Combining Observations and Models: A Review of the CARDAMOM Framework for Data-Constrained Terrestrial Ecosystem Modeling
Worden et al, 2025 Global Change Biology onlinelibrary.wiley.com/doi/10.1111/...
Combining Observations and Models: A Review of the CARDAMOM Framework for Data-Constrained Terrestrial Ecosystem Modeling
Worden et al, 2025 Global Change Biology onlinelibrary.wiley.com/doi/10.1111/...
Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India - Ramarao - 2025 - Meteorological Applications - Wiley Online Library rmets.onlinelibrary.wiley.com/doi/10.1002/...
Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India - Ramarao - 2025 - Meteorological Applications - Wiley Online Library rmets.onlinelibrary.wiley.com/doi/10.1002/...
Can Typical Land Surface Model Parameterizations Support the Expected Soil Moisture Assimilation Efficiency? - Zhou - 2025 - Water Resources Research - Wiley Online Library agupubs.onlinelibrary.wiley.com/doi/10.1029/...
Can Typical Land Surface Model Parameterizations Support the Expected Soil Moisture Assimilation Efficiency? - Zhou - 2025 - Water Resources Research - Wiley Online Library agupubs.onlinelibrary.wiley.com/doi/10.1029/...
www.nature.com/articles/s41...
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🥇the first AI weather model to learn directly from raw environmental observations
🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally
www.turing.ac.uk/news/fully-a...
🥇the first AI weather model to learn directly from raw environmental observations
🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally
www.turing.ac.uk/news/fully-a...
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