A comparative analysis of Tropical Rainfall Measuring Mission (TRMM)-rain gauge data

Merging techniques at the daily time scale for distributed rainfall-runoff modeling applications

From:
Department for International Development
Published
1 January 2015
Document Type:
Journal Article
Theme:
Climate and Environment
Authors:
Nerini, D, Zulkafli, Z, Wang, L.P. and Onof, C

Abstract

This study compares 2 nonparametric rainfall data merging methods - the mean bias correction and double-kernel smoothing with two geostatistical methods - kriging with external drift and Bayesian combination - for optimizing the hydrometeorological performance of a satellite-based precipitation product over a mesoscale tropical Andean watershed in Peru. The analysis is conducted using 11 years of daily time series from the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) research product (also TRMM 3B42) and 173 rain gauges from the national weather station network.

Citation

Nerini, D., Zulkafli, Z., Wang, L.P., Onof, C., Buytaert, W., Lavado-Casimiro, W., Guyot, J.L., A comparative analysis of TRMM-rain gauge data merging techniques at the daily time scale for distributed rainfall-runoff modeling applications, Journal Of Hydrometeorology, vol.16, issue 5, pp.2153-2168, 2015

A comparative analysis of TRMM-rain gauge data merging techniques at the daily time scale for distributed rainfall-runoff modeling applications

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Published 1 January 2015
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