Cloud ice: A climate model challenge with signs and expectations of progress

Present‐day shortcomings in the representation of upper tropospheric ice clouds in general circulation models (GCMs) lead to errors in weather and climate forecasts as well as account for a source of uncertainty in climate change projections. An ongoing challenge in rectifying these shortcomings has...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of Geophysical Research: Atmospheres 2009-04, Vol.114 (D8), p.n/a
Hauptverfasser: Waliser, Duane E., Li, Jui-Lin F., Woods, Christopher P., Austin, Richard T., Bacmeister, Julio, Chern, Jiundar, Del Genio, Anthony, Jiang, Jonathan H., Kuang, Zhiming, Meng, Huan, Minnis, Patrick, Platnick, Steve, Rossow, William B., Stephens, Graeme L., Sun-Mack, Szedung, Tao, Wei-Kuo, Tompkins, Adrian M., Vane, Deborah G., Walker, Christopher, Wu, Dong
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue D8
container_start_page
container_title Journal of Geophysical Research: Atmospheres
container_volume 114
creator Waliser, Duane E.
Li, Jui-Lin F.
Woods, Christopher P.
Austin, Richard T.
Bacmeister, Julio
Chern, Jiundar
Del Genio, Anthony
Jiang, Jonathan H.
Kuang, Zhiming
Meng, Huan
Minnis, Patrick
Platnick, Steve
Rossow, William B.
Stephens, Graeme L.
Sun-Mack, Szedung
Tao, Wei-Kuo
Tompkins, Adrian M.
Vane, Deborah G.
Walker, Christopher
Wu, Dong
description Present‐day shortcomings in the representation of upper tropospheric ice clouds in general circulation models (GCMs) lead to errors in weather and climate forecasts as well as account for a source of uncertainty in climate change projections. An ongoing challenge in rectifying these shortcomings has been the availability of adequate, high‐quality, global observations targeting ice clouds and related precipitating hydrometeors. In addition, the inadequacy of the modeled physics and the often disjointed nature between model representation and the characteristics of the retrieved/observed values have hampered GCM development and validation efforts from making effective use of the measurements that have been available. Thus, even though parameterizations in GCMs accounting for cloud ice processes have, in some cases, become more sophisticated in recent years, this development has largely occurred independently of the global‐scale measurements. With the relatively recent addition of satellite‐derived products from Aura/Microwave Limb Sounder (MLS) and CloudSat, there are now considerably more resources with new and unique capabilities to evaluate GCMs. In this article, we illustrate the shortcomings evident in model representations of cloud ice through a comparison of the simulations assessed in the Intergovernmental Panel on Climate Change Fourth Assessment Report, briefly discuss the range of global observational resources that are available, and describe the essential components of the model parameterizations that characterize their “cloud” ice and related fields. Using this information as background, we (1) discuss some of the main considerations and cautions that must be taken into account in making model‐data comparisons related to cloud ice, (2) illustrate present progress and uncertainties in applying satellite cloud ice (namely from MLS and CloudSat) to model diagnosis, (3) show some indications of model improvements, and finally (4) discuss a number of remaining questions and suggestions for pathways forward.
doi_str_mv 10.1029/2008JD010015
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_21017252</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1730081636</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4621-b20aec0736f50041bc1dd2230b6145e602872006951800f2b479e9ab81302bcd3</originalsourceid><addsrcrecordid>eNp9kU1P20AQhleolYiAGz9gT4hDDTOz9q7TW5qUAIqoQK3a22q9Hge3mzj1OgL-PYuCqp4yl5FGzzsf7whxinCBQONLAihvZ4AAWByIEWGhMyKgD2IEmJcZEJlDcRLjb0iRFzoHHInFNHTbWraeP8uJ9KFduYHlqqs5SP_oQuD1kuVTOzzK2C7XUbp1Lfl5w35wQ9ulQtfITd8te47xWHxsXIh88p6PxI-rr9-n19ni2_xmOllkPteEWUXg2INRuinSJlh5rGsiBZXGvGANVJp0jR4XWAI0VOVmzGNXlaiAKl-rI3G265sG_91yHOyqjZ5DcGvuttESAhoqKIHne0E0KrmGWumEftqhvu9i7Lmxmz6Z0b9YBPtmsP3f4ISrHf7UBn7Zy9rb-cMsfQAxqbKdqo0DP_9Tuf6P1UaZwv68m9u7-y-_zOx-Zh_UKw-PiG8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1730081636</pqid></control><display><type>article</type><title>Cloud ice: A climate model challenge with signs and expectations of progress</title><source>Wiley Free Content</source><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Alma/SFX Local Collection</source><creator>Waliser, Duane E. ; Li, Jui-Lin F. ; Woods, Christopher P. ; Austin, Richard T. ; Bacmeister, Julio ; Chern, Jiundar ; Del Genio, Anthony ; Jiang, Jonathan H. ; Kuang, Zhiming ; Meng, Huan ; Minnis, Patrick ; Platnick, Steve ; Rossow, William B. ; Stephens, Graeme L. ; Sun-Mack, Szedung ; Tao, Wei-Kuo ; Tompkins, Adrian M. ; Vane, Deborah G. ; Walker, Christopher ; Wu, Dong</creator><creatorcontrib>Waliser, Duane E. ; Li, Jui-Lin F. ; Woods, Christopher P. ; Austin, Richard T. ; Bacmeister, Julio ; Chern, Jiundar ; Del Genio, Anthony ; Jiang, Jonathan H. ; Kuang, Zhiming ; Meng, Huan ; Minnis, Patrick ; Platnick, Steve ; Rossow, William B. ; Stephens, Graeme L. ; Sun-Mack, Szedung ; Tao, Wei-Kuo ; Tompkins, Adrian M. ; Vane, Deborah G. ; Walker, Christopher ; Wu, Dong</creatorcontrib><description>Present‐day shortcomings in the representation of upper tropospheric ice clouds in general circulation models (GCMs) lead to errors in weather and climate forecasts as well as account for a source of uncertainty in climate change projections. An ongoing challenge in rectifying these shortcomings has been the availability of adequate, high‐quality, global observations targeting ice clouds and related precipitating hydrometeors. In addition, the inadequacy of the modeled physics and the often disjointed nature between model representation and the characteristics of the retrieved/observed values have hampered GCM development and validation efforts from making effective use of the measurements that have been available. Thus, even though parameterizations in GCMs accounting for cloud ice processes have, in some cases, become more sophisticated in recent years, this development has largely occurred independently of the global‐scale measurements. With the relatively recent addition of satellite‐derived products from Aura/Microwave Limb Sounder (MLS) and CloudSat, there are now considerably more resources with new and unique capabilities to evaluate GCMs. In this article, we illustrate the shortcomings evident in model representations of cloud ice through a comparison of the simulations assessed in the Intergovernmental Panel on Climate Change Fourth Assessment Report, briefly discuss the range of global observational resources that are available, and describe the essential components of the model parameterizations that characterize their “cloud” ice and related fields. Using this information as background, we (1) discuss some of the main considerations and cautions that must be taken into account in making model‐data comparisons related to cloud ice, (2) illustrate present progress and uncertainties in applying satellite cloud ice (namely from MLS and CloudSat) to model diagnosis, (3) show some indications of model improvements, and finally (4) discuss a number of remaining questions and suggestions for pathways forward.</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2008JD010015</identifier><language>eng</language><publisher>Blackwell Publishing Ltd</publisher><subject>Assessments ; Climate change ; Clouds ; CloudSat ; Ice clouds ; Mathematical models ; Parametrization ; Representations ; Uncertainty</subject><ispartof>Journal of Geophysical Research: Atmospheres, 2009-04, Vol.114 (D8), p.n/a</ispartof><rights>Copyright 2009 by the American Geophysical Union.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4621-b20aec0736f50041bc1dd2230b6145e602872006951800f2b479e9ab81302bcd3</citedby><cites>FETCH-LOGICAL-c4621-b20aec0736f50041bc1dd2230b6145e602872006951800f2b479e9ab81302bcd3</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%2F2008JD010015$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2008JD010015$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids></links><search><creatorcontrib>Waliser, Duane E.</creatorcontrib><creatorcontrib>Li, Jui-Lin F.</creatorcontrib><creatorcontrib>Woods, Christopher P.</creatorcontrib><creatorcontrib>Austin, Richard T.</creatorcontrib><creatorcontrib>Bacmeister, Julio</creatorcontrib><creatorcontrib>Chern, Jiundar</creatorcontrib><creatorcontrib>Del Genio, Anthony</creatorcontrib><creatorcontrib>Jiang, Jonathan H.</creatorcontrib><creatorcontrib>Kuang, Zhiming</creatorcontrib><creatorcontrib>Meng, Huan</creatorcontrib><creatorcontrib>Minnis, Patrick</creatorcontrib><creatorcontrib>Platnick, Steve</creatorcontrib><creatorcontrib>Rossow, William B.</creatorcontrib><creatorcontrib>Stephens, Graeme L.</creatorcontrib><creatorcontrib>Sun-Mack, Szedung</creatorcontrib><creatorcontrib>Tao, Wei-Kuo</creatorcontrib><creatorcontrib>Tompkins, Adrian M.</creatorcontrib><creatorcontrib>Vane, Deborah G.</creatorcontrib><creatorcontrib>Walker, Christopher</creatorcontrib><creatorcontrib>Wu, Dong</creatorcontrib><title>Cloud ice: A climate model challenge with signs and expectations of progress</title><title>Journal of Geophysical Research: Atmospheres</title><addtitle>J. Geophys. Res</addtitle><description>Present‐day shortcomings in the representation of upper tropospheric ice clouds in general circulation models (GCMs) lead to errors in weather and climate forecasts as well as account for a source of uncertainty in climate change projections. An ongoing challenge in rectifying these shortcomings has been the availability of adequate, high‐quality, global observations targeting ice clouds and related precipitating hydrometeors. In addition, the inadequacy of the modeled physics and the often disjointed nature between model representation and the characteristics of the retrieved/observed values have hampered GCM development and validation efforts from making effective use of the measurements that have been available. Thus, even though parameterizations in GCMs accounting for cloud ice processes have, in some cases, become more sophisticated in recent years, this development has largely occurred independently of the global‐scale measurements. With the relatively recent addition of satellite‐derived products from Aura/Microwave Limb Sounder (MLS) and CloudSat, there are now considerably more resources with new and unique capabilities to evaluate GCMs. In this article, we illustrate the shortcomings evident in model representations of cloud ice through a comparison of the simulations assessed in the Intergovernmental Panel on Climate Change Fourth Assessment Report, briefly discuss the range of global observational resources that are available, and describe the essential components of the model parameterizations that characterize their “cloud” ice and related fields. Using this information as background, we (1) discuss some of the main considerations and cautions that must be taken into account in making model‐data comparisons related to cloud ice, (2) illustrate present progress and uncertainties in applying satellite cloud ice (namely from MLS and CloudSat) to model diagnosis, (3) show some indications of model improvements, and finally (4) discuss a number of remaining questions and suggestions for pathways forward.</description><subject>Assessments</subject><subject>Climate change</subject><subject>Clouds</subject><subject>CloudSat</subject><subject>Ice clouds</subject><subject>Mathematical models</subject><subject>Parametrization</subject><subject>Representations</subject><subject>Uncertainty</subject><issn>0148-0227</issn><issn>2169-897X</issn><issn>2156-2202</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kU1P20AQhleolYiAGz9gT4hDDTOz9q7TW5qUAIqoQK3a22q9Hge3mzj1OgL-PYuCqp4yl5FGzzsf7whxinCBQONLAihvZ4AAWByIEWGhMyKgD2IEmJcZEJlDcRLjb0iRFzoHHInFNHTbWraeP8uJ9KFduYHlqqs5SP_oQuD1kuVTOzzK2C7XUbp1Lfl5w35wQ9ulQtfITd8te47xWHxsXIh88p6PxI-rr9-n19ni2_xmOllkPteEWUXg2INRuinSJlh5rGsiBZXGvGANVJp0jR4XWAI0VOVmzGNXlaiAKl-rI3G265sG_91yHOyqjZ5DcGvuttESAhoqKIHne0E0KrmGWumEftqhvu9i7Lmxmz6Z0b9YBPtmsP3f4ISrHf7UBn7Zy9rb-cMsfQAxqbKdqo0DP_9Tuf6P1UaZwv68m9u7-y-_zOx-Zh_UKw-PiG8</recordid><startdate>20090427</startdate><enddate>20090427</enddate><creator>Waliser, Duane E.</creator><creator>Li, Jui-Lin F.</creator><creator>Woods, Christopher P.</creator><creator>Austin, Richard T.</creator><creator>Bacmeister, Julio</creator><creator>Chern, Jiundar</creator><creator>Del Genio, Anthony</creator><creator>Jiang, Jonathan H.</creator><creator>Kuang, Zhiming</creator><creator>Meng, Huan</creator><creator>Minnis, Patrick</creator><creator>Platnick, Steve</creator><creator>Rossow, William B.</creator><creator>Stephens, Graeme L.</creator><creator>Sun-Mack, Szedung</creator><creator>Tao, Wei-Kuo</creator><creator>Tompkins, Adrian M.</creator><creator>Vane, Deborah G.</creator><creator>Walker, Christopher</creator><creator>Wu, Dong</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>KL.</scope></search><sort><creationdate>20090427</creationdate><title>Cloud ice: A climate model challenge with signs and expectations of progress</title><author>Waliser, Duane E. ; Li, Jui-Lin F. ; Woods, Christopher P. ; Austin, Richard T. ; Bacmeister, Julio ; Chern, Jiundar ; Del Genio, Anthony ; Jiang, Jonathan H. ; Kuang, Zhiming ; Meng, Huan ; Minnis, Patrick ; Platnick, Steve ; Rossow, William B. ; Stephens, Graeme L. ; Sun-Mack, Szedung ; Tao, Wei-Kuo ; Tompkins, Adrian M. ; Vane, Deborah G. ; Walker, Christopher ; Wu, Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4621-b20aec0736f50041bc1dd2230b6145e602872006951800f2b479e9ab81302bcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Assessments</topic><topic>Climate change</topic><topic>Clouds</topic><topic>CloudSat</topic><topic>Ice clouds</topic><topic>Mathematical models</topic><topic>Parametrization</topic><topic>Representations</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Waliser, Duane E.</creatorcontrib><creatorcontrib>Li, Jui-Lin F.</creatorcontrib><creatorcontrib>Woods, Christopher P.</creatorcontrib><creatorcontrib>Austin, Richard T.</creatorcontrib><creatorcontrib>Bacmeister, Julio</creatorcontrib><creatorcontrib>Chern, Jiundar</creatorcontrib><creatorcontrib>Del Genio, Anthony</creatorcontrib><creatorcontrib>Jiang, Jonathan H.</creatorcontrib><creatorcontrib>Kuang, Zhiming</creatorcontrib><creatorcontrib>Meng, Huan</creatorcontrib><creatorcontrib>Minnis, Patrick</creatorcontrib><creatorcontrib>Platnick, Steve</creatorcontrib><creatorcontrib>Rossow, William B.</creatorcontrib><creatorcontrib>Stephens, Graeme L.</creatorcontrib><creatorcontrib>Sun-Mack, Szedung</creatorcontrib><creatorcontrib>Tao, Wei-Kuo</creatorcontrib><creatorcontrib>Tompkins, Adrian M.</creatorcontrib><creatorcontrib>Vane, Deborah G.</creatorcontrib><creatorcontrib>Walker, Christopher</creatorcontrib><creatorcontrib>Wu, Dong</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><jtitle>Journal of Geophysical Research: Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Waliser, Duane E.</au><au>Li, Jui-Lin F.</au><au>Woods, Christopher P.</au><au>Austin, Richard T.</au><au>Bacmeister, Julio</au><au>Chern, Jiundar</au><au>Del Genio, Anthony</au><au>Jiang, Jonathan H.</au><au>Kuang, Zhiming</au><au>Meng, Huan</au><au>Minnis, Patrick</au><au>Platnick, Steve</au><au>Rossow, William B.</au><au>Stephens, Graeme L.</au><au>Sun-Mack, Szedung</au><au>Tao, Wei-Kuo</au><au>Tompkins, Adrian M.</au><au>Vane, Deborah G.</au><au>Walker, Christopher</au><au>Wu, Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cloud ice: A climate model challenge with signs and expectations of progress</atitle><jtitle>Journal of Geophysical Research: Atmospheres</jtitle><addtitle>J. Geophys. Res</addtitle><date>2009-04-27</date><risdate>2009</risdate><volume>114</volume><issue>D8</issue><epage>n/a</epage><issn>0148-0227</issn><issn>2169-897X</issn><eissn>2156-2202</eissn><eissn>2169-8996</eissn><abstract>Present‐day shortcomings in the representation of upper tropospheric ice clouds in general circulation models (GCMs) lead to errors in weather and climate forecasts as well as account for a source of uncertainty in climate change projections. An ongoing challenge in rectifying these shortcomings has been the availability of adequate, high‐quality, global observations targeting ice clouds and related precipitating hydrometeors. In addition, the inadequacy of the modeled physics and the often disjointed nature between model representation and the characteristics of the retrieved/observed values have hampered GCM development and validation efforts from making effective use of the measurements that have been available. Thus, even though parameterizations in GCMs accounting for cloud ice processes have, in some cases, become more sophisticated in recent years, this development has largely occurred independently of the global‐scale measurements. With the relatively recent addition of satellite‐derived products from Aura/Microwave Limb Sounder (MLS) and CloudSat, there are now considerably more resources with new and unique capabilities to evaluate GCMs. In this article, we illustrate the shortcomings evident in model representations of cloud ice through a comparison of the simulations assessed in the Intergovernmental Panel on Climate Change Fourth Assessment Report, briefly discuss the range of global observational resources that are available, and describe the essential components of the model parameterizations that characterize their “cloud” ice and related fields. Using this information as background, we (1) discuss some of the main considerations and cautions that must be taken into account in making model‐data comparisons related to cloud ice, (2) illustrate present progress and uncertainties in applying satellite cloud ice (namely from MLS and CloudSat) to model diagnosis, (3) show some indications of model improvements, and finally (4) discuss a number of remaining questions and suggestions for pathways forward.</abstract><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2008JD010015</doi><tpages>27</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0148-0227
ispartof Journal of Geophysical Research: Atmospheres, 2009-04, Vol.114 (D8), p.n/a
issn 0148-0227
2169-897X
2156-2202
2169-8996
language eng
recordid cdi_proquest_miscellaneous_21017252
source Wiley Free Content; Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection
subjects Assessments
Climate change
Clouds
CloudSat
Ice clouds
Mathematical models
Parametrization
Representations
Uncertainty
title Cloud ice: A climate model challenge with signs and expectations of progress
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T01%3A27%3A31IST&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=Cloud%20ice:%20A%20climate%20model%20challenge%20with%20signs%20and%20expectations%20of%20progress&rft.jtitle=Journal%20of%20Geophysical%20Research:%20Atmospheres&rft.au=Waliser,%20Duane%20E.&rft.date=2009-04-27&rft.volume=114&rft.issue=D8&rft.epage=n/a&rft.issn=0148-0227&rft.eissn=2156-2202&rft_id=info:doi/10.1029/2008JD010015&rft_dat=%3Cproquest_cross%3E1730081636%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=1730081636&rft_id=info:pmid/&rfr_iscdi=true