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Out today in JAMES!! Parameter Estimation in Land Surface Models: Challenges and Opportunities With Data Assimilation and Machine Learning doi.org/10.1029/2024... led by Nina Raoult, Natalie Douglas, @janasknits.bsky.social, @tquaife.bsky.social, me, and an awesome team of folks in the community 1/2
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Data assimilation (DA) has been shown to be a powerful tool for reducing land surface model (LSM) parametric uncertainty Machine learning can facilitate parameter estimation by enhancing computat...
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Parameter Estimation in Land Surface Models: Challenges and Opportunities With Data Assimilation and Machine Learning
Natasha MacBean