Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hessd-12-2497-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
27 Feb 2015
Review status
A revision of this discussion paper for further review has not been submitted.
Simulating the regional water balance through hydrological model based on TRMM satellite rainfall data
D. Li1, X. Ding2, and J. Wu3 1College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
2Laohutan Reservoir management office of Huzhou City, Huzhou, China
3Ocean College, Zhejiang University, Hangzhou, China
Abstract. Spatial rainfall is a key input to Distributed Hydrological Models, which is the most important limitation for the accuracy of hydrological models. Model performance and uncertainty could increase when rain gauge is sparse. Satellite-based precipitation products would be an alternative to ground-based rainfall estimates in present and the foreseeable future, however, it is necessary to evaluate the products before further implication. The objective of this paper is to provide assessments of: (a) the Tropical Rainfall Measuring Mission (TRMM) rainfall product using gauge data, (b) the TRMM rainfall as forcing data for hydrological simulation, and (c) the role of satellite data in calculating water balance and water management. TRMM rainfall data show reasonable performances at monthly and annual scales, fitting well with surface observation-based histogram of precipitation. Satisfactory performances in monthly runoff simulation (NS = 0.50 ~ 0.70, R2 = 0.73 ~ 0.85) observed in our study indicate that the TRMM rainfall data have potential applications in driving hydrological model, water balance analysis, and basin water resource management in developing countries or remote locations, where precipitation gauges are scare.

Citation: Li, D., Ding, X., and Wu, J.: Simulating the regional water balance through hydrological model based on TRMM satellite rainfall data, Hydrol. Earth Syst. Sci. Discuss., 12, 2497-2525, doi:10.5194/hessd-12-2497-2015, 2015.
D. Li et al.
Interactive discussionStatus: closed (peer review stopped)
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D. Li et al.

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