How domain-specific languages in Python can bridge the software productivity gap in weather and climate science: Demonstration with the SHiELD Atmospheric Model

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    W[2022AGUFMSY35A0646W]
    LA["Linked Authors (3)"]
    LI["Linked Institutions (0)"]
    W== author ==>LA
    W== affil ==>LI
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    click LI "#linked-institutions"
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ADS bibcode
2022AGUFMSY35A0646W
year
2022
Listed Authors
Wu, Elynn
Dahm, Johann
Deconinck, Florian
Elbert, Oliver
McGibbon, Jeremy
Wicky, Tobias
Harris, Lucas
Benson, Rusty
Fuhrer, Oliver
Listed Institutions
Allen Institute for Artificial Intelligence, Seattle, United States
Allen Institute for Artificial Intelligence, Seattle, United States
Allen Institute for Artificial Intelligence, Seattle, United States
Allen Institute for Artificial Intelligence, Seattle, United States
Allen Institute for Artificial Intelligence, Seattle, United States
Allen Institute for Artificial Intelligence, Seattle, United States
Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, United States
Geophysical Fluid Dynamics Laboratory, Princeton, United States
Allen Institute for Artificial Intelligence, Seattle, United States

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Linked Institutions