CROSSING THE “VALLEY OF DEATH”: Lessons Learned from Implementing an Operational Satellite-Based Flood Forecasting System
More than a decade ago, a National Research Council (NRC) report popularized the term “valley of death” to describe the region where research on weather satellites had struggled to reach maturity for societal applications. A similar analogy can be drawn for other satellite missions, since their vant...
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creator | Hossain, Faisal Siddique-E-Akbor, A. H. M. Yigzaw, Wondmagegn Shah-Newaz, Sardar Hossain, Monowar Mazumder, Liton Chandra Ahmed, Tanvir Shum, C. K. Lee, Hyongki Biancamaria, Sylvain Turk, Francis J. Limaye, Ashutosh |
description | More than a decade ago, a National Research Council (NRC) report popularized the term “valley of death” to describe the region where research on weather satellites had struggled to reach maturity for societal applications. A similar analogy can be drawn for other satellite missions, since their vantage point in space can be highly useful for some of the world's otherwise fundamentally intractable operational problems. One such intractable problem is flood forecasting for downstream nations where the f looding is transboundary. Bangladesh fits in this category by virtue of its small size and location at the sink of the mighty Ganges and Brahmaputra. There has been the claim made that satellites can be a solution for Bangladesh in achieving forecasts with lead times beyond three days. This claim has been backed up by scientific research done by numerous researchers, who have shown proof of concept of using satellite data for extending flood forecasting range. This article aims to take the reader on a journey that had its humble beginnings with this promising research and ended with making the dream of an operational system that is independently owned by the stakeholders a reality. The idea behind this article is to shed light on some of the commonly experienced but less familiar (in the academic community) roadblocks to making an operational system based on recent research survive in developing nations without long-term incubation. |
doi_str_mv | 10.1175/BAMS-D-13-00176.1 |
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H. M. ; Yigzaw, Wondmagegn ; Shah-Newaz, Sardar ; Hossain, Monowar ; Mazumder, Liton Chandra ; Ahmed, Tanvir ; Shum, C. K. ; Lee, Hyongki ; Biancamaria, Sylvain ; Turk, Francis J. ; Limaye, Ashutosh</creator><creatorcontrib>Hossain, Faisal ; Siddique-E-Akbor, A. H. M. ; Yigzaw, Wondmagegn ; Shah-Newaz, Sardar ; Hossain, Monowar ; Mazumder, Liton Chandra ; Ahmed, Tanvir ; Shum, C. K. ; Lee, Hyongki ; Biancamaria, Sylvain ; Turk, Francis J. ; Limaye, Ashutosh</creatorcontrib><description>More than a decade ago, a National Research Council (NRC) report popularized the term “valley of death” to describe the region where research on weather satellites had struggled to reach maturity for societal applications. A similar analogy can be drawn for other satellite missions, since their vantage point in space can be highly useful for some of the world's otherwise fundamentally intractable operational problems. One such intractable problem is flood forecasting for downstream nations where the f looding is transboundary. Bangladesh fits in this category by virtue of its small size and location at the sink of the mighty Ganges and Brahmaputra. There has been the claim made that satellites can be a solution for Bangladesh in achieving forecasts with lead times beyond three days. This claim has been backed up by scientific research done by numerous researchers, who have shown proof of concept of using satellite data for extending flood forecasting range. This article aims to take the reader on a journey that had its humble beginnings with this promising research and ended with making the dream of an operational system that is independently owned by the stakeholders a reality. The idea behind this article is to shed light on some of the commonly experienced but less familiar (in the academic community) roadblocks to making an operational system based on recent research survive in developing nations without long-term incubation.</description><identifier>ISSN: 0003-0007</identifier><identifier>EISSN: 1520-0477</identifier><identifier>DOI: 10.1175/BAMS-D-13-00176.1</identifier><identifier>CODEN: BAMIAT</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Artificial satellites ; Climate change ; Climate models ; Continental interfaces, environment ; Earth Sciences ; Environmental aspects ; Evaporation ; Flood forecasting ; Flood predictions ; Floods ; Hydrology ; Methods ; Radar altimetry ; River basins ; River water ; Rivers ; Satellite altimetry ; Satellites ; Sciences of the Universe ; Stream discharge ; Stream flow ; Surface water ; United States ; Water balance ; Water bodies ; Weather forecasting</subject><ispartof>Bulletin of the American Meteorological Society, 2014-08, Vol.95 (8), p.1201-1207</ispartof><rights>2014 American Meteorological Society</rights><rights>COPYRIGHT 2014 American Meteorological Society</rights><rights>Copyright American Meteorological Society Aug 2014</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c544t-8e04338faabaf781f934d40c8d90f25a91dcbada0b3320b3afb963a0ed9edc523</citedby><cites>FETCH-LOGICAL-c544t-8e04338faabaf781f934d40c8d90f25a91dcbada0b3320b3afb963a0ed9edc523</cites><orcidid>0000-0002-6162-0436</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26219395$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26219395$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,803,885,3679,27922,27923,58015,58248</link.rule.ids><backlink>$$Uhttps://hal.science/hal-02137392$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Hossain, Faisal</creatorcontrib><creatorcontrib>Siddique-E-Akbor, A. H. M.</creatorcontrib><creatorcontrib>Yigzaw, Wondmagegn</creatorcontrib><creatorcontrib>Shah-Newaz, Sardar</creatorcontrib><creatorcontrib>Hossain, Monowar</creatorcontrib><creatorcontrib>Mazumder, Liton Chandra</creatorcontrib><creatorcontrib>Ahmed, Tanvir</creatorcontrib><creatorcontrib>Shum, C. K.</creatorcontrib><creatorcontrib>Lee, Hyongki</creatorcontrib><creatorcontrib>Biancamaria, Sylvain</creatorcontrib><creatorcontrib>Turk, Francis J.</creatorcontrib><creatorcontrib>Limaye, Ashutosh</creatorcontrib><title>CROSSING THE “VALLEY OF DEATH”: Lessons Learned from Implementing an Operational Satellite-Based Flood Forecasting System</title><title>Bulletin of the American Meteorological Society</title><description>More than a decade ago, a National Research Council (NRC) report popularized the term “valley of death” to describe the region where research on weather satellites had struggled to reach maturity for societal applications. A similar analogy can be drawn for other satellite missions, since their vantage point in space can be highly useful for some of the world's otherwise fundamentally intractable operational problems. One such intractable problem is flood forecasting for downstream nations where the f looding is transboundary. Bangladesh fits in this category by virtue of its small size and location at the sink of the mighty Ganges and Brahmaputra. There has been the claim made that satellites can be a solution for Bangladesh in achieving forecasts with lead times beyond three days. This claim has been backed up by scientific research done by numerous researchers, who have shown proof of concept of using satellite data for extending flood forecasting range. This article aims to take the reader on a journey that had its humble beginnings with this promising research and ended with making the dream of an operational system that is independently owned by the stakeholders a reality. The idea behind this article is to shed light on some of the commonly experienced but less familiar (in the academic community) roadblocks to making an operational system based on recent research survive in developing nations without long-term incubation.</description><subject>Artificial satellites</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Continental interfaces, environment</subject><subject>Earth Sciences</subject><subject>Environmental aspects</subject><subject>Evaporation</subject><subject>Flood forecasting</subject><subject>Flood predictions</subject><subject>Floods</subject><subject>Hydrology</subject><subject>Methods</subject><subject>Radar altimetry</subject><subject>River basins</subject><subject>River water</subject><subject>Rivers</subject><subject>Satellite altimetry</subject><subject>Satellites</subject><subject>Sciences of the Universe</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Surface water</subject><subject>United States</subject><subject>Water balance</subject><subject>Water bodies</subject><subject>Weather forecasting</subject><issn>0003-0007</issn><issn>1520-0477</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptktFu0zAUhi0EEmXwAFwgVXDDLlJ8bCexL7O2WysFKq0FiSvrNLFLqjQZdorY3R5kvNyeBIeioaLKlo98_P2_5KOfkNdARwBp_OEi-7iMJhHwiFJIkxE8IQOIGY2oSNOnZEAp7Z9o-py88H7bX7mEAXk7vl4sl_NPV8PVbDp8uLv_kuX59OtwcTmcTLPV7OHu10vyzGLtzau_9Yx8vpyuxrMoX1zNx1keFbEQXSQNFcHTIq7RphKs4qIUtJClopbFqKAs1lgiXXPOwoF2rRKO1JTKlEXM-Bk5P_h-w1rfuGqH7la3WOlZluu-RxnwlCv2AwL7_sDeuPb73vhO7ypfmLrGxrR7ryGBsKVQIqDv_kO37d414Sca4iRJhJIi-UdtsDa6amzbOSx6U51xmUomhei9ohPUxjTGYd02xlahfcSPTvBhlWZXFScF50eCwHTmZ7fBvfd6vrw-ZuHAFq713hn7ODSgug-F7kOhJxq4_hMK3c_tzUGz9V3rHgUsYaC4ivlvg6is6Q</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Hossain, Faisal</creator><creator>Siddique-E-Akbor, A. 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H. M.</au><au>Yigzaw, Wondmagegn</au><au>Shah-Newaz, Sardar</au><au>Hossain, Monowar</au><au>Mazumder, Liton Chandra</au><au>Ahmed, Tanvir</au><au>Shum, C. K.</au><au>Lee, Hyongki</au><au>Biancamaria, Sylvain</au><au>Turk, Francis J.</au><au>Limaye, Ashutosh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CROSSING THE “VALLEY OF DEATH”: Lessons Learned from Implementing an Operational Satellite-Based Flood Forecasting System</atitle><jtitle>Bulletin of the American Meteorological Society</jtitle><date>2014-08-01</date><risdate>2014</risdate><volume>95</volume><issue>8</issue><spage>1201</spage><epage>1207</epage><pages>1201-1207</pages><issn>0003-0007</issn><eissn>1520-0477</eissn><coden>BAMIAT</coden><abstract>More than a decade ago, a National Research Council (NRC) report popularized the term “valley of death” to describe the region where research on weather satellites had struggled to reach maturity for societal applications. A similar analogy can be drawn for other satellite missions, since their vantage point in space can be highly useful for some of the world's otherwise fundamentally intractable operational problems. One such intractable problem is flood forecasting for downstream nations where the f looding is transboundary. Bangladesh fits in this category by virtue of its small size and location at the sink of the mighty Ganges and Brahmaputra. There has been the claim made that satellites can be a solution for Bangladesh in achieving forecasts with lead times beyond three days. This claim has been backed up by scientific research done by numerous researchers, who have shown proof of concept of using satellite data for extending flood forecasting range. This article aims to take the reader on a journey that had its humble beginnings with this promising research and ended with making the dream of an operational system that is independently owned by the stakeholders a reality. 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subjects | Artificial satellites Climate change Climate models Continental interfaces, environment Earth Sciences Environmental aspects Evaporation Flood forecasting Flood predictions Floods Hydrology Methods Radar altimetry River basins River water Rivers Satellite altimetry Satellites Sciences of the Universe Stream discharge Stream flow Surface water United States Water balance Water bodies Weather forecasting |
title | CROSSING THE “VALLEY OF DEATH”: Lessons Learned from Implementing an Operational Satellite-Based Flood Forecasting System |
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