Plateau Meteorology

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2018 , Vol. 37 >Issue 3: 806 - 814

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00080

Monitoring and Analysis of the Extreme Heavy Rainfall Process on June 10, 2017 in Nanjing Using Five Near Real Time Satellite Rainfall Estimations

  • LI Lingjie ,
  • HU Qingfang ,
  • HUANG Yong ,
  • WANG Yintang ,
  • CUI Tingting ,
  • CAO Shiyi
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  • State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, Jiangsu, China;Anhui Key Lab of Atmospheric Science and Satellite Remote Sensing, Anhui Institute of Meteorological Sciences, Hefei 230031, Anhui, China

Received date: 2017-08-08

  Online published: 2018-06-28

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Abstract

Near real time satellite rainfall estimation (NRT-SRE) with high spatial-temporal resolution and timeliness provides an effective approach for monitoring extreme rainfall events, while its performance determines the reliability and applicability of the data. This paper comprehensively evaluated the capabilities of five NRT-SRE (including TRMM 3B42 V7, IMERG Early, IMERG Late, GSMaP NRT, GSMaP NRT Gauge) against a dense rain gauge network, for monitoring the record-broken extreme rainfall process on June 10, 2017 over Nanjing and the surrounding areas. The results demonstrated that, although two kinds of GSMaP data present notable underestimation of the accumulated rainfall, they basically capture the spatial pattern in which the cumulative rainfall is heavy in the central region while light in the northern and southern regions. However, 3B42RT V7 and two IMERG data showed poorer ability to identify the main spatial distribution characteristics of cumulative rainfall. Regarding to temporal variation of rainfall intensity, all NRT-SRE can correctly detect the extremely heavy rainfall process over Nanjing City and Jiangning District, but the dynamic tracking ability is obviously unsatisfactory with severe significant quantitative errors at the regional and grid scales. Comprehensive accuracy of GSMaP NRT is relatively higher among five NRT-SRE, while the performance of IMERG data is still poorer than 3B42RT V7. Overall, the NRT-SRE has exhibited positive performance on monitoring extremely heavy rainfall process at medium and small space scales, whereas their capabilities to capture precipitation falling areas and track temporal fluctuation of rainfall intensity need to be enhanced in practical applications.

Key words： Near real time satel; extremely heavy rain; monitoring evaluatio; TRMM; IMERG; GSMaP

Cite this article

LI Lingjie , HU Qingfang , HUANG Yong , WANG Yintang , CUI Tingting , CAO Shiyi . Monitoring and Analysis of the Extreme Heavy Rainfall Process on June 10, 2017 in Nanjing Using Five Near Real Time Satellite Rainfall Estimations[J]. Plateau Meteorology, 2018 , 37(3) : 806 -814 . DOI: 10.7522/j.issn.1000-0534.2017.00080

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