Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis
The Polar version 3.1.1 of the Weather Research and Forecasting model (WRF), a high‐resolution regional scale model, is used to simulate conditions for the year December 2006 to November 2007. The goal is to compare model output of near‐surface and tropospheric variables to observational data sets....
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Veröffentlicht in: | Journal of Geophysical Research 2011-06, Vol.116 (D11), p.n/a, Article D11112 |
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description | The Polar version 3.1.1 of the Weather Research and Forecasting model (WRF), a high‐resolution regional scale model, is used to simulate conditions for the year December 2006 to November 2007. The goal is to compare model output of near‐surface and tropospheric variables to observational data sets. The domain mirrors that of the Arctic System Reanalysis (ASR), an assimilation of model fields with Arctic observations being conducted partly by the Polar Meteorology Group of the Byrd Polar Research Center at Ohio State University. A key development in this Polar WRF study is the extension of the seasonal progression of sea ice albedo to the entire Arctic Ocean. The boundary conditions are specified by the NCEP Final global gridded analysis archive (FNL), a 1° × 1° global grid updated every 6 h. The simulations are performed in 48 h increments initialized daily at 0000 UTC, with the first 24 h discarded for model spin‐up of the hydrologic cycle and boundary layer processes. Model large‐scale variables of atmospheric pressure and geopotential height show good agreement with observations. Spatial distribution of near‐surface air temperatures compares well with ERA‐Interim despite a small negative bias in the station analysis. Surface dewpoint temperatures and wind speeds show small biases, but model skill is modest for near‐surface winds. Tropospheric temperatures and wind speeds, however, agree well with radiosonde observations. This examination provides a benchmark from which to improve the model and guidance for further development of Polar WRF as ASR's primary model.
Key Points
Benchmark for development of Polar WRF as ASR's primary model
Polar WRF compares well with near‐surface and tropospheric observations
Extension of the seasonal progression of sea ice albedo to the Arctic Ocean |
doi_str_mv | 10.1029/2010JD015013 |
format | Article |
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Key Points
Benchmark for development of Polar WRF as ASR's primary model
Polar WRF compares well with near‐surface and tropospheric observations
Extension of the seasonal progression of sea ice albedo to the Arctic Ocean</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2010JD015013</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Air analysis ; Air temperature ; Albedo ; Arctic ; Atmospheric sciences ; Boundary conditions ; Boundary layers ; Cryosphere ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Geophysics ; Hydrologic cycle ; Ice ; Marine ; Meteorology ; modeling ; Oceans ; Polar meteorology ; Polar WRF ; Sea ice ; Spatial distribution ; Surface temperature ; Troposphere ; Wind speed ; WRF</subject><ispartof>Journal of Geophysical Research, 2011-06, Vol.116 (D11), p.n/a, Article D11112</ispartof><rights>Copyright 2011 by the American Geophysical Union.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2011 by American Geophysical Union</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4738-c316fe4acbffe61d1fedfe58c4b54fb9f622c1c85d0772085dd925e3b5b527633</citedby><cites>FETCH-LOGICAL-c4738-c316fe4acbffe61d1fedfe58c4b54fb9f622c1c85d0772085dd925e3b5b527633</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%2F2010JD015013$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2010JD015013$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,1428,11495,27905,27906,45555,45556,46390,46449,46814,46873</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25518850$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Wilson, Aaron B.</creatorcontrib><creatorcontrib>Bromwich, David H.</creatorcontrib><creatorcontrib>Hines, Keith M.</creatorcontrib><title>Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis</title><title>Journal of Geophysical Research</title><addtitle>J. Geophys. Res</addtitle><description>The Polar version 3.1.1 of the Weather Research and Forecasting model (WRF), a high‐resolution regional scale model, is used to simulate conditions for the year December 2006 to November 2007. The goal is to compare model output of near‐surface and tropospheric variables to observational data sets. The domain mirrors that of the Arctic System Reanalysis (ASR), an assimilation of model fields with Arctic observations being conducted partly by the Polar Meteorology Group of the Byrd Polar Research Center at Ohio State University. A key development in this Polar WRF study is the extension of the seasonal progression of sea ice albedo to the entire Arctic Ocean. The boundary conditions are specified by the NCEP Final global gridded analysis archive (FNL), a 1° × 1° global grid updated every 6 h. The simulations are performed in 48 h increments initialized daily at 0000 UTC, with the first 24 h discarded for model spin‐up of the hydrologic cycle and boundary layer processes. Model large‐scale variables of atmospheric pressure and geopotential height show good agreement with observations. Spatial distribution of near‐surface air temperatures compares well with ERA‐Interim despite a small negative bias in the station analysis. Surface dewpoint temperatures and wind speeds show small biases, but model skill is modest for near‐surface winds. Tropospheric temperatures and wind speeds, however, agree well with radiosonde observations. This examination provides a benchmark from which to improve the model and guidance for further development of Polar WRF as ASR's primary model.
Key Points
Benchmark for development of Polar WRF as ASR's primary model
Polar WRF compares well with near‐surface and tropospheric observations
Extension of the seasonal progression of sea ice albedo to the Arctic Ocean</description><subject>Air analysis</subject><subject>Air temperature</subject><subject>Albedo</subject><subject>Arctic</subject><subject>Atmospheric sciences</subject><subject>Boundary conditions</subject><subject>Boundary layers</subject><subject>Cryosphere</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Geophysics</subject><subject>Hydrologic cycle</subject><subject>Ice</subject><subject>Marine</subject><subject>Meteorology</subject><subject>modeling</subject><subject>Oceans</subject><subject>Polar meteorology</subject><subject>Polar WRF</subject><subject>Sea ice</subject><subject>Spatial distribution</subject><subject>Surface temperature</subject><subject>Troposphere</subject><subject>Wind speed</subject><subject>WRF</subject><issn>0148-0227</issn><issn>2169-897X</issn><issn>2156-2202</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</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>eNp9kU1rGzEQhkVpoCbJrT9AFAo9dNvR52p7C_lwa0ISnBYfhVYrEaXrlSPttvW_j1KbUHrIwDCHed6XlxmE3hL4RIA2nykQWJwBEUDYKzSjRMiKUqCv0QwIVxVQWr9BxznfQykuJAcyQ3fnv0w_mTHEAUePb2JvEl4tL7CPyVmTx4zLZrxz-CTZMVh8u82jW-OlM4Pptzlk3MW1CcMXfDslb6zDZujwtNm4hE0ovceO0IE3fXbH-3mIflycfz_9Wl1ez7-dnlxWltdMVZYR6R03tvXeSdIR7zrvhLK8Fdy3jZeUWmKV6KCuKZTZNVQ41opW0Foydog-7Hw3KT5MLo96HbJ1fW8GF6esCYBSvGhVQd_9h97HKZW8WTdAZcP5X-jjDrIp5pyc15sU1iZti5N-Orz-9_AFf7_3NNma3icz2JCfNVQIopSAwrEd9zv0bvuip17Ml2dEKv4UptqpQnnCn2eVST-1rFkt9OpqrjlrlrBiN3rBHgEZbZ8w</recordid><startdate>20110609</startdate><enddate>20110609</enddate><creator>Wilson, Aaron B.</creator><creator>Bromwich, David H.</creator><creator>Hines, Keith M.</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><scope>7TN</scope></search><sort><creationdate>20110609</creationdate><title>Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis</title><author>Wilson, Aaron B. ; Bromwich, David H. ; Hines, Keith M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4738-c316fe4acbffe61d1fedfe58c4b54fb9f622c1c85d0772085dd925e3b5b527633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Air analysis</topic><topic>Air temperature</topic><topic>Albedo</topic><topic>Arctic</topic><topic>Atmospheric sciences</topic><topic>Boundary conditions</topic><topic>Boundary layers</topic><topic>Cryosphere</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Geophysics</topic><topic>Hydrologic cycle</topic><topic>Ice</topic><topic>Marine</topic><topic>Meteorology</topic><topic>modeling</topic><topic>Oceans</topic><topic>Polar meteorology</topic><topic>Polar WRF</topic><topic>Sea ice</topic><topic>Spatial distribution</topic><topic>Surface temperature</topic><topic>Troposphere</topic><topic>Wind speed</topic><topic>WRF</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wilson, Aaron B.</creatorcontrib><creatorcontrib>Bromwich, David H.</creatorcontrib><creatorcontrib>Hines, Keith M.</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><collection>Oceanic Abstracts</collection><jtitle>Journal of Geophysical Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wilson, Aaron B.</au><au>Bromwich, David H.</au><au>Hines, Keith M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis</atitle><jtitle>Journal of Geophysical Research</jtitle><addtitle>J. Geophys. Res</addtitle><date>2011-06-09</date><risdate>2011</risdate><volume>116</volume><issue>D11</issue><epage>n/a</epage><artnum>D11112</artnum><issn>0148-0227</issn><issn>2169-897X</issn><eissn>2156-2202</eissn><eissn>2169-8996</eissn><abstract>The Polar version 3.1.1 of the Weather Research and Forecasting model (WRF), a high‐resolution regional scale model, is used to simulate conditions for the year December 2006 to November 2007. The goal is to compare model output of near‐surface and tropospheric variables to observational data sets. The domain mirrors that of the Arctic System Reanalysis (ASR), an assimilation of model fields with Arctic observations being conducted partly by the Polar Meteorology Group of the Byrd Polar Research Center at Ohio State University. A key development in this Polar WRF study is the extension of the seasonal progression of sea ice albedo to the entire Arctic Ocean. The boundary conditions are specified by the NCEP Final global gridded analysis archive (FNL), a 1° × 1° global grid updated every 6 h. The simulations are performed in 48 h increments initialized daily at 0000 UTC, with the first 24 h discarded for model spin‐up of the hydrologic cycle and boundary layer processes. Model large‐scale variables of atmospheric pressure and geopotential height show good agreement with observations. Spatial distribution of near‐surface air temperatures compares well with ERA‐Interim despite a small negative bias in the station analysis. Surface dewpoint temperatures and wind speeds show small biases, but model skill is modest for near‐surface winds. Tropospheric temperatures and wind speeds, however, agree well with radiosonde observations. This examination provides a benchmark from which to improve the model and guidance for further development of Polar WRF as ASR's primary model.
Key Points
Benchmark for development of Polar WRF as ASR's primary model
Polar WRF compares well with near‐surface and tropospheric observations
Extension of the seasonal progression of sea ice albedo to the Arctic Ocean</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2010JD015013</doi><tpages>18</tpages></addata></record> |
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subjects | Air analysis Air temperature Albedo Arctic Atmospheric sciences Boundary conditions Boundary layers Cryosphere Earth sciences Earth, ocean, space Exact sciences and technology Geophysics Hydrologic cycle Ice Marine Meteorology modeling Oceans Polar meteorology Polar WRF Sea ice Spatial distribution Surface temperature Troposphere Wind speed WRF |
title | Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis |
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