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Cloudnet
Open accessAbstract
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.
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Cited by
Illingworth, A. J., Barker, H. W., Beljaars, A., Ceccaldi, M., Chepfer, H., Clerbaux, N., Cole, J., Delanoë, J., Domenech, C., Donovan, D. P., et al. (2015) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00227.1 · Cited by 855
Self-citationThe HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System
Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W., Gleeson, E., Hansen-Sass, B., Homleid, M., Hortal, M., et al. (2017) · Monthly Weather Review · doi:10.1175/mwr-d-16-0417.1 · Cited by 533
Klein, S. A., McCoy, R. B., Morrison, H., Ackerman, A. S., Avramov, A., Boer, G. D., Chen, M., Cole, J. N. S., Del Genio, A. D., Falk, M., et al. (2009) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.416 · Cited by 369
Continuous Single-Column Model Evaluation at a Permanent Meteorological Supersite
Neggers, R. A. J., Siebesma, A. P., & Heus, T. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00162.1 · Cited by 117
Henneberger, J., Ramelli, F., Spirig, R., Omanovic, N., Miller, A. J., Fuchs, C., Zhang, H., Bühl, J., Hervo, M., Kanji, Z. A., et al. (2023) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-22-0178.1 · Cited by 47
Metadata
- Authors
- Illingworth, A. J., Hogan, R. J., O'Connor, E. J., Bouniol, D., Brooks, M. E., Delanoé, J., Donovan, D. P., Eastment, J. D., Gaussiat, N., Goddard, J. W. F., Haeffelin, M., Baltink, H. K., 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.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2007-06-01
- Volume
- 88
- Issue
- 6
- Pages
- 883-898
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2052760356
- Cited by
- 702
- References
- 0
- FWCI
- 20.66
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Cloudnet. https://app.cochat.ai/papers/10.1175/bams-88-6-883
- The paper
- Illingworth, A. J., Hogan, R. J., O'Connor, E. J., Bouniol, D., Brooks, M. E., Delanoé, J., Donovan, D. P., Eastment, J. D., Gaussiat, N., Goddard, J. W. F., Haeffelin, M., Baltink, H. K., Krasnov, O. A., Pelon, J., Piriou, J.-M., Protat, A., Russchenberg, H. W. J., Seifert, A., Tompkins, A. M., . . . Wrench, C. L. (2007). Cloudnet. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-88-6-883
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
