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Cloudnet

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

A. J. Illingworth
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R. J. Hogan
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E.J. O'Connor
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D. Bouniol
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M. E. Brooks
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J. Delanoé
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D. P. Donovan
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J. D. Eastment
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N. Gaussiat
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J. W. F. Goddard
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M. Haeffelin
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H. Klein Baltink
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O. A. Krasnov
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J. Pelon
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J.-M. Piriou
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A. Protat
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H. W. J. Russchenberg
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A. Seifert
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A. M. Tompkins
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G.-J. van Zadelhoff
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F. Vinit
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U. Willén
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D. R. Wilson
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C. L. Wrench
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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.

Department of Meteorology, University of Reading, Reading, United Kingdom

Institute Pierre Simon Laplace, Centre d'Etudes des Environnements Terrestres et Planetaires, Velizy, France

Met Office, Exeter, United Kingdom

Royal Netherlands Meteorological Institute, De Bilt, Netherlands

CCLRC-Rutherford Appleton Laboratory, Didcot, United Kingdom

Institute Pierre Simon Laplace, LMD, Paris, France

Delft University of Technology, IRCTR, Delft, Netherlands

Météo-France, Toulouse, France

Deutscher Wetterdienst, Offenbach, Germany

European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

CORRESPONDING AUTHOR: Anthony J. Illingworth, Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading RG6 6BB, United Kingdom, E-mail: a.j.illingworth@reading.ac.uk

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.

Department of Meteorology, University of Reading, Reading, United Kingdom

Institute Pierre Simon Laplace, Centre d'Etudes des Environnements Terrestres et Planetaires, Velizy, France

Met Office, Exeter, United Kingdom

Royal Netherlands Meteorological Institute, De Bilt, Netherlands

CCLRC-Rutherford Appleton Laboratory, Didcot, United Kingdom

Institute Pierre Simon Laplace, LMD, Paris, France

Delft University of Technology, IRCTR, Delft, Netherlands

Météo-France, Toulouse, France

Deutscher Wetterdienst, Offenbach, Germany

European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

CORRESPONDING AUTHOR: Anthony J. Illingworth, Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading RG6 6BB, United Kingdom, E-mail: a.j.illingworth@reading.ac.uk
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