Comptes Rendus
no. 1
Observing ice clouds with a Doppler cloud radar
[Observation de nuages de glace avec un radar nuage Doppler]
Artemio Plana-Fattori1  ; Alain Protat1, 2  ; Julien Delanoë3
1 Université de Versailles St. Quentin-en-Yvelines, CNRS/INSU, laboratoire atmosphères milieux, observations spatiales (LATMOS)/IPSL, 10-12, avenue de l'Europe, 78140 Vélizy, France
2 Centre for Australian Weather and Climate Research (CAWCR), 700 Collins Street, Docklands, VIC3008 Melbourne, Australia
3 Department of Meteorology, University of Reading, Earley Gate, PO Box 243, Reading RG6 6BB, United Kingdom
Comptes Rendus. Physique, Volume 11 (2010) no. 1, pp. 96-103.

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).

Publié le :
DOI : 10.1016/j.crhy.2009.11.004
Keywords: Climate, Meteorology, Clouds, Ice particles, Doppler radar
Mot clés : Climat, Météorologie, Nuages, Particules de glace, Radar Doppler
Artemio Plana-Fattori 1 ; Alain Protat 1, 2 ; Julien Delanoë 3

1 Université de Versailles St. Quentin-en-Yvelines, CNRS/INSU, laboratoire atmosphères milieux, observations spatiales (LATMOS)/IPSL, 10-12, avenue de l'Europe, 78140 Vélizy, France
2 Centre for Australian Weather and Climate Research (CAWCR), 700 Collins Street, Docklands, VIC3008 Melbourne, Australia
3 Department of Meteorology, University of Reading, Earley Gate, PO Box 243, Reading RG6 6BB, United Kingdom 
@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},
}
TY  - JOUR
AU  - Artemio Plana-Fattori
AU  - Alain Protat
AU  - Julien Delanoë
TI  - Observing ice clouds with a Doppler cloud radar
JO  - Comptes Rendus. Physique
PY  - 2010
SP  - 96
EP  - 103
VL  - 11
IS  - 1
PB  - Elsevier
DO  - 10.1016/j.crhy.2009.11.004
LA  - en
ID  - CRPHYS_2010__11_1_96_0
ER  - 
%0 Journal Article
%A Artemio Plana-Fattori
%A Alain Protat
%A Julien Delanoë
%T Observing ice clouds with a Doppler cloud radar
%J Comptes Rendus. Physique
%D 2010
%P 96-103
%V 11
%N 1
%I Elsevier
%R 10.1016/j.crhy.2009.11.004
%G en
%F CRPHYS_2010__11_1_96_0
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] G.L. Stephens; D.G. Vane; R.J. Boain; G.G. Mace; K. Sassen; Z. Wang; A.J. Illingworth; E.J. O'Connor; W.B. Rossow; S.L. Durden; S.D. Miller; R.T. Austin; A. Benedetti; C. Mitrescu; the CloudSat Science Team 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] D.R. Dowling; L.F. Radke A summary of the physical properties of cirrus clouds, J. Appl. Meteor., Volume 29 (1990), pp. 970-978

[3] M. Haeffelin; L. Barthes; O. Bock; C. Boitel; S. Bony; D. Bouniol; H. Chepfer; M. Chiriaco; J. Cuesta; J. Delanoe; P. Drobinski; J.-L. Dufresne; C. Flamant; M. Grall; A. Hodzic; F. Hourdin; F. Lapouge; Y. Lemaitre; A. Mathieu; Y. Morille; C. Naud; V. Noel; B. O'Hirok; J. Pelon; C. Pietras; A. Protat; B. Romand; G. Scialom; R. Vautard SIRTA: A ground-based atmospheric observatory for cloud and aerosol research, Ann. Geophys., Volume 23 (2005), pp. 253-275

[4] G.M. Stokes; S.E. Schwartz 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] K. Sassen; J.M. Comstock; Z. Wang; G.G. Mace Cloud and aerosol research capabilities at FARS: The facility for atmospheric remote sensing, Bull. Amer. Meteor. Soc., Volume 82 (2001), pp. 1119-1138

[6] K. Sassen; G.G. Mace 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] H. Russchenberg; L. Spek; D. Moisseev; C. Utal; Y. Dufournet; C. Venkatachalan 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] J.M. Comstock; T.P. Ackerman; G.G. Mace 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] Y. Yoshida; S. Asano; K. Iwanami 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] J. Delanoë; R.J. Hogan 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] J. Delanoë; A. Protat; J. Testud; D. Bouniol; A.J. Heymsfield; A. Bansemer; P.R.A. Brown; R.M. Forbes Statistical properties of the normalized ice particle size distribution, J. Geophys. Res., Volume 110 (2005), p. D10201

[13] J. Delanoë; A. Protat; D. Bouniol; A. Heymsfield; A. Bansemer; P. Brown The characterization of ice clouds properties from Doppler radar measurements, J. Appl. Meteor. Climatol., Volume 46 (2007), pp. 1682-1698

[14] H.P. Bohm A general equation for the terminal fall speed of solid hydrometeors, J. Atmos. Sci., Volume 46 (1989), pp. 2419-2427

[15] D.L. Mitchell Use of mass- and area-dimensional power-laws for determining precipitation particle terminal velocities, J. Atmos. Sci., Volume 53 (1996), pp. 1710-1723

[16] A. Protat; J. Pelon; N. Grand; P. Delville; P. Laborie; J.-P. Vinson; D. Bouniol; D. Bruneau; H. Chepfer; J. Delanoe; M. Haeffelin; V. Noel; C. Tinel 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] A.J. Illingworth; R.J. Hogan; E.J. O'Connor; D. Bouniol; M.E. Brooks; J. Delanoe; D.P. Donovan; J.D. Eastment; N. Gaussiat; J.W.F. Goddard; M. Haeffelin; H. Klein Baltink; O.A. Krasnov; J. Pelon; J.-M. Piriou; A. Protat; H.W.J. Russchenberg; A. Seifert; A.M. Tompkins; G.-J. van Zadelhoff; F. Vinit; U. Willen; D.R. Wilson; C.L. Wrench 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] A.J. Heymsfield; G.M. McFarquhar 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] A. Protat; J. Delanoë; A. Plana-Fattori; P.T. May; E. O'Connor 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] J.D. Locatelli; P.V. Hobbs Fall speeds and masses of solid precipitation particles, J. Geophys. Res., Volume 79 (1974), pp. 2185-2197

[22] G.M. McFarquhar; A.J. Heymsfield The definition and significance of an effective radius for ice clouds, J. Atmos. Sci., Volume 55 (1998), pp. 2039-2052

[23] K. Wyser The effective radius in ice clouds, J. Climate, Volume 11 (1998), pp. 1793-1802

Cité par Sources :

Commentaires - Politique

Ces articles pourraient vous intéresser

Sub-millimetre wave radiometry for cloud and rain characterization: From simulation to Earth observation mission concept

Eric Defer; Carlos Jimenez; Catherine Prigent

C. R. Phys (2012)