Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa

The performance of six satellite-based and three newly released reanalysis rainfall estimates are evaluated at daily time scale and spatial grid size of 0.25 degrees during the period of 2000 to 2013 over the Upper Blue Nile Basin, Ethiopia, with the view of improving the reliability of precipitatio...

Full description

Bibliographic Details
Main Authors: Dejene Sahlu, Semu A. Moges, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Dereje Hailu
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2017/4957960
id doaj-90ebabd2fa2f4870b43bf97a22dbf7d0
record_format Article
spelling doaj-90ebabd2fa2f4870b43bf97a22dbf7d02020-11-24T23:53:00ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/49579604957960Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East AfricaDejene Sahlu0Semu A. Moges1Efthymios I. Nikolopoulos2Emmanouil N. Anagnostou3Dereje Hailu4Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, EthiopiaSchool of Civil and Environmental Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, EthiopiaCivil and Environmental Engineering, University of Connecticut, Storrs, CT, USACivil and Environmental Engineering, University of Connecticut, Storrs, CT, USASchool of Civil and Environmental Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, EthiopiaThe performance of six satellite-based and three newly released reanalysis rainfall estimates are evaluated at daily time scale and spatial grid size of 0.25 degrees during the period of 2000 to 2013 over the Upper Blue Nile Basin, Ethiopia, with the view of improving the reliability of precipitation estimates of the wet (June to September) and secondary rainy (March to May) seasons. The study evaluated both adjusted and unadjusted satellite-based products of TMPA, CMORPH, PERSIANN, and ECMWF ERA-Interim reanalysis as well as Multi-Source Weighted-Ensemble Precipitation (MSWEP) estimates. Among the six satellite-based rainfall products, adjusted CMORPH exhibits the best accuracy of the wet season rainfall estimate. In the secondary rainy season, unadjusted CMORPH and 3B42V7 are nearly equivalent in terms of bias, POD, and CSI error metrics. All error metric statistics show that MSWEP outperform both unadjusted and gauge adjusted ERA-Interim estimates. The magnitude of error metrics is linearly increasing with increasing percentile threshold values of gauge rainfall categories. Overall, all precipitation datasets need further improvement in terms of detection during the occurrence of high rainfall intensity. MSWEP detects higher percentiles values better than satellite estimate in the wet and poor in the secondary rainy seasons.http://dx.doi.org/10.1155/2017/4957960
collection DOAJ
language English
format Article
sources DOAJ
author Dejene Sahlu
Semu A. Moges
Efthymios I. Nikolopoulos
Emmanouil N. Anagnostou
Dereje Hailu
spellingShingle Dejene Sahlu
Semu A. Moges
Efthymios I. Nikolopoulos
Emmanouil N. Anagnostou
Dereje Hailu
Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa
Advances in Meteorology
author_facet Dejene Sahlu
Semu A. Moges
Efthymios I. Nikolopoulos
Emmanouil N. Anagnostou
Dereje Hailu
author_sort Dejene Sahlu
title Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa
title_short Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa
title_full Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa
title_fullStr Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa
title_full_unstemmed Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa
title_sort evaluation of high-resolution multisatellite and reanalysis rainfall products over east africa
publisher Hindawi Limited
series Advances in Meteorology
issn 1687-9309
1687-9317
publishDate 2017-01-01
description The performance of six satellite-based and three newly released reanalysis rainfall estimates are evaluated at daily time scale and spatial grid size of 0.25 degrees during the period of 2000 to 2013 over the Upper Blue Nile Basin, Ethiopia, with the view of improving the reliability of precipitation estimates of the wet (June to September) and secondary rainy (March to May) seasons. The study evaluated both adjusted and unadjusted satellite-based products of TMPA, CMORPH, PERSIANN, and ECMWF ERA-Interim reanalysis as well as Multi-Source Weighted-Ensemble Precipitation (MSWEP) estimates. Among the six satellite-based rainfall products, adjusted CMORPH exhibits the best accuracy of the wet season rainfall estimate. In the secondary rainy season, unadjusted CMORPH and 3B42V7 are nearly equivalent in terms of bias, POD, and CSI error metrics. All error metric statistics show that MSWEP outperform both unadjusted and gauge adjusted ERA-Interim estimates. The magnitude of error metrics is linearly increasing with increasing percentile threshold values of gauge rainfall categories. Overall, all precipitation datasets need further improvement in terms of detection during the occurrence of high rainfall intensity. MSWEP detects higher percentiles values better than satellite estimate in the wet and poor in the secondary rainy seasons.
url http://dx.doi.org/10.1155/2017/4957960
work_keys_str_mv AT dejenesahlu evaluationofhighresolutionmultisatelliteandreanalysisrainfallproductsovereastafrica
AT semuamoges evaluationofhighresolutionmultisatelliteandreanalysisrainfallproductsovereastafrica
AT efthymiosinikolopoulos evaluationofhighresolutionmultisatelliteandreanalysisrainfallproductsovereastafrica
AT emmanouilnanagnostou evaluationofhighresolutionmultisatelliteandreanalysisrainfallproductsovereastafrica
AT derejehailu evaluationofhighresolutionmultisatelliteandreanalysisrainfallproductsovereastafrica
_version_ 1725471021018906624