Les systèmes nuageux contenant de particules de glace ( « nuages de glace ») doivent être représentés de façon réaliste au sein des modèles consacrés à la prévision du temps et à la simulation du climat. Néanmoins, ces nuages ne sont pas suffisamment connus. Cet article présente l'état actuel de la méthode RadOn, conçue pour estimer les propriétés microphysiques des nuages de glace à partir d'observations effectuées à l'aide d'un radar nuage Doppler. L'application de cette méthode aux observations acquises en 2003 et 2004 à l'aide de l'instrument RASTA à l'observatoire SIRTA (Palaiseau) est ici analysée en détail.
Cloud systems containing ice particles (“ice clouds”) must be realistically represented in numerical models devoted to weather forecasting and climate projection. Nevertheless, such clouds have not been fully characterized. The RadOn method (after Radar Only) has been developed for estimating microphysical properties of ice clouds from Doppler cloud radar observations. This method is here updated and applied to observations conducted in 2003–2004 with the Doppler cloud radar RASTA at the SIRTA observatory (Palaiseau, near Paris).
Mot clés : Climat, Météorologie, Nuages, Particules de glace, Radar Doppler
Artemio Plana-Fattori 1 ; Alain Protat 1, 2 ; Julien Delanoë 3
@article{CRPHYS_2010__11_1_96_0, author = {Artemio Plana-Fattori and Alain Protat and Julien Delano\"e}, title = {Observing ice clouds with a {Doppler} cloud radar}, journal = {Comptes Rendus. Physique}, pages = {96--103}, publisher = {Elsevier}, volume = {11}, number = {1}, year = {2010}, doi = {10.1016/j.crhy.2009.11.004}, language = {en}, }
Artemio Plana-Fattori; Alain Protat; Julien Delanoë. Observing ice clouds with a Doppler cloud radar. Comptes Rendus. Physique, Volume 11 (2010) no. 1, pp. 96-103. doi : 10.1016/j.crhy.2009.11.004. https://comptes-rendus.academie-sciences.fr/physique/articles/10.1016/j.crhy.2009.11.004/
[1] The CloudSat mission and the A-train: A new dimension of space-based observations of clouds and precipitation, Bull. Amer. Meteor. Soc., Volume 83 (2002), pp. 1771-1790
[2] A summary of the physical properties of cirrus clouds, J. Appl. Meteor., Volume 29 (1990), pp. 970-978
[3] SIRTA: A ground-based atmospheric observatory for cloud and aerosol research, Ann. Geophys., Volume 23 (2005), pp. 253-275
[4] The Atmospheric Radiation Measurement (ARM) Program: Programmatic background and design of the cloud and radiation test bed, Bull. Amer. Meteor. Soc., Volume 75 (1994), pp. 1201-1221
[5] Cloud and aerosol research capabilities at FARS: The facility for atmospheric remote sensing, Bull. Amer. Meteor. Soc., Volume 82 (2001), pp. 1119-1138
[6] Ground-based remote sensing of cirrus clouds (D.K. Lynch; K. Sassen; D.O'C. Starr; G.L. Stephens, eds.), Cirrus, Oxford University Press, 2002, pp. 168-196
[7] On the use of spectral polarimetry to observe ice cloud microphysics with radar (S. Michaelides, ed.), Precipitation: Advances in Measurement, Estimation, and Prediction, Springer, Berlin, Heidelberg, 2008, pp. 285-312
[8] Ground-based lidar and radar remote sensing of tropical cirrus clouds at Nauru Island: Cloud statistics and radiative impacts, J. Geophys. Res., Volume 107 (2002), p. D4714
[9] Retrieval of microphysical properties of water, ice, and mixed-phase clouds using a triple-wavelength radar and microwave radiometer, J. Meteor. Soc. Japan, Volume 84 (2006), pp. 1005-1031
[10] A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer, J. Geophys. Res., Volume 113 (2008), p. D07204
[11] J. Delanoë, Modèle Inverse et Algorithmique pour exploiter la Synergie Radar-Lidar dans les Missions en tandem CLOUDSAT et CALIPSO ou dans la Mission EARTH-CARE, Thèse de Docteur de l'Université de Versailles Saint-Quentin-en-Yvelines soutenue le 16 décembre 2005
[12] Statistical properties of the normalized ice particle size distribution, J. Geophys. Res., Volume 110 (2005), p. D10201
[13] The characterization of ice clouds properties from Doppler radar measurements, J. Appl. Meteor. Climatol., Volume 46 (2007), pp. 1682-1698
[14] A general equation for the terminal fall speed of solid hydrometeors, J. Atmos. Sci., Volume 46 (1989), pp. 2419-2427
[15] Use of mass- and area-dimensional power-laws for determining precipitation particle terminal velocities, J. Atmos. Sci., Volume 53 (1996), pp. 1710-1723
[16] Le projet RALI: Combinaison d'un radar et d'un lidar pour l'étude des nuages faiblement précipitants, La Météorologie, Volume 47 (2004), pp. 23-33
[17] CLOUDNET: Continuous evaluation of cloud profiles in seven operational models using ground-based observations, Bull. Amer. Meteor. Soc., Volume 88 (2007), pp. 883-898
[18] R.J. Hogan, E.J. O'Connor, Facilitating cloud radar and lidar algorithms: The Cloudnet instrument synergy/target categorization product, Department of Meteorology, Reading University, 2004, available online at http://www.cloud-net.org/data/products/categorize.html
[19] Mid-latitude and tropical cirrus (D.K. Lynch; K. Sassen; D.O'C. Starr; G.L. Stephens, eds.), Cirrus, Oxford University Press, 2002, pp. 79-101
[20] The statistical properties of tropical ice clouds generated by the West-African and Australian monsoons from ground-based radar-lidar observations, Q. J. R. Meteorol. Soc. (2009) | DOI
[21] Fall speeds and masses of solid precipitation particles, J. Geophys. Res., Volume 79 (1974), pp. 2185-2197
[22] The definition and significance of an effective radius for ice clouds, J. Atmos. Sci., Volume 55 (1998), pp. 2039-2052
[23] The effective radius in ice clouds, J. Climate, Volume 11 (1998), pp. 1793-1802
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