Evaluation of satellite-based precipitation over Tianshan mountainous

DOI

10.2991/rsete.2013.232How to use a DOI?

Keywords

Precipitation, TRMM Satellite, Tianshan mountainous, Spatial Distribution

Abstract

The availability of in situ measurements of precipitation in remote locations, especially in mountainous regions of northwest of China, is limited. The ground-based hydro-meteorological observations are frequently sparse in remote mountainous regions and the situation is not improving. While hydrological models have the potential to provide the necessary information, without adequately accurate climate (rainfall, evaporation, etc.) input information, it is extremely difficult to establish models and generate representative water resource availability information. As a result, the use of satellite measurements of precipitation is attractive for water resources management. However, these products have several weaknesses, for example their failure to capture certain types of precipitation, limited accuracy and limited spatial and temporal resolution. This paper evaluates the usefulness of TRMM 3B43 precipitation products over data scarce of complex mountainous terrain in northwest China from a water resources perspective. It is clear that the satellite data cannot be used directly in conjunction with historical gauge data. Specifically, the satellite data do not reflect the strong influences on precipitation of topography in some of the basins. However, the prospects of applying relatively straightforward adjustments are promising and further assessments appear to be justified.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhao Chuancheng
AU  - Yao Shuxia
AU  - Wang Jian
AU  - Cui Jianbo
PY  - 2013/08
DA  - 2013/08
TI  - Evaluation of satellite-based precipitation over Tianshan mountainous
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 955
EP  - 958
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.232
DO  - 10.2991/rsete.2013.232
ID  - Chuancheng2013/08
ER  -