A multi-sources data assimilation system for catchment scale research

Author

Han, Xujun ; Li, Xin ; Zhang, Yanlin ; Kang, Jian

Author_Institution

Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China

fYear

2012

fDate

22-27 July 2012

Firstpage

6960

Lastpage

6962

Abstract

A multi-sources data assimilation system has been developed for the catchment scale land water and energy cycle researches. The land surface model, microwave radiative transfer model and ensemble Kalman filter have been coupled in this system, the high performance computing was also considered. This system is being used in the data assimilation of soil moisture, soil temperature, microwave brightness temperature and snow water equivalent at catchment scale.

Keywords

data assimilation; hydrological techniques; land surface temperature; remote sensing; snow; soil; catchment scale; catchment scale land energy cycle research; catchment scale land water cycle research; catchment scale research; ensemble Kalman filter; land surface model; microwave brightness temperature; microwave radiative transfer model; multisources data assimilation system; snow water; soil moisture; soil temperature; Atmospheric modeling; Computational modeling; Data assimilation; Data models; Land surface; Remote sensing; Soil moisture; Data assimilation; Land surface model; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352561

Filename

6352561