Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions

Over 100 participants from the Earth system modeling and numerical weather prediction land data assimilation communities met virtually to discuss technical challenges faced in developing land data assimilations systems, possible solutions and a roadmap for addressing those challenges, and ideas for building a land DA community to facilitate future collaborations and knowledge exchange.

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Copyright 2022 American Meteorological Society.
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Author MacBean, Natasha
Liddy, Hannah
Quaife, Tristan
Kolassa, Jana
Fox, Andrew
Publisher UCAR/NCAR - Library
Publication Date 2022-03-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:36:43.827311
Metadata Record Identifier edu.ucar.opensky::articles:25415
Metadata Language eng; USA
Suggested Citation MacBean, Natasha, Liddy, Hannah, Quaife, Tristan, Kolassa, Jana, Fox, Andrew. (2022). Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7nz8cc6. Accessed 21 July 2025.

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