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H. Hendricks Franssen

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Open access Sep 2026

Disentangling Sources of Uncertainty in CLM5 Model Predictions: Water, Energy, and Carbon Fluxes at European Observation Sites

Land surface models (LSMs) such as the Community Land Model version 5 (CLM5) are central to climate–carbon assessments but exhibit persistent biases relative to site‐level observations. It remains unclear to what extent model‐data mismatches arise from uncertainty in meteorological forcing, soil properties, or vege...

Fernand B. Eloundou, Lukas Strebel, B. Naz et al. · 1 citation
Open access Sep 2026

The Role of Assimilating Deep Learning‐Enhanced AMSR‐E/2 Observations in European Soil Moisture Reanalysis

Soil moisture is an essential climate variable that controls the exchange of water and energy between land and atmosphere, directly impacting land surface feedbacks. Satellite‐derived soil moisture provides valuable large‐scale information, but long‐term applications are limited by sensor lifespans, retrieval noise, an...

Visakh Sivaprasad, Johannes Keller, Yorck Ewerdwalbesloh et al. · 0 citations

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