Long-term spatiotemporal evaluation of CHIRPS satellite precipitation product over different climatic regions of Iran

被引:0
作者
Ali Ghozat
Ahmad Sharafati
Seyed Abbas Hosseini
机构
[1] Islamic Azad University,Department of Civil Engineering, Science and Research Branch
来源
Theoretical and Applied Climatology | 2021年 / 143卷
关键词
CHIRPS; Climatic regions; Precipitation; Satellite product;
D O I
暂无
中图分类号
学科分类号
摘要
Satellite precipitation products are important data sources in different spatial resolutions, time scales, and spatio-temporal coverage. In this study, the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) satellite precipitation product with a high spatial resolution (0.05°) is evaluated in the period of 1987 to 2017 over different climate regions of Iran. The accuracy of the satellite product is compared with the 68 ground-based meteorological stations over different time scales (i.e., daily, monthly, and annual) and precipitation classes. Results show that the performance of CHIRPS depends on the time scale, precipitation depth, and climate type. The best performance of the product (CC = 0.80, FRMSE = 0.57, NSE = 0.63) across the country is observed in the annual time scale, while the monthly product offers the best performance in the regional scale. The product provides inadequate performance (CC = 0.34, FRMSE = 5.72, NSE = − 0.2) in daily time scale across the country and most of the climatic regions. The product is found to be most accurate in the south and southwest of the country, while the lowest performance is observed over the Caspian coast. The CHIRPS satellite provides the best performance in detection of no/tiny precipitation (POD > 0.90) and the worst performance in light and low, moderate precipitation (POD < 0.10). It is expected that the findings of the current study can be used to manage the water resources and mitigate the disaster at the national level.
引用
收藏
页码:211 / 225
页数:14
相关论文
共 253 条
  • [21] Knapp KR(2015)An assessment of three satellite-based precipitation data sets as applied to the Thailand region Phys Geogr 36 119-96
  • [22] Cecil LD(2010)Comparing high-resolution gridded precipitation data with satellite rainfall estimates of TRMM-3B42 over Iran Adv Geosci 25 87-503
  • [23] Nelson BR(2016)Evaluation of latest TMPA and CMORPH satellite precipitation products over Yellow River Basin Water Sci Eng 9 487-219
  • [24] Prat OP(2004)CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution J Hydrometeorol 5 205-817
  • [25] Ashouri H(2013)Evaluation of satellite-based precipitation estimation over Iran J Arid Environ 97 809-3291
  • [26] Nguyen P(1998)The tropical rainfall measuring mission (TRMM) sensor package J Atmos Ocean Technol 15 3281-169
  • [27] Thorstensen A(2009)Improving interpolation of daily precipitation for hydrologic modelling: spatial patterns of preferred interpolators Hydrol Process 23 157-426
  • [28] Hsu KL(2013)Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River J Hydrol 500 407-13463
  • [29] Sorooshian S(2015)Multiscale hydrologic applications of the latest satellite precipitation products in the Yangtze River basin using a distributed hydrologic model J Hydrometeorol 16 13431-996
  • [30] Braithwaite D(2008)Study on the spatial interpolation of agroclimatic resources in Chongqing J Anhui Agric 36 984-150