Merge pull request #3 from mhpi/FR

Rahmani et al 2021 added
mhpi · Nov 6, 2023 · 9050069 · 9050069
2 parents 5e44d5c + 15214ee
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diff --git a/.idea/.gitignore b/.idea/.gitignore
diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/.idea/mhpi.github.io.iml b/.idea/mhpi.github.io.iml
diff --git a/.idea/misc.xml b/.idea/misc.xml
diff --git a/.idea/modules.xml b/.idea/modules.xml
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/docs/assets/project-figures/Rahmani_et_al_2021.PNG b/docs/assets/project-figures/Rahmani_et_al_2021.PNG
diff --git a/docs/codes/Rahmani_et_al_2021.md b/docs/codes/Rahmani_et_al_2021.md
@@ -0,0 +1,22 @@
+# LSTM stream temperature model
+
+## Code Release
+
+[See here for the USGS release](https://doi.org/10.5066/P97CGHZH)
+
+## Results
+
+We developed a basin-centric LSTM model for daily stream temperature prediction and to evaluate the impact of streamflow information on the predictions.
+
+## Bibtex Citation
+
+
+```bibtex
+@article{Rahmani2021lstm,
+  title={Exploring the Exceptional Performance of a Deep Learning Stream Temperature Model and the Value of Streamflow Data},
+  author={Rahmani, Farshid and Lawson, Kathryn and Ouyang, Wenyu and Appling, Alison and Oliver, Samantha and Shen, Chaopeng},
+  journal={Environmental Research Letters},
+  year={2021},
+  publisher={IOPScience}
+}
+```
diff --git a/docs/codes/index.md b/docs/codes/index.md
@@ -52,6 +52,19 @@ Time series of the forward model and the models integrating snow water equivalen
   </div>
 </div>
 
+<div class="result" markdown>
+  <div class="grid cards" markdown>
+
+-   [LSTM stream temperature model __(Rahmani et al. 2021)__][Rahmani_et_al_2021.md]
+
+    ---
+![Performance of models with observed streamflow, simulated streamflow, no streamflow data, and a locally fitted auto-regressive model](../assets/project-figures/Rahmani_et_al_2021.png){align="left" width="120"}
+CONUS scale aggregated metrics of stream temperature models for the test period. 
+
+
+  </div>
+</div>
+
 
 <div class="result" markdown>
   <div class="grid cards" markdown>
@@ -68,4 +81,5 @@ Time series of the forward model and the models integrating snow water equivalen
   [bindas_2023.md]: ../codes/bindas_2023.md
   [liu_2022.md]: ../codes/liu_2022.md
   [Song_SWE_2023.md]: ../codes/Song_SWE_2023.md
+  [Rahmani_et_al_2021.md]: ../codes/Rahmani_et_al_2021.md
   [test.md]: ../codes/test.md
diff --git a/environment.yml b/environment.yml
@@ -10,7 +10,7 @@ dependencies:
   - ncurses=6.4=h313beb8_0
   - openssl=3.0.11=h1a28f6b_2
   - pip=23.2.1=py312hca03da5_0
-  - python=3.12.0=h99e199e_0
+  - python=3.11.0=h99e199e_0
   - readline=8.2=h1a28f6b_0
   - setuptools=68.0.0=py312hca03da5_0
   - sqlite=3.41.2=h80987f9_0

diff --git a/mkdocs.yml b/mkdocs.yml
@@ -141,6 +141,7 @@ nav:
         - HBV: codes/feng_2023.md
         - Muskingum-Cunge: codes/bindas_2023.md
         - Multiscale: codes/liu_2022.md
+        - Stream-Temperature: codes/Rahmani_et_al_2021.md
         - Test Project: codes/test.md
 
 extra_javascript: