Remote Sensing and GIS Applications in Environmental Sciences

Evaluation of PERSIANN family satellite precipitation data on daily, monthly and annual scale in Iran

Document Type : Original Article

Authors

1 Physical Geography Department, Tarbiat Modares University

2 Physical Geography department, Tarbiat Modares university

10.22034/rsgi.2025.63910.1104

Abstract

Precipitation is the most important factor in the hydrological cycle, which has many temporal and spatial changes. The use of satellite precipitation data can be of great use in climatic and hydrological research, especially in areas without rainfall statistics. Over the past three decades, a large number of satellite-derived global precipitation datasets have been developed and used. The purpose of the current research is to investigate the accuracy of the satellite precipitation data of the PERSIANN family products, which includes: PERSIANN, PERSIANN-CCS, PERSIANN-CDR and PERSIANN-PDIR. For this purpose, the daily, monthly and annual data of these products were compared with the observational data of 129 meteorological stations in Iran and in the period of 2008-2022. The evaluation of the accuracy of satellite precipitation data was done using CC and RMSE statistical indices and POD, FAR, CSI, HSS and KSS Categorical metrics. The results on a daily scale indicate the better efficiency of the PERSIANN-PDIR source with correlation and RMSE is 0.30 and 3.4 mm respectively and better performance in POD, CSI and KSS indices. In the monthly and annual scale, PERSIANN-CDR has the best estimation in monthly and annual precipitation with correlation values of 0.81, 0.78 and RMSE 23.4 and 152.7 mm. The PERSIANN source has an underestimation of annual precipitation and the PERSIANN-CCS source also has an overestimation of precipitation. However, in the high rainfall areas located in the northern belt and the Zagros mountain range, PERSIANN family products reported the annual rainfall lower than the actual amount and perform better on a monthly scale than on a daily and annual scale.

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Main Subjects

بارش مهمترین عامل در چرخه هیدرولوژی است که دارای تغییرات زیاد زمانی و مکانی است استفاده از دادهای بارش ماهواره­ای می­تواند کاربرد زیادی در تحقیقات اقلیمی و هیدرولوژیکی بویژه در مناطق فاقد آمار بارندگی داشته باشد. در طول سه دهه گذشته، تعداد زیادی از مجموعه داده‌های بارش جهانی برگرفته از ماهواره، توسعه و مورد استفاده قرار گرفته اند. هدف پژوهش حاضر بررسی میزان کارایی داده­های بارش ماهواره­ای مجموعه PERSIANN است که شامل چهار منبع PERSIANN ، PERSIANN-CCS ، PERSIANN-CDRو PDIR- PERSIANN می­باشد. بدین منظور داده­های روزانه، ماهانه و سالانه این محصولات در سطح ایران و در بازه زمانی 2022-2008 با داده­های مشاهداتی 129 ایستگاه هواشناسی مورد مقایسه قرار گرفت.  اعتبار سنجی  میزان دقت داده­های بارش ماهواره­ای با استفاده از  شاخص­های آماری CC و RMSE و شاخص­های طبقه­بندی POD، FAR، CSI، HSS و KSS انجام گرفت. نتایج ارزیابی در مقیاس روزانه حاکی از کارایی بهتر منبع PDIR- PERSIANNبا همبستگی و RMSE به ترتیب 30/0 و 4/3 میلی­متر و عملکرد بهتر در شاخص­های POD، CSI و KSS است. در مقیاس­های ماهانه و سالانه PERSIANN-CDR با مقدار همبستگی 81/0، 78/0 و  RMSE4/23 و 7/152 میلی­متر بهترین برآورد را در بارش ماهانه و سالانه دارد. منبع PERSIANN دارای کم­برآوردی بارش سالانه و منبع بارشی PERSIANN-CCS نیز دارای بیش­برآوردی بارش است. با این وجود در نواحی پربارش واقع در نوار شمالی و رشته­کوه زاگرس، هر چهار منبع خانوادهPERSIANN  بارش سالانه را کمتر از مقدار واقعی گزارش کردند. 

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Remote Sensing and GIS Applications in Environmental Sciences
Volume 4, Issue 13
February 2025
Pages 116-90
  • Receive Date: 15 October 2024
  • Revise Date: 11 November 2024
  • Accept Date: 29 January 2025