Improved Passive Microwave Retrievals of Rain Rate over Land and Ocean. Part II: Validation and Intercomparison
A new passive microwave rainfall retrieval algorithm for the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) that relies on an a priori database derived from matchups between TMI brightness temperatures and precipitation radar (PR)-derived surface rain rates has been developed. In...
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| Veröffentlicht in: | Journal of atmospheric and oceanic technology 2013-11, Vol.30 (11), p.2509-2526 |
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| creator | Petty, Grant W Li, Ke |
| description | A new passive microwave rainfall retrieval algorithm for the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) that relies on an a priori database derived from matchups between TMI brightness temperatures and precipitation radar (PR)-derived surface rain rates has been developed. In addition to implementing a fairly conventional Bayesian approach to precipitation estimation, it exploits a dimensional reduction technique designed to increase the effective sample density in the database and also to improve the detectability of precipitation over problem surface types. The details of the algorithm itself are described in a companion paper. In this paper, the algorithm is validated against independent PR-TMI matchups from calendar year 2002. The validation results are benchmarked against results obtained for the same scenes from the current standard (version 7) 2A12 rainfall product for TRMM. |
| doi_str_mv | 10.1175/JTECH-D-12-00184.1 |
| format | Article |
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In this paper, the algorithm is validated against independent PR-TMI matchups from calendar year 2002. The validation results are benchmarked against results obtained for the same scenes from the current standard (version 7) 2A12 rainfall product for TRMM.</description><identifier>ISSN: 0739-0572</identifier><identifier>EISSN: 1520-0426</identifier><identifier>DOI: 10.1175/JTECH-D-12-00184.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Algorithms ; Annual precipitation ; Annual rainfall ; Atmospheric precipitations ; Atmospheric sciences ; Bayesian analysis ; Bias ; Brightness temperature ; Coefficients ; Correlation coefficient ; Correlation coefficients ; Density ; Energy consumption ; Error reduction ; Intercomparison ; Marine ; Microwaves ; Observatories ; Oceans ; Precipitation ; Precipitation estimation ; Probability theory ; Radar ; Rain ; Rainfall ; Rainfall measurement ; Retrieval ; Satellites ; Series & special reports ; Skin temperature ; Statistical methods ; TRMM satellite ; Tropical rainfall ; Tropical Rainfall Measuring Mission (TRMM) ; Variables</subject><ispartof>Journal of atmospheric and oceanic technology, 2013-11, Vol.30 (11), p.2509-2526</ispartof><rights>Copyright American Meteorological Society Nov 2013</rights><rights>Copyright American Meteorological Society 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-381d318070c88dce4dfede43142f63d8c8904f996cef7e06f999e4b67bbc910c3</citedby><cites>FETCH-LOGICAL-c413t-381d318070c88dce4dfede43142f63d8c8904f996cef7e06f999e4b67bbc910c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids></links><search><creatorcontrib>Petty, Grant W</creatorcontrib><creatorcontrib>Li, Ke</creatorcontrib><title>Improved Passive Microwave Retrievals of Rain Rate over Land and Ocean. Part II: Validation and Intercomparison</title><title>Journal of atmospheric and oceanic technology</title><description>A new passive microwave rainfall retrieval algorithm for the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) that relies on an a priori database derived from matchups between TMI brightness temperatures and precipitation radar (PR)-derived surface rain rates has been developed. In addition to implementing a fairly conventional Bayesian approach to precipitation estimation, it exploits a dimensional reduction technique designed to increase the effective sample density in the database and also to improve the detectability of precipitation over problem surface types. The details of the algorithm itself are described in a companion paper. In this paper, the algorithm is validated against independent PR-TMI matchups from calendar year 2002. The validation results are benchmarked against results obtained for the same scenes from the current standard (version 7) 2A12 rainfall product for TRMM.</description><subject>Algorithms</subject><subject>Annual precipitation</subject><subject>Annual rainfall</subject><subject>Atmospheric precipitations</subject><subject>Atmospheric sciences</subject><subject>Bayesian analysis</subject><subject>Bias</subject><subject>Brightness temperature</subject><subject>Coefficients</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Density</subject><subject>Energy consumption</subject><subject>Error reduction</subject><subject>Intercomparison</subject><subject>Marine</subject><subject>Microwaves</subject><subject>Observatories</subject><subject>Oceans</subject><subject>Precipitation</subject><subject>Precipitation estimation</subject><subject>Probability theory</subject><subject>Radar</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall measurement</subject><subject>Retrieval</subject><subject>Satellites</subject><subject>Series & special reports</subject><subject>Skin temperature</subject><subject>Statistical methods</subject><subject>TRMM satellite</subject><subject>Tropical rainfall</subject><subject>Tropical Rainfall Measuring Mission (TRMM)</subject><subject>Variables</subject><issn>0739-0572</issn><issn>1520-0426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkU9PAyEQxYnRxPrnC3gi8eJlKwMsy3ozWnVNjcaoV0LZ2QTTLhW2NX57sXryoIdhXsKPlxkeIUfAxgBVeXr7NLm4KS4L4AVjoOUYtsgISs4KJrnaJiNWibpgZcV3yV5KryxTAtSIhGaxjGGNLX2wKfk10jvvYni3WT3iED2u7TzR0NFH6_t8DEgzHunU9i39qnuHth_n53GgTXNGX-zct3bwod9cN_2A0YXF0kafQn9AdrpsiIc_fZ88X02e8uzT--vm4nxaOAliKISGVoBmFXNatw5l22GLUoDknRKtdrpmsqtr5bCrkKksa5QzVc1mrgbmxD45-fbN272tMA1m4ZPD-dz2GFbJgJJcCM5L-B-VSgvNVKkyevwLfQ2r2OdFDNdccclKrv-islelhChlnSn-TeXvTiliZ5bRL2z8MMDMV6hmE6q5NMDNJlQD4hMmI5NH</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Petty, Grant W</creator><creator>Li, Ke</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20131101</creationdate><title>Improved Passive Microwave Retrievals of Rain Rate over Land and Ocean. Part II: Validation and Intercomparison</title><author>Petty, Grant W ; Li, Ke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-381d318070c88dce4dfede43142f63d8c8904f996cef7e06f999e4b67bbc910c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Annual precipitation</topic><topic>Annual rainfall</topic><topic>Atmospheric precipitations</topic><topic>Atmospheric sciences</topic><topic>Bayesian analysis</topic><topic>Bias</topic><topic>Brightness temperature</topic><topic>Coefficients</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Density</topic><topic>Energy consumption</topic><topic>Error reduction</topic><topic>Intercomparison</topic><topic>Marine</topic><topic>Microwaves</topic><topic>Observatories</topic><topic>Oceans</topic><topic>Precipitation</topic><topic>Precipitation estimation</topic><topic>Probability theory</topic><topic>Radar</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainfall measurement</topic><topic>Retrieval</topic><topic>Satellites</topic><topic>Series & special reports</topic><topic>Skin temperature</topic><topic>Statistical methods</topic><topic>TRMM satellite</topic><topic>Tropical rainfall</topic><topic>Tropical Rainfall Measuring Mission (TRMM)</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Petty, Grant W</creatorcontrib><creatorcontrib>Li, Ke</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of atmospheric and oceanic technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Petty, Grant W</au><au>Li, Ke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved Passive Microwave Retrievals of Rain Rate over Land and Ocean. 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| source | American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Algorithms Annual precipitation Annual rainfall Atmospheric precipitations Atmospheric sciences Bayesian analysis Bias Brightness temperature Coefficients Correlation coefficient Correlation coefficients Density Energy consumption Error reduction Intercomparison Marine Microwaves Observatories Oceans Precipitation Precipitation estimation Probability theory Radar Rain Rainfall Rainfall measurement Retrieval Satellites Series & special reports Skin temperature Statistical methods TRMM satellite Tropical rainfall Tropical Rainfall Measuring Mission (TRMM) Variables |
| title | Improved Passive Microwave Retrievals of Rain Rate over Land and Ocean. Part II: Validation and Intercomparison |
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