Management of Natural Ecosystems

Management of Natural Ecosystems

Evaluation of the performance of global satellite products in the simulation of precipitation in the urban areas of northeastern Iran

Document Type : Original Article

Authors
Mahdi Zarei 1
Hadi Soltanifard 2
Rasoul Rasoul 3
1 Associate Professor, Geography Research Department, Research Center of Social Studies and Geographical Sciences, Hakim Sabzevari University, Sabzevar, Iran.
2 Associate Professor, Department of Environment, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran.
3 Postdoctoral Researcher, Geography Research Department, Research Center of Social Studies and Geographical Sciences, Hakim Sabzevari University, Sabzevar, Iran.
10.22034/emj.2025.2044583.1079
Abstract
Selection the suitable model for precipitation simulation plays an important role in hydrological events. The present study aims in order to evaluate the accuracy of the simulated precipitation in the northeastern regions of Iran using four satellite products: PERSIANN-CDR, ERA5, GSMaP, and GPM, in Google Earth Engine. For this purpose, data from four precipitation events at 17 synoptic stations has been used. The performance of above productsin estimating precipitation was evaluated using verification metrics such as TS, H, FAR, and F. Results indicate better performance of the PERSIANN-CDR and ERA5 products, and poor performance of the GPM product compared to other products. So that the, precipitation of PERSIANN-CDR showed an error of less than 0.75 at 9 stations, ERA5 precipitation at 8 stations an error of less than 0.50, and the precipitation from GPM an error of less than 0.75 in only 4 stations. Also, based on the results, in some stations, generally a product has a better performance than other products, and in some stations, several products have provided similar accuracy. For example, the best accuracy in simulating precipitation by PERSIANN was recorded at the Darghaz and Quchan stations with values of 0.50 and 0.25, respectively. On the other hand, none of the used products at the Sabzevar and Fariman stations did not have adequate accuracy in the simulation, got a score of zero. Also, two products, PERSIANN and ERA5, estimated the precipitation in stations such as Kashmer and Taybad with similar accuracy. Therefore, the PERSIANN-CDR and ERA5 products are more efficient tools for simulating in the arid and semi-arid regions of northeastern Iran. The obtained results emphasize the necessity of using multiple models to increase simulation accuracy and also improving precipitation forecasting algorithms improve precipitation forecasting algorithms. These results can be used as a scientific basis for planning and management of water resources in arid and semi-arid regions and developing strategies of climate and hydrological forecasting.
Keywords
Precipitation
Simulation
Satellite Products
Northeastern Iran
Subjects
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  • Receive Date 30 October 2024
  • Revise Date 26 December 2024
  • Accept Date 28 December 2024