Research on Data Assimilation Methods of Multi-Space-Time Meteroligical and Hydrological Data

Article Preview

Abstract:

Meteorological and hydrological data has the feature of multi-semantic space, multi-space-time, multi-scale and it has a diversed means to be acquired and storaged, which brings the diversity of multi-origin characteristics. This paper will adopt the method of data assimilation to study a variety of data models with different scales and the key technology the grid resolution spatial data integration in order to establish a meteorological and hydrological model of multi-source spatial data assimilation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

118-122

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] KUMAR P Assimilation of near-surface temperature using extended Kalman filter (2003).

Google Scholar

[2] Schuurmans J M. Troch P A Assimilation of remotely sensed latent heat flux in distributed hydrological model 2003.

DOI: 10.1016/s0309-1708(02)00089-1

Google Scholar

[3] Bach H. Mauser W Methods and Examples for Remote Sensing Data Assimilation in Land Surface Process Modeling 2003(7).

DOI: 10.1109/tgrs.2003.813270

Google Scholar

[4] Lakshmi V A simple surface temperature assimilation scheme for use in land surface models 2000(12).

Google Scholar

[5] Hoeben R. Troch P A Assimilation of active microwave observation data for soil moisture profile estimation 2000(10).

DOI: 10.1029/2000wr900100

Google Scholar

[6] Li X. Koike T. Mahadevan P A very fast simulated reannealing (VFSA) approach for land data assimilation 2004(3).

Google Scholar