Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis
Planetary boundary layer (PBL) processes control energy, water, and pollutant exchanges between the surface and free atmosphere. However, there is no observation‐based global PBL climatology for evaluation of climate, weather, and air quality models or for characterizing PBL variability on large spa...
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description | Planetary boundary layer (PBL) processes control energy, water, and pollutant exchanges between the surface and free atmosphere. However, there is no observation‐based global PBL climatology for evaluation of climate, weather, and air quality models or for characterizing PBL variability on large space and time scales. As groundwork for such a climatology, we compute PBL height by seven methods, using temperature, potential temperature, virtual potential temperature, relative humidity, specific humidity, and refractivity profiles from a 10 year, 505‐station radiosonde data set. Six methods are directly compared; they generally yield PBL height estimates that differ by several hundred meters. Relative humidity and potential temperature gradient methods consistently give higher PBL heights, whereas the parcel (or mixing height) method yields significantly lower heights that show larger and more consistent diurnal and seasonal variations (with lower nighttime and wintertime PBLs). Seasonal and diurnal patterns are sometimes associated with local climatological phenomena, such as nighttime radiation inversions, the trade inversion, and tropical convection and associated cloudiness. Surface‐based temperature inversions are a distinct type of PBL that is more common at night and in the morning than during midday and afternoon, in polar regions than in the tropics, and in winter than other seasons. PBL height estimates are sensitive to the vertical resolution of radiosonde data; standard sounding data yield higher PBL heights than high‐resolution data. Several sources of both parametric and structural uncertainty in climatological PBL height values are estimated statistically; each can introduce uncertainties of a few 100 m. |
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However, there is no observation‐based global PBL climatology for evaluation of climate, weather, and air quality models or for characterizing PBL variability on large space and time scales. As groundwork for such a climatology, we compute PBL height by seven methods, using temperature, potential temperature, virtual potential temperature, relative humidity, specific humidity, and refractivity profiles from a 10 year, 505‐station radiosonde data set. Six methods are directly compared; they generally yield PBL height estimates that differ by several hundred meters. Relative humidity and potential temperature gradient methods consistently give higher PBL heights, whereas the parcel (or mixing height) method yields significantly lower heights that show larger and more consistent diurnal and seasonal variations (with lower nighttime and wintertime PBLs). Seasonal and diurnal patterns are sometimes associated with local climatological phenomena, such as nighttime radiation inversions, the trade inversion, and tropical convection and associated cloudiness. Surface‐based temperature inversions are a distinct type of PBL that is more common at night and in the morning than during midday and afternoon, in polar regions than in the tropics, and in winter than other seasons. PBL height estimates are sensitive to the vertical resolution of radiosonde data; standard sounding data yield higher PBL heights than high‐resolution data. Several sources of both parametric and structural uncertainty in climatological PBL height values are estimated statistically; each can introduce uncertainties of a few 100 m.</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2009JD013680</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Air quality ; Atmospheric boundary layer ; Atmospheric sciences ; Boundary layers ; Climatology ; Density ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Geophysics ; mixing height ; planetary boundary layer height ; Polar environments ; Pressure ; radiosonde ; Refractivity ; Relative humidity ; Seasonal variations ; Specific humidity ; Surface temperature ; Temperature ; Temperature gradients ; Temperature inversions ; Tropical environments ; Water pollution ; Winter</subject><ispartof>Journal of Geophysical Research: Atmospheres, 2010-08, Vol.115 (D16), 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><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5156-18adedf5b88fe85e3f3d372af1492aa597e76fdfd1d25f0b0006d0663251ef113</citedby><cites>FETCH-LOGICAL-c5156-18adedf5b88fe85e3f3d372af1492aa597e76fdfd1d25f0b0006d0663251ef113</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%2F2009JD013680$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2009JD013680$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23260457$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Seidel, Dian J.</creatorcontrib><creatorcontrib>Ao, Chi O.</creatorcontrib><creatorcontrib>Li, Kun</creatorcontrib><title>Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis</title><title>Journal of Geophysical Research: Atmospheres</title><addtitle>J. Geophys. Res</addtitle><description>Planetary boundary layer (PBL) processes control energy, water, and pollutant exchanges between the surface and free atmosphere. However, there is no observation‐based global PBL climatology for evaluation of climate, weather, and air quality models or for characterizing PBL variability on large space and time scales. As groundwork for such a climatology, we compute PBL height by seven methods, using temperature, potential temperature, virtual potential temperature, relative humidity, specific humidity, and refractivity profiles from a 10 year, 505‐station radiosonde data set. Six methods are directly compared; they generally yield PBL height estimates that differ by several hundred meters. Relative humidity and potential temperature gradient methods consistently give higher PBL heights, whereas the parcel (or mixing height) method yields significantly lower heights that show larger and more consistent diurnal and seasonal variations (with lower nighttime and wintertime PBLs). Seasonal and diurnal patterns are sometimes associated with local climatological phenomena, such as nighttime radiation inversions, the trade inversion, and tropical convection and associated cloudiness. Surface‐based temperature inversions are a distinct type of PBL that is more common at night and in the morning than during midday and afternoon, in polar regions than in the tropics, and in winter than other seasons. PBL height estimates are sensitive to the vertical resolution of radiosonde data; standard sounding data yield higher PBL heights than high‐resolution data. Several sources of both parametric and structural uncertainty in climatological PBL height values are estimated statistically; each can introduce uncertainties of a few 100 m.</description><subject>Air quality</subject><subject>Atmospheric boundary layer</subject><subject>Atmospheric sciences</subject><subject>Boundary layers</subject><subject>Climatology</subject><subject>Density</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Geophysics</subject><subject>mixing height</subject><subject>planetary boundary layer height</subject><subject>Polar environments</subject><subject>Pressure</subject><subject>radiosonde</subject><subject>Refractivity</subject><subject>Relative humidity</subject><subject>Seasonal variations</subject><subject>Specific humidity</subject><subject>Surface temperature</subject><subject>Temperature</subject><subject>Temperature gradients</subject><subject>Temperature inversions</subject><subject>Tropical environments</subject><subject>Water pollution</subject><subject>Winter</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>eNp9kV1rFDEUhoMouKy98wcEQbxx2nxMMjPeybZdW5YKxQ_wJmQnyW7qzGTNyVjnF_i3zbCliBeGQE7Ic17ynhehl5ScUsKaM0ZIc31OKJc1eYIWjApZMEbYU7QgtKwLwlj1HJ0A3JG8SiFLQhfo9wUk3-vkhx1uu7kKXdj5Vnf40OnBJh0nvA3jYOai05ONeG_9bp8Auxh6HLXxAcJgLA5bsPFn1goDvMOr0B909PkJB4d7m_bBANaDwePQ2pi0H9KU77qbwMML9MzpDuzJw7lEny8vPq0-FJuP66vV-03RitkQrbWxxoltXTtbC8sdN7xi2tGyYVqLprKVdMYZaphwZJudSkOk5ExQ6yjlS_TmqHuI4cdoIaneQ2u72WsYQTWEcS4Yn8lX_5B3YYz5u6BqSVhJBK8y9PYItTEAROvUIeYhxklRouZY1N-xZPz1g6aGPGIX9dB6eOxhnMmczCzLj9y97-z0X011vb49p5LnvUTFsctDsr8eu3T8rmTFK6G-3qxVdfmluhGbb-qW_wF8da0e</recordid><startdate>20100827</startdate><enddate>20100827</enddate><creator>Seidel, Dian J.</creator><creator>Ao, Chi O.</creator><creator>Li, Kun</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>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>20100827</creationdate><title>Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis</title><author>Seidel, Dian J. ; Ao, Chi O. ; Li, Kun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5156-18adedf5b88fe85e3f3d372af1492aa597e76fdfd1d25f0b0006d0663251ef113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Air quality</topic><topic>Atmospheric boundary layer</topic><topic>Atmospheric sciences</topic><topic>Boundary layers</topic><topic>Climatology</topic><topic>Density</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Geophysics</topic><topic>mixing height</topic><topic>planetary boundary layer height</topic><topic>Polar environments</topic><topic>Pressure</topic><topic>radiosonde</topic><topic>Refractivity</topic><topic>Relative humidity</topic><topic>Seasonal variations</topic><topic>Specific humidity</topic><topic>Surface temperature</topic><topic>Temperature</topic><topic>Temperature gradients</topic><topic>Temperature inversions</topic><topic>Tropical environments</topic><topic>Water pollution</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seidel, Dian J.</creatorcontrib><creatorcontrib>Ao, Chi O.</creatorcontrib><creatorcontrib>Li, Kun</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 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>Seidel, Dian J.</au><au>Ao, Chi O.</au><au>Li, Kun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis</atitle><jtitle>Journal of Geophysical Research: Atmospheres</jtitle><addtitle>J. Geophys. Res</addtitle><date>2010-08-27</date><risdate>2010</risdate><volume>115</volume><issue>D16</issue><epage>n/a</epage><issn>0148-0227</issn><issn>2169-897X</issn><eissn>2156-2202</eissn><eissn>2169-8996</eissn><abstract>Planetary boundary layer (PBL) processes control energy, water, and pollutant exchanges between the surface and free atmosphere. However, there is no observation‐based global PBL climatology for evaluation of climate, weather, and air quality models or for characterizing PBL variability on large space and time scales. As groundwork for such a climatology, we compute PBL height by seven methods, using temperature, potential temperature, virtual potential temperature, relative humidity, specific humidity, and refractivity profiles from a 10 year, 505‐station radiosonde data set. Six methods are directly compared; they generally yield PBL height estimates that differ by several hundred meters. Relative humidity and potential temperature gradient methods consistently give higher PBL heights, whereas the parcel (or mixing height) method yields significantly lower heights that show larger and more consistent diurnal and seasonal variations (with lower nighttime and wintertime PBLs). Seasonal and diurnal patterns are sometimes associated with local climatological phenomena, such as nighttime radiation inversions, the trade inversion, and tropical convection and associated cloudiness. Surface‐based temperature inversions are a distinct type of PBL that is more common at night and in the morning than during midday and afternoon, in polar regions than in the tropics, and in winter than other seasons. PBL height estimates are sensitive to the vertical resolution of radiosonde data; standard sounding data yield higher PBL heights than high‐resolution data. Several sources of both parametric and structural uncertainty in climatological PBL height values are estimated statistically; each can introduce uncertainties of a few 100 m.</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2009JD013680</doi><tpages>15</tpages></addata></record> |
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subjects | Air quality Atmospheric boundary layer Atmospheric sciences Boundary layers Climatology Density Earth sciences Earth, ocean, space Exact sciences and technology Geophysics mixing height planetary boundary layer height Polar environments Pressure radiosonde Refractivity Relative humidity Seasonal variations Specific humidity Surface temperature Temperature Temperature gradients Temperature inversions Tropical environments Water pollution Winter |
title | Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis |
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