Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa

In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall product. This analysis is carried out at high spatia...

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Autores principales: Haile, Alemseged Tamiru, Yan, F., Habib, E.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://hdl.handle.net/10568/77508
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author Haile, Alemseged Tamiru
Yan, F.
Habib, E.
author_browse Habib, E.
Haile, Alemseged Tamiru
Yan, F.
author_facet Haile, Alemseged Tamiru
Yan, F.
Habib, E.
author_sort Haile, Alemseged Tamiru
collection Repository of Agricultural Research Outputs (CGSpace)
description In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall product. This analysis is carried out at high spatial and temporal resolutions (8 × 8 km2 and daily) using observations from rain gauges as a reference for the period covering January 2003 to December 2006. Graphical comparisons and several statistical metrics such as bias, correlation coefficient, and standard deviation of rainfall differences are used to perform the evaluation analysis. Spatial maps of these statistical metrics were developed to assess the spatial dependency in the CMORPH accuracy. The bias is decomposed into different components, hit, missed, and false, in order to gain additional insight into the possible sources of systematic deviations in CMORPH. Overall, CMORPH was able to capture the seasonal and spatial patterns of rainfall over the basin, but with varying degrees of accuracy that depend on topography, latitude and lake-versus-land conditions within the basin. The results show that CMORPH captured rain occurrence relatively well in both wet and dry seasons over the southern part of the basin but it significantly overestimated those over the lake and its southern shore. The bias of CMORPH in the study area is characterized by seasonal and spatial variations (-25 to 30% in wet season and -40 to 60% in dry season). False as well as missed rains contribute significantly to the total rainfall amounts over the basin. Significant levels of the differences are observed at the daily resolution of CMORPH. The relation between CMORPH and gauge rainfall amounts is stronger (correlationmostly N0.4) in thewet season than in the dry (mostly b0.4).
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spelling CGSpace775082025-06-17T08:24:02Z Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa Haile, Alemseged Tamiru Yan, F. Habib, E. rain satellites river basins lakes remote sensing spatial distribution wet season dry season In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall product. This analysis is carried out at high spatial and temporal resolutions (8 × 8 km2 and daily) using observations from rain gauges as a reference for the period covering January 2003 to December 2006. Graphical comparisons and several statistical metrics such as bias, correlation coefficient, and standard deviation of rainfall differences are used to perform the evaluation analysis. Spatial maps of these statistical metrics were developed to assess the spatial dependency in the CMORPH accuracy. The bias is decomposed into different components, hit, missed, and false, in order to gain additional insight into the possible sources of systematic deviations in CMORPH. Overall, CMORPH was able to capture the seasonal and spatial patterns of rainfall over the basin, but with varying degrees of accuracy that depend on topography, latitude and lake-versus-land conditions within the basin. The results show that CMORPH captured rain occurrence relatively well in both wet and dry seasons over the southern part of the basin but it significantly overestimated those over the lake and its southern shore. The bias of CMORPH in the study area is characterized by seasonal and spatial variations (-25 to 30% in wet season and -40 to 60% in dry season). False as well as missed rains contribute significantly to the total rainfall amounts over the basin. Significant levels of the differences are observed at the daily resolution of CMORPH. The relation between CMORPH and gauge rainfall amounts is stronger (correlationmostly N0.4) in thewet season than in the dry (mostly b0.4). 2015-09 2016-11-01T13:39:37Z 2016-11-01T13:39:37Z Journal Article https://hdl.handle.net/10568/77508 en Limited Access Elsevier Haile, Alemseged Tamiru; Yan, F.; Habib, E. 2015. Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa. Atmospheric Research, 163:177-187. doi: https://doi.org/10.1016/j.atmosres.2014.11.011
spellingShingle rain
satellites
river basins
lakes
remote sensing
spatial distribution
wet season
dry season
Haile, Alemseged Tamiru
Yan, F.
Habib, E.
Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa
title Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa
title_full Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa
title_fullStr Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa
title_full_unstemmed Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa
title_short Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa
title_sort accuracy of the cmorph satellite rainfall product over lake tana basin in eastern africa
topic rain
satellites
river basins
lakes
remote sensing
spatial distribution
wet season
dry season
url https://hdl.handle.net/10568/77508
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AT yanf accuracyofthecmorphsatelliterainfallproductoverlaketanabasinineasternafrica
AT habibe accuracyofthecmorphsatelliterainfallproductoverlaketanabasinineasternafrica