Coordinated global and regional climate modeling

Journal of Climate

Volumn 29, Issue 1, 2016, Pages 17-35

  Scinocca, J F ^a   Kharin, V V ^a   Jiao, Y ^a   Qian, M W ^a   Lazare, M ^a   Solheim, L ^a   Flato, G M ^a   Biner, S ^b   Desgagne, M ^a   Dugas, B ^a  

^a ENVIRONMENT CANADA   (Canada)

^b Consortium Ouranos ^*  (Canada)

Author keywords

Climate change; Climate models; Models and modeling; Physical meteorology and climatology; Regional models

Indexed keywords

CLIMATE CHANGE; CLIMATOLOGY;

CANADIAN CENTRE FOR CLIMATE MODELLING AND ANALYSIS; CLIMATE PREDICTION; GLOBAL CLIMATE MODEL; PROGNOSTIC VARIABLES; REGIONAL CLIMATE MODELING; REGIONAL CLIMATE MODELING (RCM); REGIONAL MODEL; SPATIAL RESOLUTION;

CLIMATE MODELS;

CLIMATE CHANGE; DOWNSCALING; GLOBAL CLIMATE; METEOROLOGY; REGIONAL CLIMATE;

EID: 84957699693     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-15-0161.1     Document Type: Article

References (56)

1. Abdella, K., and N. A. McFarlane, 1996: Parameterization of the surface-layer exchange coefficients for atmospheric models. Bound.-Layer Meteor., 80, 223-248, doi:10.1007/BF00119544.
2. Adler, R., and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167, doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
3. Alexandru, A., R. de Elía, R. Laprise, L. Separovic, and S. Biner, 2009: Sensitivity study of regional climate model simulations to large-scale nudging parameters. Mon. Wea. Rev., 137, 1666-1686, doi:10.1175/2008MWR2620.1.
4. Arora, V. K., and Coauthors, 2011: Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases. Geophys. Res. Lett., 38, L05805, doi:10.1029/2010GL046270.
5. Barker, H. W., J.N. S. Cole, J. J. Morcrette, R. Pincus, P. Raisanen, K. von Salzen, and P. A. Vaillancourt, 2008: The Monte Carlo independent column approximation: An assessment using several global atmospheric models. Quart. J. Roy. Meteor. Soc., 134, 1463-1478, doi:10.1002/qj.303.
6. Biner, S., D. Caya, R. Laprise, and L. Spacek, 2000: Nesting of RCMs by imposing large scales. Research activities in atmospheric and oceanic modelling. WMO/TD-987 30, 73-74.
7. Bowden, J. H., C. G. Nolte, and T. L. Otte, 2013: Simulating the impact of the large-scale circulation on the 2-m temperature and precipitation climatology. Climate Dyn., 40, 1903-1920, doi:10.1007/s00382-012-1440-y.
8. Castro, C. L., R. A. Pielke, and G. Leoncini, 2005: Dynamical downscaling: Assessment of value retained and added using the Regional Atmospheric Modeling System(RAMS). J.Geophys. Res., 110, D05108, doi:10.1029/2004JD004721.
9. Chaboureau, J. P., and P. Bechtold, 2005: Statistical representation of clouds in a regional model and the impact on the diurnal cycle of convection during tropical convection, cirrus and nitrogen oxides (TROCCINOX). J. Geophys. Res., 110, D17103, doi:10.1029/2004JD005645.
10. Côté, J., S. Gravel, A.Methot, A. Patoine, M.Roch, andA. Staniforth, 1998: The operational CMC-MRB Global Environmental Multiscale (GEM) model. Part I: Design considerations and formulation. Mon. Wea. Rev., 126, 1373-1395, doi:10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO;2.
11. Croft, B., U. Lohmann, and K. von Salzen, 2005: Black carbon ageing in the Canadian Centre for Climate Modelling and Analysis atmospheric general circulation model. Atmos. Chem. Phys., 5, 1931-1949, doi:10.5194/acp-5-1931-2005.
12. Davies, H. C., 1976:A lateral boundary formulation for multi-level prediction models. Quart. J. Roy. Meteor. Soc., 102, 405-418, doi:10.1002/qj.49710243210.
13. Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/qj.828.
14. Denis, B., J. Côté, and R. Laprise, 2002: Spectral decomposition of two-dimensional atmospheric fields on limited-area domains using the discrete cosine transform (DCT). Mon.Wea. Rev., 130, 1812-1829, doi:10.1175/1520-0493(2002)130<1812:SDOTDA>2.0.CO;2.
15. Di Luca, A., R. de Ela, and R. Laprise, 2015: Challenges in the quest for added value of regional climate dynamical downscaling. Current Climate Change Rep., 1, 10-21, doi:10.1007/s40641-015-0003-9.
16. Engelstaedter, S., I. Tegen, and R. Washington, 2006: North African dust emissions and transport. Earth-Sci. Rev., 79, 73-100, doi:10.1016/j.earscirev.2006.06.004.
17. Feser, F., and M. Barcikowska, 2012: The influence of spectral nudging on typhoon formation in regional climate models. Environ. Res. Lett., 7, 014024, doi:10.1088/1748-9326/7/1/014024.
18. Giorgi, F., 2006: Regional climate modeling: Status and perspectives. J. Phys., 139, 101-118, doi:10.1051/jp4:2006139008.
19. 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.
20. Giorgi, F., C. Jones, and G. Asrar, 2009: Addressing climate information needs at the regional level: The CORDEX framework. WMO Bull., 58, 175-183.
21. Glisan, J. M., W. J. Gutowski, J. J. Cassano, and M. E. Higgins, 2013: Effects of spectral nudging in WRF on Arctic temperature and precipitation simulations. J. Climate, 26, 3985-3999, doi:10.1175/JCLI-D-12-00318.1.
22. Griffin, D. W., 2007: Atmospheric movement of microorganisms in clouds of desert dust and implications for human health. Clin. Microbiol. Rev., 20, 459-477, doi:10.1128/CMR.00039-06.
23. Hernandez-Diaz, L., R. Laprise, L. Sushama, A. Martynov, K. Winger, and B. Dugas, 2012: Climate simulation over CORDEX Africa domain using the fifth-generation Canadian Regional Climate Model (CRCM5). Climate Dyn., 40, 1415-1433, doi:10.1007/s00382-012-1387-z.
24. Jacob, D., and Coauthors, 2012: Assessing the transferability of the regional climate model REMO to different Coordinated Regional Climate Downscaling Experiment (CORDEX) regions. Atmosphere, 3, 181-199, doi:10.3390/atmos3010181.
25. Kanamaru, H., and M. Kanamitsu, 2007: Scale-selective bias correction in a downscaling of global analysis using a regional model. Mon. Wea. Rev., 135, 334-350, doi:10.1175/MWR3294.1.
26. Khairoutdinov, M., and Y. Kogan, 2000: A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Wea. Rev., 128, 229-243, doi:10.1175/1520-0493(2000)128<0229:ANCPPI>2.0.CO;2.
27. Kharin, V. V., and J. F. Scinocca, 2012: The impact of model fidelity on seasonal predictive skill. Geophys. Res. Lett., 39, L18803, doi:10.1029/2012GL052815.
28. Kharin, V. V., F. Zwiers, X. Zhang, and M. Wehner, 2013: Changes in temperature and precipitation extremes in the CMIP5 ensemble. Climatic Change, 119, 345-357, doi:10.1007/s10584-013-0705-8.
29. Koltzow, M., T. Iversen, and J. E. Haugen, 2008: Extended Big-Brother experiments: The role of lateral boundary data quality and size of integration domain in regional climate modelling. Tellus, 60A, 398-410, doi:10.1111/j.1600-0870.2008.00309.x.
30. Laprise, R., 2008: Regional climate modelling. J. Comput. Phys., 227, 3641-3666, doi:10.1016/j.jcp.2006.10.024.
31. Li, J., 2002: Accounting for unresolved clouds in a 1D infrared radiative transfer model. Part I: Solution for radiative transfer, including cloud scattering and overlap. J. Atmos. Sci., 59, 3302-3320, doi:10.1175/1520-0469(2002)059<3302:AFUCIA>2.0.CO;2.
32. Li, J., and H. W. Barker, 2005: A radiation algorithm with correlated-k distribution. Part I: Local thermal equilibrium. J. Atmos. Sci., 62, 286-309, doi:10.1175/JAS-3396.1.
33. Lohmann, U., and E. Roeckner, 1996: Design and performance of a new cloud microphysics scheme developed for the ECHAM general circulation model. ClimateDyn., 12, 557-572, doi:10.1007/BF00207939.
34. Lohmann, U., K. von Salzen, N. McFarlane, H. G. Leighton, and J. Feichter, 1999: Tropospheric sulfur cycle in the Canadian general circulation model. J. Geophys. Res., 104, 26833-26858, doi:10.1029/1999JD900343.
35. Lucas-Picher, P., D. Caya, S. Biner, and R. Larpise, 2008a: Quantification of the lateral boundary forcing of a regional climate model using an aging tracer. Mon. Wea. Rev., 136, 4980-4996, doi:10.1175/2008MWR2448.1.
36. Lucas-Picher, P., D. Caya, R. de Elía, and R. Larpise, 2008b: Investigation of regional climate models' internal variability with a ten-member ensemble of 10-year simulations over a large domain. Climate Dyn., 31, 927-940, doi:10.1007/s00382-008-0384-8.
37. McFarlane, N. A., J. F. Scinocca, M. Lazare, R. Harvey, D. Verseghy, and J. Li, 2006: The CCCma third generation Atmospheric General Circulation Model (AGCM3). CCma Internal Tech. Rep., 28 pp. [Available online at ftp://ftp. cccma.ec.gc.ca/pub/jscinocca/reports/AGCM3_report.pdf.].
38. Mearns, L. O., W. J. Gutowski, R. Jones, L. Y. Leung, S. McGinnis, A. M. B. 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.
39. Mearns, L. O., and Coauthors, 2012: The North American Regional Climate Change Assessment Program: Overview of phase I results. Bull. Amer. Meteor. Soc., 93, 1337-1362, doi:10.1175/BAMS-D-11-00223.1.
40. Miguez-Macho, G., G. L. Stenchikov, and A. Robock, 2004: Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations. J. Geophys. Res., 109, 693-712, doi:10.1029/2003JD004495.
41. Minnis, P., D. Young, S. Sun-Mack, P. W. Heck, D. R. Doelling, and Q. Z. Trepte, 2003: CERES cloud property retrievals from imagers on TRMM, Terra, and Aqua. Remote Sensing of Clouds and the Atmosphere VIII, K. P. Schaefer et al., Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 5235), 37-48, doi:10.1117/12.511210.
42. Otte, T. L., C. G. Nolte, M. J. Otte, and J. H. Bowden, 2012: Does nudging squelch the extremes in regional climate modeling? J. Climate, 25, 7046-7066, doi:10.1175/JCLI-D-12-00048.1.
43. Pincus, R., H. W. Barker, and J. J. Morcrette, 2003: A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields. J.Geophys. Res., 108, 4376, doi:10.1029/2002JD003322.
44. Rockel, B., C. L. Castro, R. A. Pielke, H. von Storch, and G. Leoncini, 2008: Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models. J. Geophys. Res., 113, D21107, doi:10.1029/2007JD009461.
45. Rotstayn, L. D., 1997:A physically based scheme for the treatment of stratiform clouds and precipitation in large-scale models. I: Description and evaluation of the microphysical processes. Quart. J. Roy. Meteor. Soc., 123, 1227-1282, doi:10.1002/qj.49712354106.
46. Scinocca, J. F., N. A. McFarlane, M. Lazare, J. Li, and D. Plummer, 2008: Technical Note: The CCCma third generation AGCM and its extension into the middle atmosphere. Atmos. Chem. Phys., 8, 7055-7074, doi:10.5194/acp-8-7055-2008.
47. Song, S., J. Tang, and X. Chen, 2011: Impacts of spectral nudging on the sensitivity of a regional climate model to convective parameterizations in East Asia. Acta Meteor. Sin., 25, 63-77, doi:10.1007/s13351-011-0005-z.
48. Takle, E. S., J. Roads, B. Rockel, W. J. Gutowski, R. W. Arritt, I. Meinke, 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.
49. Tang, J., S. Song, and J. Wu, 2010: Impacts of the spectral nudging technique on simulation of the East Asian summer monsoon. Theor. Appl. Climatol., 101, 41-51, doi:10.1007/s00704-009-0202-1.
50. von Salzen, K., and Coauthors, 2000: Sensitivity of sulphate aerosol size distributions and CCN concentrations over NorthAmerica to SOx emissions and H2O2 concentrations. J. Geophys. Res., 105, 9741-9765, doi:10.1029/2000JD900027.
51. von Salzen, K., N. A. McFarlane, and M. Lazare, 2005: The role of shallow convection in the water and energy cycles of the atmosphere. Climate Dyn., 25, 671-688, doi:10.1007/s00382-005-0051-2.
52. von Salzen, K., and Coauthors, 2013: The Canadian fourth generation Atmospheric Global Climate Model (CanAM4). Part I: Representation of physical processes. Atmos.-Ocean, 51, 104-125, doi:10.1080/07055900.2012.755610.
53. von Storch, H., H. Langenberg, and F. Feser, 2000: A spectral nudging technique for dynamical downscaling purposes. Mon. Wea. Rev., 128, 3664-3673, doi:10.1175/1520-0493(2000)128<3664:ASNTFD>2.0.CO;2.
54. Wielicki, B. A., B. R. Barkstrom, E. F. Harrison, R. B. Lee, G. L. Smith, and J. E. Cooper, 1996: Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System experiment. Bull. Amer. Meteor. Soc., 77, 853-868, doi:10.1175/1520-0477(1996)077<0853:CATERE>2.0.CO;2.
55. Yeh, K. S., J. Côté, S. Gravel, A. Methot, A. Patoine, M. Roch, and A. Staniforth, 2002: The CMC-MRB Global Environmental Multiscale (GEM) model. Part III: Nonhydrostatic formulation. Mon. Wea. Rev., 130, 339-356, doi:10.1175/1520-0493(2002)130<0339:TCMGEM>2.0.CO;2.
56. Zadra, A., D. Caya, J. Côté, B. Dugas, C. Jones, R. Laprise, K. Winger, and L. P. Caron, 2008: The next Canadian Regional Climate Model. Phys. Canada, 64, 75-83.