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The Evaluation of CloudSat and CALIPSO Ice Microphysical Products Using Ground-Based Cloud Radar and Lidar Observations

Source: Journal of Atmospheric and Oceanic Technology:;2010:;volume( 027 ):;issue: 005:;page 793

Author(s): Protat, A.; Delanoë, J.; O’Connor, E. J.; L’Ecuyer, T. S.

Publisher: American Meteorological Society

Abstract: In this paper, the statistical properties of tropical ice clouds (ice water content, visible extinction, effective radius, and total number concentration) derived from 3 yr of ground-based radar?lidar retrievals from the ...

CloudSat as a Global Radar Calibrator

Source: Journal of Atmospheric and Oceanic Technology:;2010:;volume( 028 ):;issue: 003:;page 445

Author(s): Protat, A.; Bouniol, D.; O’Connor, E. J.; Klein Baltink, H.; Verlinde, J.; Widener, K.

Publisher: American Meteorological Society

Abstract: The calibration of the CloudSat spaceborne cloud radar has been thoroughly assessed using very accurate internal link budgets before launch, comparisons with predicted ocean surface backscatter at 94 GHz, direct comparisons ...

CORRIGENDUM

Source: Journal of Atmospheric and Oceanic Technology:;2011:;volume( 028 ):;issue: 005:;page 734

Author(s): Protat, A.; Delanoë, J.; O’Connor, E. J.; L’Ecuyer, T. S.

Publisher: American Meteorological Society

Exploiting Existing Ground-Based Remote Sensing Networks to Improve High-Resolution Weather Forecasts

Source: Bulletin of the American Meteorological Society:;2015:;volume( 096 ):;issue: 012:;page 2107

Author(s): Illingworth, A. J.; Cimini, D.; Gaffard, C.; Haeffelin, M.; Lehmann, V.; Löhnert, U.; O’Connor, E. J.; Ruffieux, D.

Publisher: American Meteorological Society

Abstract: new generation of high-resolution (1 km) forecast models promises to revolutionize the prediction of hazardous weather such as windstorms, flash floods, and poor air quality. To realize this promise, a dense observing ...

How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts?

Source: Bulletin of the American Meteorological Society:;2018:;volume 100:;issue 004:;page 605

Author(s): Illingworth, A. J.; Cimini, D.; Haefele, A.; Haeffelin, M.; Hervo, M.; Kotthaus, S.; Löhnert, U.; Martinet, P.; Mattis, I.; O’Connor, E. J.; Potthast, R.

Publisher: American Meteorological Society

Abstract: AbstractTo realize the promise of improved predictions of hazardous weather such as flash floods, wind storms, fog, and poor air quality from high-resolution mesoscale models, the forecast models must be initialized with ...

Cloudnet

Source: Bulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 006:;page 883

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

Publisher: American Meteorological Society

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. ...