Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/3575
Title: Multitemporal comparative analysis of TRMM-3B42 satellite-estimated rainfall with surface gauge data at basin scales: daily, decadal and monthly evaluations
Authors: Chessum, Emmanuel Kipkorir
Owiti, Titus
Ouma, Yashon O.
Kibiiy, Joel
Ryutaro, Tateishi
Keywords: Multitemporal comparative analysis
Issue Date: 2012
Publisher: Taylor & Francis
Abstract: In order to examine the reliability and applicability of Tropical Rainfall Measuring Mission (TRMM) and Other Satellites Precipitation Product (3B42) Version 6 (TRMM-3B42) at basin scales, satellite rainfall estimates were compared with geo- statistically interpolated reference data from 12 rain gauge stations for three con- secutive years: 2005, 2006 and 2007. Gauge–TRMM-3B42 statistical properties for daily, decadal and monthly multitemporal precipitations were compared using the following cross-validation continuous statistical measures: mean bias error (MBE), root mean square difference (RMSD), mean absolute difference (MAD) and coeffi- cient of determination (r 2 ) metrics. The averaged spatial–temporal comparisons showed that the TRMM-3B42 rainfall estimates were much closer to the geostatis- tically interpolated gauge data, with minimal biases of −0.40 mm day −1 , −1.78 mm decad −1 and −6.72 mm month −1 being observed in 2006. In the same year, the gauge and TRMM-3B42 rainfall estimates marginally correlated better than in 2005 and 2007, with the daily, decadal and monthly coefficients of determination being 82.2%, 93.9% and 96.5%, respectively. The results showed that the cor- relations between the gauge-derived precipitation and the TRMM-3B42-derived precipitation increased with increasing temporal intervals for all three consid- ered years. Quantitatively, the TRMM-3B42 observations slightly overestimated the precipitations during the wet seasons and underestimated the observed rain- fall during the dry seasons. The results of the study show that the estimates from TRMM-3B42 precipitation retrievals can effectively be applied in the inter- polation of missing gauge data, and in the verification of precipitation uncer- tainties at the basin scales with minor adjustments, depending on the timescales considered.
URI: http://ir.mu.ac.ke:8080/jspui/handle/123456789/3575
Appears in Collections:School of Agriculture and Natural Resources



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