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An assessment of three satellite-based precipitation data sets as applied to the Thailand region

Citation

Janjai, S and Nimnuan, P and Nunez, M and Buntoung, S and Cao, J, An assessment of three satellite-based precipitation data sets as applied to the Thailand region, Physical Geography, 36, (4) pp. 282-304. ISSN 0272-3646 (2015) [Refereed Article]


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Copyright Statement

Copyright 2015 Taylor & Francis

DOI: doi:10.1080/02723646.2015.1045286

Abstract

The study examines three satellite-based data sets to estimate long-term precipitation for the Thailand region: the Tropical Rainfall Mapping Mission (TRMM) 3B43, the Climate Prediction Centre morphing technique (CMORPH), and a locally developed regression model using the geostationary meteorological satellite (GMS) covering the Thailand region. Data for the first two sets were available at a spatial resolution of 0.25° × 0.25°, while the local regression model used data from the GMS at a resolution of 5 km × 5 km. The statistical regression model was developed by relating long-term monthly average precipitation from 27 rain gauge stations with concurrent satellite data in the visible and thermal infrared bands. The model was then tested against independent data from 27 rain gauge stations. Satellite/rain gauge ratios were estimated, and a smooth spline surface was used to correct the error from the model. Data from the three approaches were compared with a rain gauge network. The TRMM relation performed better than CMORPH, and the performance for GMS was comparable to TRMM with root mean square different and mean bias difference of 33.6 and 4.2%, respectively. The locally developed regression model was used to produce monthly and yearly total rainfall maps from the GMS data for the entire country.

Item Details

Item Type:Refereed Article
Keywords:satellite-derived precipitation estimates, Thailand precipitation, rain gauge network
Research Division:Earth Sciences
Research Group:Atmospheric Sciences
Research Field:Climatology (excl. Climate Change Processes)
Objective Division:Environment
Objective Group:Other Environment
Objective Field:Environment not elsewhere classified
Author:Nunez, M (Dr Manuel Nunez)
ID Code:106742
Year Published:2015
Web of Science® Times Cited:2
Deposited By:Geography and Environmental Studies
Deposited On:2016-02-18
Last Modified:2017-10-30
Downloads:0

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