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- W2893965613 abstract "GSMaP (Global Satellite Mapping Precipitation) satellite rainfall estimates are evaluated at the hourly time scale and spatial resolution 0.1 degree latitude x 0.1 degree longitude. The reference data came from AMEDAS (Automated Meteorological Data Acquisition System) station network of about 27 rain gauges over Kumamoto Prefecture, Japan. This region has very complex terrain and humidity which is characterized by typhoon. Hence, this area are often hit by flash flood. The research has been conducted to evaluate hourly GSMAP (i.e., GSMaP_MVK (Moving Vector with Kalman Filter) and GSMaP_NRT (Near Real Time)) data with AMEDAS data during flood events from 2003 to 2012 and to define the rainfall pattern which causes flood. Statistical analysis was used to evaluate the GSMaP data, both qualitative and quantitative. The result indicate that GSMaP_MVK was reasonably good at detecting precipitation events and GSMAP_NRT was inadequate to represent the rainfall AMEDAS data. Long term and short term rainfall pattern were observed over Kumamoto Prefecture before occurrence of the flood." @default.
- W2893965613 created "2018-10-05" @default.
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- W2893965613 date "2017-01-01" @default.
- W2893965613 modified "2023-09-28" @default.
- W2893965613 title "Validation of Hourly GSMAP and Ground Base Estimate of Precipitation for Flood Monitoring in Kumamoto, Japan" @default.
- W2893965613 hasPublicationYear "2017" @default.
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