Prognostic-cloud-scheme increment diagnostics: A novel addition to the case-study tool kit

Atmospheric Science Letters

Volumn 13, Issue 3, 2012, Pages 200-207

  Morcrette, Cyril J ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

Cloud parametrization; PC2; Unified model

Indexed keywords

CLOUD; MIDLATITUDE ENVIRONMENT; NUMERICAL MODEL; PARAMETERIZATION;

EID: 84864069032     PISSN: None     EISSN: 1530261X     Source Type: Journal    
DOI: 10.1002/asl.380     Document Type: Article

References (15)

1. Ahmadi-Givi F, Craig G, Plant RS. 2004. The dynamics of a midlatitude cyclone with very strong latent-heat release. Quarterly Journal of the Royal Meteorological Society 130: 295-323.
2. 423BC. The Clouds. Translated from the ancient Greek by Ian Johnston of Malaspina University-College, Nanaimo, Canada. Downloaded from
3. Donner LJ, Wyman BL, Hemler RS, Horowitz LW, Ming Y, Zhao M, Golaz J-C, Ginoux P, Lin S-J, Schwarzkopf MD, Austin J, Alaka G, Cooke WF, Delworth TL, Freidenreich SM, Gordon CT, Griffies SM, Held IM, Hurlin WJ, Klein SA, Knutson TR, Langenhorst AR, Lee H-C, Lin Y, Magi BI, Malyshev SL, Milly PCD, Naik V, Nath MJ, Pincus R, Ploshay JJ, Ramaswamy V, Seman CJ, Shevliakova E, Sirutis JJ, Stern WF, Stouffer RJ, Wilson RJ, Winton M, Wittenberg AT, Zeng F. 2011. The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3. Journal of Climate 24: 3484-3519. DOI: 10.1175/2011JCLI3955.1.
4. Forbes R, Tompkins A. 2011. An improved representation of cloud and precipitation, ECMWF Newsletter No. 129. Available from
5. Gray SL. 2006. Mechanisms of midlatitude cross-tropopause transport using a potential vorticity budget approach. Journal of Geophysical Research 111(D17113):DOI: 10.1029/2005JD006259.
6. Hoskins BJ, McIntyre ME, Robertson AW. 1985. On the use and significance of isentropic potential vorticity maps. Quarterly Journal of Royal Meteorological Society 111: 877-946.
7. Joos H, Wernli H. 2011. Influence of microphysical processes on the potential vorticity development in a warm conveyor belt: a case-study with the limited-area model COSMO. Quarterly Journal of Royal Meteorological Society 138: 407-418, DOI: 10.1002/qj.934.
8. Morcrette CJ, Petch JC. 2010. Analysis of prognostic cloud scheme increments in a climate model. Quarterly Journal of Royal Meteorological Society 136: 2061-2073. DOI: 10.1002/qj.720.
9. Morcrette CJ, O'Connor EJ, Petch JC. 2012. Evaluation of two cloud parametrization schemes using ARM and Cloud-Net observations. Quarterly Journal of Royal Meteorological Society DOI: 10.1002/qj.969.
10. Smith RNB. 1990. A scheme for predicting layer cloud and their water content in a general circulation model. Quarterly Journal of Royal Meteorological Society 116: 435-460.
11. Tiedtke M. 1993. Representation of clouds in large-scale models. Monthly Weather Review 121: 3040-3061.
12. Tompkins A. 2002. A prognostic parameterization for the subgrid-scale variability of water vapor and clouds in large-scale models and its use to diagnose cloud cover. Journal of the Atmospheric Sciences 59: 1917-1942.
13. Walters DN, Best MJ, Bushell AC, Copsey D, Edwards JM, Falloon PD, Harris CM, Lock AP, Manners JC, Morcrette CJ, Roberts MJ, Stratton RA, Webster S, Wilkinson JM, Willett MR, Boutle IA, Earnshaw PD, Hill PG, MacLachlan C, Martin GM, Moufouma-Okia W, Palmer MD, Petch JC, Rooney GG, Scaife AA, Williams KD. 2011. The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations. Geoscientific Model Development 4: 919-941. DOI: 10.5194/gmd-4-919-2011.
14. Watanabe M, Emori S, Satoh M, Miura H. 2009. A pdf-based hybrid prognostic cloud scheme for general circulation model. Climte Dynamics 33: 795-816. DOI: 10.1007/s00382-008-0489-0.
15. Wilson DR, Bushell AC, Kerr-Munslow AM, Price JD, Morcrette CJ. 2008. PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description. Quarterly Journal of Royal Meteorological Society. 134: 2093-2107.