Recent advances on soil moisture data assimilation

Auteur :
NI-MEISTER, W.

Description :
Data assimilation is a process of merging observations with a system dynamic model to provide an improved estimate of the states of the environment. After briefing the history of soil moisture data assimilation, the review focuses on the most common data assimilation methods and recent progress made in soil moisture data assimilation through a case study of the soil moisture initialization activities for NASA's seasonal and interannual climate prediction. Further advancement on the current soil moisture data assimilation methods is necessary to be able to assimilate multisource hydrological remote sensing data sources at continental and global scales.


Type de document :
Article de périodique

Source :
Physical geography, issn : 0272-3646, 2008, vol. 29, n°. 1, p. 19-37, nombre de pages : 19, Collation : Illustration, Références bibliographiques : 4 p.

Date :
2008

Editeur :
Pays édition : Royaume-Uni, Abingdon, Taylor and Francis