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1 Ergebnisse
1
Machine Learning-Based Observation Operators to Assimilate ..:
, In:
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
,
Garrigues, Sebastien
;
De Rosnay, Patricia
;
Pinnington, Ewan
... - p. 4285-4288 , 2024
Link:
https://doi.org/10.1109/IGARSS53475.2024.10640539
RT T1 <cTitle>IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Machine Learning-Based Observation Operators to Assimilate Microwave and SIF Satellite Observations into the ECMWF Integrated Forecast System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10640539&Exemplar=1&LAN=DE A1 Garrigues, Sebastien A1 De Rosnay, Patricia A1 Pinnington, Ewan A1 Weston, Peter A1 Agusti-Panareda, Anna A1 Boussetta, Souhail A1 Calvet, Jean-Christophe A1 Fairbairn, David A1 Bacour, Cedric A1 Engelen, Richard A1 English, Stephen YR 2024 SN 2153-7003 K1 Deep learning K1 Satellites K1 Instruments K1 Soil moisture K1 Weather forecasting K1 Predictive models K1 Fluorescence K1 Solar Induced Fluorescence K1 backscatter K1 Leaf Area Index K1 machine learning K1 land data assimilation SP 4285 OP 4288 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS53475.2024.10640539 DO https://doi.org/10.1109/IGARSS53475.2024.10640539 SF ELIB - SuUB Bremen
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