Assessment of the Urban Extreme Precipitation by Satellite Estimates over Mainland China
نویسندگان
چکیده
The accurate estimation of urban extreme precipitation is essential for design and risk management, which hard developing countries, due to the fast urbanization sparse rain gauges. Satellite products (SPPs) have emerged as a promising solution. Not only near real-time SPPs can provide critical information decision making, but post-processed also offer climate change adaption, management strategy development, related fields. However, their ability in has not been examined detail. This study presents comprehensive evaluation four recent that are post-processed, including IMERG, GSMaP_Gauge, MSWEP, CMFD, capture mainland China at national, city, inner-city scales. performance was assessed using daily observations from 821 gauges 2001 2018. assessment includes: (1) estimates total urbanized areas were evaluated correlation coefficients (CC), absolute deviation (AD), relative (RB), five indices; (2) over 21 Chinese major cities with two most important indices, namely 99th percentile on wet days (R99) when exceeding R99 (R99TOT); (3) Bivariate Moran’s I (BMI) adopted assess spatial R99TOT between gauge results indicate MSWEP highest CC 0.79 lowest AD 1.61 mm national scale. it tends underestimate precipitation, an RB −8.5%. GSMaP_Gauge IMERG performed better estimating values, close indices observations. According cities, shows high accuracy best these while CMFD exhibit values R99TOT, respectively, indicating strong those obtained At scale, advantages monitoring distribution cities. firstly provided multiscale by China, useful applications.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15071805