CLOUDNET: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations

The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bulletin of the American Meteorological Society 2007-06, Vol.88 (6), p.883-898
Hauptverfasser: Illingworth, A. J., Hogan, R. J., O’Connor, E. J., Bouniol, D., Brooks, M. E., Delanoë, J., Donovan, D. P., Eastment, J. D., Gaussiat, N., Goddard, J. W. F., Haeffelin, M., Baltink, H. Klein, Krasnov, O. A., Pelon, J., Piriou, J.-M., Protat, A., Russchenberg, H. W. J., Seifert, A., Tompkins, A. M., van Zadelhoff, G.-J., Vinit, F., Willén, U., Wilson, D. R., Wrench, C. L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 898
container_issue 6
container_start_page 883
container_title Bulletin of the American Meteorological Society
container_volume 88
creator Illingworth, A. J.
Hogan, R. J.
O’Connor, E. J.
Bouniol, D.
Brooks, M. E.
Delanoë, J.
Donovan, D. P.
Eastment, J. D.
Gaussiat, N.
Goddard, J. W. F.
Haeffelin, M.
Baltink, H. Klein
Krasnov, O. A.
Pelon, J.
Piriou, J.-M.
Protat, A.
Russchenberg, H. W. J.
Seifert, A.
Tompkins, A. M.
van Zadelhoff, G.-J.
Vinit, F.
Willén, U.
Wilson, D. R.
Wrench, C. L.
description The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi–real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.
doi_str_mv 10.1175/BAMS-88-6-883
format Article
fullrecord <record><control><sourceid>jstor_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00164666v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26216697</jstor_id><sourcerecordid>26216697</sourcerecordid><originalsourceid>FETCH-LOGICAL-c255t-72d69a78851cad56e2ec3415369871459f273a97e9e40b96a899eb0ac600fd73</originalsourceid><addsrcrecordid>eNo9jE1Lw0AURQex0Ni6dOkPcDH63ny8N7OMsVoh2oVxHV6TCbZUKkkR_PemVNycy70crlJXCLeI7O_u85c3HYKmEfZMZegNaHDM5yoDAKtH8FRdDMP2WG3ATE2LcvX-8Lqo5mrSyW5Il385U9XjoiqWulw9PRd5qRvj_UGzaSkKh-CxkdZTMqmxDr2lGBidj51hK5FTTA7WkSTEmNYgDQF0LduZujndfsiu_uo3n9L_1HvZ1Mu8rI8bAJIjom8c3euTux0O-_7fNmSQKLL9BfbuP2A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>CLOUDNET: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations</title><source>Jstor Complete Legacy</source><source>American Meteorological Society</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Illingworth, A. J. ; Hogan, R. J. ; O’Connor, E. J. ; Bouniol, D. ; Brooks, M. E. ; Delanoë, J. ; Donovan, D. P. ; Eastment, J. D. ; Gaussiat, N. ; Goddard, J. W. F. ; Haeffelin, M. ; Baltink, H. Klein ; Krasnov, O. A. ; Pelon, J. ; Piriou, J.-M. ; Protat, A. ; Russchenberg, H. W. J. ; Seifert, A. ; Tompkins, A. M. ; van Zadelhoff, G.-J. ; Vinit, F. ; Willén, U. ; Wilson, D. R. ; Wrench, C. L.</creator><creatorcontrib>Illingworth, A. J. ; Hogan, R. J. ; O’Connor, E. J. ; Bouniol, D. ; Brooks, M. E. ; Delanoë, J. ; Donovan, D. P. ; Eastment, J. D. ; Gaussiat, N. ; Goddard, J. W. F. ; Haeffelin, M. ; Baltink, H. Klein ; Krasnov, O. A. ; Pelon, J. ; Piriou, J.-M. ; Protat, A. ; Russchenberg, H. W. J. ; Seifert, A. ; Tompkins, A. M. ; van Zadelhoff, G.-J. ; Vinit, F. ; Willén, U. ; Wilson, D. R. ; Wrench, C. L.</creatorcontrib><description>The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi–real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.</description><identifier>ISSN: 0003-0007</identifier><identifier>EISSN: 1520-0477</identifier><identifier>DOI: 10.1175/BAMS-88-6-883</identifier><language>eng</language><publisher>American Meteorological Society</publisher><subject>Atmospheric and Oceanic Physics ; Climate models ; Clouds ; Earth Sciences ; Forecasting models ; Ice ; Liquids ; Meteorology ; Moisture content ; Physics ; Radar ; Radar tracking ; Sciences of the Universe ; Weather forecasting</subject><ispartof>Bulletin of the American Meteorological Society, 2007-06, Vol.88 (6), p.883-898</ispartof><rights>2007 American Meteorological Society</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c255t-72d69a78851cad56e2ec3415369871459f273a97e9e40b96a899eb0ac600fd73</citedby><orcidid>0000-0002-8933-874X ; 0000-0003-2348-2383 ; 0000-0001-9020-1719 ; 0000-0002-4426-6594</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26216697$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26216697$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,776,780,799,881,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttps://hal.science/hal-00164666$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Illingworth, A. J.</creatorcontrib><creatorcontrib>Hogan, R. J.</creatorcontrib><creatorcontrib>O’Connor, E. J.</creatorcontrib><creatorcontrib>Bouniol, D.</creatorcontrib><creatorcontrib>Brooks, M. E.</creatorcontrib><creatorcontrib>Delanoë, J.</creatorcontrib><creatorcontrib>Donovan, D. P.</creatorcontrib><creatorcontrib>Eastment, J. D.</creatorcontrib><creatorcontrib>Gaussiat, N.</creatorcontrib><creatorcontrib>Goddard, J. W. F.</creatorcontrib><creatorcontrib>Haeffelin, M.</creatorcontrib><creatorcontrib>Baltink, H. Klein</creatorcontrib><creatorcontrib>Krasnov, O. A.</creatorcontrib><creatorcontrib>Pelon, J.</creatorcontrib><creatorcontrib>Piriou, J.-M.</creatorcontrib><creatorcontrib>Protat, A.</creatorcontrib><creatorcontrib>Russchenberg, H. W. J.</creatorcontrib><creatorcontrib>Seifert, A.</creatorcontrib><creatorcontrib>Tompkins, A. M.</creatorcontrib><creatorcontrib>van Zadelhoff, G.-J.</creatorcontrib><creatorcontrib>Vinit, F.</creatorcontrib><creatorcontrib>Willén, U.</creatorcontrib><creatorcontrib>Wilson, D. R.</creatorcontrib><creatorcontrib>Wrench, C. L.</creatorcontrib><title>CLOUDNET: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations</title><title>Bulletin of the American Meteorological Society</title><description>The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi–real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.</description><subject>Atmospheric and Oceanic Physics</subject><subject>Climate models</subject><subject>Clouds</subject><subject>Earth Sciences</subject><subject>Forecasting models</subject><subject>Ice</subject><subject>Liquids</subject><subject>Meteorology</subject><subject>Moisture content</subject><subject>Physics</subject><subject>Radar</subject><subject>Radar tracking</subject><subject>Sciences of the Universe</subject><subject>Weather forecasting</subject><issn>0003-0007</issn><issn>1520-0477</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNo9jE1Lw0AURQex0Ni6dOkPcDH63ny8N7OMsVoh2oVxHV6TCbZUKkkR_PemVNycy70crlJXCLeI7O_u85c3HYKmEfZMZegNaHDM5yoDAKtH8FRdDMP2WG3ATE2LcvX-8Lqo5mrSyW5Il385U9XjoiqWulw9PRd5qRvj_UGzaSkKh-CxkdZTMqmxDr2lGBidj51hK5FTTA7WkSTEmNYgDQF0LduZujndfsiu_uo3n9L_1HvZ1Mu8rI8bAJIjom8c3euTux0O-_7fNmSQKLL9BfbuP2A</recordid><startdate>20070601</startdate><enddate>20070601</enddate><creator>Illingworth, A. J.</creator><creator>Hogan, R. J.</creator><creator>O’Connor, E. J.</creator><creator>Bouniol, D.</creator><creator>Brooks, M. E.</creator><creator>Delanoë, J.</creator><creator>Donovan, D. P.</creator><creator>Eastment, J. D.</creator><creator>Gaussiat, N.</creator><creator>Goddard, J. W. F.</creator><creator>Haeffelin, M.</creator><creator>Baltink, H. Klein</creator><creator>Krasnov, O. A.</creator><creator>Pelon, J.</creator><creator>Piriou, J.-M.</creator><creator>Protat, A.</creator><creator>Russchenberg, H. W. J.</creator><creator>Seifert, A.</creator><creator>Tompkins, A. M.</creator><creator>van Zadelhoff, G.-J.</creator><creator>Vinit, F.</creator><creator>Willén, U.</creator><creator>Wilson, D. R.</creator><creator>Wrench, C. L.</creator><general>American Meteorological Society</general><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-8933-874X</orcidid><orcidid>https://orcid.org/0000-0003-2348-2383</orcidid><orcidid>https://orcid.org/0000-0001-9020-1719</orcidid><orcidid>https://orcid.org/0000-0002-4426-6594</orcidid></search><sort><creationdate>20070601</creationdate><title>CLOUDNET</title><author>Illingworth, A. J. ; Hogan, R. J. ; O’Connor, E. J. ; Bouniol, D. ; Brooks, M. E. ; Delanoë, J. ; Donovan, D. P. ; Eastment, J. D. ; Gaussiat, N. ; Goddard, J. W. F. ; Haeffelin, M. ; Baltink, H. Klein ; Krasnov, O. A. ; Pelon, J. ; Piriou, J.-M. ; Protat, A. ; Russchenberg, H. W. J. ; Seifert, A. ; Tompkins, A. M. ; van Zadelhoff, G.-J. ; Vinit, F. ; Willén, U. ; Wilson, D. R. ; Wrench, C. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c255t-72d69a78851cad56e2ec3415369871459f273a97e9e40b96a899eb0ac600fd73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Atmospheric and Oceanic Physics</topic><topic>Climate models</topic><topic>Clouds</topic><topic>Earth Sciences</topic><topic>Forecasting models</topic><topic>Ice</topic><topic>Liquids</topic><topic>Meteorology</topic><topic>Moisture content</topic><topic>Physics</topic><topic>Radar</topic><topic>Radar tracking</topic><topic>Sciences of the Universe</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Illingworth, A. J.</creatorcontrib><creatorcontrib>Hogan, R. J.</creatorcontrib><creatorcontrib>O’Connor, E. J.</creatorcontrib><creatorcontrib>Bouniol, D.</creatorcontrib><creatorcontrib>Brooks, M. E.</creatorcontrib><creatorcontrib>Delanoë, J.</creatorcontrib><creatorcontrib>Donovan, D. P.</creatorcontrib><creatorcontrib>Eastment, J. D.</creatorcontrib><creatorcontrib>Gaussiat, N.</creatorcontrib><creatorcontrib>Goddard, J. W. F.</creatorcontrib><creatorcontrib>Haeffelin, M.</creatorcontrib><creatorcontrib>Baltink, H. Klein</creatorcontrib><creatorcontrib>Krasnov, O. A.</creatorcontrib><creatorcontrib>Pelon, J.</creatorcontrib><creatorcontrib>Piriou, J.-M.</creatorcontrib><creatorcontrib>Protat, A.</creatorcontrib><creatorcontrib>Russchenberg, H. W. J.</creatorcontrib><creatorcontrib>Seifert, A.</creatorcontrib><creatorcontrib>Tompkins, A. M.</creatorcontrib><creatorcontrib>van Zadelhoff, G.-J.</creatorcontrib><creatorcontrib>Vinit, F.</creatorcontrib><creatorcontrib>Willén, U.</creatorcontrib><creatorcontrib>Wilson, D. R.</creatorcontrib><creatorcontrib>Wrench, C. L.</creatorcontrib><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Bulletin of the American Meteorological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Illingworth, A. J.</au><au>Hogan, R. J.</au><au>O’Connor, E. J.</au><au>Bouniol, D.</au><au>Brooks, M. E.</au><au>Delanoë, J.</au><au>Donovan, D. P.</au><au>Eastment, J. D.</au><au>Gaussiat, N.</au><au>Goddard, J. W. F.</au><au>Haeffelin, M.</au><au>Baltink, H. Klein</au><au>Krasnov, O. A.</au><au>Pelon, J.</au><au>Piriou, J.-M.</au><au>Protat, A.</au><au>Russchenberg, H. W. J.</au><au>Seifert, A.</au><au>Tompkins, A. M.</au><au>van Zadelhoff, G.-J.</au><au>Vinit, F.</au><au>Willén, U.</au><au>Wilson, D. R.</au><au>Wrench, C. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CLOUDNET: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations</atitle><jtitle>Bulletin of the American Meteorological Society</jtitle><date>2007-06-01</date><risdate>2007</risdate><volume>88</volume><issue>6</issue><spage>883</spage><epage>898</epage><pages>883-898</pages><issn>0003-0007</issn><eissn>1520-0477</eissn><abstract>The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi–real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.</abstract><pub>American Meteorological Society</pub><doi>10.1175/BAMS-88-6-883</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-8933-874X</orcidid><orcidid>https://orcid.org/0000-0003-2348-2383</orcidid><orcidid>https://orcid.org/0000-0001-9020-1719</orcidid><orcidid>https://orcid.org/0000-0002-4426-6594</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0003-0007
ispartof Bulletin of the American Meteorological Society, 2007-06, Vol.88 (6), p.883-898
issn 0003-0007
1520-0477
language eng
recordid cdi_hal_primary_oai_HAL_hal_00164666v1
source Jstor Complete Legacy; American Meteorological Society; EZB-FREE-00999 freely available EZB journals
subjects Atmospheric and Oceanic Physics
Climate models
Clouds
Earth Sciences
Forecasting models
Ice
Liquids
Meteorology
Moisture content
Physics
Radar
Radar tracking
Sciences of the Universe
Weather forecasting
title CLOUDNET: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T13%3A35%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=CLOUDNET:%20Continuous%20Evaluation%20of%20Cloud%20Profiles%20in%20Seven%20Operational%20Models%20Using%20Ground-Based%20Observations&rft.jtitle=Bulletin%20of%20the%20American%20Meteorological%20Society&rft.au=Illingworth,%20A.%20J.&rft.date=2007-06-01&rft.volume=88&rft.issue=6&rft.spage=883&rft.epage=898&rft.pages=883-898&rft.issn=0003-0007&rft.eissn=1520-0477&rft_id=info:doi/10.1175/BAMS-88-6-883&rft_dat=%3Cjstor_hal_p%3E26216697%3C/jstor_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=26216697&rfr_iscdi=true