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Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions
Published in Bulletin of the American Meteorological Society (Meeting Summary), 2022
Recommended citation: MacBean et al. (2022) https://doi.org/10.1175/BAMS-D-21-0228.1
This paper is a BAMS (Bulletin of the American Meteorological Society) meeting summary of our 1st Annual Land DA Community Workshop on “Tackling Technical Challenges in Land Data Assimilation” held virtually via Zoom in June 2021.
Recommended citation: MacBean, N., H. Liddy, T. Quaife, J. Kolassa, and A. Fox (2021), Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-21-0228.1.