Parameter tuning and calibration of RegCM3 with MIT-emanuel cumulus parameterization scheme over CORDEX East Asia domain

Journal of Climate

Volumn 27, Issue 20, 2014, Pages 7687-7701

  Zou, Liwei ^a   Qian, Yun ^b   Zhou, Tianjun ^c   Yang, Ben ^a,b,c  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^c NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CUMULUS PARAMETERIZATION SCHEMES; EAST ASIA; PARAMETER-TUNING;

AIR TEMPERATURE; ATMOSPHERIC CONVECTION; CLIMATE MODELING; PRECIPITATION INTENSITY; PROBABILITY DENSITY FUNCTION; REGIONAL CLIMATE; RELATIVE HUMIDITY; SPATIAL VARIATION; WATER VAPOR;

FAR EAST; PACIFIC OCEAN; PACIFIC OCEAN (WEST);

EID: 84907833472     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-14-00229.1     Document Type: Article

References (53)

1. Chow, K. C., J.C. L.Chan, J. S. Pal, and F.Giorgi, 2006:Convection suppression criteria applied to the MIT cumulus parameterization scheme for simulating the Asian summer monsoon. Geophys. Res. Lett., 33, L24709, doi:10.1029/2006GL028026.
2. Christensen, J. H., and O. Christensen, 2007: A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Climatic Change, 81 (Suppl.), 7-30, doi:10.1007/s10584-006-9210-7.
3. Christensen, J. H., and Coauthors, 2007: Regional climate projections. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 847-940.
4. Davis, N., J. Bowden, F. Semazzi, L. Xie, and B. Önol, 2009: Customization of RegCM3 regional climate model for eastern Africa and a tropical Indian Ocean domain. J. Climate, 22, 3595-3616, doi:10.1175/2009JCLI2388.1.
5. Dickinson, R. E., A. Henderson-Sellers, and P. J. Kennedy, 1993: Biosphere-Atmosphere Transfer Scheme (BATS) Version 1e as coupled to theNCARCommunity ClimateModel.NCARTech. Note NCAR/TN-3871STR, 72 pp., doi:10.5065/D67W6959.
6. Ding, Y. H., and Y. Liu, 2001: Onset and the evolution of the summer monsoon over the South China Sea during SCSMEX Field Experiment in 1998. J. Meteor. Soc. Japan, 79, 255-276, doi:10.2151/jmsj.79.255.
7. Emanuel, K.A., 1991:Ascheme for representing cumulus convection in large-scale models. J. Atmos. Sci., 48, 2313-2329, doi:10.1175/ 1520-0469(1991)048,2313:ASFRCC.2.0.CO;2.
8. Emanuel, K.A., and M. Živković-Rothman, 1999: Development and evaluation of a convection scheme for use in climatemodels. J. Atmos. Sci., 56, 1766-1782, doi:10.1175/1520-0469(1999)056,1766: DAEOAC.2.0.CO;2.
9. Fu, C. B., and Coauthors, 2005: Regional Climate Model Intercomparison Project for Asia. Bull. Amer. Meteor. Soc., 86, 257-266, doi:10.1175/BAMS-86-2-257.
10. Gbobaniyi, E. O., B. J. Abiodun, M. A. Tadross, B. C. Hewitson, and W. J. Gutowski, 2011: The coupling of cloud base height and surface fluxes: A transferability intercomparison. Theor. Appl. Climatol., 106, 189-210, doi:10.1007/s00704-011-0421-0.
11. Giorgi, F., and L. O. Mearns, 1999: Introduction to special section: Regional climate modeling revisited. J. Geophys. Res., 104, 6335-6352, doi:10.1029/98JD02072.
12. Giorgi, F., M. R. Marinucci, and G. T. Bates, 1993a: Development of a second-generation regional climate model (RegCM2). Part I: Boundary-layer and radiative transfer processes. Mon. Wea. Rev., 121, 2794-2813, doi:10.1175/1520-0493(1993)121,2794: DOASGR.2.0.CO;2.
13. Giorgi, F., M. R. Marinucci, G. T. Bates, and G. De Canio, 1993b: Development of a second-generation regional climatemodel (RegCM2). Part II: Convective processes and assimilation of lateral boundary conditions. Mon. Wea. Rev., 121, 2814-2832, doi:10.1175/ 1520-0493(1993)121,2814:DOASGR.2.0.CO;2.
14. Giorgi, F., C. Jones, and G. R. Asrar, 2009: Addressing climate information needs at the regional level: The CORDEX framework. WMO Bull., 58, 175-183.
15. Giorgi, F., and Coauthors, 2012: RegCM4: Model description and preliminary tests over multiple CORDEX domains. Climate Res., 52, 7-29, doi:10.3354/cr01018.
16. Grell, G. A., 1993: Prognostic evaluation of assumptions used by cumulus parameterizations. Mon. Wea. Rev., 121, 764-787, doi:10.1175/1520-0493(1993)121,0764:PEOAUB.2.0.CO;2.
17. Holtslag, A. A. M., E. I. F. De Bruijn, and H.-L. Pan, 1990: A high resolution air mass transformation model for shortrange weather forecasting. Mon. Wea. Rev., 118, 1561-1575, doi:10.1175/1520-0493(1990)118,1561:AHRAMT.2.0.CO;2.
18. Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55, doi:10.1175/JHM560.1.
19. Ingber, L., 1989: Very fast simulated re-annealing. Math. Comput. Modell., 12, 967-973, doi:10.1016/0895-7177(89)90202-1.
20. Jackson, C., Y. Xia, M. K. Sen, and P. L. Stoffa, 2003: Optimal parameter and uncertainty estimation of a land surface model: A case study using data from Cabauw, Netherlands. J. Geophys. Res., 108, 4583, doi:10.1029/2002JD002991.
21. Jackson, C., M. K. Sen, and P. L. Stoffa, 2004: An efficient stochastic Bayesian approach to optimal parameter and uncertainty estimation for climatemodel predictions. J. Climate, 17, 2828-2841, doi:10.1175/1520-0442(2004)017,2828:AESBAT.2.0.CO;2.
22. Jackson, C., M. K. Sen, G. Huerta, Y. Deng, and K. P. Bowman, 2008: Error reduction and convergence in climate prediction. J. Climate, 21, 6698-6709, doi:10.1175/2008JCLI2112.1.
23. Jones, C., F. Giorgi, and G. Asrar, 2011: The Coordinated Regional Downscaling Experiment: CORDEX-An international downscaling link to CMIP5. CLIVAR Exchanges, No. 56, International CLIVAR Project Office, Southampton, United Kingdom, 34-40.
24. Kanamitsu, M., W. Ebisuzaki, J. Woollen, S.-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter, 2002: NCEP-DOE AMIP-II Reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631-1643, doi:10.1175/BAMS-83-11-1631.
25. Kiehl, J. T., J. J. Hack, G. B. Bonan, B. A. Boville, B. P. Briegleb, D. L. Williamson, and P. J. Rasch, 1996: Description of the NCAR Community Climate Model (CCM3). NCAR Tech. Note NCAR/TN-4201STR, 152 pp., doi:10.5065/D6FF3Q99.
26. Leung, L. R., L. O. Mearns, F. Giorgi, and R. L. Wilby, 2003: Regional climate research: Needs and opportunities. Bull. Amer. Meteor. Soc., 84, 89-95, doi:10.1175/BAMS-84-1-89.
27. Markowski, P., C. Hannon, and E. Rasmussen, 2006: Observations of convection initiation "failure"from the 12 June 2002 IHOP deployment. Mon. Wea. Rev., 134, 375-405, doi:10.1175/ MWR3059.1.
28. Mearns, L. O., W. J. Gutowski, R. Jones, R. Leung, S. McGinnis, A. Nunes, and Y. Qian, 2009: A regional climate change assessment program for North America. Eos, Trans. Amer. Geophys. Union, 90, 311, doi:10.1029/2009EO360002.
29. Pal, J. S., E. E. Small, and E. A. B. Eltahir, 2000: Simulation of regional-scale water and energy budgets: Representation of subgrid cloud and precipitation processes within RegCM. J. Geophys. Res., 105, 29 579-29 594, doi:10.1029/2000JD900415.
30. Pal, J. S., and Coauthors, 2007: Regional climate modeling for the developing world: The ICTP RegCM3 and RegCNET. Bull. Amer. Meteor. Soc., 88, 1395-1409, doi:10.1175/ BAMS-88-9-1395.
31. Qian, Y., and F. Giorgi, 1999: Interactive coupling of regional climate and sulfate aerosol models over eastern Asia. J. Geophys. Res., 104, 6477-6499, doi:10.1029/98JD02347.
32. Ratnam, J. V., F. Giorgi, A. Kaginalkar, and S. Cozzini, 2009: Simulation of the Indian monsoon using the RegCM3-ROMS regional coupled model. Climate Dyn., 33, 119-139, doi:10.1007/s00382-008-0433-3.
33. Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609-1625, doi:10.1175/ 1520-0442-(2002)015,1609:AIISAS.2.0.CO;2.
34. Segele, Z. T., L. M. Leslie, and P. J. Lamb, 2009: Evaluation and adaption of a regional climate model for the Horn of Africa: Rainfall climatology and interannual variability. Int. J. Climatol., 29, 47-65, doi:10.1002/joc.1681.
35. Takle, E. S., W. J. Gutowski, R. W. Arritt, J. Roads, I. Meinke, B. Rockel, C. G. Jones, and A. Zadra, 2007: Transferability intercomparison: An opportunity for new insight on the global water cycle and energy budget. Bull. Amer. Meteor. Soc., 88, 375-384, doi:10.1175/BAMS-88-3-375.
36. Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res., 106, 7183- 7192, doi:10.1029/2000JD900719.
37. Van der Linden, P., and J. F. B. Mitchell, Eds., 2009: ENSEMBLES: Climate change and its impacts at seasonal, decadal and centennial timescales; Summary of research and results from the ENSEMBLES project. Met Office Hadley Centre Tech. Rep., 160 pp. [Available online at http://ensembles-eu. metoffice.com/docs/Ensembles_final_report_Nov09.pdf.]
38. Wang, B., I.-S. Kang, and J.-Y. Lee, 2004: Ensemble simulations of Asian-Australian monsoon variability by 11 AGCMs. J. Climate, 17, 803-818, doi:10.1175/1520-0442(2004)017,0803: ESOAMV.2.0.CO;2.
39. Wang, B., Z. Wu, J. Li, J. Liu, C.-P. Chang, Y. Ding, and G. Wu, 2008: How to measure the strength of the East Asian summer monsoon. J. Climate, 21, 4449-4463, doi:10.1175/ 2008JCLI2183.1.
40. Wang, Y., O. L. Sen, and B. Wang, 2003: A highly resolved regional climate model (IPRC-RegCM) and its simulation of the 1998 severe precipitation event over China. Part I: Model description and verification of simulation. J. Climate, 16, 1721-1738, doi:10.1175/1520-0442(2003)016,1721: AHRRCM.2.0.CO;2.
41. Wang, Y., L. R. Leung, J. L. McGregor, D. K. Lee, W. C. Wang, Y. Ding, and F. Kimura, 2004: Regional climate modeling: Progress, challenges, and prospects. J. Meteor. Soc. Japan, 82, 1599-1628, doi:10.2151/jmsj.82.1599.
42. Yan, H., Y. Qian, G. Lin, L. R. Leung, B. Yang, and Q. Fu, 2014: Parametric sensitivity and calibration for Kain-Fritsch convective parameterization scheme in the WRF model. Climate Res., 59, 135-147, doi:10.3354/cr01213.
43. Yang, B., Y. Qian, G. Lin, R. Leung, and Y. Zhang, 2012: Some issues in uncertainty quantification and parameter tuning: A case study of convective parameterization scheme in the WRF regional climate model. Atmos. Chem. Phys., 12, 2409-2427, doi:10.5194/acp-12-2409-2012.
44. Yang, B., and Coauthors, 2013: Uncertainty quantification and parameter tuning in the CAM5 Zhang-McFarlane convection scheme and impact of improved convection on the global circulation and climate. J. Geophys. Res. Atmos., 118, 395-415, doi:10.1029/2012JD018213.
45. Yao, S., and Y. Zhang, 2010: Simulation of China summer precipitation using a regional air-sea coupled model. J. Meteor. Res., 24, 203-214.
46. Yasutomi, N., A. Hamada, and A. Yatagai, 2011: Development of a long-term daily gridded temperature dataset and its application to rain/snow discrimination of daily precipitation. Global Environ. Res., 15, 165-172.
47. Zeng, X., M. Zhao, and R. E. Dickinson, 1998: Intercomparison of bulk aerodynamic algorithms for the computation of sea surface fluxes using TOGA COARE and TAO data. J. Climate, 11, 2628-2644, doi:10.1175/1520-0442(1998)011,2628: IOBAAF.2.0.CO;2.
48. Zhang,D.,X.Gao, Z. Zhao, J. S. Pal, and F.Giorgi, 2007: Simulation of the atmospheric circulation over East Asia and climate in China by RegCM3 (in Chinese). J. Trop. Meteor., 23, 444-452.
49. Zhou, T., and R. Yu, 2005: Atmospheric water vapor transport associated with typical anomalous summer rainfall patterns in China. J. Geophys. Res., 110, D08104, doi:10.1029/2004JD005413.
50. Zou, L., and T. Zhou, 2011: Sensitivity of a regional ocean-atmosphere coupledmodel to convection parameterization over westernNorth Pacific. J. Geophys. Res., 116, D18106, doi:10.1029/2011JD015844.
51. Zou, L., and T. Zhou, 2012: Development and evaluation of a regional ocean-atmosphere coupled model with focus on the western North Pacific summer monsoon simulation: Impacts of different atmospheric components. Sci. China Earth Sci., 55, 802- 815, doi:10.1007/s11430-011-4281-3.
52. Zou, L., and T. Zhou, 2013a: Improve the simulation of western North Pacific summer monsoon in RegCM3 by suppressing convection. Meteor. Atmos. Phys., 121, 29-38, doi:10.1007/ s00703-013-0255-7.
53. Zou, L., and T. Zhou, 2013b: Can a regional ocean-atmosphere coupled model improve the simulation of the interannual variability of the western North Pacific summer monsoon? J. Climate, 26, 2353-2367, doi:10.1175/JCLI-D-11-00722.1.