Linearization of a simplified planetary boundary layer parameterization
This study examines the linearization properties of a simplified planetary boundary layer parameterization based on the vertical diffusion equations, in which the exchange coefficients are a function of the local Richardson number and wind shear. Spurious noise, associated with this parameterization...
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Veröffentlicht in: | Monthly weather review 2002-08, Vol.130 (8), p.2074-2087 |
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description | This study examines the linearization properties of a simplified planetary boundary layer parameterization based on the vertical diffusion equations, in which the exchange coefficients are a function of the local Richardson number and wind shear. Spurious noise, associated with this parameterization, develops near the surface in the tangent linear integrations. The origin of this problem is investigated by examining the accuracy of the linearization and the numerical stability of the scheme used to discretize the vertical diffusion equations. The noise is primarily due to the linearization of the exchange coefficients when the atmospheric state is near neutral static stability and when a long time step is employed. A regularization procedure based on the linearization error and a criterion for the numerical stability is proposed and tested. This regularization is compared with those recently adopted by Mahfouf, who neglects the perturbations of the exchange coefficients, and by Janiskova et al., who reduce the amplitude of those perturbations when the Richardson number is in the vicinity of zero. When the sizes of the atmospheric state perturbations are 1 m/s for the winds and 1 K for the temperature, which is the typical size of analysis increments, regularizations proposed here and by Janiskova et al. perform similarly and are slightly better than neglecting the perturbations of the exchange coefficients. On the other hand, when the state perturbations are much smaller (e.g., 3 orders of magnitude smaller), the linearization becomes accurate and a regularization is no longer necessary, as long as the time step is short enough to avoid numerical instability. In this case, the regularization proposed here becomes inactive while the others introduce unnecessary errors. |
doi_str_mv | 10.1175/1520-0493(2002)130<2074:LOASPB>2.0.CO;2 |
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Spurious noise, associated with this parameterization, develops near the surface in the tangent linear integrations. The origin of this problem is investigated by examining the accuracy of the linearization and the numerical stability of the scheme used to discretize the vertical diffusion equations. The noise is primarily due to the linearization of the exchange coefficients when the atmospheric state is near neutral static stability and when a long time step is employed. A regularization procedure based on the linearization error and a criterion for the numerical stability is proposed and tested. This regularization is compared with those recently adopted by Mahfouf, who neglects the perturbations of the exchange coefficients, and by Janiskova et al., who reduce the amplitude of those perturbations when the Richardson number is in the vicinity of zero. When the sizes of the atmospheric state perturbations are 1 m/s for the winds and 1 K for the temperature, which is the typical size of analysis increments, regularizations proposed here and by Janiskova et al. perform similarly and are slightly better than neglecting the perturbations of the exchange coefficients. On the other hand, when the state perturbations are much smaller (e.g., 3 orders of magnitude smaller), the linearization becomes accurate and a regularization is no longer necessary, as long as the time step is short enough to avoid numerical instability. In this case, the regularization proposed here becomes inactive while the others introduce unnecessary errors.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/1520-0493(2002)130<2074:LOASPB>2.0.CO;2</identifier><identifier>CODEN: MWREAB</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Boundary layers ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Geophysics. Techniques, methods, instrumentation and models</subject><ispartof>Monthly weather review, 2002-08, Vol.130 (8), p.2074-2087</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright American Meteorological Society Aug 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c401t-af27eb70d9d4c5e29787667b89215de1c1f101bdc4a70755ff4d7f87695a8da53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,3668,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13765328$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>LAROCHE, Stéphane</creatorcontrib><creatorcontrib>TANGUAY, Monique</creatorcontrib><creatorcontrib>DELAGE, Yves</creatorcontrib><title>Linearization of a simplified planetary boundary layer parameterization</title><title>Monthly weather review</title><description>This study examines the linearization properties of a simplified planetary boundary layer parameterization based on the vertical diffusion equations, in which the exchange coefficients are a function of the local Richardson number and wind shear. Spurious noise, associated with this parameterization, develops near the surface in the tangent linear integrations. The origin of this problem is investigated by examining the accuracy of the linearization and the numerical stability of the scheme used to discretize the vertical diffusion equations. The noise is primarily due to the linearization of the exchange coefficients when the atmospheric state is near neutral static stability and when a long time step is employed. A regularization procedure based on the linearization error and a criterion for the numerical stability is proposed and tested. This regularization is compared with those recently adopted by Mahfouf, who neglects the perturbations of the exchange coefficients, and by Janiskova et al., who reduce the amplitude of those perturbations when the Richardson number is in the vicinity of zero. When the sizes of the atmospheric state perturbations are 1 m/s for the winds and 1 K for the temperature, which is the typical size of analysis increments, regularizations proposed here and by Janiskova et al. perform similarly and are slightly better than neglecting the perturbations of the exchange coefficients. On the other hand, when the state perturbations are much smaller (e.g., 3 orders of magnitude smaller), the linearization becomes accurate and a regularization is no longer necessary, as long as the time step is short enough to avoid numerical instability. In this case, the regularization proposed here becomes inactive while the others introduce unnecessary errors.</description><subject>Boundary layers</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Geophysics. 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Techniques, methods, instrumentation and models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LAROCHE, Stéphane</creatorcontrib><creatorcontrib>TANGUAY, Monique</creatorcontrib><creatorcontrib>DELAGE, Yves</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</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 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>eLibrary</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>Monthly weather review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LAROCHE, Stéphane</au><au>TANGUAY, Monique</au><au>DELAGE, Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Linearization of a simplified planetary boundary layer parameterization</atitle><jtitle>Monthly weather review</jtitle><date>2002-08-01</date><risdate>2002</risdate><volume>130</volume><issue>8</issue><spage>2074</spage><epage>2087</epage><pages>2074-2087</pages><issn>0027-0644</issn><eissn>1520-0493</eissn><coden>MWREAB</coden><abstract>This study examines the linearization properties of a simplified planetary boundary layer parameterization based on the vertical diffusion equations, in which the exchange coefficients are a function of the local Richardson number and wind shear. Spurious noise, associated with this parameterization, develops near the surface in the tangent linear integrations. The origin of this problem is investigated by examining the accuracy of the linearization and the numerical stability of the scheme used to discretize the vertical diffusion equations. The noise is primarily due to the linearization of the exchange coefficients when the atmospheric state is near neutral static stability and when a long time step is employed. A regularization procedure based on the linearization error and a criterion for the numerical stability is proposed and tested. This regularization is compared with those recently adopted by Mahfouf, who neglects the perturbations of the exchange coefficients, and by Janiskova et al., who reduce the amplitude of those perturbations when the Richardson number is in the vicinity of zero. When the sizes of the atmospheric state perturbations are 1 m/s for the winds and 1 K for the temperature, which is the typical size of analysis increments, regularizations proposed here and by Janiskova et al. perform similarly and are slightly better than neglecting the perturbations of the exchange coefficients. On the other hand, when the state perturbations are much smaller (e.g., 3 orders of magnitude smaller), the linearization becomes accurate and a regularization is no longer necessary, as long as the time step is short enough to avoid numerical instability. In this case, the regularization proposed here becomes inactive while the others introduce unnecessary errors.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/1520-0493(2002)130<2074:LOASPB>2.0.CO;2</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Boundary layers Earth, ocean, space Exact sciences and technology External geophysics Geophysics. Techniques, methods, instrumentation and models |
title | Linearization of a simplified planetary boundary layer parameterization |
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