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Nowcasting of rain events using multi-frequency radiometric observations
•Microwave radiometric observations are used to nowcast heavy rain events.•Brightness temperatures of 22.24GHz and 58GHz show concurrent change before rain.•Brightness temperature derivatives indicate favorable conditions for imminent rain.•The prediction technique generates alarm 25min before rain...
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Published in: | Journal of hydrology (Amsterdam) 2014-05, Vol.513, p.467-474 |
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container_title | Journal of hydrology (Amsterdam) |
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creator | Chakraborty, Rohit Das, Saurabh Jana, Soumyajyoti Maitra, Animesh |
description | •Microwave radiometric observations are used to nowcast heavy rain events.•Brightness temperatures of 22.24GHz and 58GHz show concurrent change before rain.•Brightness temperature derivatives indicate favorable conditions for imminent rain.•The prediction technique generates alarm 25min before rain for 90% of cases.
Nowcasting of heavy rain events using microwave radiometer has been carried out at Kolkata (22.65°N, 88.45°E), a tropical location. Microwave radiometer can produce the temperature and humidity profiles of the atmosphere with fairly good accuracy. Definite changes are observed in temperature and humidity profiles before and at the onset of heavy rain events. Concurrent changes in the brightness temperatures (BT) at 22GHz and 58GHz are found to be suitable to nowcast rain. The time derivatives of brightness temperatures at 22GHz and 58GHz are used as inputs to the proposed nowcasting model. In addition, the standard deviation of the product of these time derivatives is also considered. The model has been developed using the data of 2011 and validated for rain events of 2012–2013 showing a prediction efficiency of about 90% with alarm generated about 25min in advance. |
doi_str_mv | 10.1016/j.jhydrol.2014.03.066 |
format | article |
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Nowcasting of heavy rain events using microwave radiometer has been carried out at Kolkata (22.65°N, 88.45°E), a tropical location. Microwave radiometer can produce the temperature and humidity profiles of the atmosphere with fairly good accuracy. Definite changes are observed in temperature and humidity profiles before and at the onset of heavy rain events. Concurrent changes in the brightness temperatures (BT) at 22GHz and 58GHz are found to be suitable to nowcast rain. The time derivatives of brightness temperatures at 22GHz and 58GHz are used as inputs to the proposed nowcasting model. In addition, the standard deviation of the product of these time derivatives is also considered. The model has been developed using the data of 2011 and validated for rain events of 2012–2013 showing a prediction efficiency of about 90% with alarm generated about 25min in advance.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2014.03.066</identifier><identifier>CODEN: JHYDA7</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Brightness temperature ; Derivatives ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Humidity ; Hydrology ; Hydrology. Hydrogeology ; Mathematical models ; Microwave radiometers ; Multi-frequency radiometer ; Nowcasting ; Rain ; Standard deviation ; Tropical rain ; Water vapor</subject><ispartof>Journal of hydrology (Amsterdam), 2014-05, Vol.513, p.467-474</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a428t-4784dfbd059d1507f627b9eeab86cda0110bcceaff3ec0d8c76094ddbac6c0c13</citedby><cites>FETCH-LOGICAL-a428t-4784dfbd059d1507f627b9eeab86cda0110bcceaff3ec0d8c76094ddbac6c0c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28513807$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Chakraborty, Rohit</creatorcontrib><creatorcontrib>Das, Saurabh</creatorcontrib><creatorcontrib>Jana, Soumyajyoti</creatorcontrib><creatorcontrib>Maitra, Animesh</creatorcontrib><title>Nowcasting of rain events using multi-frequency radiometric observations</title><title>Journal of hydrology (Amsterdam)</title><description>•Microwave radiometric observations are used to nowcast heavy rain events.•Brightness temperatures of 22.24GHz and 58GHz show concurrent change before rain.•Brightness temperature derivatives indicate favorable conditions for imminent rain.•The prediction technique generates alarm 25min before rain for 90% of cases.
Nowcasting of heavy rain events using microwave radiometer has been carried out at Kolkata (22.65°N, 88.45°E), a tropical location. Microwave radiometer can produce the temperature and humidity profiles of the atmosphere with fairly good accuracy. Definite changes are observed in temperature and humidity profiles before and at the onset of heavy rain events. Concurrent changes in the brightness temperatures (BT) at 22GHz and 58GHz are found to be suitable to nowcast rain. The time derivatives of brightness temperatures at 22GHz and 58GHz are used as inputs to the proposed nowcasting model. In addition, the standard deviation of the product of these time derivatives is also considered. The model has been developed using the data of 2011 and validated for rain events of 2012–2013 showing a prediction efficiency of about 90% with alarm generated about 25min in advance.</description><subject>Brightness temperature</subject><subject>Derivatives</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Humidity</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>Mathematical models</subject><subject>Microwave radiometers</subject><subject>Multi-frequency radiometer</subject><subject>Nowcasting</subject><subject>Rain</subject><subject>Standard deviation</subject><subject>Tropical rain</subject><subject>Water vapor</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LxDAQhoMouK7-BKEXwUvrJG3T9iSy-AWiFz2HdDLRLN1Gk-7K_ntbdvGqcxkYnpl5eRg755Bx4PJqmS0_tib4LhPAiwzyDKQ8YDNeV00qKqgO2QxAiJTLpjhmJzEuYaw8L2bs4dl_o46D698Tb5OgXZ_QhvohJus4DVfrbnCpDfS1ph63I2GcX9EQHCa-jRQ2enC-j6fsyOou0tm-z9nb3e3r4iF9erl_XNw8pboQ9ZAWVV0Y2xooG8NLqKwUVdsQ6baWaDRwDi0iaWtzQjA1VhKawphWo0RAns_Z5e7uZ_BjpDiolYtIXad78uuouCx5XtdNWf0DLYTkpZD5iJY7FIOPMZBVn8GtdNgqDmqSrJZqL1lNkhXkapQ87l3sX-iIurNB9-ji77KopzAwRbnecTSq2TgKKqIbfZJxgXBQxrs_Pv0A6Z-XIQ</recordid><startdate>20140526</startdate><enddate>20140526</enddate><creator>Chakraborty, Rohit</creator><creator>Das, Saurabh</creator><creator>Jana, Soumyajyoti</creator><creator>Maitra, Animesh</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20140526</creationdate><title>Nowcasting of rain events using multi-frequency radiometric observations</title><author>Chakraborty, Rohit ; Das, Saurabh ; Jana, Soumyajyoti ; Maitra, Animesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a428t-4784dfbd059d1507f627b9eeab86cda0110bcceaff3ec0d8c76094ddbac6c0c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Brightness temperature</topic><topic>Derivatives</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Humidity</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>Mathematical models</topic><topic>Microwave radiometers</topic><topic>Multi-frequency radiometer</topic><topic>Nowcasting</topic><topic>Rain</topic><topic>Standard deviation</topic><topic>Tropical rain</topic><topic>Water vapor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chakraborty, Rohit</creatorcontrib><creatorcontrib>Das, Saurabh</creatorcontrib><creatorcontrib>Jana, Soumyajyoti</creatorcontrib><creatorcontrib>Maitra, Animesh</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chakraborty, Rohit</au><au>Das, Saurabh</au><au>Jana, Soumyajyoti</au><au>Maitra, Animesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nowcasting of rain events using multi-frequency radiometric observations</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2014-05-26</date><risdate>2014</risdate><volume>513</volume><spage>467</spage><epage>474</epage><pages>467-474</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><coden>JHYDA7</coden><abstract>•Microwave radiometric observations are used to nowcast heavy rain events.•Brightness temperatures of 22.24GHz and 58GHz show concurrent change before rain.•Brightness temperature derivatives indicate favorable conditions for imminent rain.•The prediction technique generates alarm 25min before rain for 90% of cases.
Nowcasting of heavy rain events using microwave radiometer has been carried out at Kolkata (22.65°N, 88.45°E), a tropical location. Microwave radiometer can produce the temperature and humidity profiles of the atmosphere with fairly good accuracy. Definite changes are observed in temperature and humidity profiles before and at the onset of heavy rain events. Concurrent changes in the brightness temperatures (BT) at 22GHz and 58GHz are found to be suitable to nowcast rain. The time derivatives of brightness temperatures at 22GHz and 58GHz are used as inputs to the proposed nowcasting model. In addition, the standard deviation of the product of these time derivatives is also considered. The model has been developed using the data of 2011 and validated for rain events of 2012–2013 showing a prediction efficiency of about 90% with alarm generated about 25min in advance.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2014.03.066</doi><tpages>8</tpages></addata></record> |
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source | ScienceDirect Journals |
subjects | Brightness temperature Derivatives Earth sciences Earth, ocean, space Exact sciences and technology Humidity Hydrology Hydrology. Hydrogeology Mathematical models Microwave radiometers Multi-frequency radiometer Nowcasting Rain Standard deviation Tropical rain Water vapor |
title | Nowcasting of rain events using multi-frequency radiometric observations |
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