Application of a Method to Estimate Rainfall in Bangladesh Using GMS-5 Data

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概要

• 論文の詳細を見る

• Japanese Geostationary Meteorological Satellite 5 (GMS-5) data were used to estimate rainfall in Bangladesh over a period of 61 days from June 1, 1996. The 3-hourly digital data over 33 ground-truth stations throughout Bangladesh obtained from GMS-5 were analyzed. Satellite rainfall was estimated] by the Convective Stratiform Technique (CST) algorithm. The amount of rain fall calculated by the CST was compared with that calculated from the ground-truth data. That calculated by the CST was 1.1 times larger than that of the ground-truth rainfall. The average daily rainfalls were 15 mm as calculated from satellite and 14.3 mm from the ground-truth data. The correlation between the satellite and the ground-trulh rainfall was significant at coastal stations but not at inland ones. Satellite and ground-truth data were used to derive a linear regression equation for estimating the amount of surface rain from satellite data. Data from stations throughout the country that showed good correlations gave a slope term of 0.84 and intercept conslanl of -0.1 in the regression equation.

• 日本自然災害学会の論文

著者

• Islam Md.

  SMRC

• ISLAM Md.

  南アジア地域協力連合気象研究所

• Islam M

  Smrc

• Islam M

  Department Of Physics Bangladesh University Of Engineering & Technology

• Uyeda H

  Hokkaido Univ. Sapporo Jpn

• TERAO Toru

  Faculty of Informatics, Osaka Gakuin University

• ISLAM Md.

  Department of Life Science, Graduate School of Life Science, University of Hyogo

• Hayashi Taiichi

  Disaster Prevention Reserch Institute, Kyoto University

• UYEDA Hiroshi

  Hydrospheric Atmospheric Research Center, Nagoya University

• Terao Toru

  Faculty Of Informatics Osaka Gakuin University

• Islamm M

  Saarc Meteorological Res. Centre

• Islam Md.

  Department Of Advanced Materials Science And Engineering Yamaguchi University

• Hayashi Taiichi

  Dpri Kyoto University

• Hayashi Taiichi

  Disaster Prevention Research Institute Kyoto University

• ISLAM A.

  Institute of Water and Flood Management, Bangladesh University of Engineering & Technology

• ISLAM Md.

  秋田県立大学生物資源科学部

• Uyeda Hiroshi

  Hydrospheric Atmospheric Research Center Nagoya University

• Uyeda Hiroshi

  Hyarc Nagoya University

• Uyeda H

  Hydrospheric Atmospheric Research Center Nagoya University

• Islam A.

  Institute Of Water And Flood Management Bangladesh University Of Engineering & Technology

• Uyeda Hiroshi

  Hydrosphenc Atmospheric Research Center, Nagoya University

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