Spatiotemporal Evaluation of the Gauge-Adjusted Global Satellite Mapping of Precipitation at the Basin Scale

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  • TAKIDO Kentaro
    Department of Civil Engineering, Tokyo Institute of Technology, Meguro, Japan
  • SAAVEDRA VALERIANO Oliver C.
    Department of Civil Engineering, Tokyo Institute of Technology, Meguro, Japan
  • RYO Masahiro
    Department of Civil Engineering, Tokyo Institute of Technology, Meguro, Japan
  • TANUMA Kazuki
    Department of Civil Engineering, Tokyo Institute of Technology, Meguro, Japan
  • USHIO Tomoo
    Department of Electronic and Information Engineering, Osaka University, Osaka, Japan
  • KUBOTA Takuji
    Japan Aerospace Exploration Agency, Tsukuba, Japan

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抄録

 This study evaluated the accuracy of gauge-adjusted Global Satellite Mapping of Precipitation (GSMaP_Gauge version V5.222.1, hereafter G_Gauge) data in Japan’s Tone River basin during 2006-2009. Specifically, the accuracy of a gauge non-adjusted product, GSMaP Moving Vector with Kalman Filter (GSMaP_MVK, hereafter G_MVK), was also evaluated. Both products were also evaluated against ground observation data from rain gauge-radar combined product Radar-Automated Meteorological Data Acquisition System (Radar-AMeDAS) in terms of temporal and spatial variability. Temporal analyses showed that G_Gauge had better accuracy than G_MVK at sub-daily time scales (1, 3, 6, 9, 12, and 24 h) within any range of precipitation intensity and better detection capabilities of rainfall event. Linear regressions with Radar-AMeDAS showed better performance for G_Gauge than G_MVK at any time scales in terms of Pearson’s correlation coefficient and the slope of regression. At an hourly scale, in particular, Pearson’s correlation coefficient for G_Gauge (0.84) was higher than that for G_MVK (0.72) as well as the slope of linear regression (0.87 and 0.65, respectively). The probability of detection (POD) improved from 0.48 (G_MVK) to 0.70 (G_Gauge) when gauge-adjusted data were used. However, spatial analysis detected that G_Gauge still underestimated the precipitation intensity in high-elevation regions and slightly overestimated it in low elevation regions. The POD and false alarm ratio had a linear relationship with log-transformed elevation data, and the relationships were stronger in the winter seasons than in the summer seasons. At any spatial and temporal scale, the evaluation of these products should consider seasonal changes (especially in winter) and the topographic effects. For further improvements of G_Gauge, we suggest including higher resolution gauge-based network data than the Climate Prediction Center unified gauge-based analysis of global daily precipitation, which is used for G_Gauge.

収録刊行物

  • 気象集誌. 第2輯

    気象集誌. 第2輯 94 (2), 185-195, 2016

    公益社団法人 日本気象学会

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