Evaluation of Doppler weather radar MEGHA‐2700 observations using Gematronik Doppler weather radar and TRMM Precipitation Radar
ABSTRACT As a part of the MEGHA‐2700 validation after programme, Doppler weather radar (DWR) at Sriharikota (13.66 ° N, 80.23 ° E) is validated with the Chennai (13.07 ° N, 80.28 ° E DWR) (hereafter CHENNAI‐DWR) and simultaneous observations along with Tropical Rainfall Measuring Mission (TRMM) Prec...
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| Veröffentlicht in: | Meteorological applications 2016-07, Vol.23 (3), p.470-476 |
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| creator | Subrahmanyam, K. Venkata Kishore Kumar, Karanam Kiran Kumar, N. V. P. Viswanathan, G. |
| description | ABSTRACT
As a part of the MEGHA‐2700 validation after programme, Doppler weather radar (DWR) at Sriharikota (13.66 ° N, 80.23 ° E) is validated with the Chennai (13.07 ° N, 80.28 ° E DWR) (hereafter CHENNAI‐DWR) and simultaneous observations along with Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) measurements. Many simultaneous observations of weather systems were carried out using these two DWRs with an aim of validating the MEGHA‐2700. During this validation period, a tropical cyclone ‘OGNI’ formed in the Bay of Bengal on 28 October 2006. Simultaneous observations from these two radars are used for the present study along with TRMM‐PR measurements. A methodology is developed to interpolate two ground radars and PR volume scans into a fixed Cartesian grid box because the common volume observations minimize uncertainties associated with the sampling volumes and viewing angles. It is observed that MEGHA‐2700 systematically underestimates CHENNAI‐DWR reflectivity by ∼6.23 dB. The rainfall estimations from MEGHA‐2700 show that the bias adjustment reduces the total rainfall differences significantly between radar estimates and rain gauges. The significance of the present study lies in validating the indigenously developed DWR, which will form the basis for further research on cloud microphysics. |
| doi_str_mv | 10.1002/met.1571 |
| format | Article |
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As a part of the MEGHA‐2700 validation after programme, Doppler weather radar (DWR) at Sriharikota (13.66 ° N, 80.23 ° E) is validated with the Chennai (13.07 ° N, 80.28 ° E DWR) (hereafter CHENNAI‐DWR) and simultaneous observations along with Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) measurements. Many simultaneous observations of weather systems were carried out using these two DWRs with an aim of validating the MEGHA‐2700. During this validation period, a tropical cyclone ‘OGNI’ formed in the Bay of Bengal on 28 October 2006. Simultaneous observations from these two radars are used for the present study along with TRMM‐PR measurements. A methodology is developed to interpolate two ground radars and PR volume scans into a fixed Cartesian grid box because the common volume observations minimize uncertainties associated with the sampling volumes and viewing angles. It is observed that MEGHA‐2700 systematically underestimates CHENNAI‐DWR reflectivity by ∼6.23 dB. The rainfall estimations from MEGHA‐2700 show that the bias adjustment reduces the total rainfall differences significantly between radar estimates and rain gauges. The significance of the present study lies in validating the indigenously developed DWR, which will form the basis for further research on cloud microphysics.</description><identifier>ISSN: 1350-4827</identifier><identifier>EISSN: 1469-8080</identifier><identifier>DOI: 10.1002/met.1571</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Doppler weather radar ; hydro‐meteorology ; rainfall ; remote sensing ; TRMM</subject><ispartof>Meteorological applications, 2016-07, Vol.23 (3), p.470-476</ispartof><rights>2016 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Subrahmanyam, K. Venkata</creatorcontrib><creatorcontrib>Kishore Kumar, Karanam</creatorcontrib><creatorcontrib>Kiran Kumar, N. V. P.</creatorcontrib><creatorcontrib>Viswanathan, G.</creatorcontrib><title>Evaluation of Doppler weather radar MEGHA‐2700 observations using Gematronik Doppler weather radar and TRMM Precipitation Radar</title><title>Meteorological applications</title><description>ABSTRACT
As a part of the MEGHA‐2700 validation after programme, Doppler weather radar (DWR) at Sriharikota (13.66 ° N, 80.23 ° E) is validated with the Chennai (13.07 ° N, 80.28 ° E DWR) (hereafter CHENNAI‐DWR) and simultaneous observations along with Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) measurements. Many simultaneous observations of weather systems were carried out using these two DWRs with an aim of validating the MEGHA‐2700. During this validation period, a tropical cyclone ‘OGNI’ formed in the Bay of Bengal on 28 October 2006. Simultaneous observations from these two radars are used for the present study along with TRMM‐PR measurements. A methodology is developed to interpolate two ground radars and PR volume scans into a fixed Cartesian grid box because the common volume observations minimize uncertainties associated with the sampling volumes and viewing angles. It is observed that MEGHA‐2700 systematically underestimates CHENNAI‐DWR reflectivity by ∼6.23 dB. The rainfall estimations from MEGHA‐2700 show that the bias adjustment reduces the total rainfall differences significantly between radar estimates and rain gauges. The significance of the present study lies in validating the indigenously developed DWR, which will form the basis for further research on cloud microphysics.</description><subject>Doppler weather radar</subject><subject>hydro‐meteorology</subject><subject>rainfall</subject><subject>remote sensing</subject><subject>TRMM</subject><issn>1350-4827</issn><issn>1469-8080</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kc9Kw0AQxoMoWKvgIyx48ZI6s5s_m2OpsRValFLPYZPdaGr-uZu09KZv4DP6JG6tJ8HTNzC_-WaYz3EuEUYIQG8q1Y3QD_HIGaAXRC4HDse2Zj64HqfhqXNmzBoAGSIOnI94I8pedEVTkyYnt03blkqTrRLdi1UtpNBkEU9n46_3TxoCkCY1Sm9-JgzpTVE_k6mqRKebunj9x0DUkqyWiwV51Cor2qI7LFzum-fOSS5Koy5-deg83cWrycydP0zvJ-O521LO0c2ZH8lA0VQEMhMCqMqBRSqTGQ1lKFOR8yiSHgQ8lz54qQV8mWbIUoqMK2RD5_rg2-rmrVemS6rCZKosRa2a3iTIESPA0KcWvfqDrpte1_Y6S0EAnv0Ds5R7oLZFqXZJq4tK6F2CkOyDSGwQyT6IZBGv9sq-AV3GfqQ</recordid><startdate>201607</startdate><enddate>201607</enddate><creator>Subrahmanyam, K. Venkata</creator><creator>Kishore Kumar, Karanam</creator><creator>Kiran Kumar, N. V. P.</creator><creator>Viswanathan, G.</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley & Sons, Inc</general><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>201607</creationdate><title>Evaluation of Doppler weather radar MEGHA‐2700 observations using Gematronik Doppler weather radar and TRMM Precipitation Radar</title><author>Subrahmanyam, K. Venkata ; Kishore Kumar, Karanam ; Kiran Kumar, N. V. P. ; Viswanathan, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2881-f359d6e2ba6dcaa02ef039ecdc27d7dbaf899d4068fd504b02e5dbc13b2138e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Doppler weather radar</topic><topic>hydro‐meteorology</topic><topic>rainfall</topic><topic>remote sensing</topic><topic>TRMM</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Subrahmanyam, K. Venkata</creatorcontrib><creatorcontrib>Kishore Kumar, Karanam</creatorcontrib><creatorcontrib>Kiran Kumar, N. V. P.</creatorcontrib><creatorcontrib>Viswanathan, G.</creatorcontrib><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><jtitle>Meteorological applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Subrahmanyam, K. Venkata</au><au>Kishore Kumar, Karanam</au><au>Kiran Kumar, N. V. P.</au><au>Viswanathan, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Doppler weather radar MEGHA‐2700 observations using Gematronik Doppler weather radar and TRMM Precipitation Radar</atitle><jtitle>Meteorological applications</jtitle><date>2016-07</date><risdate>2016</risdate><volume>23</volume><issue>3</issue><spage>470</spage><epage>476</epage><pages>470-476</pages><issn>1350-4827</issn><eissn>1469-8080</eissn><abstract>ABSTRACT
As a part of the MEGHA‐2700 validation after programme, Doppler weather radar (DWR) at Sriharikota (13.66 ° N, 80.23 ° E) is validated with the Chennai (13.07 ° N, 80.28 ° E DWR) (hereafter CHENNAI‐DWR) and simultaneous observations along with Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) measurements. Many simultaneous observations of weather systems were carried out using these two DWRs with an aim of validating the MEGHA‐2700. During this validation period, a tropical cyclone ‘OGNI’ formed in the Bay of Bengal on 28 October 2006. Simultaneous observations from these two radars are used for the present study along with TRMM‐PR measurements. A methodology is developed to interpolate two ground radars and PR volume scans into a fixed Cartesian grid box because the common volume observations minimize uncertainties associated with the sampling volumes and viewing angles. It is observed that MEGHA‐2700 systematically underestimates CHENNAI‐DWR reflectivity by ∼6.23 dB. The rainfall estimations from MEGHA‐2700 show that the bias adjustment reduces the total rainfall differences significantly between radar estimates and rain gauges. The significance of the present study lies in validating the indigenously developed DWR, which will form the basis for further research on cloud microphysics.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/met.1571</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Meteorological applications, 2016-07, Vol.23 (3), p.470-476 |
| issn | 1350-4827 1469-8080 |
| language | eng |
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| source | Alma/SFX Local Collection; EZB Electronic Journals Library |
| subjects | Doppler weather radar hydro‐meteorology rainfall remote sensing TRMM |
| title | Evaluation of Doppler weather radar MEGHA‐2700 observations using Gematronik Doppler weather radar and TRMM Precipitation Radar |
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