| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Outline of Final Research Achievements |
Recently, serious damages have been caused by short term heavy rainfalls over urban area frequently. It is indicated that the temperature difference between urban and suburban area (heat island phenomenon) can intensify the short term heavy rainfalls. Therefore, the high-resolution and accurate estimation of land surface state using satellite remote sensing data is expected to improve the weather prediction. In this research, we have developed a high-resolution (2 km) estimation method of land ground surface state quantity using satellite-derived solar radiation data and re-analysis data, to initialize weather prediction using a cloud resolving meteorological model. We conducted a weather prediction experiment on August 5, 2016 using the developed method and found that the predicted maximum temperature become closer to the observed value in Kobe and Himeji in the experiment introducing the high resolution land surface state estimation.
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