Validation of Atmospheric Infrared Sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones
The quality of the retrieved temperature and moisture profiles acquired from the Atmospheric Infrared Sounder (AIRS) aboard the NASA Aqua spacecraft was evaluated by comparing the data with dropsonde observations obtained from NASA African Monsoon Multidisciplinary Analyses (NAMMA 2006) and internat...
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| description | The quality of the retrieved temperature and moisture profiles acquired from the Atmospheric Infrared Sounder (AIRS) aboard the NASA Aqua spacecraft was evaluated by comparing the data with dropsonde observations obtained from NASA African Monsoon Multidisciplinary Analyses (NAMMA 2006) and international THORPEX Pacific Asian Regional Campaign (T‐PARC 2008) field programs. Results indicate that the AIRS retrieved temperature profiles are in good agreement with dropsonde observations. However, the AIRS retrieved moisture profiles show a larger bias compared with the dropsondes over the tropical oceans where tropical cyclones developed. A series of data assimilation experiments is then performed with an advanced research version of the Weather Research and Forecasting model and its three‐dimensional variational data assimilation system. Results show that the assimilation of the AIRS retrieved temperature and moisture profiles has a significant impact on the numerical simulations of tropical cyclones. However, the overall impacts of the data assimilation on numerical simulations of tropical cyclones are very sensitive to the bias corrections of the data. Specifically, the dry biases of moisture profiles cause the decay of Tropical Storm Debby (2006) in the numerical simulations. Only with bias correction can data assimilation result in a reasonable portrayal of storm development. Compared with the moisture profiles, temperature profiles show a larger impact on the track forecasting. Assimilation of the temperature profiles resulted in significant improvements in the track forecasts for both Debby (2006) and Typhoon Jangmi (2008). |
| doi_str_mv | 10.1029/2010JD014258 |
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Results indicate that the AIRS retrieved temperature profiles are in good agreement with dropsonde observations. However, the AIRS retrieved moisture profiles show a larger bias compared with the dropsondes over the tropical oceans where tropical cyclones developed. A series of data assimilation experiments is then performed with an advanced research version of the Weather Research and Forecasting model and its three‐dimensional variational data assimilation system. Results show that the assimilation of the AIRS retrieved temperature and moisture profiles has a significant impact on the numerical simulations of tropical cyclones. However, the overall impacts of the data assimilation on numerical simulations of tropical cyclones are very sensitive to the bias corrections of the data. Specifically, the dry biases of moisture profiles cause the decay of Tropical Storm Debby (2006) in the numerical simulations. Only with bias correction can data assimilation result in a reasonable portrayal of storm development. Compared with the moisture profiles, temperature profiles show a larger impact on the track forecasting. Assimilation of the temperature profiles resulted in significant improvements in the track forecasts for both Debby (2006) and Typhoon Jangmi (2008).</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2010JD014258</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>AIRS ; atmospheric profiles ; Atmospheric sciences ; Bias ; Cyclones ; Data assimilation ; Data collection ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Geophysics ; Meteorology ; Moisture profiles ; Oceans ; Remote sensing ; Simulation ; Spacecraft ; Temperature ; Tropical cyclones ; Typhoons</subject><ispartof>Journal of Geophysical Research: Atmospheres, 2010-12, Vol.115 (D24), p.n/a</ispartof><rights>Copyright 2010 by the American Geophysical Union.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2010 by American Geophysical Union</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4402-6fa5e5173f4b99b221d31cb6d15b26d25a7f527d800697ea2cc57930d6c8c6d03</citedby><cites>FETCH-LOGICAL-c4402-6fa5e5173f4b99b221d31cb6d15b26d25a7f527d800697ea2cc57930d6c8c6d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2010JD014258$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2010JD014258$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,1432,11513,27923,27924,45573,45574,46408,46467,46832,46891</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23783431$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Pu, Zhaoxia</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><title>Validation of Atmospheric Infrared Sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones</title><title>Journal of Geophysical Research: Atmospheres</title><addtitle>J. Geophys. Res</addtitle><description>The quality of the retrieved temperature and moisture profiles acquired from the Atmospheric Infrared Sounder (AIRS) aboard the NASA Aqua spacecraft was evaluated by comparing the data with dropsonde observations obtained from NASA African Monsoon Multidisciplinary Analyses (NAMMA 2006) and international THORPEX Pacific Asian Regional Campaign (T‐PARC 2008) field programs. Results indicate that the AIRS retrieved temperature profiles are in good agreement with dropsonde observations. However, the AIRS retrieved moisture profiles show a larger bias compared with the dropsondes over the tropical oceans where tropical cyclones developed. A series of data assimilation experiments is then performed with an advanced research version of the Weather Research and Forecasting model and its three‐dimensional variational data assimilation system. Results show that the assimilation of the AIRS retrieved temperature and moisture profiles has a significant impact on the numerical simulations of tropical cyclones. However, the overall impacts of the data assimilation on numerical simulations of tropical cyclones are very sensitive to the bias corrections of the data. Specifically, the dry biases of moisture profiles cause the decay of Tropical Storm Debby (2006) in the numerical simulations. Only with bias correction can data assimilation result in a reasonable portrayal of storm development. Compared with the moisture profiles, temperature profiles show a larger impact on the track forecasting. Assimilation of the temperature profiles resulted in significant improvements in the track forecasts for both Debby (2006) and Typhoon Jangmi (2008).</description><subject>AIRS</subject><subject>atmospheric profiles</subject><subject>Atmospheric sciences</subject><subject>Bias</subject><subject>Cyclones</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Geophysics</subject><subject>Meteorology</subject><subject>Moisture profiles</subject><subject>Oceans</subject><subject>Remote sensing</subject><subject>Simulation</subject><subject>Spacecraft</subject><subject>Temperature</subject><subject>Tropical cyclones</subject><subject>Typhoons</subject><issn>0148-0227</issn><issn>2169-897X</issn><issn>2156-2202</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</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>eNp9kd9uFCEUxidGEze1dz4A0XjnKBwGGC6bVne7NjWx_rkkLDApdQamMKPu2_iosrvNxhvlhkB-3_nOd05VPSf4DcEg3wImeH2BSQOsfVQtgDBeA2B4XC3KZ1tjAPG0Os35DpfTMN5gsqh-f9W9t3ryMaDYobNpiHm8dckbdBm6pJOz6CbOwbqEJjeMLulpTg7pYNEQfd4_xhQ737uM4o8dluLoje5RNE6HvEenW-cT8sOozYSKVZiHnUeBsh_mfu-fdw0cxWZr-hhcflY96XSf3enDfVJ9ef_u8_mqvvq4vDw_u6pN02CoeaeZY0TQrtlIuQEglhKz4ZawDXALTIuOgbAtxlwKp8EYJiTFlpvWcIvpSfXiULeEuZ9dntRdnFMolkoSkKyVXBTo5b8g0jLZcEqpLNTrA2VSzDm5To3JDzptFcFqtyv1964K_uqhqM4leRl6MD4fNUBFSxtKCkcP3M8y6-1_a6r18tMF4YxCUdUHVdmV-3VU6fRdlUCCqW_XS0VuVusPKwnqmv4Bil2zcw</recordid><startdate>20101227</startdate><enddate>20101227</enddate><creator>Pu, Zhaoxia</creator><creator>Zhang, Lei</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</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>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M2O</scope><scope>M7S</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>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20101227</creationdate><title>Validation of Atmospheric Infrared Sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones</title><author>Pu, Zhaoxia ; Zhang, Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4402-6fa5e5173f4b99b221d31cb6d15b26d25a7f527d800697ea2cc57930d6c8c6d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>AIRS</topic><topic>atmospheric profiles</topic><topic>Atmospheric sciences</topic><topic>Bias</topic><topic>Cyclones</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Geophysics</topic><topic>Meteorology</topic><topic>Moisture profiles</topic><topic>Oceans</topic><topic>Remote sensing</topic><topic>Simulation</topic><topic>Spacecraft</topic><topic>Temperature</topic><topic>Tropical cyclones</topic><topic>Typhoons</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pu, Zhaoxia</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</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>Engineering Research Database</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>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Research Library</collection><collection>Engineering 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of Geophysical Research: Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pu, Zhaoxia</au><au>Zhang, Lei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of Atmospheric Infrared Sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones</atitle><jtitle>Journal of Geophysical Research: Atmospheres</jtitle><addtitle>J. Geophys. Res</addtitle><date>2010-12-27</date><risdate>2010</risdate><volume>115</volume><issue>D24</issue><epage>n/a</epage><issn>0148-0227</issn><issn>2169-897X</issn><eissn>2156-2202</eissn><eissn>2169-8996</eissn><abstract>The quality of the retrieved temperature and moisture profiles acquired from the Atmospheric Infrared Sounder (AIRS) aboard the NASA Aqua spacecraft was evaluated by comparing the data with dropsonde observations obtained from NASA African Monsoon Multidisciplinary Analyses (NAMMA 2006) and international THORPEX Pacific Asian Regional Campaign (T‐PARC 2008) field programs. Results indicate that the AIRS retrieved temperature profiles are in good agreement with dropsonde observations. However, the AIRS retrieved moisture profiles show a larger bias compared with the dropsondes over the tropical oceans where tropical cyclones developed. A series of data assimilation experiments is then performed with an advanced research version of the Weather Research and Forecasting model and its three‐dimensional variational data assimilation system. Results show that the assimilation of the AIRS retrieved temperature and moisture profiles has a significant impact on the numerical simulations of tropical cyclones. However, the overall impacts of the data assimilation on numerical simulations of tropical cyclones are very sensitive to the bias corrections of the data. Specifically, the dry biases of moisture profiles cause the decay of Tropical Storm Debby (2006) in the numerical simulations. Only with bias correction can data assimilation result in a reasonable portrayal of storm development. Compared with the moisture profiles, temperature profiles show a larger impact on the track forecasting. Assimilation of the temperature profiles resulted in significant improvements in the track forecasts for both Debby (2006) and Typhoon Jangmi (2008).</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2010JD014258</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | AIRS atmospheric profiles Atmospheric sciences Bias Cyclones Data assimilation Data collection Earth sciences Earth, ocean, space Exact sciences and technology Geophysics Meteorology Moisture profiles Oceans Remote sensing Simulation Spacecraft Temperature Tropical cyclones Typhoons |
| title | Validation of Atmospheric Infrared Sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones |
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