Applicability analysis of GPM satellite precipitation dataset in Nandu River basin

Linjiang Nan; Mingxiang Yang; Ke Liu; Ningpeng Dong

doi:10.1117/12.2627597

11 March 2022 Applicability analysis of GPM satellite precipitation dataset in Nandu River basin

Linjiang Nan, Mingxiang Yang, Ke Liu, Ningpeng Dong

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121601W (2022) https://doi.org/10.1117/12.2627597
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

In order to compare and analyze the accuracy and applicability of Global Precipitation Measurement Mission (IMERG) satellite precipitation products in Nandu River Basin, the daily precipitation data of 51 ground observation stations in Nandu River Basin from 2014 to 2018 is collected in this paper, and the evaluation index such as Pearson correlation coefficient (CC), root mean square error (RMSE), relative bias (BIAS) and mean absolute error (MAE) are chosen to evaluate the accuracy and applicability of GPM IMERG satellite precipitation products, including Early Run, Late Run and Final Run, on daily and monthly scales. The results show that: (1) the correlation coefficient between the three types of GPM precipitation products and ground station observation dataset is significantly improved on the monthly scale compared with the daily scale. (2) It can be seen that the accuracy of the three types of GPM products is related to the number of data revisions. With the increase of the number of revisions, the accuracy of data continues to rise. In general, GPM precipitation products have high accuracy and applicability in Nandu River Basin. The results of this paper are expected to provide some support for the application of GPM IMERG satellite precipitation dataset in hydrological research and water resources management in Nandu River Basin, and have a certain reference value for the relevant research in other basins.

Citation Download Citation

Linjiang Nan, Mingxiang Yang, Ke Liu, and Ningpeng Dong "Applicability analysis of GPM satellite precipitation dataset in Nandu River basin", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121601W (11 March 2022); https://doi.org/10.1117/12.2627597

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