Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability
A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cu...
Gespeichert in:
Veröffentlicht in: | Journal of the atmospheric sciences 2001-05, Vol.58 (9), p.1117-1128 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1128 |
---|---|
container_issue | 9 |
container_start_page | 1117 |
container_title | Journal of the atmospheric sciences |
container_volume | 58 |
creator | LARSON, Vincent E WOOD, Robert FIELD, Paul R GOLAZ, Jean-Christophe HAAR, Thomas H COTTON, William R |
description | A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cumulative effects. Several types of biases are discussed in this paper. |
doi_str_mv | 10.1175/1520-0469(2001)058<1117:SBITMA>2.0.CO;2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_34532937</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>18508283</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-2e94dd5d866e1532745239d8ad88effd6bc53f619485f3765f0431aa12a60df83</originalsourceid><addsrcrecordid>eNqFkV1LHDEUhkNR6Lr2PwSRYi9mPfmcjJaCXVoVlL3QXofsJNHIfGyTmcL8-2ZYKdIbcxM458l7yHkQOiewIqQU50RQKIDL6owCkC8g1FeSGxcP328f76--0RWs1ptL-gEt_pEHaAFAacErqj6io5ReIB9akgWKD1MaXGuGUONtMMklHDo8PDvchjr2u-cphTph09m5GNveTp1p51LvcTe2LobaNDjXXZMyYgYcnro-OpzG7VMMtki57_AfE4PZhiYM0zE69KZJ7tPrvUS_fv54XN8Ud5vr2_XVXVFzRoaCuopbK6yS0hHBaMkFZZVVxirlvLdyWwvmJam4Ep6VUnjI74wh1EiwXrEl-rzP3cX-9-jSoNuQatc0pnP9mDTjObVi5bsgBSk5K99PJEqAoopl8OQ_8KUfY5d_qymTohQV4xm63kN5zylF5_UuhtbESRPQs2o9C9SzQD2r1lm1nlXrvWpNNej1Jicu0enrODNv20fT1SG9iYMSqGR_AfSnrTk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>236575934</pqid></control><display><type>article</type><title>Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability</title><source>American Meteorological Society</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>LARSON, Vincent E ; WOOD, Robert ; FIELD, Paul R ; GOLAZ, Jean-Christophe ; HAAR, Thomas H ; COTTON, William R</creator><creatorcontrib>LARSON, Vincent E ; WOOD, Robert ; FIELD, Paul R ; GOLAZ, Jean-Christophe ; HAAR, Thomas H ; COTTON, William R</creatorcontrib><description>A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cumulative effects. Several types of biases are discussed in this paper.</description><identifier>ISSN: 0022-4928</identifier><identifier>EISSN: 1520-0469</identifier><identifier>DOI: 10.1175/1520-0469(2001)058<1117:SBITMA>2.0.CO;2</identifier><identifier>CODEN: JAHSAK</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Atmosphere ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Geophysics. Techniques, methods, instrumentation and models ; Mathematical models ; Physics ; Thermodynamics ; Variables</subject><ispartof>Journal of the atmospheric sciences, 2001-05, Vol.58 (9), p.1117-1128</ispartof><rights>2001 INIST-CNRS</rights><rights>Copyright American Meteorological Society May 1, 2001</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3679,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1007026$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>LARSON, Vincent E</creatorcontrib><creatorcontrib>WOOD, Robert</creatorcontrib><creatorcontrib>FIELD, Paul R</creatorcontrib><creatorcontrib>GOLAZ, Jean-Christophe</creatorcontrib><creatorcontrib>HAAR, Thomas H</creatorcontrib><creatorcontrib>COTTON, William R</creatorcontrib><title>Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability</title><title>Journal of the atmospheric sciences</title><description>A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cumulative effects. Several types of biases are discussed in this paper.</description><subject>Atmosphere</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Geophysics. Techniques, methods, instrumentation and models</subject><subject>Mathematical models</subject><subject>Physics</subject><subject>Thermodynamics</subject><subject>Variables</subject><issn>0022-4928</issn><issn>1520-0469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkV1LHDEUhkNR6Lr2PwSRYi9mPfmcjJaCXVoVlL3QXofsJNHIfGyTmcL8-2ZYKdIbcxM458l7yHkQOiewIqQU50RQKIDL6owCkC8g1FeSGxcP328f76--0RWs1ptL-gEt_pEHaAFAacErqj6io5ReIB9akgWKD1MaXGuGUONtMMklHDo8PDvchjr2u-cphTph09m5GNveTp1p51LvcTe2LobaNDjXXZMyYgYcnro-OpzG7VMMtki57_AfE4PZhiYM0zE69KZJ7tPrvUS_fv54XN8Ud5vr2_XVXVFzRoaCuopbK6yS0hHBaMkFZZVVxirlvLdyWwvmJam4Ep6VUnjI74wh1EiwXrEl-rzP3cX-9-jSoNuQatc0pnP9mDTjObVi5bsgBSk5K99PJEqAoopl8OQ_8KUfY5d_qymTohQV4xm63kN5zylF5_UuhtbESRPQs2o9C9SzQD2r1lm1nlXrvWpNNej1Jicu0enrODNv20fT1SG9iYMSqGR_AfSnrTk</recordid><startdate>20010501</startdate><enddate>20010501</enddate><creator>LARSON, Vincent E</creator><creator>WOOD, Robert</creator><creator>FIELD, Paul R</creator><creator>GOLAZ, Jean-Christophe</creator><creator>HAAR, Thomas H</creator><creator>COTTON, William R</creator><general>American Meteorological Society</general><scope>IQODW</scope><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>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</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>R05</scope><scope>S0X</scope></search><sort><creationdate>20010501</creationdate><title>Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability</title><author>LARSON, Vincent E ; WOOD, Robert ; FIELD, Paul R ; GOLAZ, Jean-Christophe ; HAAR, Thomas H ; COTTON, William R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-2e94dd5d866e1532745239d8ad88effd6bc53f619485f3765f0431aa12a60df83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Atmosphere</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><topic>Mathematical models</topic><topic>Physics</topic><topic>Thermodynamics</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LARSON, Vincent E</creatorcontrib><creatorcontrib>WOOD, Robert</creatorcontrib><creatorcontrib>FIELD, Paul R</creatorcontrib><creatorcontrib>GOLAZ, Jean-Christophe</creatorcontrib><creatorcontrib>HAAR, Thomas H</creatorcontrib><creatorcontrib>COTTON, William R</creatorcontrib><collection>Pascal-Francis</collection><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 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>University of Michigan</collection><collection>SIRS Editorial</collection><jtitle>Journal of the atmospheric sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LARSON, Vincent E</au><au>WOOD, Robert</au><au>FIELD, Paul R</au><au>GOLAZ, Jean-Christophe</au><au>HAAR, Thomas H</au><au>COTTON, William R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability</atitle><jtitle>Journal of the atmospheric sciences</jtitle><date>2001-05-01</date><risdate>2001</risdate><volume>58</volume><issue>9</issue><spage>1117</spage><epage>1128</epage><pages>1117-1128</pages><issn>0022-4928</issn><eissn>1520-0469</eissn><coden>JAHSAK</coden><abstract>A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cumulative effects. Several types of biases are discussed in this paper.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/1520-0469(2001)058<1117:SBITMA>2.0.CO;2</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-4928 |
ispartof | Journal of the atmospheric sciences, 2001-05, Vol.58 (9), p.1117-1128 |
issn | 0022-4928 1520-0469 |
language | eng |
recordid | cdi_proquest_miscellaneous_34532937 |
source | American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Atmosphere Earth, ocean, space Exact sciences and technology External geophysics Geophysics. Techniques, methods, instrumentation and models Mathematical models Physics Thermodynamics Variables |
title | Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T12%3A57%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Systematic%20biases%20in%20the%20microphysics%20and%20thermodynamics%20of%20numerical%20models%20that%20ignore%20subgrid-scale%20variability&rft.jtitle=Journal%20of%20the%20atmospheric%20sciences&rft.au=LARSON,%20Vincent%20E&rft.date=2001-05-01&rft.volume=58&rft.issue=9&rft.spage=1117&rft.epage=1128&rft.pages=1117-1128&rft.issn=0022-4928&rft.eissn=1520-0469&rft.coden=JAHSAK&rft_id=info:doi/10.1175/1520-0469(2001)058%3C1117:SBITMA%3E2.0.CO;2&rft_dat=%3Cproquest_cross%3E18508283%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=236575934&rft_id=info:pmid/&rfr_iscdi=true |