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Building a Land Data Assimilation Community to Tackle Technical Challenges in Quantifying and Reducing Uncertainty in Land Model Predictions
Document ID
20220000581
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Natasha MacBean (Indiana University Bloomington, Indiana, United States)
Hannah Liddy (Goddard Institute for Space Studies New York, New York, United States)
Tristan Quaife (University of Reading Reading, United Kingdom)
Jana Kolassa (Science Systems and Applications (United States) Lanham, Maryland, United States)
Andrew Fox (University Corporation for Atmospheric Research Boulder, Colorado, United States)
Date Acquired
January 26, 2022
Publication Date
February 21, 2022
Publication Information
Publication: Bulletin of the American Meteorological Society
Publisher: AMS
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: AIMES Land Data Assimilation Working Group Virtual Workshop on “Tackling Technical Challenges in Land Data Assimilation”
Location: Virtual
Country: US
Start Date: June 14, 2021
Sponsors: Analysis, Integration and Modeling of the Earth System Project
Funding Number(s)
CONTRACT_GRANT: 80NSSC20M0282
CONTRACT_GRANT: NNG17HP01C
Distribution Limits
Public
Copyright
Other
Technical Review
Professional Review
Keywords
Land
Data Assimilation
Land Model

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