The evaluation and downscaling‐calibration of IMERG precipitation products at sub‐daily scales over a metropolitan region

Author:

Zhuang Qi1ORCID,Zhou Zhengzheng12ORCID,Liu Shuguang123ORCID,Wright Daniel B.4ORCID,Gao Lisha5

Affiliation:

1. Department of Hydraulic Engineering Tongji University Shanghai China

2. Key Laboratory of Cities’ Mitigation and Adaptation to Climate Change in Shanghai China Meteorological Administration Shanghai China

3. Key Laboratory of Yangtze River Water Environment, Ministry of Education Tongji University Shanghai China

4. Department of Civil and Environmental Engineering University of Wisconsin‐Madison Madison Wisconsin USA

5. Shanghai Water Planning and Design Research Institute (Shanghai Ocean Planning and Design Research Institute) Shanghai China

Abstract

AbstractThe Global Precipitation Measurement (GPM) Integrated Multi‐satellitE Retrievals for GPM products (i.e., IMERG) provide new‐generation satellite precipitation measurements. For urban contexts, however, the issues of its bias and insufficient resolutions still exist. This study aims to develop high‐precision and high‐resolution (e.g., 0.01°/1 h) data for a metropolitan region based on IMERG and gauge precipitations. The original IMERG product is evaluated using hourly in situ precipitations from 47 gauges. A spatial downscaling‐calibration (DC) technique is then developed to enhance the IMERG using the Normalized Difference Vegetation Index. The results show the limited capability of IMERG to capture sub‐daily precipitation and high‐intensity precipitation. The proposed DC method significantly improves IMERG performance, with correlation coefficient (CC) increasing from 0.07 to 0.75, and probability of detection improving from 0.34 to 0.90 at the hourly scale. In terms of spatial rainfall distribution, 86% of mean absolute error and 80% of RMSE are improved with CC increasing from 0.07 to 0.91 on average. Additionally, the calibrated downscaled product provides finer information in local areas, capturing three times more spatial variabilities of urban precipitation against the original IMERG input data. The results highlight the necessity of improving urban observations for flood risk management at fine spatiotemporal resolutions.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

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