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Spatial disaggregation and intensity correction of TRMM-based rainfall time series for hydrological applications in dryland catchments
Authors:E. Tarnavsky  M. Mulligan  G. Husak
Affiliation:1. Department of Meteorology , University of Reading , Reading , UK e.tarnavsky@reading.ac.uk;3. Department of Geography , King's College London , London , UK;4. Department of Geography , University of California , Santa Barbara , California , USA
Abstract:Abstract

A novel approach is presented for combining spatial and temporal detail from newly available TRMM-based data sets to derive hourly rainfall intensities at 1-km spatial resolution for hydrological modelling applications. Time series of rainfall intensities derived from 3-hourly 0.25° TRMM 3B42 data are merged with a 1-km gridded rainfall climatology based on TRMM 2B31 data to account for the sub-grid spatial distribution of rainfall intensities within coarse-scale 0.25° grid cells. The method is implemented for two dryland catchments in Tunisia and Senegal, and validated against gauge data. The outcomes of the validation show that the spatially disaggregated and intensity corrected TRMM time series more closely approximate ground-based measurements than non-corrected data. The method introduced here enables the generation of rainfall intensity time series with realistic temporal and spatial detail for dynamic modelling of runoff and infiltration processes that are especially important to water resource management in arid regions.

Editor D. Koutsoyiannis

Citation Tarnavsky, E., Mulligan, M. and Husak, G., 2012. Spatial disaggregation and intensity correction of TRMM-based rainfall time series for hydrological applications in dryland catchments. Hydrological Sciences Journal, 57 (2), 248–264.
Keywords:TRMM  precipitation  rainfall intensity  remote sensing  gamma distribution  modelling  hydrology
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