Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data

Quarterly Journal of the Royal Meteorological Society

Volumn 137, Issue 661, 2011, Pages 2064-2078

  Delanoë, Julien ^a,b   Hogan, Robin J ^b   Forbes, Richard M ^c   Bodas Salcedo, Alejandro ^d   Stein, Thorwald H M ^b  

^a CNRS   (France)

^b UNIVERSITY OF READING   (United Kingdom)

^c EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^d MET OFFICE   (United Kingdom)

Author keywords

A Train; Ice cloud properties; Model comparison

Indexed keywords

A-TRAIN; CALIPSO; CLOUDSAT; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; GENERAL CIRCULATION MODEL; GRID-BOX; ICE CLOUD PROPERTIES; ICE CLOUDS; ICE WATER CONTENT; LIQUID WATER; MICROPHYSICAL PROCESS; MODEL COMPARISON; NUMERICAL WEATHER PREDICTION MODELS; PRECIPITATING SNOW; PROGNOSTIC VARIABLES; STATISTICAL COMPARISONS; STATISTICAL DISTRIBUTION; TEMPERATURE DEPENDENT; TEMPERATURE RANGE; VERTICAL DISTRIBUTIONS; VERY LOW TEMPERATURES;

ATMOSPHERICS; CLOUDS; MATHEMATICAL MODELS; OPTICAL RADAR; SNOW; WEATHER FORECASTING;

ICE;

ACCURACY ASSESSMENT; ATMOSPHERIC GENERAL CIRCULATION MODEL; ATMOSPHERIC MODELING; CALIPSO; CLOUD MICROPHYSICS; CLOUDSAT; COMPARATIVE STUDY; ICE; NUMERICAL MODEL; OBSERVATIONAL METHOD; SATELLITE DATA; WATER CONTENT;

EID: 83255187989     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.882     Document Type: Article

References (32)

1. Bodas-Salcedo A, Webb MJ, Brooks ME, Ringer MA, Williams KD, Milton SF, Wilson DR. 2008. Evaluating cloud systems in the Met Office global forecast model using simulated Cloudsat radar reflectivities. J. Geophys. Res. 113: 1-18, DOI: 10.1029/2007JD009620.
2. Brown PRA, Francis PN. 1995. Improved measurements of the ice water content in cirrus using a total-water probe. J. Atmos. Oceanic Technol. 12: 410-414.
3. Chiriaco M, Chepfer H, Minnis P, Haeffelin M, Platnick S, Baumgardner D, Dubuisson P, McGill M, Noël V, Pelon J, Spangenberg D, Sun-Mack S, Wind G. 2007. Comparison of CALIPSO-like, LaRC, and MODIS retrievals of ice-cloud properties over SIRTA in France and Florida during CRYSTAL-FACE. J. Appl. Meteorol. Climatol. 46: 249-272.
4. Delanoë J, Hogan RJ. 2008. A variational scheme for retrieving ice cloud properties from combined radar, lidar and infrared radiometer. J. Geophys. Res. 113: D07204, DOI: 10.1029/2007JD009000.
5. Delanoë J, Hogan RJ. 2010. Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds. J. Geophys. Res. 115: D00H29, DOI: 10.1029/2009JD012346.
6. Delanoë J, Protat A, Testud J, Bouniol D, Heymsfield AJ, Bansemer A, Brown PRA, Forbes RM. 2005. Statistical properties of the normalized ice particle size distribution. J. Geophys. Res. 110: 10201, DOI: 10.1029/2004JD005405.
7. European Space Agency. 2004. EarthCARE-Earth Clouds, Aerosols and Radiation Explorer. ESA SP-1279(1). ESA/ESTEC: Noordwijk, The Netherlands.
8. Francis PN, Hignett P, Macke A. 1998. The retrieval of cirrus cloud properties from aircraft multi-spectral reflectance measurements during EUCREX'93. Q. J. R. Meteorol. Soc. 124: 1273-1291.
9. Grant ALM. 2001. Cloud-base fluxes in the cumulus-capped boundary layer. Q. J. R. Meteorol. Soc. 127: 407-421.
10. Gregory J. 1999. 'Representation of the radiative effects of convective anvils'. Hadley Centre Tech. Note No. 7. Met Office: Exeter, UK..
11. Gregory D, Rowntree PR. 1990. A mass flux convection scheme with representation of cloud ensemble characteristics and stability dependent closure. Mon. Weather Rev. 118: 1483-1506.
12. Hogan RJ. 2006. Fast approximate calculation of multiply scattered lidar returns. Appl. Optics 45: 5984-5992.
13. Hogan RJ, Jakob C, Illingworth AJ. 2001. Comparison of ECMWF winter-season cloud fraction with radar-derived values. J. Appl. Meteorol. 40: 513-525.
14. Hogan RJ, Francis PN, Flentje H, Illingworth AJ, Quante M, Pelon J. 2003. Characteristics of mixed-phase clouds: Part I: Lidar, radar and aircraft observations from CLARE'98. Q. J. R. Meteorol. Soc. 129: 2089-2116.
15. Hogan RJ, Mittermaier MP, Illingworth AJ. 2006. The retrieval of ice water content from radar reflectivity factor and temperature and its use in the evaluation of a mesoscale model. J. Appl. Meteorol. Climatol. 45: 301-317.
16. Illingworth AJ, Hogan RJ, O'Connor EJ, Bouniol D, Brooks ME, Delanoë J, Donovan DP, Eastment JD, Gaussiat N, Goddard JWF, Haeffelin M, Klein Baltink H, Krasnov OA, Pelon J, Piriou JM, Protat A, Russchenberg HWJ, Seifert A, Tompkins AM, van Zadelhoff GJ, Vinit F, Willén U, Wilson DR, Wrench CL. 2007. Cloudnet-continuous evaluation of cloud profiles in seven operational models using ground-based observations. Bull. Am. Meteorol. Soc. 88: 883-898.
17. Jackob C, Klein SA. 2000. A parametrization of cloud and precipitation overlap effects for use in general circulation models. Q. J. R. Meteorol. Soc. 126: 2525-2544.
18. Joseph JH, Wiscombe WJ, Weinman JA. 1980. Numerical prediction of convectively driven mesoscale pressure systems. part i. convective parameterization. J. Atmos. Sci. 37: 1722-1733.
19. Lin YL, Farley RD, Orville HD. 1983. Bulk parametrization of the snow field in a cloud model. J. Climate Appl. Meteorol. 22: 1065-1092.
20. Liu CL, Illingworth AJ. 2000. Towards more accurate retrievals of ice water content from radar measurement of clouds. J. Appl. Meteorol. 39: 1130-1146.
21. Protat A, Delanoë J, Bouniol D, Heymsfield AJ, Bansemer A, Brown PRA. 2007. Evaluation of ice water content retrievals from cloud radar reflectivity and temperature using a large airborne in situ microphysical database. J. Appl. Meteorol. Climatol. 46: 557-572.
22. Smith RNB. 1990. A scheme for predicting layer clouds and their water content in a general circulation model. Q. J. R. Meteorol. Soc. 116: 435-460.
23. Stein THM, Delanoë J, Hogan RJ. 2011. A comparison between four different retrieval methods for ice cloud properties using data from CloudSat, CALIPSO and MODIS. J. Appl. Meteorol. Climatol. In press. DOI: 10.1175/2011JAMC2646.1.
24. Stephens GL, Vane DG, Boain RJ, Mace GG, Sassen K, Wang Z, Illingworth AJ, O'Connor EJ, Rossow WB, Durden SL, Miller SD, Austin RT, Benedetti A, Mitrescu C. 2002. The Cloudsat Mission and the A-Train. Bull. Am. Meteorol. Soc. 83: 1771-1790.
25. Stiller O. 2010. A flow-dependent estimate for the sampling error. J. Geophys. Res. 115: DOI: 10.1029/2010JD013934.
26. Sundqvist H. 1978. A parametrization scheme for non-convective condensation including prediction of cloud water content. Q. J. R. Meteorol. Soc. 104: 677-690.
27. Tiedke M. 1993. Representation of clouds in large-scale models. Mon. Weather Rev. 121: 3040-3061.
28. Tompkins AM, Gierens K, Rädel G. 2007. Ice supersaturation in the ECMWF integrated forcast system. Q. J. R. Meteorol. Soc. 133: 53-63.
29. Waliser DE, Li JF, Woods CP, Austin RT, Bacmeister J, Chern J, Genio AD, Jiang JH, Kuang Z, Meng H, Minnis P, Platnick S, Rossow WB, Stephens GL, Sun-Mack S, Tao W, Tompkins AM, Vane DG, Walker C, Wu D. 2009. Cloud ice: A climate model challenge with signs and expectations of progress. J. Geophys. Res. 114: DOI: 10.1029/2008JD010015.
30. Wilkinson J, Hogan RJ, Illingworth AJ, Benedetti A. 2008. Use of a lidar forward model for global comparisons of cloud fraction between the ICESAT lidar and the ECMWF model. Mon. Weather Rev. 136: 3742-3759.
31. Wilson DR, Ballard SP. 1999. A microphysically based precipitation scheme for the UK Met Office Unified Model. Q. J. R. Meteorol. Soc. 125: 1607-1636.
32. Winker DM, Pelon J, McCormick MP. 2003. The CALIPSO mission: Spaceborne lidar for observation of aerosols and clouds. Proc. SPIE 4893: 1-11.