Northern Dvina runoff simulation using land-surface model SWAP and global databases

2011 ◽  
Vol 38 (4) ◽  
pp. 470-483 ◽  
Author(s):  
E. M. Gusev ◽  
O. N. Nasonova ◽  
L. Ya. Dzhogan ◽  
E. E. Kovalev
Keyword(s):  
Land Surface ◽  
Land Surface Model ◽  
Surface Model ◽  
Runoff Simulation ◽  
Global Databases

scholarly journals Revisiting a Simple Degree-Day Model for Integrating Satellite Data: Implementation of Swe-Sca Hystereses

2019 ◽  
Vol 67 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Philippe Riboust ◽  
Guillaume Thirel ◽  
Nicolas Le Moine ◽  
Pierre Ribstein
Keyword(s):  
Land Surface ◽  
Snow Water Equivalent ◽  
Land Surface Model ◽  
Calibration Method ◽  
Surface Model ◽  
Runoff Simulation ◽  
Snow Cover Area ◽  
Degree Day ◽  
Snow Model ◽  
Rainfall Runoff Model

Abstract Conceptual degree-day snow models are often calibrated using runoff observations. This makes the snow models dependent on the rainfall-runoff model they are coupled with. Numerous studies have shown that using Snow Cover Area (SCA) remote sensing observation from MODIS satellites helps to better constrain parameters. The objective of this study was to calibrate the CemaNeige degree-day snow model with SCA and runoff observations. In order to calibrate the snow model with SCA observations, the original CemaNeige SCA formulation was revisited to take into account the hysteresis that exists between SCA and the snow water equivalent (SWE) during the accumulation and melt phases. Several parametrizations of the hysteresis between SWE and SCA were taken from land surface model literature. We showed that they improve the performances of SCA simulation without degrading the river runoff simulation. With this improvement, a new calibration method of the snow model was developed using jointly SCA and runoff observations. Further analysis showed that the CemaNeige calibrated parameter sets are more robust for simulating independent periods than parameter sets obtained from discharge calibration only. Calibrating the snow model using only SCA data gave mixed results, with similar performances as using median parameters from all watersheds calibration.

L'apport de la télédétection spatiale à la modélisation des surfaces continentales

2020 ◽  
pp. 052
Author(s):  
Jean-Christophe Calvet ◽  
Jean-Louis Champeaux
Keyword(s):  
Satellite Data ◽  
Land Surface ◽  
Land Surface Model ◽  
Static Model ◽  
Geographic Information ◽  
Surface Model ◽  
Model Parameters

Cet article présente les différentes étapes des développements réalisés au CNRM des années 1990 à nos jours pour spatialiser à diverses échelles les simulations du modèle Isba des surfaces terrestres. Une attention particulière est portée sur l'intégration, dans le modèle, de données satellitaires permettant de caractériser la végétation. Deux façons complémentaires d'introduire de l'information géographique dans Isba sont présentées : cartographie de paramètres statiques et intégration au fil de l'eau dans le modèle de variables observables depuis l'espace. This paper presents successive steps in developments made at CNRM from the 1990s to the present-day in order to spatialize the simulations of the Isba land surface model at various scales. The focus is on the integration in the model of satellite data informative about vegetation. Two complementary ways to integrate geographic information in Isba are presented: mapping of static model parameters and sequential assimilation of variables observable from space.

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