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Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan

Open-source climate products provide the possibility of complementing observed data, which sometimes suffer from the scarcity and inconsistency issues. This study aims to evaluate the accuracy of two open-source climate products, Climate Hazards Group Infrared Precipitation with Station (CHIRPS 0.05...

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Main Authors: Alsalal, Suheir, Tan, Mou Leong, Narimah Samat,, AL-Bakri, Jawad T., Li, Longhui
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/22054/1/61516-212072-1-PB%20---.pdf
http://journalarticle.ukm.my/22054/
https://ejournal.ukm.my/gmjss/index
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spelling my-ukm.journal.220542023-08-11T02:14:17Z http://journalarticle.ukm.my/22054/ Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan Alsalal, Suheir Tan, Mou Leong Narimah Samat, AL-Bakri, Jawad T. Li, Longhui Open-source climate products provide the possibility of complementing observed data, which sometimes suffer from the scarcity and inconsistency issues. This study aims to evaluate the accuracy of two open-source climate products, Climate Hazards Group Infrared Precipitation with Station (CHIRPS 0.05) and Climate Forecast System Reanalysis (CFSR), in capturing precipitation over the Mujib Basin, Jordan, from 2002 to 2012. Both products were compared with observed data collected from ten climate stations using the point-to-pixel comparison approach at the daily, monthly, seasonal, and annual scales. The coefficient of determination (R2 ), the root mean square error (RMSE), the mean absolute error (MAE), and the relative bias (RB) were used to evaluate the efficiency of CHIRPS and CFSR. While, categorical statistics such as the probability of detection (POD), false alarm ratio (FAR), critical success index (CSI), Heidke skill score (HSS), and frequency bias index (FBI), were used to analyze the precipitation detection capability. Results indicated good correlations between open-source climate products and observed data in the monthly time period, where the R 2 values ranged from 0.65 (CFSR) to 0.76 (CHIRPS). Besides that, CHIRPS performed better than CFSR for the daily, monthly, and seasonal time steps, with a better ability in detecting precipitation. Therefore, CHIRPS is recommended to fill the missing gaps of observed data and to detect the drought conditions over the Mujid Basin. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22054/1/61516-212072-1-PB%20---.pdf Alsalal, Suheir and Tan, Mou Leong and Narimah Samat, and AL-Bakri, Jawad T. and Li, Longhui (2023) Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan. Geografia : Malaysian Journal of Society and Space, 19 (2). pp. 1-20. ISSN 2180-2491 https://ejournal.ukm.my/gmjss/index
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Open-source climate products provide the possibility of complementing observed data, which sometimes suffer from the scarcity and inconsistency issues. This study aims to evaluate the accuracy of two open-source climate products, Climate Hazards Group Infrared Precipitation with Station (CHIRPS 0.05) and Climate Forecast System Reanalysis (CFSR), in capturing precipitation over the Mujib Basin, Jordan, from 2002 to 2012. Both products were compared with observed data collected from ten climate stations using the point-to-pixel comparison approach at the daily, monthly, seasonal, and annual scales. The coefficient of determination (R2 ), the root mean square error (RMSE), the mean absolute error (MAE), and the relative bias (RB) were used to evaluate the efficiency of CHIRPS and CFSR. While, categorical statistics such as the probability of detection (POD), false alarm ratio (FAR), critical success index (CSI), Heidke skill score (HSS), and frequency bias index (FBI), were used to analyze the precipitation detection capability. Results indicated good correlations between open-source climate products and observed data in the monthly time period, where the R 2 values ranged from 0.65 (CFSR) to 0.76 (CHIRPS). Besides that, CHIRPS performed better than CFSR for the daily, monthly, and seasonal time steps, with a better ability in detecting precipitation. Therefore, CHIRPS is recommended to fill the missing gaps of observed data and to detect the drought conditions over the Mujid Basin.
format Article
author Alsalal, Suheir
Tan, Mou Leong
Narimah Samat,
AL-Bakri, Jawad T.
Li, Longhui
spellingShingle Alsalal, Suheir
Tan, Mou Leong
Narimah Samat,
AL-Bakri, Jawad T.
Li, Longhui
Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan
author_facet Alsalal, Suheir
Tan, Mou Leong
Narimah Samat,
AL-Bakri, Jawad T.
Li, Longhui
author_sort Alsalal, Suheir
title Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan
title_short Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan
title_full Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan
title_fullStr Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan
title_full_unstemmed Evaluation of CHIRPS and CFSR precipitation products over the Mujib Basin, Jordan
title_sort evaluation of chirps and cfsr precipitation products over the mujib basin, jordan
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2023
url http://journalarticle.ukm.my/22054/1/61516-212072-1-PB%20---.pdf
http://journalarticle.ukm.my/22054/
https://ejournal.ukm.my/gmjss/index
_version_ 1775623645405642752
score 13.211869

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