Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352561
