diff --git a/DESCRIPTION b/DESCRIPTION
index c24892a..33aa8ea 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: weathercan
 Type: Package
 Title: Download Weather Data from Environment and Climate Change Canada
-Version: 0.7.1.9000
+Version: 0.7.2
 Authors@R: c(
      person("Steffi", "LaZerte", email = "sel@steffilazerte.ca", role = c("aut","cre"), comment = c(ORCID = "0000-0002-7690-8360")),
      person("Sam", "Albers", email = "sam.albers@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0002-9270-7884")),
@@ -18,7 +18,7 @@ Language: en-CA
 BugReports: https://github.com/ropensci/weathercan/issues/
 LazyData: TRUE
 URL: https://docs.ropensci.org/weathercan/, https://github.com/ropensci/weathercan/
-Depends: R (>= 3.3.0)
+Depends: R (>= 4.1.0)
 Imports:
     dplyr (>= 1.0.0),
     httr (>= 1.4.2),
@@ -35,7 +35,7 @@ Imports:
     tidyselect (>= 1.0.0),
     xml2 (>= 0.1.2),
     rappdirs (>= 0.3.3)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.1
 Roxygen: list(markdown = TRUE)
 Suggests:
     devtools,
diff --git a/NAMESPACE b/NAMESPACE
index 49a6fad..126115f 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -10,3 +10,4 @@ export(weather_dl)
 export(weather_interp)
 importFrom(dplyr,"%>%")
 importFrom(rlang,.data)
+importFrom(rlang,.env)
diff --git a/R/sysdata.rda b/R/sysdata.rda
index 292d68b..3ffddf5 100755
Binary files a/R/sysdata.rda and b/R/sysdata.rda differ
diff --git a/R/weathercan-pkg.R b/R/weathercan-package.R
similarity index 65%
rename from R/weathercan-pkg.R
rename to R/weathercan-package.R
index 60df735..08109e0 100644
--- a/R/weathercan-pkg.R
+++ b/R/weathercan-package.R
@@ -33,21 +33,18 @@
 #'  - [`kamloops_day`]
 #'  - [`pg`]
 #'
-#' As well as several vignettes:
+#' As well as several vignettes available in the package and [Online](https://docs.ropensci.org/weathercan/):
 #'
-#'  - General Usage: `vignette("usage")`
-#'  - Merging and Interpolating: `vignette("interpolation")`
-#'  - Flags and Codes: `vignette("flags")`
-#'  - Weather Data Glossary: `vignette("glossary")`
-#'  - Climate Normals Glossary: `vignette("glossary_normals")`
+#'  - [General Usage](https://docs.ropensci.org/weathercan/articles/weathercan.html): `vignette("weathercan", package = "weathercan")`
+#'  - [Interpolating](https://docs.ropensci.org/weathercan/articles/interpolate_data.html): `vignette("interpolation", package = "weathercan")`
+#'  - [Reproducibility](https://docs.ropensci.org/weathercan/articles/reproducibility.html): `vignette("reproducibility", package = "weathercan")`
+#'  - [Flags and Codes](https://docs.ropensci.org/weathercan/articles/flags.html): `vignette("flags", package = "weathercan")`
+#'  - [Weather: Terms and Units](https://docs.ropensci.org/weathercan/articles/glossary.html): `vignette("glossary", package = "weathercan")`
+#'  - [Climate Normals: Terms and Units](https://docs.ropensci.org/weathercan/articles/glossary_normals.html): `vignette("glossary_normals", package = "weathercan")`
 #'
-#' [Online](https://docs.ropensci.org/weathercan/) we also have some
-#' advanced articles:
+#' We also have some advanced articles:
 #'
-#'  - Using `weathercan` with [tidyverse](https://www.tidyverse.org/)
-#'  ([here](https://docs.ropensci.org/weathercan/articles/articles/use_with_tidyverse.html))
-#'  - Mapping weather data
-#'  ([here](https://docs.ropensci.org/weathercan/articles/articles/mapping.html))
+#'  - [Using `weathercan` with tidyhydat](https://docs.ropensci.org/weathercan/articles/tidyhydat.html))
 #'
 #' @references
 #' Environment and Climate Change Canada: <https://www.canada.ca/en/environment-climate-change.html>
@@ -57,12 +54,10 @@
 #' ECCC Historical Climate Data: <https://climate.weather.gc.ca/>
 #'
 #'
-#' @docType package
-#' @name weathercan-package
-#' @aliases weathercan weathercan-package
+#' @keywords internal
+"_PACKAGE"
 #' @importFrom dplyr "%>%"
-#' @importFrom rlang .data
-
+#' @importFrom rlang .data .env
 NULL
 
 # Dealing with CRAN Notes due to Non-standard evaluation
@@ -85,7 +80,6 @@ NULL
           "https://climate.weather.gc.ca/climate_normals/station_inventory_e.html",
           weathercan.time.message = FALSE)
 
-
   # CRAN Note avoidance
   if(getRversion() >= "2.15.1")
     utils::globalVariables(
@@ -96,3 +90,9 @@ NULL
     )
   invisible()
 }
+
+.onAttach <- function(libname, pkgname) {
+  packageStartupMessage(
+    "As of v0.7.2, the `normals` column in `stations()` reflects whether or not ",
+    "there\nare *any* normals available (not just the most recent).")
+}
diff --git a/README.Rmd b/README.Rmd
index 413797b..01011b7 100755
--- a/README.Rmd
+++ b/README.Rmd
@@ -34,7 +34,7 @@ For more details and tutorials checkout the [weathercan website](https://docs.ro
 
 ## Installation
 
-You can install `weathercan` from the [rOpenSci r-Universe](https://ropensci.r-universe.dev/ui/):
+You can install `weathercan` from the [rOpenSci r-Universe](https://ropensci.r-universe.dev/):
 
 ```{r, eval = FALSE}
 install.packages("weathercan", 
diff --git a/README.md b/README.md
index 59dd352..bcb9308 100644
--- a/README.md
+++ b/README.md
@@ -34,7 +34,7 @@ docs](http://ropensci.github.io/weathercan/))
 ## Installation
 
 You can install `weathercan` from the [rOpenSci
-r-Universe](https://ropensci.r-universe.dev/ui/):
+r-Universe](https://ropensci.r-universe.dev/):
 
 ``` r
 install.packages("weathercan", 
@@ -61,22 +61,23 @@ stations and their details (including `station_id`).
 head(stations())
 ```
 
-    ## # A tibble: 6 × 16
-    ##   prov  station_name        station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1981_2010 normals_1971_2000
+    ## # A tibble: 6 × 17
+    ##   prov  station_name        station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1991_2020 normals_1981_2010
     ##   <chr> <chr>                    <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <chr>    <dbl> <dbl> <lgl>   <lgl>             <lgl>            
     ## 1 AB    DAYSLAND                  1795 301AR54        NA <NA>   52.9 -112.  689. Etc/GMT+7 day       1908  1922 FALSE   FALSE             FALSE            
     ## 2 AB    DAYSLAND                  1795 301AR54        NA <NA>   52.9 -112.  689. Etc/GMT+7 hour        NA    NA FALSE   FALSE             FALSE            
     ## 3 AB    DAYSLAND                  1795 301AR54        NA <NA>   52.9 -112.  689. Etc/GMT+7 month     1908  1922 FALSE   FALSE             FALSE            
     ## 4 AB    EDMONTON CORONATION       1796 301BK03        NA <NA>   53.6 -114.  671. Etc/GMT+7 day       1978  1979 FALSE   FALSE             FALSE            
     ## 5 AB    EDMONTON CORONATION       1796 301BK03        NA <NA>   53.6 -114.  671. Etc/GMT+7 hour        NA    NA FALSE   FALSE             FALSE            
-    ## 6 AB    EDMONTON CORONATION       1796 301BK03        NA <NA>   53.6 -114.  671. Etc/GMT+7 month     1978  1979 FALSE   FALSE             FALSE
+    ## 6 AB    EDMONTON CORONATION       1796 301BK03        NA <NA>   53.6 -114.  671. Etc/GMT+7 month     1978  1979 FALSE   FALSE             FALSE            
+    ## # ℹ 1 more variable: normals_1971_2000 <lgl>
 
 ``` r
 glimpse(stations())
 ```
 
     ## Rows: 26,382
-    ## Columns: 16
+    ## Columns: 17
     ## $ prov              <chr> "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", …
     ## $ station_name      <chr> "DAYSLAND", "DAYSLAND", "DAYSLAND", "EDMONTON CORONATION", "EDMONTON CORONATION", "EDMONTON CORONATION", "FLEET", "FLEET", "FLEET", …
     ## $ station_id        <dbl> 1795, 1795, 1795, 1796, 1796, 1796, 1797, 1797, 1797, 1798, 1798, 1798, 1799, 1799, 1799, 1800, 1800, 1800, 1801, 1801, 1801, 1802, …
@@ -91,6 +92,7 @@ glimpse(stations())
     ## $ start             <dbl> 1908, NA, 1908, 1978, NA, 1978, 1987, NA, 1987, 1987, NA, 1987, 1980, NA, 1980, 1980, NA, 1980, 1986, NA, 1986, 1987, NA, 1987, 1986…
     ## $ end               <dbl> 1922, NA, 1922, 1979, NA, 1979, 1990, NA, 1990, 1998, NA, 1998, 2009, NA, 2007, 1981, NA, 1981, 2019, NA, 2007, 1991, NA, 1991, 1995…
     ## $ normals           <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, TRU…
+    ## $ normals_1991_2020 <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,…
     ## $ normals_1981_2010 <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, TRU…
     ## $ normals_1971_2000 <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,…
 
@@ -101,12 +103,13 @@ You can look through this data frame directly, or you can use the
 stations_search("Kamloops", interval = "hour")
 ```
 
-    ## # A tibble: 3 × 16
-    ##   prov  station_name station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1981_2010 normals_1971_2000
+    ## # A tibble: 3 × 17
+    ##   prov  station_name station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1991_2020 normals_1981_2010
     ##   <chr> <chr>             <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <chr>    <dbl> <dbl> <lgl>   <lgl>             <lgl>            
     ## 1 BC    KAMLOOPS A         1275 1163780     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      1953  2013 TRUE    TRUE              TRUE             
-    ## 2 BC    KAMLOOPS A        51423 1163781     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      2013  2023 FALSE   FALSE             FALSE            
-    ## 3 BC    KAMLOOPS AUT      42203 1163842     71741 ZKA    50.7 -120.  345  Etc/GMT+8 hour      2006  2023 FALSE   FALSE             FALSE
+    ## 2 BC    KAMLOOPS A        51423 1163781     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      2013  2023 TRUE    TRUE              FALSE            
+    ## 3 BC    KAMLOOPS AUT      42203 1163842     71741 ZKA    50.7 -120.  345  Etc/GMT+8 hour      2006  2023 TRUE    TRUE              FALSE            
+    ## # ℹ 1 more variable: normals_1971_2000 <lgl>
 
 Time frame must be one of “hour”, “day”, or “month”.
 
@@ -116,12 +119,13 @@ You can also search by proximity:
 stations_search(coords = c(50.667492, -120.329049), dist = 20, interval = "hour")
 ```
 
-    ## # A tibble: 3 × 17
-    ##   prov  station_name station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1981_2010 normals_1971_2000 distance
-    ##   <chr> <chr>             <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <chr>    <dbl> <dbl> <lgl>   <lgl>             <lgl>                <dbl>
-    ## 1 BC    KAMLOOPS A         1275 1163780     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      1953  2013 TRUE    TRUE              TRUE                  8.61
-    ## 2 BC    KAMLOOPS AUT      42203 1163842     71741 ZKA    50.7 -120.  345  Etc/GMT+8 hour      2006  2023 FALSE   FALSE             FALSE                 8.61
-    ## 3 BC    KAMLOOPS A        51423 1163781     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      2013  2023 FALSE   FALSE             FALSE                 9.26
+    ## # A tibble: 3 × 18
+    ##   prov  station_name station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1991_2020 normals_1981_2010
+    ##   <chr> <chr>             <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <chr>    <dbl> <dbl> <lgl>   <lgl>             <lgl>            
+    ## 1 BC    KAMLOOPS A         1275 1163780     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      1953  2013 TRUE    TRUE              TRUE             
+    ## 2 BC    KAMLOOPS AUT      42203 1163842     71741 ZKA    50.7 -120.  345  Etc/GMT+8 hour      2006  2023 TRUE    TRUE              FALSE            
+    ## 3 BC    KAMLOOPS A        51423 1163781     71887 YKA    50.7 -120.  345. Etc/GMT+8 hour      2013  2023 TRUE    TRUE              FALSE            
+    ## # ℹ 2 more variables: normals_1971_2000 <lgl>, distance <dbl>
 
 You can update this list of stations with
 
@@ -148,7 +152,7 @@ stations_meta()
     ## [1] "2023-01-24 23:30:00 UTC"
     ## 
     ## $weathercan_modified
-    ## [1] "2023-09-20"
+    ## [1] "2024-11-12"
 
 **Note:** For reproducibility, if you are using the stations list to
 gather your data, it can be a good idea to take note of the ECCC date of
@@ -200,10 +204,13 @@ associated with the station you’re interested in.
 stations_search("Winnipeg", normals_years = "current")
 ```
 
-    ## # A tibble: 1 × 13
-    ##   prov  station_name                station_id climate_id WMO_id TC_id   lat   lon  elev tz        normals normals_1981_2010 normals_1971_2000
-    ##   <chr> <chr>                            <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <lgl>   <lgl>             <lgl>            
-    ## 1 MB    WINNIPEG RICHARDSON INT'L A       3698 5023222     71852 YWG    49.9 -97.2  239. Etc/GMT+6 TRUE    TRUE              TRUE
+    ## # A tibble: 4 × 14
+    ##   prov  station_name                station_id climate_id WMO_id TC_id   lat   lon  elev tz        normals normals_1991_2020 normals_1981_2010 normals_1971_2000
+    ##   <chr> <chr>                            <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <lgl>   <lgl>             <lgl>             <lgl>            
+    ## 1 MB    WINNIPEG A CS                    27174 502S001     71849 XWG    49.9 -97.2  239. Etc/GMT+6 TRUE    TRUE              FALSE             FALSE            
+    ## 2 MB    WINNIPEG INTL A                  51097 5023227        NA YWG    49.9 -97.2  239. Etc/GMT+6 TRUE    TRUE              FALSE             FALSE            
+    ## 3 MB    WINNIPEG RICHARDSON AWOS         47407 5023226     71852 YWG    49.9 -97.2  239. Etc/GMT+6 TRUE    TRUE              FALSE             FALSE            
+    ## 4 MB    WINNIPEG RICHARDSON INT'L A       3698 5023222     71852 YWG    49.9 -97.2  239. Etc/GMT+6 TRUE    TRUE              TRUE              TRUE
 
 Then you can download the climate normals with the `normals_dl()`
 function.
diff --git a/codemeta.json b/codemeta.json
index 8340ffd..bfa3890 100644
--- a/codemeta.json
+++ b/codemeta.json
@@ -1,28 +1,26 @@
 {
-  "@context": [
-    "http://purl.org/codemeta/2.0",
-    "http://schema.org"
-  ],
+  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
   "@type": "SoftwareSourceCode",
   "identifier": "weathercan",
-  "description": "Provides means for downloading historical weather data from \n    the Environment and Climate Change Canada website \n    (<https://climate.weather.gc.ca/historical_data/search_historic_data_e.html>). \n    Data can be downloaded from multiple stations and over large date ranges \n    and automatically processed into a single dataset. Tools are also provided \n    to identify stations either by name or proximity to a location.",
+  "description": "Provides means for downloading historical weather data from the Environment and Climate Change Canada website (<https://climate.weather.gc.ca/historical_data/search_historic_data_e.html>). Data can be downloaded from multiple stations and over large date ranges and automatically processed into a single dataset. Tools are also provided to identify stations either by name or proximity to a location.",
   "name": "weathercan: Download Weather Data from Environment and Climate Change Canada",
+  "relatedLink": "https://docs.ropensci.org/weathercan/",
   "codeRepository": "https://github.com/ropensci/weathercan/",
   "issueTracker": "https://github.com/ropensci/weathercan/issues/",
   "license": "https://spdx.org/licenses/GPL-3.0",
-  "version": "0.6.2",
+  "version": "0.7.2",
   "programmingLanguage": {
     "@type": "ComputerLanguage",
     "name": "R",
     "url": "https://r-project.org"
   },
-  "runtimePlatform": "R version 4.1.2 (2021-11-01)",
+  "runtimePlatform": "R version 4.4.0 (2024-04-24)",
   "author": [
     {
       "@type": "Person",
       "givenName": "Steffi",
       "familyName": "LaZerte",
-      "email": "steffi@steffi.ca",
+      "email": "sel@steffilazerte.ca",
       "@id": "https://orcid.org/0000-0002-7690-8360"
     }
   ],
@@ -54,7 +52,7 @@
       "@type": "Person",
       "givenName": "Steffi",
       "familyName": "LaZerte",
-      "email": "steffi@steffi.ca",
+      "email": "sel@steffilazerte.ca",
       "@id": "https://orcid.org/0000-0002-7690-8360"
     }
   ],
@@ -181,50 +179,51 @@
     },
     {
       "@type": "SoftwareApplication",
-      "identifier": "sp",
-      "name": "sp",
+      "identifier": "testthat",
+      "name": "testthat",
+      "version": ">= 3.0.0",
       "provider": {
         "@id": "https://cran.r-project.org",
         "@type": "Organization",
         "name": "Comprehensive R Archive Network (CRAN)",
         "url": "https://cran.r-project.org"
       },
-      "sameAs": "https://CRAN.R-project.org/package=sp"
+      "sameAs": "https://CRAN.R-project.org/package=testthat"
     },
     {
       "@type": "SoftwareApplication",
-      "identifier": "testthat",
-      "name": "testthat",
+      "identifier": "vcr",
+      "name": "vcr",
+      "version": ">= 1.0.2",
       "provider": {
         "@id": "https://cran.r-project.org",
         "@type": "Organization",
         "name": "Comprehensive R Archive Network (CRAN)",
         "url": "https://cran.r-project.org"
       },
-      "sameAs": "https://CRAN.R-project.org/package=testthat"
+      "sameAs": "https://CRAN.R-project.org/package=vcr"
     },
     {
       "@type": "SoftwareApplication",
-      "identifier": "vcr",
-      "name": "vcr",
-      "version": ">= 1.0.2",
+      "identifier": "withr",
+      "name": "withr",
       "provider": {
         "@id": "https://cran.r-project.org",
         "@type": "Organization",
         "name": "Comprehensive R Archive Network (CRAN)",
         "url": "https://cran.r-project.org"
       },
-      "sameAs": "https://CRAN.R-project.org/package=vcr"
+      "sameAs": "https://CRAN.R-project.org/package=withr"
     }
   ],
-  "softwareRequirements": [
-    {
+  "softwareRequirements": {
+    "1": {
       "@type": "SoftwareApplication",
       "identifier": "R",
       "name": "R",
-      "version": ">= 3.3.0"
+      "version": ">= 4.1.0"
     },
-    {
+    "2": {
       "@type": "SoftwareApplication",
       "identifier": "dplyr",
       "name": "dplyr",
@@ -237,7 +236,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=dplyr"
     },
-    {
+    "3": {
       "@type": "SoftwareApplication",
       "identifier": "httr",
       "name": "httr",
@@ -250,7 +249,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=httr"
     },
-    {
+    "4": {
       "@type": "SoftwareApplication",
       "identifier": "lubridate",
       "name": "lubridate",
@@ -263,7 +262,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=lubridate"
     },
-    {
+    "5": {
       "@type": "SoftwareApplication",
       "identifier": "memoise",
       "name": "memoise",
@@ -276,13 +275,13 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=memoise"
     },
-    {
+    "6": {
       "@type": "SoftwareApplication",
       "identifier": "methods",
       "name": "methods",
       "version": ">= 3.2.2"
     },
-    {
+    "7": {
       "@type": "SoftwareApplication",
       "identifier": "purrr",
       "name": "purrr",
@@ -295,7 +294,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=purrr"
     },
-    {
+    "8": {
       "@type": "SoftwareApplication",
       "identifier": "rlang",
       "name": "rlang",
@@ -308,7 +307,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=rlang"
     },
-    {
+    "9": {
       "@type": "SoftwareApplication",
       "identifier": "readr",
       "name": "readr",
@@ -321,7 +320,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=readr"
     },
-    {
+    "10": {
       "@type": "SoftwareApplication",
       "identifier": "rvest",
       "name": "rvest",
@@ -334,7 +333,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=rvest"
     },
-    {
+    "11": {
       "@type": "SoftwareApplication",
       "identifier": "stringi",
       "name": "stringi",
@@ -347,7 +346,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=stringi"
     },
-    {
+    "12": {
       "@type": "SoftwareApplication",
       "identifier": "stringr",
       "name": "stringr",
@@ -360,7 +359,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=stringr"
     },
-    {
+    "13": {
       "@type": "SoftwareApplication",
       "identifier": "tidyr",
       "name": "tidyr",
@@ -373,7 +372,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=tidyr"
     },
-    {
+    "14": {
       "@type": "SoftwareApplication",
       "identifier": "tidyselect",
       "name": "tidyselect",
@@ -386,7 +385,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=tidyselect"
     },
-    {
+    "15": {
       "@type": "SoftwareApplication",
       "identifier": "xml2",
       "name": "xml2",
@@ -399,7 +398,7 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=xml2"
     },
-    {
+    "16": {
       "@type": "SoftwareApplication",
       "identifier": "rappdirs",
       "name": "rappdirs",
@@ -411,11 +410,10 @@
         "url": "https://cran.r-project.org"
       },
       "sameAs": "https://CRAN.R-project.org/package=rappdirs"
-    }
-  ],
-  "releaseNotes": "https://github.com/ropensci/weathercan/blob/main/NEWS.md",
-  "readme": "https://github.com/ropensci/weathercan/blob/main/README.md",
-  "contIntegration": "https://app.codecov.io/gh/ropensci/weathercan",
+    },
+    "SystemRequirements": null
+  },
+  "fileSize": "11844.435KB",
   "citation": [
     {
       "@type": "ScholarlyArticle",
@@ -447,32 +445,13 @@
       }
     }
   ],
-  "provider": {
-    "@id": "https://cran.r-project.org",
-    "@type": "Organization",
-    "name": "Comprehensive R Archive Network (CRAN)",
-    "url": "https://cran.r-project.org"
-  },
+  "releaseNotes": "https://github.com/ropensci/weathercan/blob/master/NEWS.md",
+  "readme": "https://github.com/ropensci/weathercan/blob/main/README.md",
+  "contIntegration": ["https://github.com/ropensci/weathercan/actions", "https://app.codecov.io/gh/ropensci/weathercan"],
   "review": {
     "@type": "Review",
     "url": "https://github.com/ropensci/software-review/issues/160",
     "provider": "https://ropensci.org"
   },
-  "keywords": [
-    "weather-data",
-    "environment-canada",
-    "weather-downloader",
-    "r",
-    "rstats",
-    "r-package",
-    "peer-reviewed"
-  ],
-  "relatedLink": [
-    "https://CRAN.R-project.org/package=weathercan",
-    "https://docs.ropensci.org/weathercan",
-    "https://docs.ropensci.org/weathercan/"
-  ],
-  "copyrightHolder": {},
-  "funder": {},
-  "fileSize": "11280.82KB"
+  "keywords": ["weather-data", "environment-canada", "weather-downloader", "r", "rstats", "r-package", "peer-reviewed"]
 }
diff --git a/inst/CITATION b/inst/CITATION
index dbfb8b5..18ed7f3 100644
--- a/inst/CITATION
+++ b/inst/CITATION
@@ -1,7 +1,7 @@
 citHeader("To cite 'weathercan' in publications, please use:")
 
 
-citEntry(entry = "article",
+bibentry(bibtype = "Article",
          title = "{weathercan}: {D}ownload and format weather data from Environment and Climate Change Canada",
          author = c(person("Stefanie E", "LaZerte"),
                     person("Sam", "Albers")),
diff --git a/inst/extdata/stations.rds b/inst/extdata/stations.rds
index 5ba6de2..4037b34 100644
Binary files a/inst/extdata/stations.rds and b/inst/extdata/stations.rds differ
diff --git a/man/normals_dl.Rd b/man/normals_dl.Rd
index 7537c3e..0760487 100644
--- a/man/normals_dl.Rd
+++ b/man/normals_dl.Rd
@@ -20,7 +20,9 @@ data frame or the \code{\link{stations_search}} function to find Climate
 IDs.}
 
 \item{normals_years}{Character. The year range for which you want climate
-normals. Default "1981-2010".}
+normals. Default "1981-2010". One of "1971-2000", "1981-2010", "1991-2020".
+Note: Some "1991-2020" are available online, but are not yet downloadable
+via weathercan.}
 
 \item{format}{Logical. If TRUE (default) formats measurements to numeric and
 date accordingly. Unlike \code{weather_dl()}, \code{normals_dl()} will always format
@@ -57,9 +59,11 @@ The data also returns a column called \code{meets_wmo} this reflects whether or
 not the climate normals for this station met the WMO standards for
 temperature and precipitation (i.e. both have code >= A). Each measurement
 column has a corresponding \verb{_code} column which reflects the data quality
-of that measurement (see the \href{https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf}{1981-2010 ECCC calculations document}
-or the \href{https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1971_2000_Calculation_Information.pdf}{1971-2000 ECCC calculations document}
-for more details)
+of that measurement (see the
+\href{https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1991_2020_Calculation_Information.pdf}{1991-2020},
+\href{https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf}{1981-2010}, or
+\href{https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1971_2000_Calculation_Information.pdf}{1971-2000}
+for more details) ECCC calculation documents.
 
 Climate normals are downloaded from the url stored in option
 \code{weathercan.urls.normals}. To change this location use:
diff --git a/man/stations.Rd b/man/stations.Rd
index 925d39c..2377cb1 100755
--- a/man/stations.Rd
+++ b/man/stations.Rd
@@ -20,9 +20,10 @@ downloading station data.}
 \item{interval}{Interval of the data measurements ('hour', 'day', 'month')}
 \item{start}{Starting year of data record}
 \item{end}{Ending year of data record}
-\item{normals}{Whether current climate normals are available for that station}
+\item{normals}{Whether \emph{any} climate normals are available for that station (new behaivour)}
+\item{normals_1991_2020}{Whether 1991-2020 climate normals are available for that station. \strong{Note} that even if available, these are not yet downloadable via weathercan.}
 \item{normals_1981_2010}{Whether 1981-2010 climate normals are available for that station}
-\item{normals_1971_2000}{Whether 1981-2010 climate normals are available for that station}
+\item{normals_1971_2000}{Whether 1971-2000 climate normals are available for that station}
 }
 }
 \source{
diff --git a/man/weathercan-package.Rd b/man/weathercan-package.Rd
index a965c76..20b1e7d 100644
--- a/man/weathercan-package.Rd
+++ b/man/weathercan-package.Rd
@@ -1,9 +1,9 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/weathercan-pkg.R
+% Please edit documentation in R/weathercan-package.R
 \docType{package}
 \name{weathercan-package}
-\alias{weathercan-package}
 \alias{weathercan}
+\alias{weathercan-package}
 \title{Easy downloading of weather data from Environment and Climate Change Canada}
 \description{
 \code{weathercan} is an R package for simplifying the downloading of
@@ -51,22 +51,19 @@ We also include several practice data sets:
 \item \code{\link{pg}}
 }
 
-As well as several vignettes:
+As well as several vignettes available in the package and \href{https://docs.ropensci.org/weathercan/}{Online}:
 \itemize{
-\item General Usage: \code{vignette("usage")}
-\item Merging and Interpolating: \code{vignette("interpolation")}
-\item Flags and Codes: \code{vignette("flags")}
-\item Weather Data Glossary: \code{vignette("glossary")}
-\item Climate Normals Glossary: \code{vignette("glossary_normals")}
+\item \href{https://docs.ropensci.org/weathercan/articles/weathercan.html}{General Usage}: \code{vignette("weathercan", package = "weathercan")}
+\item \href{https://docs.ropensci.org/weathercan/articles/interpolate_data.html}{Interpolating}: \code{vignette("interpolation", package = "weathercan")}
+\item \href{https://docs.ropensci.org/weathercan/articles/reproducibility.html}{Reproducibility}: \code{vignette("reproducibility", package = "weathercan")}
+\item \href{https://docs.ropensci.org/weathercan/articles/flags.html}{Flags and Codes}: \code{vignette("flags", package = "weathercan")}
+\item \href{https://docs.ropensci.org/weathercan/articles/glossary.html}{Weather: Terms and Units}: \code{vignette("glossary", package = "weathercan")}
+\item \href{https://docs.ropensci.org/weathercan/articles/glossary_normals.html}{Climate Normals: Terms and Units}: \code{vignette("glossary_normals", package = "weathercan")}
 }
 
-\href{https://docs.ropensci.org/weathercan/}{Online} we also have some
-advanced articles:
+We also have some advanced articles:
 \itemize{
-\item Using \code{weathercan} with \href{https://www.tidyverse.org/}{tidyverse}
-(\href{https://docs.ropensci.org/weathercan/articles/articles/use_with_tidyverse.html}{here})
-\item Mapping weather data
-(\href{https://docs.ropensci.org/weathercan/articles/articles/mapping.html}{here})
+\item \href{https://docs.ropensci.org/weathercan/articles/tidyhydat.html}{Using \code{weathercan} with tidyhydat})
 }
 }
 \references{
@@ -76,3 +73,24 @@ Glossary of terms \url{https://climate.weather.gc.ca/glossary_e.html}
 
 ECCC Historical Climate Data: \url{https://climate.weather.gc.ca/}
 }
+\seealso{
+Useful links:
+\itemize{
+  \item \url{https://docs.ropensci.org/weathercan/}
+  \item \url{https://github.com/ropensci/weathercan/}
+  \item Report bugs at \url{https://github.com/ropensci/weathercan/issues/}
+}
+
+}
+\author{
+\strong{Maintainer}: Steffi LaZerte \email{sel@steffilazerte.ca} (\href{https://orcid.org/0000-0002-7690-8360}{ORCID})
+
+Other contributors:
+\itemize{
+  \item Sam Albers \email{sam.albers@gmail.com} (\href{https://orcid.org/0000-0002-9270-7884}{ORCID}) [contributor]
+  \item Nick Brown \email{nicholas512@gmail.com} (\href{https://orcid.org/0000-0002-2719-0671}{ORCID}) [contributor]
+  \item Kevin Cazelles \email{kevin.cazelles@gmail.com} (\href{https://orcid.org/0000-0001-6619-9874}{ORCID}) [contributor]
+}
+
+}
+\keyword{internal}
diff --git a/release_script.R b/release_script.R
index f240b50..3b953b8 100644
--- a/release_script.R
+++ b/release_script.R
@@ -1,17 +1,15 @@
 # Steps/Commands to run before a CRAN release -----------------------------
 
-version <- "0.7.0"
-#usethis::use_release_issue(version = v)
-
-
-# Good practices --------------------
-goodpractice::gp()
+version <- "0.7.2"
+#usethis::use_release_issue(version = version)
 
+gert::git_pull()
+urlchecker::url_check()
 
 ## Update dependencies
 update(remotes::package_deps("weathercan", dependencies = TRUE))
 
-## Internal data files
+## Update internal data files
 source("data-raw/data-index.R")
 source("data-raw/data-raw.R")
 source("data-raw/metadata.R")
@@ -19,39 +17,36 @@ source("data-raw/metadata.R")
 ## Documentation
 
 # Update NEWS
+file.edit("NEWS.md")
 
 # Check spelling
 dict <- hunspell::dictionary('en_CA')
 devtools::spell_check()
 spelling::update_wordlist()
 
+# Check URLS
+urlchecker::url_check()
+
 # Check test coverage
 #covr::report()
 
 # Update README.Rmd
-# Compile README.md
-# REBUILD!
 devtools::build_readme()
 
-# Check/update URLS
-urlchecker::url_check()
-
 # Precompile Vignettes
 source("vignettes/precompile.R")
 
-
 ## Checks
-
-
 # Run WITH and WITHOUT internet
-#devtools::run_examples(run_donttest = TRUE)
-#devtools::test()
 
-# Local tests, as CRAN and not as CRAN
-devtools::check(remote = TRUE, manual = TRUE, run_dont_test = TRUE,
-                env_vars = list("NOT_CRAN" = ""))
-devtools::check(remote = TRUE, manual = TRUE, run_dont_test = TRUE)
+devtools::run_examples(run_donttest = TRUE)
+devtools::test()
 
+# Local tests
+devtools::check(cran = FALSE, manual = TRUE, run_dont_test = TRUE)
+devtools::check(cran = FALSE, manual = TRUE,
+                args = c("--no-examples", "--no-tests")) # Quick re-check as needed
+devtools::check_win_devel()
 
 ## Update codemeta
 codemetar::write_codemeta()
@@ -76,7 +71,8 @@ usethis::use_dev_version()
 
 
 
-
+# Good practices --------------------
+goodpractice::gp()
 
 
 
diff --git a/vignettes/articles/tidyhydat.Rmd b/vignettes/articles/tidyhydat.Rmd
index 640fb04..98e5dba 100644
--- a/vignettes/articles/tidyhydat.Rmd
+++ b/vignettes/articles/tidyhydat.Rmd
@@ -1,7 +1,7 @@
 ---
 title: "weathercan and tidyhydat"
 author: "Steffi LaZerte"
-date: "2023-09-20"
+date: "2024-11-12"
 output: rmarkdown::html_document
 ---
 
@@ -22,7 +22,7 @@ can compliment weather data from `weathercan` (and vice versa).
 ### Loading packages
 
 
-```r
+``` r
 library(weathercan)
 library(tidyhydat)
 ```
@@ -31,7 +31,7 @@ library(tidyhydat)
 ## Error in library(tidyhydat): there is no package called 'tidyhydat'
 ```
 
-```r
+``` r
 library(dplyr)
 library(ggplot2)
 library(lubridate)
@@ -44,7 +44,7 @@ library(glue)
 (Note, this can take a while!)
 
 
-```r
+``` r
 download_hydat()
 ```
 
@@ -62,50 +62,54 @@ The event occurred in late June/early July, so let's give ourselves a two-month
 range.
 
 
-```r
+``` r
 dates <- c("2020-06-01", "2020-08-01")
 ```
 
 We'll find a local Brandon weather station that has daily data for this range
 
-```r
+``` r
 stations_search("brandon", interval = "day",
                 starts_latest = 2020, ends_earliest = 2020)
 ```
 
 ```
 ## # A tibble: 2 × 16
-##   prov  station_name station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals
-##   <chr> <chr>             <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <chr>    <dbl> <dbl> <lgl>  
-## 1 MB    BRANDON A         50821 5010481     71140 YBR    49.9 -100.  409. Etc/GMT+6 day       2012  2023 FALSE  
-## 2 MB    BRANDON RCS       49909 5010490     71136 PBO    49.9 -100.  409. Etc/GMT+6 day       2012  2023 FALSE
+##   prov  station_name station_id climate_id WMO_id TC_id   lat   lon  elev tz        interval start   end normals normals_1981_2010
+##   <chr> <chr>             <dbl> <chr>       <dbl> <chr> <dbl> <dbl> <dbl> <chr>     <chr>    <dbl> <dbl> <lgl>   <lgl>            
+## 1 MB    BRANDON A         50821 5010481     71140 YBR    49.9 -100.  409. Etc/GMT+6 day       2012  2023 FALSE   FALSE            
+## 2 MB    BRANDON RCS       49909 5010490     71136 PBO    49.9 -100.  409. Etc/GMT+6 day       2012  2023 FALSE   FALSE            
+## # ℹ 1 more variable: normals_1971_2000 <lgl>
 ```
 
 In this case "A" is for "Airport", let's go with that!
 
 
-```r
+``` r
 rain <- weather_dl(station_ids = 50821, interval = "day", start = dates[1], end = dates[2])
 ```
 
 Take a quick look:
 
 
-```r
+``` r
 ggplot(data = rain, aes(x = date, y = total_rain)) +
   theme_bw() +
   geom_bar(stat = "identity") +
   scale_y_continuous(name = "Total Rain (mm)", expand = c(0,0))
 ```
 
-<img src="figures/tidyhydat-unnamed-chunk-7-1.png" alt="plot of chunk unnamed-chunk-7" width="80%" style="display: block; margin: auto;" />
+<div class="figure" style="text-align: center">
+<img src="figures/tidyhydat-unnamed-chunk-7-1.png" alt="plot of chunk unnamed-chunk-7" width="80%" />
+<p class="caption">plot of chunk unnamed-chunk-7</p>
+</div>
 
 Yikes! You can see why my downspout came off!
 
 Now let's get some HYDAT data to compare. First we'll find a local station
 
 
-```r
+``` r
 search_stn_name("brandon")
 ```
 
@@ -118,7 +122,7 @@ to only Manitoba and only stations with 2020 data with the `hy_stn_data_range()`
 function.
 
 
-```r
+``` r
 search_stn_name("brandon") %>%
   filter(PROV_TERR_STATE_LOC == "MB") %>%
   pull(STATION_NUMBER) %>%
@@ -134,7 +138,7 @@ Hmm, let's see what kind of data is available by looking at the included
 `hy_data_types` data frame.
 
 
-```r
+``` r
 filter(hy_data_types, DATA_TYPE %in% c("H", "Q"))
 ```
 
@@ -148,7 +152,7 @@ Great! We have both flow and water level data for a station number "05MH001",
 
 Let's grab the flow and water level data for this station.
 
-```r
+``` r
 flow <- hy_daily_flows(station_number = "05MH001",
                        start_date = dates[1], end_date = dates[2])
 ```
@@ -157,7 +161,7 @@ flow <- hy_daily_flows(station_number = "05MH001",
 ## Error in hy_daily_flows(station_number = "05MH001", start_date = dates[1], : could not find function "hy_daily_flows"
 ```
 
-```r
+``` r
 level <- hy_daily_levels(station_number = "05MH001",
                          start_date = dates[1], end_date = dates[2])
 ```
@@ -169,7 +173,7 @@ level <- hy_daily_levels(station_number = "05MH001",
 ### Ploting rain and flow
 
 
-```r
+``` r
 g <- ggplot() +
   theme_bw() +
   theme(axis.title.x = element_blank()) +
@@ -185,7 +189,7 @@ g <- ggplot() +
 ## Error in eval(expr, envir, enclos): object 'flow' not found
 ```
 
-```r
+``` r
 g
 ```
 
@@ -201,7 +205,7 @@ called "lag to peak").
 Let's add a bit of information about this lag to peak.
 
 
-```r
+``` r
 d <- data.frame(dates = c(rain$date[which.max(rain$total_precip)],
                           flow$Date[which.max(flow$Value)]),
                 y = max(flow$Value) + 5)
@@ -211,7 +215,7 @@ d <- data.frame(dates = c(rain$date[which.max(rain$total_precip)],
 ## Error in eval(expr, envir, enclos): object 'flow' not found
 ```
 
-```r
+``` r
 g +
   geom_path(data = d, aes(x = dates, y = y),
               arrow = arrow(length = unit(0.25, "lines"), ends = "both", type = "closed")) +
@@ -233,7 +237,7 @@ local contributions), which takes time to travel.
 ### Ploting rain and water level
 
 
-```r
+``` r
 g <- ggplot() +
   theme_bw() +
   theme(axis.title.x = element_blank()) +
@@ -251,7 +255,7 @@ g <- ggplot() +
 ## Error in eval(expr, envir, enclos): object 'level' not found
 ```
 
-```r
+``` r
 g
 ```
 
@@ -262,7 +266,7 @@ g
 Again there looks to be a lag, let's see if it's the same as before.
 
 
-```r
+``` r
 d <- data.frame(dates = c(rain$date[which.max(rain$total_precip)],
                           level$Date[which.max(level$Value)]),
                 y = max(level$Value)*1.00025)
@@ -272,7 +276,7 @@ d <- data.frame(dates = c(rain$date[which.max(rain$total_precip)],
 ## Error in eval(expr, envir, enclos): object 'level' not found
 ```
 
-```r
+``` r
 g +
   geom_path(data = d, aes(x = dates, y = y),
               arrow = arrow(length = unit(0.25, "lines"), ends = "both", type = "closed")) +
@@ -292,7 +296,7 @@ g +
 Looks like the flow and water level match up, perhaps we should take a closer look.
 
 
-```r
+``` r
 ggplot() +
   theme_bw() +
   theme(legend.position = c(0.8, 0.8)) +
@@ -308,6 +312,13 @@ ggplot() +
                                  "Level" = "grey30"))
 ```
 
+```
+## Warning: A numeric `legend.position` argument in `theme()` was deprecated in ggplot2 3.5.0.
+## ℹ Please use the `legend.position.inside` argument of `theme()` instead.
+## This warning is displayed once every 8 hours.
+## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.
+```
+
 ```
 ## Error in eval(expr, envir, enclos): object 'flow' not found
 ```
diff --git a/vignettes/figures/interp-unnamed-chunk-10-1.png b/vignettes/figures/interp-unnamed-chunk-10-1.png
index 017b47d..ad8625a 100644
Binary files a/vignettes/figures/interp-unnamed-chunk-10-1.png and b/vignettes/figures/interp-unnamed-chunk-10-1.png differ
diff --git a/vignettes/figures/interp-unnamed-chunk-11-1.png b/vignettes/figures/interp-unnamed-chunk-11-1.png
index 3408e67..f13702c 100644
Binary files a/vignettes/figures/interp-unnamed-chunk-11-1.png and b/vignettes/figures/interp-unnamed-chunk-11-1.png differ
diff --git a/vignettes/figures/interp-unnamed-chunk-13-1.png b/vignettes/figures/interp-unnamed-chunk-13-1.png
index 863c9d2..53f710a 100644
Binary files a/vignettes/figures/interp-unnamed-chunk-13-1.png and b/vignettes/figures/interp-unnamed-chunk-13-1.png differ
diff --git a/vignettes/figures/normals-unnamed-chunk-7-1.png b/vignettes/figures/normals-unnamed-chunk-7-1.png
new file mode 100644
index 0000000..2624590
Binary files /dev/null and b/vignettes/figures/normals-unnamed-chunk-7-1.png differ
diff --git a/vignettes/flags.Rmd b/vignettes/flags.Rmd
index 906f989..7b48ec1 100644
--- a/vignettes/flags.Rmd
+++ b/vignettes/flags.Rmd
@@ -1,7 +1,7 @@
 ---
 title: "Flags and codes"
 author: "Steffi LaZerte"
-date: "2023-09-20"
+date: "2024-11-12"
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Flags and codes}
@@ -40,7 +40,8 @@ For example, a sample of unformatted data from Magog station in Quebec looks lik
 ##  9 MAGOG        2017-11     70.0                ^                   0                        
 ## 10 MAGOG        2017-12     45.7                ^                   10                       
 ## 11 MAGOG        2018-01     34.6                ^                   2                        
-## 12 MAGOG        2018-02     77.2                ^                   0
+## 12 MAGOG        2018-02     77.2                ^                   0                        
+## # ℹ 1 more variable: `Snow Grnd Last Day Flag` <chr>
 ```
 
 In this output, you can see two flags: `^` in `Total Precip` and `M` in `Snow Grnd Last Day`
@@ -95,6 +96,23 @@ The flags index can be accessed through the built in data frame: `flags`
 In the `normals_dl`() function, codes are associated with each variable:
 
 
+```
+## Warning: There were 2 warnings in `dplyr::mutate()`.
+## The first warning was:
+## ℹ In argument: `frost = purrr::map2(...)`.
+## Caused by warning:
+## ! 21 parsing failures.
+## row col  expected     actual         file
+##   4  -- 3 columns 15 columns literal data
+##   5  -- 3 columns 15 columns literal data
+##   6  -- 3 columns 15 columns literal data
+##   7  -- 3 columns 15 columns literal data
+##   8  -- 3 columns 15 columns literal data
+## ... ... ......... .......... ............
+## See problems(...) for more details.
+## ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning.
+```
+
 ```
 ## # A tibble: 13 × 7
 ##    period temp_daily_average temp_daily_average_code temp_daily_max temp_daily_max_code
@@ -111,7 +129,8 @@ In the `normals_dl`() function, codes are associated with each variable:
 ## 10 Oct                   4.1 A                                 10.4 A                  
 ## 11 Nov                  -5.6 A                                 -0.5 A                  
 ## 12 Dec                 -14   A                                 -9   A                  
-## 13 Year                  2.2 A                                  8.4 A
+## 13 Year                  2.2 A                                  8.4 A                  
+## # ℹ 2 more variables: temp_daily_min <dbl>, temp_daily_min_code <chr>
 ```
 
 For example, here, the code indicates that these temperature variables meet the WMO '3 and 5 rule' (no more than 3 consecutive and no more than 5 total missing for either temperature or precipitation).                                                                   
diff --git a/vignettes/interpolate_data.Rmd b/vignettes/interpolate_data.Rmd
index 587a1a3..ff05ae9 100644
--- a/vignettes/interpolate_data.Rmd
+++ b/vignettes/interpolate_data.Rmd
@@ -1,7 +1,7 @@
 ---
 title: "Interpolating"
 author: "Steffi LaZerte"
-date: "2023-09-20"
+date: "2024-11-12"
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Interpolating}
@@ -17,7 +17,7 @@ vignette: >
 You'll need several packages from the **tidyverse** in addition to **`weathercan`** to complete the following analysis.
 
 
-```r
+``` r
 library(weathercan)
 library(ggplot2)
 library(dplyr)
@@ -29,71 +29,71 @@ You can merge weather data with other data frames by linearly interpolating betw
 For example, here we have a dataset of weather data from Kamloops
 
 
-```r
+``` r
 glimpse(kamloops)
 ```
 
 ```
 ## Rows: 4,368
 ## Columns: 37
-## $ station_name     <chr> "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLO…
-## $ station_id       <dbl> 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423,…
-## $ station_operator <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ prov             <chr> "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", …
-## $ lat              <dbl> 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, …
-## $ lon              <dbl> -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, …
-## $ elev             <dbl> 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3,…
-## $ climate_id       <chr> "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1…
-## $ WMO_id           <chr> "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", …
-## $ TC_id            <chr> "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA",…
-## $ date             <date> 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-…
-## $ time             <dttm> 2016-01-01 00:00:00, 2016-01-01 01:00:00, 2016-01-01 02:00:00, 2016-01-01 03:00:00, 2016-…
-## $ year             <chr> "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2…
-## $ month            <chr> "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", …
-## $ day              <chr> "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", …
-## $ hour             <chr> "00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", …
-## $ weather          <chr> NA, "Mostly Cloudy", NA, NA, "Cloudy", NA, NA, "Cloudy", NA, "Snow", "Snow", "Snow", "Snow…
-## $ hmdx             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ hmdx_flag        <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ precip_amt       <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ precip_amt_flag  <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ pressure         <dbl> 99.95, 99.93, 99.92, 99.90, 99.86, 99.82, 99.80, 99.78, 99.77, 99.78, 99.79, 99.74, 99.69,…
-## $ pressure_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ rel_hum          <dbl> 74, 76, 74, 73, 70, 71, 69, 69, 71, 71, 71, 70, 69, 70, 68, 68, 70, 74, 73, 74, 74, 74, 77…
-## $ rel_hum_flag     <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ temp             <dbl> -9.1, -9.6, -9.9, -9.5, -9.4, -9.8, -10.0, -10.2, -10.1, -9.7, -9.4, -9.0, -8.6, -8.2, -8.…
-## $ temp_dew         <dbl> -12.9, -13.1, -13.7, -13.5, -13.9, -14.1, -14.7, -14.9, -14.4, -14.0, -13.7, -13.5, -13.3,…
-## $ temp_dew_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ temp_flag        <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ visib            <dbl> 64.4, 64.4, 64.4, 64.4, 64.4, 64.4, 64.4, 64.4, 48.3, 48.3, 48.3, 48.3, 48.3, 48.3, 48.3, …
-## $ visib_flag       <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ wind_chill       <dbl> -17, -17, -18, -17, -17, -17, -18, -17, -17, -16, -15, -14, -14, -13, -13, -13, -13, -14, …
-## $ wind_chill_flag  <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ wind_dir         <dbl> 13, 11, 11, 11, 11, 10, 9, 7, 7, 10, 11, 10, 10, 13, 11, 10, 10, 9, 12, 10, 13, 12, 10, 12…
-## $ wind_dir_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
-## $ wind_spd         <dbl> 19, 20, 20, 18, 18, 16, 23, 15, 14, 15, 12, 11, 12, 9, 10, 12, 11, 12, 10, 11, 11, 6, 6, 4…
-## $ wind_spd_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
+## $ station_name     <chr> "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A", "KAMLOOPS A…
+## $ station_id       <dbl> 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 51423, 5142…
+## $ station_operator <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ prov             <chr> "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "BC", "…
+## $ lat              <dbl> 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 50.7, 5…
+## $ lon              <dbl> -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -120.45, -…
+## $ elev             <dbl> 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.3, 345.…
+## $ climate_id       <chr> "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1163781", "1163781",…
+## $ WMO_id           <chr> "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "71887", "…
+## $ TC_id            <chr> "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA", "YKA…
+## $ date             <date> 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, 2016-01-01, …
+## $ time             <dttm> 2016-01-01 00:00:00, 2016-01-01 01:00:00, 2016-01-01 02:00:00, 2016-01-01 03:00:00, 2016-01-01 04:00:00, 201…
+## $ year             <chr> "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016", "2016…
+## $ month            <chr> "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "…
+## $ day              <chr> "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "…
+## $ hour             <chr> "00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", "10:00", "11:00", "…
+## $ weather          <chr> NA, "Mostly Cloudy", NA, NA, "Cloudy", NA, NA, "Cloudy", NA, "Snow", "Snow", "Snow", "Snow", "Snow", "Snow", …
+## $ hmdx             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ hmdx_flag        <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ precip_amt       <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ precip_amt_flag  <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ pressure         <dbl> 99.95, 99.93, 99.92, 99.90, 99.86, 99.82, 99.80, 99.78, 99.77, 99.78, 99.79, 99.74, 99.69, 99.62, 99.56, 99.5…
+## $ pressure_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ rel_hum          <dbl> 74, 76, 74, 73, 70, 71, 69, 69, 71, 71, 71, 70, 69, 70, 68, 68, 70, 74, 73, 74, 74, 74, 77, 72, 72, 73, 74, 7…
+## $ rel_hum_flag     <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ temp             <dbl> -9.1, -9.6, -9.9, -9.5, -9.4, -9.8, -10.0, -10.2, -10.1, -9.7, -9.4, -9.0, -8.6, -8.2, -8.1, -7.7, -8.1, -8.5…
+## $ temp_dew         <dbl> -12.9, -13.1, -13.7, -13.5, -13.9, -14.1, -14.7, -14.9, -14.4, -14.0, -13.7, -13.5, -13.3, -12.8, -13.0, -12.…
+## $ temp_dew_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ temp_flag        <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ visib            <dbl> 64.4, 64.4, 64.4, 64.4, 64.4, 64.4, 64.4, 64.4, 48.3, 48.3, 48.3, 48.3, 48.3, 48.3, 48.3, 48.3, 24.1, 48.3, 4…
+## $ visib_flag       <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ wind_chill       <dbl> -17, -17, -18, -17, -17, -17, -18, -17, -17, -16, -15, -14, -14, -13, -13, -13, -13, -14, -13, -14, -14, -12,…
+## $ wind_chill_flag  <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ wind_dir         <dbl> 13, 11, 11, 11, 11, 10, 9, 7, 7, 10, 11, 10, 10, 13, 11, 10, 10, 9, 12, 10, 13, 12, 10, 12, NA, 32, 26, 26, 2…
+## $ wind_dir_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
+## $ wind_spd         <dbl> 19, 20, 20, 18, 18, 16, 23, 15, 14, 15, 12, 11, 12, 9, 10, 12, 11, 12, 10, 11, 11, 6, 6, 4, 0, 4, 9, 10, 8, 7…
+## $ wind_spd_flag    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
 ```
 
 As well as a data set of finch visits to an RFID feeder
 
-```r
+``` r
 glimpse(finches)
 ```
 
 ```
 ## Rows: 16,886
 ## Columns: 10
-## $ animal_id <fct> 041868FF93, 041868FF93, 041868FF93, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 0…
-## $ date      <date> 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, …
-## $ time      <dttm> 2016-03-01 06:57:42, 2016-03-01 06:58:41, 2016-03-01 07:07:21, 2016-03-01 07:32:34, 2016-03-01 0…
-## $ logger_id <fct> 2300, 2300, 2300, 2400, 2400, 2400, 2400, 2400, 2300, 2300, 2300, 2300, 2300, 2400, 2300, 2400, 2…
-## $ species   <chr> "Mountain Chickadee", "Mountain Chickadee", "Mountain Chickadee", "House Finch", "House Finch", "…
-## $ age       <chr> "AHY", "AHY", "AHY", "SY", "SY", "SY", "SY", "SY", "AHY", "AHY", "AHY", "AHY", "AHY", "SY", "AHY"…
-## $ sex       <chr> "U", "U", "U", "M", "M", "M", "M", "M", "F", "F", "F", "F", "F", "M", "F", "M", "M", "M", "M", "M…
-## $ site_name <chr> "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "…
-## $ lon       <dbl> -120.3622, -120.3622, -120.3622, -120.3635, -120.3635, -120.3635, -120.3635, -120.3635, -120.3622…
-## $ lat       <dbl> 50.66967, 50.66967, 50.66967, 50.66938, 50.66938, 50.66938, 50.66938, 50.66938, 50.66967, 50.6696…
+## $ animal_id <fct> 041868FF93, 041868FF93, 041868FF93, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 041868BED6, 041868BE…
+## $ date      <date> 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03…
+## $ time      <dttm> 2016-03-01 06:57:42, 2016-03-01 06:58:41, 2016-03-01 07:07:21, 2016-03-01 07:32:34, 2016-03-01 07:32:35, 2016-03-01…
+## $ logger_id <fct> 2300, 2300, 2300, 2400, 2400, 2400, 2400, 2400, 2300, 2300, 2300, 2300, 2300, 2400, 2300, 2400, 2400, 2400, 2400, 24…
+## $ species   <chr> "Mountain Chickadee", "Mountain Chickadee", "Mountain Chickadee", "House Finch", "House Finch", "House Finch", "Hous…
+## $ age       <chr> "AHY", "AHY", "AHY", "SY", "SY", "SY", "SY", "SY", "AHY", "AHY", "AHY", "AHY", "AHY", "SY", "AHY", "SY", "SY", "SY",…
+## $ sex       <chr> "U", "U", "U", "M", "M", "M", "M", "M", "F", "F", "F", "F", "F", "M", "F", "M", "M", "M", "M", "M", "F", "M", "M", "…
+## $ site_name <chr> "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kam…
+## $ lon       <dbl> -120.3622, -120.3622, -120.3622, -120.3635, -120.3635, -120.3635, -120.3635, -120.3635, -120.3622, -120.3622, -120.3…
+## $ lat       <dbl> 50.66967, 50.66967, 50.66967, 50.66938, 50.66938, 50.66938, 50.66938, 50.66938, 50.66967, 50.66967, 50.66967, 50.669…
 ```
 
 Although the times in the weather data do not exactly match those in the finch data, we can merge them together through linear [interpolation](https://en.wikipedia.org/wiki/Linear_interpolation). This function uses the `approx` function from the `stats` package under the hood.
@@ -101,12 +101,12 @@ Although the times in the weather data do not exactly match those in the finch d
 Here we specify that we only want the temperature (`temp`) column:
 
 
-```r
+``` r
 finches_temperature <- weather_interp(data = finches, weather = kamloops, cols = "temp")
 ```
 
 ```
-## temp is missing 4 out of 4368 data, interpolation may be less accurate as a result.
+## Error: `data` and `weather` timezones must match
 ```
 
 Ooops! What happened?
@@ -116,25 +116,23 @@ Well the weather data on Kamloops returned by `weathercan` has times set in the
 scored as "UTC" according to R.
 
 
-```r
+``` r
 kamloops$time[1:5]
 ```
 
 ```
-## [1] "2016-01-01 00:00:00 UTC" "2016-01-01 01:00:00 UTC" "2016-01-01 02:00:00 UTC" "2016-01-01 03:00:00 UTC"
-## [5] "2016-01-01 04:00:00 UTC"
+## [1] "2016-01-01 00:00:00 UTC" "2016-01-01 01:00:00 UTC" "2016-01-01 02:00:00 UTC" "2016-01-01 03:00:00 UTC" "2016-01-01 04:00:00 UTC"
 ```
 
 
 The `finches` data, on the other hand, is set in a true timezone:
 
-```r
+``` r
 finches$time[1:5]
 ```
 
 ```
-## [1] "2016-03-01 06:57:42 UTC" "2016-03-01 06:58:41 UTC" "2016-03-01 07:07:21 UTC" "2016-03-01 07:32:34 UTC"
-## [5] "2016-03-01 07:32:35 UTC"
+## [1] "2016-03-01 06:57:42 -08" "2016-03-01 06:58:41 -08" "2016-03-01 07:07:21 -08" "2016-03-01 07:32:34 -08" "2016-03-01 07:32:35 -08"
 ```
 
 This means that it also has daylight savings applied, eep!
@@ -148,14 +146,14 @@ First we'll transform it to non-daylight savings
 with the `with_tz()` function from the `lubridate` package.
 
 
-```r
+``` r
 finches <- mutate(finches, time = lubridate::with_tz(time, "Etc/GMT+8"))
 ```
 
 Now we'll force to UTC with the `force_tz()` function from the `lubridate` package.
 
 
-```r
+``` r
 finches <- mutate(finches, time = lubridate::force_tz(time, "UTC"))
 ```
 
@@ -164,7 +162,7 @@ Now `finches` and `kamloops` data are in the same nominal and actual timezones!
 Let's continue
 
 
-```r
+``` r
 finches_temperature <- weather_interp(data = finches, weather = kamloops, cols = "temp")
 ```
 
@@ -172,52 +170,52 @@ finches_temperature <- weather_interp(data = finches, weather = kamloops, cols =
 ## temp is missing 4 out of 4368 data, interpolation may be less accurate as a result.
 ```
 
-```r
+``` r
 summary(finches_temperature)
 ```
 
 ```
-##       animal_id         date                 time                        logger_id     species         
-##  0620000513:7624   Min.   :2016-03-01   Min.   :2016-02-29 22:57:42.00   1500:6370   Length:16886      
-##  041868D861:2767   1st Qu.:2016-03-05   1st Qu.:2016-03-05 05:54:13.25   2100: 968   Class :character  
-##  0620000514:1844   Median :2016-03-09   Median :2016-03-09 08:54:47.00   2200:2266   Mode  :character  
-##  06200004F8:1386   Mean   :2016-03-08   Mean   :2016-03-08 23:45:58.05   2300:3531                     
-##  041868BED6: 944   3rd Qu.:2016-03-13   3rd Qu.:2016-03-13 00:24:58.75   2400:1477                     
-##  06200003BB: 708   Max.   :2016-03-16   Max.   :2016-03-16 08:39:30.00   2700:2274                     
-##  (Other)   :1613                                                                                       
-##      age                sex             site_name              lon              lat             temp       
-##  Length:16886       Length:16886       Length:16886       Min.   :-120.4   Min.   :50.67   Min.   :-2.578  
-##  Class :character   Class :character   Class :character   1st Qu.:-120.4   1st Qu.:50.67   1st Qu.: 2.410  
-##  Mode  :character   Mode  :character   Mode  :character   Median :-120.4   Median :50.67   Median : 4.820  
-##                                                           Mean   :-120.4   Mean   :50.67   Mean   : 4.731  
-##                                                           3rd Qu.:-120.4   3rd Qu.:50.67   3rd Qu.: 7.260  
-##                                                           Max.   :-120.4   Max.   :50.67   Max.   :11.989  
+##       animal_id         date                 time                        logger_id     species              age           
+##  0620000513:7624   Min.   :2016-03-01   Min.   :2016-03-01 06:57:42.00   1500:6370   Length:16886       Length:16886      
+##  041868D861:2767   1st Qu.:2016-03-05   1st Qu.:2016-03-05 13:54:13.25   2100: 968   Class :character   Class :character  
+##  0620000514:1844   Median :2016-03-09   Median :2016-03-09 16:54:47.00   2200:2266   Mode  :character   Mode  :character  
+##  06200004F8:1386   Mean   :2016-03-08   Mean   :2016-03-09 07:45:58.05   2300:3531                                        
+##  041868BED6: 944   3rd Qu.:2016-03-13   3rd Qu.:2016-03-13 08:24:58.75   2400:1477                                        
+##  06200003BB: 708   Max.   :2016-03-16   Max.   :2016-03-16 16:39:30.00   2700:2274                                        
+##  (Other)   :1613                                                                                                          
+##      sex             site_name              lon              lat             temp       
+##  Length:16886       Length:16886       Min.   :-120.4   Min.   :50.67   Min.   :-1.763  
+##  Class :character   Class :character   1st Qu.:-120.4   1st Qu.:50.67   1st Qu.: 5.212  
+##  Mode  :character   Mode  :character   Median :-120.4   Median :50.67   Median : 8.991  
+##                                        Mean   :-120.4   Mean   :50.67   Mean   : 8.617  
+##                                        3rd Qu.:-120.4   3rd Qu.:50.67   3rd Qu.:11.943  
+##                                        Max.   :-120.4   Max.   :50.67   Max.   :16.353  
 ## 
 ```
 
-```r
+``` r
 glimpse(finches_temperature)
 ```
 
 ```
 ## Rows: 16,886
 ## Columns: 11
-## $ animal_id <fct> 041868FF93, 041868FF93, 041868FF93, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 0…
-## $ date      <date> 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, …
-## $ time      <dttm> 2016-02-29 22:57:42, 2016-02-29 22:58:41, 2016-02-29 23:07:21, 2016-02-29 23:32:34, 2016-02-29 2…
-## $ logger_id <fct> 2300, 2300, 2300, 2400, 2400, 2400, 2400, 2400, 2300, 2300, 2300, 2300, 2300, 2400, 2300, 2400, 2…
-## $ species   <chr> "Mountain Chickadee", "Mountain Chickadee", "Mountain Chickadee", "House Finch", "House Finch", "…
-## $ age       <chr> "AHY", "AHY", "AHY", "SY", "SY", "SY", "SY", "SY", "AHY", "AHY", "AHY", "AHY", "AHY", "SY", "AHY"…
-## $ sex       <chr> "U", "U", "U", "M", "M", "M", "M", "M", "F", "F", "F", "F", "F", "M", "F", "M", "M", "M", "M", "M…
-## $ site_name <chr> "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "…
-## $ lon       <dbl> -120.3622, -120.3622, -120.3622, -120.3635, -120.3635, -120.3635, -120.3635, -120.3635, -120.3622…
-## $ lat       <dbl> 50.66967, 50.66967, 50.66967, 50.66938, 50.66938, 50.66938, 50.66938, 50.66938, 50.66967, 50.6696…
-## $ temp      <dbl> 4.630667, 4.617556, 4.514250, 4.220056, 4.219861, 4.219667, 4.219472, 4.219278, 4.179028, 4.17825…
+## $ animal_id <fct> 041868FF93, 041868FF93, 041868FF93, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 041868BED6, 041868BE…
+## $ date      <date> 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03…
+## $ time      <dttm> 2016-03-01 06:57:42, 2016-03-01 06:58:41, 2016-03-01 07:07:21, 2016-03-01 07:32:34, 2016-03-01 07:32:35, 2016-03-01…
+## $ logger_id <fct> 2300, 2300, 2300, 2400, 2400, 2400, 2400, 2400, 2300, 2300, 2300, 2300, 2300, 2400, 2300, 2400, 2400, 2400, 2400, 24…
+## $ species   <chr> "Mountain Chickadee", "Mountain Chickadee", "Mountain Chickadee", "House Finch", "House Finch", "House Finch", "Hous…
+## $ age       <chr> "AHY", "AHY", "AHY", "SY", "SY", "SY", "SY", "SY", "AHY", "AHY", "AHY", "AHY", "AHY", "SY", "AHY", "SY", "SY", "SY",…
+## $ sex       <chr> "U", "U", "U", "M", "M", "M", "M", "M", "F", "F", "F", "F", "F", "M", "F", "M", "M", "M", "M", "M", "F", "M", "M", "…
+## $ site_name <chr> "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kam…
+## $ lon       <dbl> -120.3622, -120.3622, -120.3622, -120.3635, -120.3635, -120.3635, -120.3635, -120.3635, -120.3622, -120.3622, -120.3…
+## $ lat       <dbl> 50.66967, 50.66967, 50.66967, 50.66938, 50.66938, 50.66938, 50.66938, 50.66938, 50.66967, 50.66967, 50.66967, 50.669…
+## $ temp      <dbl> 2.396167, 2.397806, 2.424500, 2.508556, 2.508611, 2.508667, 2.508722, 2.508778, 2.520278, 2.520500, 2.522667, 2.5228…
 ```
 
 Let's take a look at the interpolate points specifically
 
-```r
+``` r
 compare1 <- select(finches_temperature, time, temp)
 compare1 <- mutate(compare1, type = "interpolated")
 compare2 <- select(kamloops, time, temp)
@@ -230,14 +228,17 @@ ggplot(data = compare, aes(x = time, y = temp, colour = type)) +
 ```
 
 ```
-## Warning: Removed 4000 rows containing missing values (`geom_point()`).
+## Warning: Removed 4000 rows containing missing values or values outside the scale range (`geom_point()`).
 ```
 
-<img src="figures/interp-unnamed-chunk-10-1.png" alt="plot of chunk unnamed-chunk-10" width="80%" style="display: block; margin: auto;" />
+<div class="figure" style="text-align: center">
+<img src="figures/interp-unnamed-chunk-10-1.png" alt="plot of chunk unnamed-chunk-10" width="80%" />
+<p class="caption">plot of chunk unnamed-chunk-10</p>
+</div>
 
 What does this mean for our data?
 
-```r
+``` r
 ggplot(data = finches_temperature, aes(x = temp, fill = animal_id)) +
   theme_bw() +
   theme(legend.position = "none") +
@@ -245,7 +246,10 @@ ggplot(data = finches_temperature, aes(x = temp, fill = animal_id)) +
   labs(x = "Temperature (C)", y = "Activity Count", fill = "Finch ID")
 ```
 
-<img src="figures/interp-unnamed-chunk-11-1.png" alt="plot of chunk unnamed-chunk-11" width="80%" style="display: block; margin: auto;" />
+<div class="figure" style="text-align: center">
+<img src="figures/interp-unnamed-chunk-11-1.png" alt="plot of chunk unnamed-chunk-11" width="80%" />
+<p class="caption">plot of chunk unnamed-chunk-11</p>
+</div>
 
 ## Data gaps
 
@@ -254,7 +258,7 @@ By default, gaps of 2 hours (or 2 days, with a daily scale) will be interpolated
 In this example, note the larger number of `NA`s in `temp` and how it corresponds to the missing variables in the weather dataset:
 
 
-```r
+``` r
 finches_temperature <- weather_interp(data = finches, weather = kamloops,
                                       cols = "temp", na_gap = 1)
 ```
@@ -263,53 +267,53 @@ finches_temperature <- weather_interp(data = finches, weather = kamloops,
 ## temp is missing 4 out of 4368 data, interpolation may be less accurate as a result.
 ```
 
-```r
+``` r
 summary(finches_temperature)
 ```
 
 ```
-##       animal_id         date                 time                        logger_id     species         
-##  0620000513:7624   Min.   :2016-03-01   Min.   :2016-02-29 22:57:42.00   1500:6370   Length:16886      
-##  041868D861:2767   1st Qu.:2016-03-05   1st Qu.:2016-03-05 05:54:13.25   2100: 968   Class :character  
-##  0620000514:1844   Median :2016-03-09   Median :2016-03-09 08:54:47.00   2200:2266   Mode  :character  
-##  06200004F8:1386   Mean   :2016-03-08   Mean   :2016-03-08 23:45:58.05   2300:3531                     
-##  041868BED6: 944   3rd Qu.:2016-03-13   3rd Qu.:2016-03-13 00:24:58.75   2400:1477                     
-##  06200003BB: 708   Max.   :2016-03-16   Max.   :2016-03-16 08:39:30.00   2700:2274                     
-##  (Other)   :1613                                                                                       
-##      age                sex             site_name              lon              lat             temp       
-##  Length:16886       Length:16886       Length:16886       Min.   :-120.4   Min.   :50.67   Min.   :-2.578  
-##  Class :character   Class :character   Class :character   1st Qu.:-120.4   1st Qu.:50.67   1st Qu.: 2.397  
-##  Mode  :character   Mode  :character   Mode  :character   Median :-120.4   Median :50.67   Median : 4.819  
-##                                                           Mean   :-120.4   Mean   :50.67   Mean   : 4.729  
-##                                                           3rd Qu.:-120.4   3rd Qu.:50.67   3rd Qu.: 7.273  
-##                                                           Max.   :-120.4   Max.   :50.67   Max.   :11.989  
-##                                                                                            NA's   :246
+##       animal_id         date                 time                        logger_id     species              age           
+##  0620000513:7624   Min.   :2016-03-01   Min.   :2016-03-01 06:57:42.00   1500:6370   Length:16886       Length:16886      
+##  041868D861:2767   1st Qu.:2016-03-05   1st Qu.:2016-03-05 13:54:13.25   2100: 968   Class :character   Class :character  
+##  0620000514:1844   Median :2016-03-09   Median :2016-03-09 16:54:47.00   2200:2266   Mode  :character   Mode  :character  
+##  06200004F8:1386   Mean   :2016-03-08   Mean   :2016-03-09 07:45:58.05   2300:3531                                        
+##  041868BED6: 944   3rd Qu.:2016-03-13   3rd Qu.:2016-03-13 08:24:58.75   2400:1477                                        
+##  06200003BB: 708   Max.   :2016-03-16   Max.   :2016-03-16 16:39:30.00   2700:2274                                        
+##  (Other)   :1613                                                                                                          
+##      sex             site_name              lon              lat             temp       
+##  Length:16886       Length:16886       Min.   :-120.4   Min.   :50.67   Min.   :-1.763  
+##  Class :character   Class :character   1st Qu.:-120.4   1st Qu.:50.67   1st Qu.: 5.156  
+##  Mode  :character   Mode  :character   Median :-120.4   Median :50.67   Median : 8.998  
+##                                        Mean   :-120.4   Mean   :50.67   Mean   : 8.610  
+##                                        3rd Qu.:-120.4   3rd Qu.:50.67   3rd Qu.:11.951  
+##                                        Max.   :-120.4   Max.   :50.67   Max.   :16.353  
+##                                                                         NA's   :195
 ```
 
-```r
+``` r
 finches_temperature %>%
   select(date, time, temp) %>%
   filter(is.na(temp))
 ```
 
 ```
-## # A tibble: 246 × 3
+## # A tibble: 195 × 3
 ##    date       time                 temp
 ##    <date>     <dttm>              <dbl>
-##  1 2016-03-11 2016-03-11 00:08:01    NA
-##  2 2016-03-11 2016-03-11 00:08:03    NA
-##  3 2016-03-11 2016-03-11 00:08:04    NA
-##  4 2016-03-11 2016-03-11 00:08:06    NA
-##  5 2016-03-11 2016-03-11 00:22:42    NA
-##  6 2016-03-11 2016-03-11 00:22:43    NA
-##  7 2016-03-11 2016-03-11 00:22:45    NA
-##  8 2016-03-11 2016-03-11 00:22:53    NA
-##  9 2016-03-11 2016-03-11 00:22:54    NA
-## 10 2016-03-11 2016-03-11 00:23:56    NA
-## # ℹ 236 more rows
-```
-
-```r
+##  1 2016-03-08 2016-03-08 12:10:10    NA
+##  2 2016-03-08 2016-03-08 12:10:11    NA
+##  3 2016-03-08 2016-03-08 12:10:13    NA
+##  4 2016-03-08 2016-03-08 12:10:14    NA
+##  5 2016-03-08 2016-03-08 12:12:26    NA
+##  6 2016-03-08 2016-03-08 12:12:28    NA
+##  7 2016-03-08 2016-03-08 12:12:29    NA
+##  8 2016-03-08 2016-03-08 12:12:30    NA
+##  9 2016-03-08 2016-03-08 12:12:32    NA
+## 10 2016-03-08 2016-03-08 12:12:33    NA
+## # ℹ 185 more rows
+```
+
+``` r
 kamloops %>%
   select(time, temp) %>%
   filter(is.na(temp))
@@ -330,7 +334,7 @@ kamloops %>%
 We could also add in more than one column at a time:
 
 
-```r
+``` r
 finches_weather <- weather_interp(data = finches, weather = kamloops,
                                   cols = c("temp", "wind_spd"))
 ```
@@ -343,59 +347,51 @@ finches_weather <- weather_interp(data = finches, weather = kamloops,
 ## wind_spd is missing 4 out of 4368 data, interpolation may be less accurate as a result.
 ```
 
-```r
+``` r
 summary(finches_weather)
 ```
 
 ```
-##       animal_id         date                 time                        logger_id     species         
-##  0620000513:7624   Min.   :2016-03-01   Min.   :2016-02-29 22:57:42.00   1500:6370   Length:16886      
-##  041868D861:2767   1st Qu.:2016-03-05   1st Qu.:2016-03-05 05:54:13.25   2100: 968   Class :character  
-##  0620000514:1844   Median :2016-03-09   Median :2016-03-09 08:54:47.00   2200:2266   Mode  :character  
-##  06200004F8:1386   Mean   :2016-03-08   Mean   :2016-03-08 23:45:58.05   2300:3531                     
-##  041868BED6: 944   3rd Qu.:2016-03-13   3rd Qu.:2016-03-13 00:24:58.75   2400:1477                     
-##  06200003BB: 708   Max.   :2016-03-16   Max.   :2016-03-16 08:39:30.00   2700:2274                     
-##  (Other)   :1613                                                                                       
-##      age                sex             site_name              lon              lat             temp       
-##  Length:16886       Length:16886       Length:16886       Min.   :-120.4   Min.   :50.67   Min.   :-2.578  
-##  Class :character   Class :character   Class :character   1st Qu.:-120.4   1st Qu.:50.67   1st Qu.: 2.410  
-##  Mode  :character   Mode  :character   Mode  :character   Median :-120.4   Median :50.67   Median : 4.820  
-##                                                           Mean   :-120.4   Mean   :50.67   Mean   : 4.731  
-##                                                           3rd Qu.:-120.4   3rd Qu.:50.67   3rd Qu.: 7.260  
-##                                                           Max.   :-120.4   Max.   :50.67   Max.   :11.989  
-##                                                                                                            
-##     wind_spd     
-##  Min.   : 0.000  
-##  1st Qu.: 6.519  
-##  Median :14.096  
-##  Mean   :13.062  
-##  3rd Qu.:17.913  
-##  Max.   :41.405  
+##       animal_id         date                 time                        logger_id     species              age           
+##  0620000513:7624   Min.   :2016-03-01   Min.   :2016-03-01 06:57:42.00   1500:6370   Length:16886       Length:16886      
+##  041868D861:2767   1st Qu.:2016-03-05   1st Qu.:2016-03-05 13:54:13.25   2100: 968   Class :character   Class :character  
+##  0620000514:1844   Median :2016-03-09   Median :2016-03-09 16:54:47.00   2200:2266   Mode  :character   Mode  :character  
+##  06200004F8:1386   Mean   :2016-03-08   Mean   :2016-03-09 07:45:58.05   2300:3531                                        
+##  041868BED6: 944   3rd Qu.:2016-03-13   3rd Qu.:2016-03-13 08:24:58.75   2400:1477                                        
+##  06200003BB: 708   Max.   :2016-03-16   Max.   :2016-03-16 16:39:30.00   2700:2274                                        
+##  (Other)   :1613                                                                                                          
+##      sex             site_name              lon              lat             temp           wind_spd    
+##  Length:16886       Length:16886       Min.   :-120.4   Min.   :50.67   Min.   :-1.763   Min.   : 0.00  
+##  Class :character   Class :character   1st Qu.:-120.4   1st Qu.:50.67   1st Qu.: 5.212   1st Qu.:10.35  
+##  Mode  :character   Mode  :character   Median :-120.4   Median :50.67   Median : 8.991   Median :17.72  
+##                                        Mean   :-120.4   Mean   :50.67   Mean   : 8.617   Mean   :17.15  
+##                                        3rd Qu.:-120.4   3rd Qu.:50.67   3rd Qu.:11.943   3rd Qu.:21.95  
+##                                        Max.   :-120.4   Max.   :50.67   Max.   :16.353   Max.   :40.93  
 ## 
 ```
 
-```r
+``` r
 glimpse(finches_weather)
 ```
 
 ```
 ## Rows: 16,886
 ## Columns: 12
-## $ animal_id <fct> 041868FF93, 041868FF93, 041868FF93, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 0…
-## $ date      <date> 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, …
-## $ time      <dttm> 2016-02-29 22:57:42, 2016-02-29 22:58:41, 2016-02-29 23:07:21, 2016-02-29 23:32:34, 2016-02-29 2…
-## $ logger_id <fct> 2300, 2300, 2300, 2400, 2400, 2400, 2400, 2400, 2300, 2300, 2300, 2300, 2300, 2400, 2300, 2400, 2…
-## $ species   <chr> "Mountain Chickadee", "Mountain Chickadee", "Mountain Chickadee", "House Finch", "House Finch", "…
-## $ age       <chr> "AHY", "AHY", "AHY", "SY", "SY", "SY", "SY", "SY", "AHY", "AHY", "AHY", "AHY", "AHY", "SY", "AHY"…
-## $ sex       <chr> "U", "U", "U", "M", "M", "M", "M", "M", "F", "F", "F", "F", "F", "M", "F", "M", "M", "M", "M", "M…
-## $ site_name <chr> "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "…
-## $ lon       <dbl> -120.3622, -120.3622, -120.3622, -120.3635, -120.3635, -120.3635, -120.3635, -120.3635, -120.3622…
-## $ lat       <dbl> 50.66967, 50.66967, 50.66967, 50.66938, 50.66938, 50.66938, 50.66938, 50.66938, 50.66967, 50.6696…
-## $ temp      <dbl> 4.630667, 4.617556, 4.514250, 4.220056, 4.219861, 4.219667, 4.219472, 4.219278, 4.179028, 4.17825…
-## $ wind_spd  <dbl> 18.88500, 18.93417, 19.49000, 21.17111, 21.17222, 21.17333, 21.17444, 21.17556, 21.40556, 21.4100…
-```
-
-```r
+## $ animal_id <fct> 041868FF93, 041868FF93, 041868FF93, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 06200003BB, 041868BED6, 041868BE…
+## $ date      <date> 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03-01, 2016-03…
+## $ time      <dttm> 2016-03-01 06:57:42, 2016-03-01 06:58:41, 2016-03-01 07:07:21, 2016-03-01 07:32:34, 2016-03-01 07:32:35, 2016-03-01…
+## $ logger_id <fct> 2300, 2300, 2300, 2400, 2400, 2400, 2400, 2400, 2300, 2300, 2300, 2300, 2300, 2400, 2300, 2400, 2400, 2400, 2400, 24…
+## $ species   <chr> "Mountain Chickadee", "Mountain Chickadee", "Mountain Chickadee", "House Finch", "House Finch", "House Finch", "Hous…
+## $ age       <chr> "AHY", "AHY", "AHY", "SY", "SY", "SY", "SY", "SY", "AHY", "AHY", "AHY", "AHY", "AHY", "SY", "AHY", "SY", "SY", "SY",…
+## $ sex       <chr> "U", "U", "U", "M", "M", "M", "M", "M", "F", "F", "F", "F", "F", "M", "F", "M", "M", "M", "M", "M", "F", "M", "M", "…
+## $ site_name <chr> "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kamloops, BC", "Kam…
+## $ lon       <dbl> -120.3622, -120.3622, -120.3622, -120.3635, -120.3635, -120.3635, -120.3635, -120.3635, -120.3622, -120.3622, -120.3…
+## $ lat       <dbl> 50.66967, 50.66967, 50.66967, 50.66938, 50.66938, 50.66938, 50.66938, 50.66938, 50.66967, 50.66967, 50.66967, 50.669…
+## $ temp      <dbl> 2.396167, 2.397806, 2.424500, 2.508556, 2.508611, 2.508667, 2.508722, 2.508778, 2.520278, 2.520500, 2.522667, 2.5228…
+## $ wind_spd  <dbl> 19.00000, 19.00000, 18.51000, 16.82889, 16.82778, 16.82667, 16.82556, 16.82444, 16.59444, 16.59000, 16.54667, 16.542…
+```
+
+``` r
 finches_weather <- finches_weather %>%
   group_by(date) %>%
   summarize(n = length(time),
@@ -421,7 +417,10 @@ ggplot(data = finches_weather, aes(x = date, y = n)) +
 ## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.
 ```
 
-<img src="figures/interp-unnamed-chunk-13-1.png" alt="plot of chunk unnamed-chunk-13" width="100%" style="display: block; margin: auto;" />
+<div class="figure" style="text-align: center">
+<img src="figures/interp-unnamed-chunk-13-1.png" alt="plot of chunk unnamed-chunk-13" width="100%" />
+<p class="caption">plot of chunk unnamed-chunk-13</p>
+</div>
 
 
 
diff --git a/vignettes/normals.Rmd b/vignettes/normals.Rmd
index 30c127c..9ca394e 100644
--- a/vignettes/normals.Rmd
+++ b/vignettes/normals.Rmd
@@ -1,7 +1,7 @@
 ---
 title: "Climate Normals"
 author: "Steffi LaZerte"
-date: "2023-09-20"
+date: "2024-11-12"
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Climate Normals}
@@ -18,21 +18,17 @@ Climate Normals and Averages describe the average climate conditions specific to
 First we'll load the `weathercan` package for downloading the data and the `tidyr` package for unnesting the data (see below).
 
 
-```r
+``` r
 library(weathercan)
 library(tidyr)
 library(dplyr)
 library(naniar) # For exploring missing values
 ```
 
-```
-## Error in library(naniar): there is no package called 'naniar'
-```
-
 To download climate normals, we'll first find the stations we're interested in using the `stations_search()` function. We'll use the `normals_years = "current"` argument to filter to only stations with available climate normals for the `1981-2010` year range.
 
 
-```r
+``` r
 stations_search("Winnipeg", normals_years = "current")
 ```
 
@@ -46,7 +42,7 @@ stations_search("Winnipeg", normals_years = "current")
 Let's look at the climate normals from this station in Winnipeg, MB. Note that unlike the `weather_dl()` function, the `normals_dl()` function requires `climate_id` not `station_id`. By default the normals are downloaded for the years "1981-2010" (currently 1981-2010 and 1971-2000 are the only year ranges available)
 
 
-```r
+``` r
 n <- normals_dl(climate_ids = "5023222")
 n
 ```
@@ -60,12 +56,12 @@ n
 
 Because there are two different types of climate normals (weather measurements and first/last frost dates), the data are nested as two different datasets. We can see that the Airport (Richardson Int'l) has 197 average weather measurements/codes as well as first/last frost dates.
 
-We can also see that this station has data quality sufficient to meet the WMO standards for temperature and precipitation (i.e. both these measurements have code >= A). See the [ECCC calculations document](https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) for more details.
+We can also see that this station has data quality sufficient to meet the WMO standards for temperature and precipitation (i.e. both these measurements have code >= A). See the [ECCC calculations document](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) for more details.
 
 To extract either data set we can use the `unnest()` function from the `tidyr` package.
 
 
-```r
+``` r
 normals <- unnest(n, normals)
 frost <- unnest(n, frost)
 ```
@@ -73,7 +69,7 @@ frost <- unnest(n, frost)
 Note that this extracts the measurements for all three stations (in the case of the `normals` data frame), but not all measurements are available for each station
 
 
-```r
+``` r
 normals
 ```
 
@@ -98,25 +94,26 @@ normals
 
 To visualize missing data we can use the `gg_miss_var()` function from the `naniar` package.
 
-```r
+``` r
 select(normals, -contains("_code")) %>%  # Remove '_code' columns
   gg_miss_var(facet = station_name)
 ```
 
 
-```r
+``` r
 suppressWarnings({select(normals, -contains("_code")) %>%  # Remove '_code' columns
     gg_miss_var(facet = station_name)})
 ```
 
-```
-## Error in gg_miss_var(., facet = station_name): could not find function "gg_miss_var"
-```
+<div class="figure" style="text-align: center">
+<img src="figures/normals-unnamed-chunk-7-1.png" alt="plot of chunk unnamed-chunk-7" width="100%" />
+<p class="caption">plot of chunk unnamed-chunk-7</p>
+</div>
 
 Let's take a look at the frost data.
 
 
-```r
+``` r
 if("normals" %in% names(frost)) frost <- select(frost, -normals) # tidyr v1
 glimpse(frost)
 ```
@@ -134,9 +131,9 @@ glimpse(frost)
 ## $ date_last_spring_frost                <dbl> 143, 143, 143, 143, 143, 143, 143
 ## $ length_frost_free                     <dbl> 121, 121, 121, 121, 121, 121, 121
 ## $ prob                                  <chr> "10%", "25%", "33%", "50%", "66%", "75%", …
+## $ prob_last_spring_temp_below_0_on_date <dbl> 158, 152, 148, 144, 140, 137, 129
 ## $ prob_first_fall_temp_below_0_on_date  <dbl> 255, 259, 261, 265, 268, 270, 276
 ## $ prob_length_frost_free                <dbl> 96, 109, 114, 119, 126, 129, 141
-## $ prob_last_spring_temp_below_0_on_date <dbl> 158, 152, 148, 144, 140, 137, 129
 ```
 
 ### Finding stations with specific measurements
@@ -144,7 +141,7 @@ glimpse(frost)
 The include data frame, `normals_measurements` contains a list of stations with their corresponding measurements. Be aware that this data might be out of date!
 
 
-```r
+``` r
 normals_measurements
 ```
 
@@ -169,7 +166,7 @@ For example, if you wanted all `climate_id`s for stations that have data on
 soil temperature for 1981-2010 normals:
 
 
-```r
+``` r
 normals_measurements %>%
   filter(stringr::str_detect(measurement, "soil"),
          normals == "1981-2010") %>%
@@ -187,7 +184,7 @@ normals_measurements %>%
 
 The measurements contained in the climate normals are very specific. To better understand how they are calculated please explore the following resources:
 
-- ECCC Climate Normals Calculations ([1981-2010](https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) | [1971-2000](https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1971_2000_Calculation_Information.pdf))
+- ECCC Climate Normals Calculations ([1991-2020](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1991_2020_Calculation_Information.pdf) | ([1981-2010](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) | [1971-2000](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1971_2000_Calculation_Information.pdf))
     - [`weathercan` Climate Normals Codes](flags.html)
 - [ECCC Climate Normals Technical Documentation](https://www.canada.ca/en/environment-climate-change/services/climate-change/canadian-centre-climate-services/display-download/technical-documentation-climate-normals.html)
     - [`weathercan` Climate Normals Glossary](glossary_normals.html)
diff --git a/vignettes/normals.Rmd.orig b/vignettes/normals.Rmd.orig
index 5b63ec5..06a5f9a 100644
--- a/vignettes/normals.Rmd.orig
+++ b/vignettes/normals.Rmd.orig
@@ -44,7 +44,7 @@ n
 
 Because there are two different types of climate normals (weather measurements and first/last frost dates), the data are nested as two different datasets. We can see that the Airport (Richardson Int'l) has `r ncol(n$normals[[1]])` average weather measurements/codes as well as first/last frost dates.
 
-We can also see that this station has data quality sufficient to meet the WMO standards for temperature and precipitation (i.e. both these measurements have code >= A). See the [ECCC calculations document](https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) for more details.
+We can also see that this station has data quality sufficient to meet the WMO standards for temperature and precipitation (i.e. both these measurements have code >= A). See the [ECCC calculations document](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) for more details.
 
 To extract either data set we can use the `unnest()` function from the `tidyr` package.
 
@@ -100,7 +100,7 @@ normals_measurements %>%
 
 The measurements contained in the climate normals are very specific. To better understand how they are calculated please explore the following resources:
 
-- ECCC Climate Normals Calculations ([1981-2010](https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) | [1971-2000](https://climate.weather.gc.ca/doc/Canadian_Climate_Normals_1971_2000_Calculation_Information.pdf))
+- ECCC Climate Normals Calculations ([1991-2020](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1991_2020_Calculation_Information.pdf) | ([1981-2010](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1981_2010_Calculation_Information.pdf) | [1971-2000](https://collaboration.cmc.ec.gc.ca/cmc/climate/Normals/Canadian_Climate_Normals_1971_2000_Calculation_Information.pdf))
     - [`weathercan` Climate Normals Codes](flags.html)
 - [ECCC Climate Normals Technical Documentation](https://www.canada.ca/en/environment-climate-change/services/climate-change/canadian-centre-climate-services/display-download/technical-documentation-climate-normals.html)
     - [`weathercan` Climate Normals Glossary](glossary_normals.html)
diff --git a/vignettes/reproducibility.Rmd b/vignettes/reproducibility.Rmd
index ff2b8c2..344fcc2 100644
--- a/vignettes/reproducibility.Rmd
+++ b/vignettes/reproducibility.Rmd
@@ -1,7 +1,7 @@
 ---
 title: "Reproducibility"
 author: "Steffi LaZerte"
-date: "2023-09-20"
+date: "2024-11-12"
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Reproducibility}
@@ -26,7 +26,7 @@ compiling reports) with the following information:
 For example:
 
 
-```r
+``` r
 # Work
 library(weathercan)
 s <- stations_search("Winnipeg", normals_years = "current")
@@ -45,15 +45,14 @@ devtools::session_info() # Install devtools if you don't have it
 ## [1] "2023-01-24 23:30:00 UTC"
 ## 
 ## $weathercan_modified
-## [1] "2023-09-20"
+## [1] "2024-11-08"
 ```
 
 ```
 ## To cite 'weathercan' in publications, please use:
 ## 
-##   LaZerte, Stefanie E and Sam Albers (2018). weathercan: Download and format weather data from
-##   Environment and Climate Change Canada. The Journal of Open Source Software 3(22):571.
-##   doi:10.21105/joss.00571.
+##   LaZerte, Stefanie E and Sam Albers (2018). weathercan: Download and format weather data from Environment and Climate
+##   Change Canada. The Journal of Open Source Software 3(22):571. doi:10.21105/joss.00571.
 ## 
 ## A BibTeX entry for LaTeX users is
 ## 
@@ -70,159 +69,103 @@ devtools::session_info() # Install devtools if you don't have it
 ```
 
 ```
-## ─ Session info ────────────────────────────────────────────────────────────────────────────────────────────────────
+## ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 ##  setting  value
-##  version  R version 4.3.1 (2023-06-16)
-##  os       Ubuntu 22.04.3 LTS
+##  version  R version 4.4.0 (2024-04-24)
+##  os       Ubuntu 22.04.4 LTS
 ##  system   x86_64, linux-gnu
 ##  ui       RStudio
 ##  language en_CA:en
 ##  collate  en_CA.UTF-8
 ##  ctype    en_CA.UTF-8
 ##  tz       America/Winnipeg
-##  date     2023-09-20
-##  rstudio  2023.06.0+421 Mountain Hydrangea (desktop)
-##  pandoc   3.1.1 @ /usr/lib/rstudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
+##  date     2024-11-12
+##  rstudio  2024.09.0+375 Cranberry Hibiscus (desktop)
+##  pandoc   3.2 @ /usr/lib/rstudio/resources/app/bin/quarto/bin/tools/x86_64/ (via rmarkdown)
 ## 
-## ─ Packages ────────────────────────────────────────────────────────────────────────────────────────────────────────
-##  ! package      * version    date (UTC) lib source
-##    assertthat     0.2.1      2019-03-21 [1] CRAN (R 4.3.0)
-##    base64enc      0.1-3      2015-07-28 [1] CRAN (R 4.3.0)
-##    bit            4.0.5      2022-11-15 [1] CRAN (R 4.3.0)
-##    bit64          4.0.5      2020-08-30 [1] CRAN (R 4.3.0)
-##    brio           1.1.3      2021-11-30 [1] CRAN (R 4.3.0)
-##    bslib          0.5.0      2023-06-09 [1] CRAN (R 4.3.0)
-##    cachem         1.0.8      2023-05-01 [1] CRAN (R 4.3.0)
-##    callr          3.7.3      2022-11-02 [1] CRAN (R 4.3.0)
-##    class          7.3-22     2023-05-03 [4] CRAN (R 4.3.1)
-##    classInt       0.4-9      2023-02-28 [1] CRAN (R 4.3.0)
-##    cli            3.6.1      2023-03-23 [1] CRAN (R 4.3.0)
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-##    covr           3.6.2      2023-03-25 [1] CRAN (R 4.3.0)
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-##    lubridate    * 1.9.2.9000 2023-09-20 [1] https://ropensci.r-universe.dev (R 4.3.1)
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-##    pkgconfig      2.0.3      2019-09-22 [1] CRAN (R 4.3.0)
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-##  P weathercan   * 0.7.0.9000 2023-09-20 [?] load_all()
-##    webmockr       0.9.0      2023-02-28 [1] CRAN (R 4.3.1)
-##    whisker        0.4.1      2022-12-05 [1] CRAN (R 4.3.0)
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-##    withr          2.5.0      2022-03-03 [1] CRAN (R 4.3.0)
-##    wk             0.7.3.9000 2023-07-26 [1] Github (paleolimbot/wk@2e38352)
-##    xfun           0.39       2023-04-20 [1] CRAN (R 4.3.0)
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-##    xtable         1.8-4      2019-04-21 [1] CRAN (R 4.3.0)
-##    yaml           2.3.7      2023-01-23 [1] CRAN (R 4.3.0)
+## ─ Packages ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
+##  package     * version date (UTC) lib source
+##  archive       1.1.8   2024-04-28 [1] CRAN (R 4.4.0)
+##  bit           4.5.0   2024-09-20 [1] CRAN (R 4.4.0)
+##  bit64         4.5.2   2024-09-22 [1] CRAN (R 4.4.0)
+##  cachem        1.1.0   2024-05-16 [1] CRAN (R 4.4.0)
+##  cli           3.6.3   2024-06-21 [1] CRAN (R 4.4.0)
+##  colorspace    2.1-0   2023-01-23 [1] CRAN (R 4.4.0)
+##  commonmark    1.9.1   2024-01-30 [1] CRAN (R 4.4.0)
+##  crayon        1.5.3   2024-06-20 [1] CRAN (R 4.4.0)
+##  curl          5.2.3   2024-09-20 [1] CRAN (R 4.4.0)
+##  devtools      2.4.5   2022-10-11 [1] CRAN (R 4.4.0)
+##  digest        0.6.35  2024-03-11 [1] CRAN (R 4.4.0)
+##  dplyr       * 1.1.4   2023-11-17 [1] CRAN (R 4.4.0)
+##  ellipsis      0.3.2   2021-04-29 [1] CRAN (R 4.4.0)
+##  evaluate      0.23    2023-11-01 [1] CRAN (R 4.4.0)
+##  fansi         1.0.6   2023-12-08 [1] CRAN (R 4.4.0)
+##  farver        2.1.2   2024-05-13 [1] CRAN (R 4.4.0)
+##  fastmap       1.2.0   2024-05-15 [1] CRAN (R 4.4.0)
+##  fs            1.6.4   2024-04-25 [1] CRAN (R 4.4.0)
+##  generics      0.1.3   2022-07-05 [1] CRAN (R 4.4.0)
+##  ggplot2     * 3.5.1   2024-04-23 [1] CRAN (R 4.4.0)
+##  glue        * 1.8.0   2024-09-30 [1] CRAN (R 4.4.0)
+##  gtable        0.3.5   2024-04-22 [1] CRAN (R 4.4.0)
+##  highr         0.11    2024-05-26 [1] CRAN (R 4.4.0)
+##  hms           1.1.3   2023-03-21 [1] CRAN (R 4.4.0)
+##  htmltools     0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)
+##  htmlwidgets   1.6.4   2023-12-06 [1] CRAN (R 4.4.0)
+##  httpuv        1.6.15  2024-03-26 [1] CRAN (R 4.4.0)
+##  httr          1.4.7   2023-08-15 [1] CRAN (R 4.4.0)
+##  hunspell      3.0.3   2023-10-06 [1] CRAN (R 4.4.0)
+##  knitr       * 1.47    2024-05-29 [1] CRAN (R 4.4.0)
+##  labeling      0.4.3   2023-08-29 [1] CRAN (R 4.4.0)
+##  later         1.3.2   2023-12-06 [1] CRAN (R 4.4.0)
+##  lifecycle     1.0.4   2023-11-07 [1] CRAN (R 4.4.0)
+##  lubridate   * 1.9.3   2023-09-27 [1] CRAN (R 4.4.0)
+##  magrittr      2.0.3   2022-03-30 [1] CRAN (R 4.4.0)
+##  memoise       2.0.1   2021-11-26 [1] CRAN (R 4.4.0)
+##  mime          0.12    2021-09-28 [1] CRAN (R 4.4.0)
+##  miniUI        0.1.1.1 2018-05-18 [1] CRAN (R 4.4.0)
+##  munsell       0.5.1   2024-04-01 [1] CRAN (R 4.4.0)
+##  pillar        1.9.0   2023-03-22 [1] CRAN (R 4.4.0)
+##  pkgbuild      1.4.4   2024-03-17 [1] CRAN (R 4.4.0)
+##  pkgconfig     2.0.3   2019-09-22 [1] CRAN (R 4.4.0)
+##  pkgload       1.3.4   2024-01-16 [1] CRAN (R 4.4.0)
+##  profvis       0.3.8   2023-05-02 [1] CRAN (R 4.4.0)
+##  promises      1.3.0   2024-04-05 [1] CRAN (R 4.4.0)
+##  purrr         1.0.2   2023-08-10 [1] CRAN (R 4.4.0)
+##  R6            2.5.1   2021-08-19 [1] CRAN (R 4.4.0)
+##  rappdirs      0.3.3   2021-01-31 [1] CRAN (R 4.4.0)
+##  Rcpp          1.0.12  2024-01-09 [1] CRAN (R 4.4.0)
+##  readr       * 2.1.5   2024-01-10 [1] CRAN (R 4.4.0)
+##  remotes       2.5.0   2024-03-17 [1] CRAN (R 4.4.0)
+##  rlang         1.1.4   2024-06-04 [1] CRAN (R 4.4.0)
+##  rmarkdown     2.27    2024-05-17 [1] CRAN (R 4.4.0)
+##  rstudioapi    0.17.0  2024-10-16 [1] CRAN (R 4.4.0)
+##  scales        1.3.0   2023-11-28 [1] CRAN (R 4.4.0)
+##  sessioninfo   1.2.2   2021-12-06 [1] CRAN (R 4.4.0)
+##  shiny         1.8.1.1 2024-04-02 [1] CRAN (R 4.4.0)
+##  spelling      2.3.0   2024-03-05 [1] CRAN (R 4.4.0)
+##  stringi       1.8.4   2024-05-06 [1] CRAN (R 4.4.0)
+##  stringr     * 1.5.1   2023-11-14 [1] CRAN (R 4.4.0)
+##  tibble        3.2.1   2023-03-20 [1] CRAN (R 4.4.0)
+##  tidyr       * 1.3.1   2024-01-24 [1] CRAN (R 4.4.0)
+##  tidyselect    1.2.1   2024-03-11 [1] CRAN (R 4.4.0)
+##  timechange    0.3.0   2024-01-18 [1] CRAN (R 4.4.0)
+##  tzdb          0.4.0   2023-05-12 [1] CRAN (R 4.4.0)
+##  urlchecker    1.0.1   2021-11-30 [1] CRAN (R 4.4.0)
+##  usethis       2.2.3   2024-02-19 [1] CRAN (R 4.4.0)
+##  utf8          1.2.4   2023-10-22 [1] CRAN (R 4.4.0)
+##  vctrs         0.6.5   2023-12-01 [1] CRAN (R 4.4.0)
+##  vroom         1.6.5   2023-12-05 [1] CRAN (R 4.4.0)
+##  weathercan  * 0.7.1   2024-07-09 [1] Github (ropensci/weathercan@f90bb10)
+##  withr         3.0.1   2024-07-31 [1] CRAN (R 4.4.0)
+##  xfun          0.44    2024-05-15 [1] CRAN (R 4.4.0)
+##  xml2          1.3.6   2023-12-04 [1] CRAN (R 4.4.0)
+##  xtable        1.8-4   2019-04-21 [1] CRAN (R 4.4.0)
+##  yaml          2.3.8   2023-12-11 [1] CRAN (R 4.4.0)
 ## 
-##  [1] /home/steffi/R/x86_64-pc-linux-gnu-library/4.3
+##  [1] /home/steffi/R/x86_64-pc-linux-gnu-library/4.4
 ##  [2] /usr/local/lib/R/site-library
 ##  [3] /usr/lib/R/site-library
 ##  [4] /usr/lib/R/library
 ## 
-##  P ── Loaded and on-disk path mismatch.
-## 
-## ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────
+## ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 ```
diff --git a/vignettes/weathercan.Rmd b/vignettes/weathercan.Rmd
index 7710dfb..ded2a82 100644
--- a/vignettes/weathercan.Rmd
+++ b/vignettes/weathercan.Rmd
@@ -1,7 +1,7 @@
 ---
 title: "Getting Started"
 author: "Steffi LaZerte"
-date: "2023-09-20"
+date: "2024-11-12"
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Getting Started}
@@ -13,7 +13,7 @@ vignette: >
 
 
 
-```r
+``` r
 library(dplyr)
 library(ggplot2)
 library(weathercan)
@@ -25,7 +25,7 @@ library(weathercan)
 `weathercan` includes the function `stations()` which returns a list of stations and their details (including `station_id`).
 
 
-```r
+``` r
 head(stations())
 ```
 
@@ -41,7 +41,7 @@ head(stations())
 ## 6 AB    EDMONTON CORONATION       1796 301BK03        NA <NA>   53.6 -114.  671. Etc/GMT+7 month     1978  1979 FALSE   FALSE             FALSE
 ```
 
-```r
+``` r
 glimpse(stations())
 ```
 
@@ -69,7 +69,7 @@ glimpse(stations())
 You can look through this data frame directly, or you can use the `stations_search` function:
 
 
-```r
+``` r
 stations_search("Kamloops")
 ```
 
@@ -93,7 +93,7 @@ stations_search("Kamloops")
 You can narrow down your search by specifying time intervals (options are "hour", "day", or "month"):
 
 
-```r
+``` r
 stations_search("Kamloops", interval = "hour")
 ```
 
@@ -109,7 +109,7 @@ stations_search("Kamloops", interval = "hour")
 You can specify more than one interval:
 
 
-```r
+``` r
 stations_search("Kamloops", interval = c("hour", "month"))
 ```
 
@@ -134,7 +134,7 @@ stations_search("Kamloops", interval = c("hour", "month"))
 You can also search by proximity. These results include a new column `distance` specifying the distance in km from the coordinates:
 
 
-```r
+``` r
 stations_search(coords = c(50.667492, -120.329049), dist = 20, interval = "hour")
 ```
 
@@ -151,7 +151,7 @@ We can also perform more complex searches using `filter()` function from the `dp
 direction on the data returned by stations():
 
 
-```r
+``` r
 BCstations <- stations() %>%
   filter(prov %in% c("BC")) %>%
   filter(interval == "hour") %>%
@@ -171,7 +171,7 @@ BCstations
 ## 3 BC    WARFIELD RCS                     31067 1148705     71401 XWF    49.1 -118.  567. Etc/G… hour      2001  2023 FALSE   FALSE             FALSE
 ```
 
-```r
+``` r
 ## weather_dl() accepts numbers so we can create a vector to input into weather:
 stn_vector <- BCstations$station_id
 stn_vector
@@ -184,13 +184,13 @@ stn_vector
 You can update this list of stations with
 
 
-```r
+``` r
 stations_dl()
 ```
 
 And check when it was last updated with
 
-```r
+``` r
 stations_meta()
 ```
 
@@ -199,7 +199,7 @@ stations_meta()
 ## [1] "2023-01-24 23:30:00 UTC"
 ## 
 ## $weathercan_modified
-## [1] "2023-09-20"
+## [1] "2024-11-08"
 ```
 
 
@@ -208,8 +208,17 @@ stations_meta()
 Once you have your `station_id`(s) you can download weather data:
 
 
-```r
+``` r
 kam <- weather_dl(station_ids = 51423, start = "2016-01-01", end = "2016-02-15")
+```
+
+```
+## As of weathercan v0.3.0 time display is either local time or UTC
+## See Details under ?weather_dl for more information.
+## This message is shown once per session
+```
+
+``` r
 kam
 ```
 
@@ -228,12 +237,15 @@ kam
 ##  9 KAMLOOPS A        51423 NA               BC     50.7 -120.  345. 1163781    71887  YKA   2016-01-01 2016-01-01 08:00:00 2016  01    01    08:00 <NA>       NA
 ## 10 KAMLOOPS A        51423 NA               BC     50.7 -120.  345. 1163781    71887  YKA   2016-01-01 2016-01-01 09:00:00 2016  01    01    09:00 Snow       NA
 ## # ℹ 1,094 more rows
+## # ℹ 19 more variables: hmdx_flag <chr>, precip_amt <dbl>, precip_amt_flag <chr>, pressure <dbl>, pressure_flag <chr>, rel_hum <dbl>, rel_hum_flag <chr>,
+## #   temp <dbl>, temp_dew <dbl>, temp_dew_flag <chr>, temp_flag <chr>, visib <dbl>, visib_flag <chr>, wind_chill <dbl>, wind_chill_flag <chr>, wind_dir <dbl>,
+## #   wind_dir_flag <chr>, wind_spd <dbl>, wind_spd_flag <chr>
 ```
 
 You can also download data from multiple stations at once:
 
 
-```r
+``` r
 kam.pg <- weather_dl(station_ids = c(48248, 51423), start = "2016-01-01", end = "2016-02-15")
 
 kam.pg
@@ -254,25 +266,31 @@ kam.pg
 ##  9 PRINCE GEOR…      48248 NA               BC     53.9 -123.   680 1096453    71302  VXS   2016-01-01 2016-01-01 08:00:00 2016  01    01    08:00 <NA>       NA
 ## 10 PRINCE GEOR…      48248 NA               BC     53.9 -123.   680 1096453    71302  VXS   2016-01-01 2016-01-01 09:00:00 2016  01    01    09:00 <NA>       NA
 ## # ℹ 2,198 more rows
+## # ℹ 19 more variables: hmdx_flag <chr>, precip_amt <dbl>, precip_amt_flag <chr>, pressure <dbl>, pressure_flag <chr>, rel_hum <dbl>, rel_hum_flag <chr>,
+## #   temp <dbl>, temp_dew <dbl>, temp_dew_flag <chr>, temp_flag <chr>, visib <dbl>, visib_flag <chr>, wind_chill <dbl>, wind_chill_flag <chr>, wind_dir <dbl>,
+## #   wind_dir_flag <chr>, wind_spd <dbl>, wind_spd_flag <chr>
 ```
 
 
 And plot it:
 
 
-```r
+``` r
 ggplot(data = kam.pg, aes(x = time, y = temp, group = station_name, colour = station_name)) +
   theme(legend.position = "top") +
   geom_line() +
   theme_minimal()
 ```
 
-<img src="figures/weathercan-unnamed-chunk-12-1.png" alt="plot of chunk unnamed-chunk-12" style="display: block; margin: auto;" />
+<div class="figure" style="text-align: center">
+<img src="figures/weathercan-unnamed-chunk-12-1.png" alt="plot of chunk unnamed-chunk-12"  />
+<p class="caption">plot of chunk unnamed-chunk-12</p>
+</div>
 
 Or you can use the vector created above:
 
 
-```r
+``` r
 stn_vec_df <- weather_dl(station_ids = stn_vector, start = "2016-01-01", end = "2016-02-15")
 
 stn_vec_df
@@ -293,6 +311,9 @@ stn_vec_df
 ##  9 CRESTON CAM…       6838 NA               BC     49.1 -116.  641. 114B1F0    71770  WJR   2016-01-01 2016-01-01 08:00:00 2016  01    01    08:00 <NA>       NA
 ## 10 CRESTON CAM…       6838 NA               BC     49.1 -116.  641. 114B1F0    71770  WJR   2016-01-01 2016-01-01 09:00:00 2016  01    01    09:00 <NA>       NA
 ## # ℹ 3,302 more rows
+## # ℹ 19 more variables: hmdx_flag <chr>, precip_amt <dbl>, precip_amt_flag <chr>, pressure <dbl>, pressure_flag <chr>, rel_hum <dbl>, rel_hum_flag <chr>,
+## #   temp <dbl>, temp_dew <dbl>, temp_dew_flag <chr>, temp_flag <chr>, visib <dbl>, visib_flag <chr>, wind_chill <dbl>, wind_chill_flag <chr>, wind_dir <dbl>,
+## #   wind_dir_flag <chr>, wind_spd <dbl>, wind_spd_flag <chr>
 ```
 
 For more information on the data flags, see the [Flags vignette](flags.html), for more information on units and terms, see the [Terms and Units vignette](glossary.html).
@@ -302,7 +323,7 @@ For more information on the data flags, see the [Flags vignette](flags.html), fo
 To access climate normals, you first need to know the `climate_id` associated with the station you're interested in.
 
 
-```r
+``` r
 stations_search("Winnipeg", normals_years = "current")
 ```
 
@@ -317,7 +338,7 @@ The current year range is 1981-2010, but you can also search for stations in the
 previous year range:
 
 
-```r
+``` r
 stations_search("Winnipeg", normals_years = "1971-2000")
 ```
 
@@ -333,14 +354,31 @@ Note that the Winnipeg station has normals for both year ranges.
 Then you can download the climate normals with the `normals_dl()` function.
 
 
-```r
+``` r
 n <- normals_dl("5023222")
 ```
 
+```
+## Warning: There were 2 warnings in `dplyr::mutate()`.
+## The first warning was:
+## ℹ In argument: `frost = purrr::map2(...)`.
+## Caused by warning:
+## ! 21 parsing failures.
+## row col  expected     actual         file
+##   4  -- 3 columns 15 columns literal data
+##   5  -- 3 columns 15 columns literal data
+##   6  -- 3 columns 15 columns literal data
+##   7  -- 3 columns 15 columns literal data
+##   8  -- 3 columns 15 columns literal data
+## ... ... ......... .......... ............
+## See problems(...) for more details.
+## ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning.
+```
+
 There are two parts to the normals data, average weather measurements and average frost dates.
 
 
-```r
+``` r
 library(tidyr)
 unnest(n, normals)
 ```
@@ -362,30 +400,43 @@ unnest(n, normals)
 ## 11 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      Nov                  -4.9 A                           3.6 A                      -0.5
 ## 12 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      Dec                 -13.2 A                           4.4 A                      -8.5
 ## 13 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      Year                  3   A                           1.2 A                       8.7
+## # ℹ 192 more variables: temp_daily_max_code <chr>, temp_daily_min <dbl>, temp_daily_min_code <chr>, temp_extreme_max <dbl>, temp_extreme_max_code <chr>,
+## #   temp_extreme_max_date <date>, temp_extreme_max_date_code <chr>, temp_extreme_min <dbl>, temp_extreme_min_code <chr>, temp_extreme_min_date <date>,
+## #   temp_extreme_min_date_code <chr>, rain <dbl>, rain_code <chr>, snow <dbl>, snow_code <chr>, precip <dbl>, precip_code <chr>, snow_mean_depth <dbl>,
+## #   snow_mean_depth_code <chr>, snow_median_depth <dbl>, snow_median_depth_code <chr>, snow_depth_month_end <dbl>, snow_depth_month_end_code <chr>,
+## #   rain_extreme_daily <dbl>, rain_extreme_daily_code <chr>, rain_extreme_daily_date <date>, rain_extreme_daily_date_code <chr>, snow_extreme_daily <dbl>,
+## #   snow_extreme_daily_code <chr>, snow_extreme_daily_date <date>, snow_extreme_daily_date_code <chr>, precip_extreme_daily <dbl>,
+## #   precip_extreme_daily_code <chr>, precip_extreme_daily_date <date>, precip_extreme_daily_date_code <chr>, snow_extreme_depth <dbl>, …
 ```
 
-```r
+``` r
 unnest(n, frost)
 ```
 
 ```
-## # A tibble: 7 × 14
-##   prov  station_name                climate_id normals_years meets_wmo normals  frost_code date_first_fall_frost date_last_spring_frost length_frost_free prob 
-##   <chr> <chr>                       <chr>      <chr>         <lgl>     <list>   <chr>                      <dbl>                  <dbl>             <dbl> <chr>
-## 1 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 10%  
-## 2 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 25%  
-## 3 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 33%  
-## 4 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 50%  
-## 5 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 66%  
-## 6 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 75%  
-## 7 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121 90%
+## # A tibble: 6 × 32
+##   prov  station_name                climate_id normals_years meets_wmo normals  frost_code date_first_fall_frost date_last_spring_frost length_frost_free
+##   <chr> <chr>                       <chr>      <chr>         <lgl>     <list>   <chr>                      <dbl>                  <dbl>             <dbl>
+## 1 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121
+## 2 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121
+## 3 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> A                            265                    143               121
+## 4 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> <NA>                          NA                     NA                NA
+## 5 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> <NA>                          NA                     NA                NA
+## 6 MB    WINNIPEG RICHARDSON INT'L A 5023222    1981-2010     TRUE      <tibble> <NA>                          NA                     NA                NA
+## # ℹ 22 more variables: `Probability of first temperature in fall <= 0C, on or before indicated date (10%)` <dbl>,
+## #   `Probability of first temperature in fall <= 0C, on or before indicated date (25%)` <dbl>,
+## #   `Probability of first temperature in fall <= 0C, on or before indicated date (33%)` <dbl>,
+## #   `Probability of first temperature in fall <= 0C, on or before indicated date (50%)` <dbl>,
+## #   `Probability of first temperature in fall <= 0C, on or before indicated date (66%)` <dbl>,
+## #   `Probability of first temperature in fall <= 0C, on or before indicated date (75%)` <dbl>,
+## #   `Probability of first temperature in fall <= 0C, on or before indicated date (90%)` <dbl>, …
 ```
 
 
 Alternatively, download the 1971-2000 normals:
 
 
-```r
+``` r
 n <- normals_dl("5023222", normals_years = "1971-2000")
 unnest(n, normals)
 ```
@@ -407,14 +458,22 @@ unnest(n, normals)
 ## 11 MB    WINNIPEG RICHARDSON INT'L A 5023222    1971-2000     TRUE      Nov                  -5.3 A                           3.3 A                      -0.9
 ## 12 MB    WINNIPEG RICHARDSON INT'L A 5023222    1971-2000     TRUE      Dec                 -14.4 A                           4.2 A                      -9.7
 ## 13 MB    WINNIPEG RICHARDSON INT'L A 5023222    1971-2000     TRUE      Year                  2.6 A                           1.3 A                       8.3
+## # ℹ 218 more variables: temp_daily_max_code <chr>, temp_daily_min <dbl>, temp_daily_min_code <chr>, temp_extreme_max <dbl>, temp_extreme_max_code <chr>,
+## #   temp_extreme_max_date <date>, temp_extreme_max_date_code <chr>, temp_extreme_min <dbl>, temp_extreme_min_code <chr>, temp_extreme_min_date <date>,
+## #   temp_extreme_min_date_code <chr>, rain <dbl>, rain_code <chr>, snow <dbl>, snow_code <chr>, precip <dbl>, precip_code <chr>, snow_mean_depth <dbl>,
+## #   snow_mean_depth_code <chr>, snow_median_depth <dbl>, snow_median_depth_code <chr>, snow_depth_month_end <dbl>, snow_depth_month_end_code <chr>,
+## #   rain_extreme_daily <dbl>, rain_extreme_daily_code <chr>, rain_extreme_daily_date <date>, rain_extreme_daily_date_code <chr>, snow_extreme_daily <dbl>,
+## #   snow_extreme_daily_code <chr>, snow_extreme_daily_date <date>, snow_extreme_daily_date_code <chr>, precip_extreme_daily <dbl>,
+## #   precip_extreme_daily_code <chr>, precip_extreme_daily_date <date>, precip_extreme_daily_date_code <chr>, snow_extreme_depth <dbl>, …
 ```
 
-```r
+``` r
 unnest(n, frost)
 ```
 
 ```
 ## # A tibble: 0 × 6
+## # ℹ 6 variables: prov <chr>, station_name <chr>, climate_id <chr>, normals_years <chr>, meets_wmo <lgl>, normals <list>
 ```