Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros

Rainfall is one of the most important environmental factors affecting the density and canopy cover percentage of plant species, erosion, and natural hazard status and its measurement is important for achieving appropriate water management. Satellite products have been introduced as an alternative me...

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Main Authors: Leila Ghorbani, Reza Jafari, Hossein Bashari
Format: Article
Language:fas
Published: Iranian Scientific Association of Desert Management and Control (ISADMC) 2020-02-01
Series:مدیریت بیابان
Subjects:
Online Access:http://www.jdmal.ir/article_38472_84db47e91115deb70e2c22889a68897c.pdf
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author Leila Ghorbani
Reza Jafari
Hossein Bashari
author_facet Leila Ghorbani
Reza Jafari
Hossein Bashari
author_sort Leila Ghorbani
collection DOAJ
description Rainfall is one of the most important environmental factors affecting the density and canopy cover percentage of plant species, erosion, and natural hazard status and its measurement is important for achieving appropriate water management. Satellite products have been introduced as an alternative method for ground-based measurements due to inaccessibility of some areas such as arid, semi-arid and mountainous areas and lack of temporal and spatial rainfall data. This study aimed to investigate the efficiency of PERSIANN and PERSIANN-CDR satellite products to measure monthly and annual rainfall in Chaharmahal and Bakhtiari province in time span of 2010 and 2016, using correlation coefficient, root means square error and relative bias. Results showed that PERSIANN-CDR yielded the highest correlation coefficient, lowest RMSE and lowest relative bias in both monthly and annual scales. Estimations of rainfall by both PERSIANN and PERSIANN-CDR products were more accurate in monthly scale compared to annual scale. The correlation coefficient of PERSIANN monthly and annual rainfall respectively were 0.833 and 0.465. These correlations for PERSIANN-CDR were 0.877 and 0.641, and statistically significant for monthly and annual rainfall data, respectively. Due to limited numbers of rainfall gauges and inappropriate distribution and their importance in watershed runoff studies, drought and vegetation studies, and using satellite rainfall products with high spatial and temporal coverage can be considered as a suitable data source in climate studies, especially in arid and semi-arid regions of Iran.
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spelling doaj.art-b1bfdb066ee44600b0c72120ffe1fb0b2023-03-02T06:49:26ZfasIranian Scientific Association of Desert Management and Control (ISADMC)مدیریت بیابان2476-39852476-37212020-02-01714152810.22034/jdmal.2020.3847238472Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of ZagrosLeila Ghorbani0Reza Jafari1Hossein Bashari2M.Sc. Graduated, Rangeland Management, Isfahan University of Technology, Isfahan, IranAssociate Professor of Department of Natural Resources, Isfahan university of TechnologyAssistant Professor, Faculty of Natural Resources, Isfahan University of Technology, Isfahan, IranRainfall is one of the most important environmental factors affecting the density and canopy cover percentage of plant species, erosion, and natural hazard status and its measurement is important for achieving appropriate water management. Satellite products have been introduced as an alternative method for ground-based measurements due to inaccessibility of some areas such as arid, semi-arid and mountainous areas and lack of temporal and spatial rainfall data. This study aimed to investigate the efficiency of PERSIANN and PERSIANN-CDR satellite products to measure monthly and annual rainfall in Chaharmahal and Bakhtiari province in time span of 2010 and 2016, using correlation coefficient, root means square error and relative bias. Results showed that PERSIANN-CDR yielded the highest correlation coefficient, lowest RMSE and lowest relative bias in both monthly and annual scales. Estimations of rainfall by both PERSIANN and PERSIANN-CDR products were more accurate in monthly scale compared to annual scale. The correlation coefficient of PERSIANN monthly and annual rainfall respectively were 0.833 and 0.465. These correlations for PERSIANN-CDR were 0.877 and 0.641, and statistically significant for monthly and annual rainfall data, respectively. Due to limited numbers of rainfall gauges and inappropriate distribution and their importance in watershed runoff studies, drought and vegetation studies, and using satellite rainfall products with high spatial and temporal coverage can be considered as a suitable data source in climate studies, especially in arid and semi-arid regions of Iran.http://www.jdmal.ir/article_38472_84db47e91115deb70e2c22889a68897c.pdfsatellite rainfall productscorrelation coefficientroot mean square errorrelative bias
spellingShingle Leila Ghorbani
Reza Jafari
Hossein Bashari
Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros
مدیریت بیابان
satellite rainfall products
correlation coefficient
root mean square error
relative bias
title Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros
title_full Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros
title_fullStr Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros
title_full_unstemmed Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros
title_short Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros
title_sort evaluating the performance of persiann and persiann cdr satellite products in precipitation estimation in semi arid region of zagros
topic satellite rainfall products
correlation coefficient
root mean square error
relative bias
url http://www.jdmal.ir/article_38472_84db47e91115deb70e2c22889a68897c.pdf
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AT rezajafari evaluatingtheperformanceofpersiannandpersianncdrsatelliteproductsinprecipitationestimationinsemiaridregionofzagros
AT hosseinbashari evaluatingtheperformanceofpersiannandpersianncdrsatelliteproductsinprecipitationestimationinsemiaridregionofzagros