{"title":"采用一种技术从孟加拉国的卫星数据估计降雨量","authors":"Md. Nazrul Islam, Cm Wahid","doi":"10.4038/SLJP.V4I0.188","DOIUrl":null,"url":null,"abstract":"st1\\:*{behavior:url(#ieooui) } \n /* Style Definitions */ \n table.MsoNormalTable \n {mso-style-name:\"Table Normal\"; \n mso-tstyle-rowband-size:0; \n mso-tstyle-colband-size:0; \n mso-style-noshow:yes; \n mso-style-parent:\"\"; \n mso-padding-alt:0cm 5.4pt 0cm 5.4pt; \n mso-para-margin:0cm; \n mso-para-margin-bottom:.0001pt; \n mso-pagination:widow-orphan; \n font-size:10.0pt; \n font-family:\"Times New Roman\"; \n mso-ansi-language:#0400; \n mso-fareast-language:#0400; \n mso-bidi-language:#0400;} \n In order to estimate rainfall from satellite data GMS (Geo-stationary Meteorological Satellite) Precipitation Index (GPI) was calculated for northeastern part (Sylhet) of Bangladesh. GPI was calibrated with ground-based raingauge rainfall. As was found, GPI underestimated i.e., raingauge rainfall overestimated for a few stations. Then GPI was adapted as Adjusted GMS Precipitation Index (AGPI). Satisfactory results were found using AGPI in estimating rainfall from satellite data. As expected, the raingauge rainfall was found about 68% of AGPI. doi:10.4038/sljp.v4i0.188 Sri Lankan Journal of Physics, Vol.4 (2003) 1-9","PeriodicalId":21880,"journal":{"name":"Sri Lankan Journal of Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adaptation of a technique to estimate rainfall from satellite data in Bangladesh\",\"authors\":\"Md. Nazrul Islam, Cm Wahid\",\"doi\":\"10.4038/SLJP.V4I0.188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"st1\\\\:*{behavior:url(#ieooui) } \\n /* Style Definitions */ \\n table.MsoNormalTable \\n {mso-style-name:\\\"Table Normal\\\"; \\n mso-tstyle-rowband-size:0; \\n mso-tstyle-colband-size:0; \\n mso-style-noshow:yes; \\n mso-style-parent:\\\"\\\"; \\n mso-padding-alt:0cm 5.4pt 0cm 5.4pt; \\n mso-para-margin:0cm; \\n mso-para-margin-bottom:.0001pt; \\n mso-pagination:widow-orphan; \\n font-size:10.0pt; \\n font-family:\\\"Times New Roman\\\"; \\n mso-ansi-language:#0400; \\n mso-fareast-language:#0400; \\n mso-bidi-language:#0400;} \\n In order to estimate rainfall from satellite data GMS (Geo-stationary Meteorological Satellite) Precipitation Index (GPI) was calculated for northeastern part (Sylhet) of Bangladesh. GPI was calibrated with ground-based raingauge rainfall. As was found, GPI underestimated i.e., raingauge rainfall overestimated for a few stations. Then GPI was adapted as Adjusted GMS Precipitation Index (AGPI). Satisfactory results were found using AGPI in estimating rainfall from satellite data. As expected, the raingauge rainfall was found about 68% of AGPI. doi:10.4038/sljp.v4i0.188 Sri Lankan Journal of Physics, Vol.4 (2003) 1-9\",\"PeriodicalId\":21880,\"journal\":{\"name\":\"Sri Lankan Journal of Physics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sri Lankan Journal of Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4038/SLJP.V4I0.188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sri Lankan Journal of Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4038/SLJP.V4I0.188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptation of a technique to estimate rainfall from satellite data in Bangladesh
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In order to estimate rainfall from satellite data GMS (Geo-stationary Meteorological Satellite) Precipitation Index (GPI) was calculated for northeastern part (Sylhet) of Bangladesh. GPI was calibrated with ground-based raingauge rainfall. As was found, GPI underestimated i.e., raingauge rainfall overestimated for a few stations. Then GPI was adapted as Adjusted GMS Precipitation Index (AGPI). Satisfactory results were found using AGPI in estimating rainfall from satellite data. As expected, the raingauge rainfall was found about 68% of AGPI. doi:10.4038/sljp.v4i0.188 Sri Lankan Journal of Physics, Vol.4 (2003) 1-9
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