Skip to content

Commit

Permalink
Merge pull request #5517 from openjournals/joss.06733
Browse files Browse the repository at this point in the history 
Merging automatically
  • Loading branch information
@editorialbot
editorialbot authored Jun 20, 2024
2 parents 347c8cb + 3c25373 commit 57aea37
Show file tree
Hide file tree
Showing 4 changed files with 737 additions and 0 deletions.
271 changes: 271 additions & 0 deletions joss.06733/10.21105.joss.06733.crossref.xml
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,271 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20240620141848-ddca0188f23e5c692e95bf52f5a8a554795cb77d</doi_batch_id>
<timestamp>20240620141848</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>06</month>
<year>2024</year>
</publication_date>
<journal_volume>
<volume>9</volume>
</journal_volume>
<issue>98</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>MWRpy: A Python package for processing microwave
radiometer data</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Tobias</given_name>
<surname>Marke</surname>
<ORCID>https://orcid.org/0000-0001-7804-9056</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Ulrich</given_name>
<surname>Löhnert</surname>
<ORCID>https://orcid.org/0000-0002-9023-0269</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Simo</given_name>
<surname>Tukiainen</surname>
<ORCID>https://orcid.org/0000-0002-0651-4622</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Tuomas</given_name>
<surname>Siipola</surname>
<ORCID>https://orcid.org/0009-0004-7757-0893</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Bernhard</given_name>
<surname>Pospichal</surname>
<ORCID>https://orcid.org/0000-0001-9517-8300</ORCID>
</person_name>
</contributors>
<publication_date>
<month>06</month>
<day>20</day>
<year>2024</year>
</publication_date>
<pages>
<first_page>6733</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.06733</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.11614185</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/6733</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.06733</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.06733</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.06733.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="mwr_pro">
<article_title>Ground-based microwave radiometer
reprocessing mwr_pro</article_title>
<author>Löhnert</author>
<doi>10.5281/zenodo.7973553</doi>
<cYear>2023</cYear>
<unstructured_citation>Löhnert, U. (2023). Ground-based
microwave radiometer reprocessing mwr_pro (Version v04). Zenodo.
https://doi.org/10.5281/zenodo.7973553</unstructured_citation>
</citation>
<citation key="IllingworthEt2007">
<article_title>Cloudnet: Continuous evaluation of cloud
profiles in seven operational models using ground-based
observations</article_title>
<author>Illingworth</author>
<journal_title>Bulletin of the American Meteorological
Society</journal_title>
<issue>6</issue>
<volume>88</volume>
<doi>10.1175/BAMS-88-6-883</doi>
<cYear>2007</cYear>
<unstructured_citation>Illingworth, A. J., &amp; Coauthors.
(2007). Cloudnet: Continuous evaluation of cloud profiles in seven
operational models using ground-based observations. Bulletin of the
American Meteorological Society, 88(6), 883–898.
https://doi.org/10.1175/BAMS-88-6-883</unstructured_citation>
</citation>
<citation key="Laj2024">
<article_title>Aerosol, Clouds and Trace Gases Research
Infrastructure – ACTRIS, the European research infrastructure supporting
atmospheric science</article_title>
<author>Laj</author>
<journal_title>Bulletin of the American Meteorological
Society</journal_title>
<doi>10.1175/BAMS-D-23-0064.1</doi>
<cYear>2024</cYear>
<unstructured_citation>Laj, P., &amp; Coauthors. (2024).
Aerosol, Clouds and Trace Gases Research Infrastructure – ACTRIS, the
European research infrastructure supporting atmospheric science.
Bulletin of the American Meteorological Society.
https://doi.org/10.1175/BAMS-D-23-0064.1</unstructured_citation>
</citation>
<citation key="Tukiainen2020">
<article_title>CloudnetPy: A Python package for processing
cloud remote sensing data</article_title>
<author>Tukiainen</author>
<journal_title>Journal of Open Source
Software</journal_title>
<issue>53</issue>
<volume>5</volume>
<doi>10.21105/joss.02123</doi>
<cYear>2020</cYear>
<unstructured_citation>Tukiainen, S., O’Connor, E., &amp;
Korpinen, A. (2020). CloudnetPy: A Python package for processing cloud
remote sensing data. Journal of Open Source Software, 5(53), 2123.
https://doi.org/10.21105/joss.02123</unstructured_citation>
</citation>
<citation key="Westwater2004">
<article_title>A review of surface-based microwave and
millimeter-wave radiometric remote sensing of the
troposphere</article_title>
<author>Westwater</author>
<journal_title>URSI Radio Science Bulletin</journal_title>
<issue>310</issue>
<volume>2004</volume>
<doi>10.23919/URSIRSB.2004.7909438</doi>
<cYear>2004</cYear>
<unstructured_citation>Westwater, E. R., Crewell, S., &amp;
Mätzler, C. (2004). A review of surface-based microwave and
millimeter-wave radiometric remote sensing of the troposphere. URSI
Radio Science Bulletin, 2004(310), 59–80.
https://doi.org/10.23919/URSIRSB.2004.7909438</unstructured_citation>
</citation>
<citation key="Rüfenacht2021">
<article_title>EUMETNET opens to microwave radiometers for
operational thermodynamical profiling in Europe</article_title>
<author>Rüfenacht</author>
<journal_title>Bulletin of Atmospheric Science and
Technology</journal_title>
<issue>4</issue>
<volume>2</volume>
<doi>10.1007/s42865-021-00033-w</doi>
<cYear>2021</cYear>
<unstructured_citation>Rüfenacht, R., Haefele, A.,
Pospichal, B., Cimini, D., Bircher-Adrot, S., Turp, M., &amp; Sugier, J.
(2021). EUMETNET opens to microwave radiometers for operational
thermodynamical profiling in Europe. Bulletin of Atmospheric Science and
Technology, 2(4).
https://doi.org/10.1007/s42865-021-00033-w</unstructured_citation>
</citation>
<citation key="Crewell2007">
<article_title>Accuracy of boundary layer temperature
profiles retrieved with multifrequency multiangle microwave
radiometry</article_title>
<author>Crewell</author>
<journal_title>IEEE Transactions on Geoscience and Remote
Sensing</journal_title>
<issue>7</issue>
<volume>45</volume>
<doi>10.1109/TGRS.2006.888434</doi>
<cYear>2007</cYear>
<unstructured_citation>Crewell, S., &amp; Löhnert, U.
(2007). Accuracy of boundary layer temperature profiles retrieved with
multifrequency multiangle microwave radiometry. IEEE Transactions on
Geoscience and Remote Sensing, 45(7), 2195–2201.
https://doi.org/10.1109/TGRS.2006.888434</unstructured_citation>
</citation>
<citation key="Crewell2003">
<article_title>Accuracy of cloud liquid water path from
ground-based microwave radiometry 2. Sensor accuracy and
synergy</article_title>
<author>Crewell</author>
<journal_title>Radio Science</journal_title>
<issue>3</issue>
<volume>38</volume>
<doi>10.1029/2002RS002634</doi>
<cYear>2003</cYear>
<unstructured_citation>Crewell, S., &amp; Löhnert, U.
(2003). Accuracy of cloud liquid water path from ground-based microwave
radiometry 2. Sensor accuracy and synergy. Radio Science, 38(3).
https://doi.org/10.1029/2002RS002634</unstructured_citation>
</citation>
<citation key="Löhnert2012">
<article_title>Operational profiling of temperature using
ground-based microwave radiometry at Payerne: Prospects and
challenges</article_title>
<author>Löhnert</author>
<journal_title>Atmospheric Measurement
Techniques</journal_title>
<issue>5</issue>
<volume>5</volume>
<doi>10.5194/amt-5-1121-2012</doi>
<cYear>2012</cYear>
<unstructured_citation>Löhnert, U., &amp; Maier, O. (2012).
Operational profiling of temperature using ground-based microwave
radiometry at Payerne: Prospects and challenges. Atmospheric Measurement
Techniques, 5(5), 1121–1134.
https://doi.org/10.5194/amt-5-1121-2012</unstructured_citation>
</citation>
<citation key="Larosa2024">
<article_title>PyRTlib: An educational Python-based library
for non-scattering atmospheric microwave radiative transfer
computations</article_title>
<author>Larosa</author>
<journal_title>Geoscientific Model
Development</journal_title>
<issue>5</issue>
<volume>17</volume>
<doi>10.5194/gmd-17-2053-2024</doi>
<cYear>2024</cYear>
<unstructured_citation>Larosa, S., Cimini, D., Gallucci, D.,
Nilo, S. T., &amp; Romano, F. (2024). PyRTlib: An educational
Python-based library for non-scattering atmospheric microwave radiative
transfer computations. Geoscientific Model Development, 17(5),
2053–2076.
https://doi.org/10.5194/gmd-17-2053-2024</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>
Binary file added joss.06733/10.21105.joss.06733.pdf
View file
Binary file not shown.
Loading

0 comments on commit 57aea37

Please sign in to comment.