GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation



Wang, Kaiyang ORCID: 0000-0003-2420-5521, Kong, Lingrong, Yang, Zixin, Singh, Prateek ORCID: 0000-0002-7439-4685, Guo, Fangyu, Xu, Yunqing, Tang, Xiaonan ORCID: 0000-0002-2434-9341 and Hao, Jianli ORCID: 0000-0003-3064-9794
(2021) GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation. WATER, 13 (10). p. 1422.

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Abstract

<jats:p>This study explores the quality of data produced by Global Precipitation Measurement (GPM) and the potential of GPM for real-time short-term nowcasting using MATLAB and the Short-Term Ensemble Prediction System (STEPS). Precipitation data obtained by rain gauges during the period 2015 to 2017 were used in this comparative analysis. The results show that the quality of GPM precipitation has different degrees efficacies at the national scale, which were revealed at the performance analysis stage of the study. After data quality checking, five representative precipitation events were selected for nowcasting evaluation. The GPM estimated precipitation compared to a 30 min forecast using STEPS precipitation nowcast results, showing that the GPM precipitation data performed well in nowcasting between 0 to 120 min. However, the accuracy and quality of nowcasting precipitation significantly reduced with increased lead time. A major finding from the study is that the quality of precipitation data can be improved through blending processes such as kriging with external drift and the double-kernel smoothing method, which enhances the quality of nowcast over longer lead times.</jats:p>

Item Type: Article
Uncontrolled Keywords: rainfall, satellite precipitation, GPM, hydroclimatic changes, nowcasting, STEPS, Mexico
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 18 Jan 2022 08:13
Last Modified: 15 Mar 2024 12:50
DOI: 10.3390/w13101422
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3147073