Articles | Volume 10, issue 10
https://doi.org/10.5194/gmd-10-3889-2017
https://doi.org/10.5194/gmd-10-3889-2017
Model evaluation paper
 | 
25 Oct 2017
Model evaluation paper |  | 25 Oct 2017

Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area

Clément Albergel, Simon Munier, Delphine Jennifer Leroux, Hélène Dewaele, David Fairbairn, Alina Lavinia Barbu, Emiliano Gelati, Wouter Dorigo, Stéphanie Faroux, Catherine Meurey, Patrick Le Moigne, Bertrand Decharme, Jean-Francois Mahfouf, and Jean-Christophe Calvet

Viewed

Total article views: 5,739 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,948 1,614 177 5,739 169 164
  • HTML: 3,948
  • PDF: 1,614
  • XML: 177
  • Total: 5,739
  • BibTeX: 169
  • EndNote: 164
Views and downloads (calculated since 30 May 2017)
Cumulative views and downloads (calculated since 30 May 2017)

Viewed (geographical distribution)

Total article views: 5,739 (including HTML, PDF, and XML) Thereof 5,279 with geography defined and 460 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Nov 2024
Download
Short summary
LDAS-Monde, a global land data assimilation system, is applied over Europe and the Mediterranean basin to increase monitoring accuracy for land surface variables. It is able to ingest information from satellite-derived surface soil moisture (SSM) and leaf area index (LAI) observations to constrain the ISBA land surface model coupled with the CTRIP continental hydrological system. Assimilation of SSM and LAI leads to a better representation of evapotranspiration and gross primary production.