Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran
Study region: Karkheh and Karun basins (29°−35°N, 46°−52°E) are two large river basins (area 51,000 and 67,000 km2, respectively) with complex topography in southwest Iran. Study focus: Access to spatio-temporally consistent precipitation data is a key requirement for hydrological studies, especiall...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581822002828 |
| _version_ | 1811316803611131904 |
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| author | Akbar Rahmati Ziveh Aydin Bakhtar Afshin Shayeghi Zahra Kalantari Alireza Massah Bavani Navid Ghajarnia |
| author_facet | Akbar Rahmati Ziveh Aydin Bakhtar Afshin Shayeghi Zahra Kalantari Alireza Massah Bavani Navid Ghajarnia |
| author_sort | Akbar Rahmati Ziveh |
| collection | DOAJ |
| description | Study region: Karkheh and Karun basins (29°−35°N, 46°−52°E) are two large river basins (area 51,000 and 67,000 km2, respectively) with complex topography in southwest Iran. Study focus: Access to spatio-temporally consistent precipitation data is a key requirement for hydrological studies, especially in data-scarce regions. This study evaluated 14 global precipitation products against gauge observations from 2003 to 2012 in Karun and Karkheh basins, southwest Iran. Different categorical and statistical indices at varying spatial and temporal resolution, including Kling-Gupta Efficiency (KGE), bias, correlation coefficient, and variability ratio, were used to evaluate the products. New hydrological insights for the region: For daily time steps, TMPA-3B42V7.0, MERRA-2, and CMORPH-BLDV1.0 outperformed all other products, with KGE > 0.3. TMPA-3B42V7.0, MERRA-2, and PERSIANN-CDR were the best-performing products for monthly time steps, with KGE> 0.5. ERA5-Land showed the highest positive bias (bias>1.5) compared with in-situ observations, particularly for mountainous southeastern parts of Karun basin. Overall, bias-adjusted products obtained by merging ground-based observations in the estimations outperformed the unadjusted versions. The spatial distribution of statistical error metrics indicated that almost all products showed their greatest uncertainties for mountainous regions due to complex precipitation processes in these regions. These results can contribute significantly to hydrological and water resources planning measures in the study region, including early flood warning systems, drought monitoring, and optimization of dam operation. |
| first_indexed | 2024-04-13T11:55:51Z |
| format | Article |
| id | doaj.art-7b38c33bf7f2493d993f7458a2642bb4 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-04-13T11:55:51Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-7b38c33bf7f2493d993f7458a2642bb42022-12-22T02:47:55ZengElsevierJournal of Hydrology: Regional Studies2214-58182022-12-0144101269Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest IranAkbar Rahmati Ziveh0Aydin Bakhtar1Afshin Shayeghi2Zahra Kalantari3Alireza Massah Bavani4Navid Ghajarnia5Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha-Suchdol 16500, Czech RepublicDepartment of Water Engineering, Urmia University, Urmia, IranWater Engineering Department, Imam Khomeini International University (IKIU), Qazvin, IranDepartment of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, Stockholm, Sweden; Department of Physical Geography, Bolin Centre for Climate Research, Stockholm University, Stockholm SE-10691, Sweden; Corresponding author at: Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, Stockholm, Sweden.Department of Irrigation and Drainage Engineering, College of Abureyhan, University of Tehran, IranDepartment of Physical Geography, Bolin Centre for Climate Research, Stockholm University, Stockholm SE-10691, SwedenStudy region: Karkheh and Karun basins (29°−35°N, 46°−52°E) are two large river basins (area 51,000 and 67,000 km2, respectively) with complex topography in southwest Iran. Study focus: Access to spatio-temporally consistent precipitation data is a key requirement for hydrological studies, especially in data-scarce regions. This study evaluated 14 global precipitation products against gauge observations from 2003 to 2012 in Karun and Karkheh basins, southwest Iran. Different categorical and statistical indices at varying spatial and temporal resolution, including Kling-Gupta Efficiency (KGE), bias, correlation coefficient, and variability ratio, were used to evaluate the products. New hydrological insights for the region: For daily time steps, TMPA-3B42V7.0, MERRA-2, and CMORPH-BLDV1.0 outperformed all other products, with KGE > 0.3. TMPA-3B42V7.0, MERRA-2, and PERSIANN-CDR were the best-performing products for monthly time steps, with KGE> 0.5. ERA5-Land showed the highest positive bias (bias>1.5) compared with in-situ observations, particularly for mountainous southeastern parts of Karun basin. Overall, bias-adjusted products obtained by merging ground-based observations in the estimations outperformed the unadjusted versions. The spatial distribution of statistical error metrics indicated that almost all products showed their greatest uncertainties for mountainous regions due to complex precipitation processes in these regions. These results can contribute significantly to hydrological and water resources planning measures in the study region, including early flood warning systems, drought monitoring, and optimization of dam operation.http://www.sciencedirect.com/science/article/pii/S2214581822002828Global precipitation estimation productsSpatio-temporal performance evaluationStatistical error analysisCategorical indexIran |
| spellingShingle | Akbar Rahmati Ziveh Aydin Bakhtar Afshin Shayeghi Zahra Kalantari Alireza Massah Bavani Navid Ghajarnia Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran Journal of Hydrology: Regional Studies Global precipitation estimation products Spatio-temporal performance evaluation Statistical error analysis Categorical index Iran |
| title | Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran |
| title_full | Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran |
| title_fullStr | Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran |
| title_full_unstemmed | Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran |
| title_short | Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran |
| title_sort | spatio temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest iran |
| topic | Global precipitation estimation products Spatio-temporal performance evaluation Statistical error analysis Categorical index Iran |
| url | http://www.sciencedirect.com/science/article/pii/S2214581822002828 |
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