Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela

Abstract: Satellite-dericed rainfall products are useful for both drought and environmental monitoring, and they also allow for tackling the problems of sparse, unevenly distributed and arratic rain gauge observations provided their accuracy is well known. Venezuela is a country highly vulnerable to extreme weather events such as extensive droughts and flash floods; therefore, an understanding of the strengths and weaknesses of satellite-based rainfall products is useful for the planning of water resources. Using numerical metrics in order to evaluate performance, monthly rainfall estimates, from the Climate Hazards Group InfraRed Precipitation and Stations (CHIRPS v.2) product, are compared to gauge data from the 1981-2007 interval and categorical metrics for assessing rain-detection skills. The analysis was performed considering different rainfall categories, seasonality, and spatial context. The results show that the satellite product CHIRPS v.2 overestimates (underestimates) low (high) monthly rainfall values; although on the majority of numerical metrics of skill shows a good performance. This product, on the other hand, achieves better performance during the rainy season (April-September), significantly overestimating, however, the rainfall-events frequency. The product also shows best overall performance over flat and open regions (e.g., Los Llanos), where precipitation is influenced by the Intertropical Convergence Zone activity and local convective systems.

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Main Authors: Paredes Trejo,Franklin Javier, Alves Barbosa,Humberto, Peñaloza-Murillo,Marcos A., Moreno,María Alejandra, Farías,Asdrúbal
Format: Digital revista
Language:English
Published: Universidad Nacional Autónoma de México, Centro de Ciencias de la Atmósfera 2016
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0187-62362016000400323
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spelling oai:scielo:S0187-623620160004003232017-03-04Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over VenezuelaParedes Trejo,Franklin JavierAlves Barbosa,HumbertoPeñaloza-Murillo,Marcos A.Moreno,María AlejandraFarías,Asdrúbal Venezuela rainfall estimate satellite performance metrics drought flood Abstract: Satellite-dericed rainfall products are useful for both drought and environmental monitoring, and they also allow for tackling the problems of sparse, unevenly distributed and arratic rain gauge observations provided their accuracy is well known. Venezuela is a country highly vulnerable to extreme weather events such as extensive droughts and flash floods; therefore, an understanding of the strengths and weaknesses of satellite-based rainfall products is useful for the planning of water resources. Using numerical metrics in order to evaluate performance, monthly rainfall estimates, from the Climate Hazards Group InfraRed Precipitation and Stations (CHIRPS v.2) product, are compared to gauge data from the 1981-2007 interval and categorical metrics for assessing rain-detection skills. The analysis was performed considering different rainfall categories, seasonality, and spatial context. The results show that the satellite product CHIRPS v.2 overestimates (underestimates) low (high) monthly rainfall values; although on the majority of numerical metrics of skill shows a good performance. This product, on the other hand, achieves better performance during the rainy season (April-September), significantly overestimating, however, the rainfall-events frequency. The product also shows best overall performance over flat and open regions (e.g., Los Llanos), where precipitation is influenced by the Intertropical Convergence Zone activity and local convective systems.info:eu-repo/semantics/openAccessUniversidad Nacional Autónoma de México, Centro de Ciencias de la AtmósferaAtmósfera v.29 n.4 20162016-10-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0187-62362016000400323en
institution SCIELO
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country México
countrycode MX
component Revista
access En linea
databasecode rev-scielo-mx
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region America del Norte
libraryname SciELO
language English
format Digital
author Paredes Trejo,Franklin Javier
Alves Barbosa,Humberto
Peñaloza-Murillo,Marcos A.
Moreno,María Alejandra
Farías,Asdrúbal
spellingShingle Paredes Trejo,Franklin Javier
Alves Barbosa,Humberto
Peñaloza-Murillo,Marcos A.
Moreno,María Alejandra
Farías,Asdrúbal
Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
author_facet Paredes Trejo,Franklin Javier
Alves Barbosa,Humberto
Peñaloza-Murillo,Marcos A.
Moreno,María Alejandra
Farías,Asdrúbal
author_sort Paredes Trejo,Franklin Javier
title Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
title_short Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
title_full Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
title_fullStr Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
title_full_unstemmed Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
title_sort intercomparison of improved satellite rainfall estimation with chirps gridded product and rain gauge data over venezuela
description Abstract: Satellite-dericed rainfall products are useful for both drought and environmental monitoring, and they also allow for tackling the problems of sparse, unevenly distributed and arratic rain gauge observations provided their accuracy is well known. Venezuela is a country highly vulnerable to extreme weather events such as extensive droughts and flash floods; therefore, an understanding of the strengths and weaknesses of satellite-based rainfall products is useful for the planning of water resources. Using numerical metrics in order to evaluate performance, monthly rainfall estimates, from the Climate Hazards Group InfraRed Precipitation and Stations (CHIRPS v.2) product, are compared to gauge data from the 1981-2007 interval and categorical metrics for assessing rain-detection skills. The analysis was performed considering different rainfall categories, seasonality, and spatial context. The results show that the satellite product CHIRPS v.2 overestimates (underestimates) low (high) monthly rainfall values; although on the majority of numerical metrics of skill shows a good performance. This product, on the other hand, achieves better performance during the rainy season (April-September), significantly overestimating, however, the rainfall-events frequency. The product also shows best overall performance over flat and open regions (e.g., Los Llanos), where precipitation is influenced by the Intertropical Convergence Zone activity and local convective systems.
publisher Universidad Nacional Autónoma de México, Centro de Ciencias de la Atmósfera
publishDate 2016
url http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0187-62362016000400323
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