Modeling Land Surface Fluxes from Uncertain Rainfall: A Case Study in the Sahel with Field-Driven Stochastic Rainfields

Modeling Land Surface Fluxes from Uncertain Rainfall: A Case Study in the Sahel with Field-Driven Stochastic Rainfields

In distributed land surface modeling (LSM) studies, uncertainty in the rainfields that are used to force models is a major source of error in predicted land surface response variables. This is particularly true for applications in the African Sahel region, where weak knowledge of highly time/space-v...

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Bibliographic Details
Main Authors: Bernard Cappelaere, Denis Feurer, Théo Vischel, Catherine Ottlé, Hassane Bil-Assanou Issoufou, Stéphane Saux-Picart, Ibrahim Maïnassara, Monique Oï, Jean-Philippe Chazarin, Hélène Barral, Benoit Coudert, Jérôme Demarty
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Atmosphere
Subjects:
uncertainty propagation
uncertainty measures
ensemble simulation
water and energy fluxes
evapotranspiration
land surface model
Online Access:https://www.mdpi.com/2073-4433/11/5/465

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https://www.mdpi.com/2073-4433/11/5/465

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