The ocean-land-atmosphere model: Optimization and evaluation of simulated radiative fluxes and precipitation

Monthly Weather Review

Volumn 138, Issue 5, 2010, Pages 1923-1939

  Medvigy, David ^a   Walko, Robert L ^a   Otte, Martin J ^a   Avissar, Roni ^a  

^a Duke University   (United States)

Author keywords

Atmosphere land interaction; Coupled models; Ocean models; Precipitation; Radiative fluxes

Indexed keywords

ATMOSPHERE MODELS; CHARACTERISTIC LENGTH; CLOUD DROPLETS; CLOUDS AND THE EARTH'S RADIANT ENERGY SYSTEMS; COUPLED MODELS; DATA PRODUCTS; EARTH SYSTEM MODEL; GLOBAL PRECIPITATION CLIMATOLOGY PROJECTS; GRID RESOLUTION; HIGHLY SENSITIVE; KEY PARAMETERS; LOCAL MESH REFINEMENT; MAXIMUM LIKELIHOOD FUNCTION; MICROPHYSICS PARAMETERIZATION; MODEL RESOLUTION; OBJECTIVE OPTIMIZATION; OCEAN MODEL; PARAMETER SPACES; PARAMETER UNCERTAINTY; PRECIPITATION PATTERNS; RADIATIVE FLUXES; SOUTH AMERICA; TUNABLE PARAMETER; VARIABLE RESOLUTION;

CLIMATE MODELS; CLIMATOLOGY; DISTRIBUTION FUNCTIONS; DROP FORMATION; MAXIMUM LIKELIHOOD; MODEL STRUCTURES; OCEANOGRAPHY; OPTIMIZATION;

COMPUTER SIMULATION;

AIR-SEA INTERACTION; AIR-SOIL INTERACTION; CLIMATE MODELING; CLOUD DROPLET; CLOUD RADIATIVE FORCING; INTERTROPICAL CONVERGENCE ZONE; OPTIMIZATION; PRECIPITATION (CLIMATOLOGY); SHORTWAVE RADIATION;

EID: 77955582921     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR3131.1     Document Type: Article

References (54)

1. Babb, D. M., J. Verlinde, and B. A. Albrecht, 1999: Retrieval of cloud microphysical parameters from 94-GHz radar Doppler power spectra. J. Atmos. Oceanic Technol., 16, 489-503.
2. Barker, H. W., G. L. Stephens, and Q. Fu, 1999: The sensitivity of domain-averaged solar fluxes to assumptions about cloud geometry. Quart. J. Roy. Meteor. Soc., 125, 2127-2152.
3. Barker, H. W., and Coauthors, 2003: Assessing 1D atmospheric solar radiative transfer models: interpretation and handling of unresolved clouds. J. Climate, 16, 2676-2699.
4. Bender, F. A. M., 2008: A note on the effect of GCM tuning on climate sensitivity. Environ. Res. Lett., 3, doi:10.1088/1748-9326/3/1/014001.
5. Cahalan, R. F., W. Ridgway, W. J. Wiscombe, and T. L. Bell, 1994: The albedo of fractal stratocumulus clouds. J. Atmos. Sci., 51, 2434-2455.
6. Collins, W. D., and Coauthors, 2006: The Community Climate System Model version 3 (CCSM3). J. Climate, 19, 2122-2143.
7. Cotton, W. R., and Coauthors, 2003: RAMS 2001: Current status and future directions. Meteor. Atmos. Phys., 82, 5-29.
8. Delworth, T. L., and Coauthors, 2006: GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and simulation characteristics. J. Climate, 19, 643-674.
9. Edwards, A. W. F., 1972: Likelihood. Cambridge University Press, 296 pp.
10. Geleyn, J.-F., and A. Hollingsworth, 1979: An economical analytical method for the computation of the interaction between scattering and line absorption of radiation. Contrib. Atmos. Phys., 52,1-16.
11. Goncxalves,F. L. T., J. A. Martins, andM. A. SilvaDias, 2008: Shape parameter analysis using cloud spectra and gamma functions in the numerical modeling of RAMS during the LBA Project at Amazonian region, Brazil. Atmos. Res., 89,1-11.
12. Grell, G. A., and D. Dévényi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, 1693, doi:10.1029/ 2002GL015311.
13. Guirguis, K. J., and R. Avissar, 2008: An analysis of precipitation variability, persistence, and observational data uncertainty in the western United States. J. Hydrometeor., 9, 843-865.
14. Harrington, J. Y., 1997: The effects of radiative and microphysical processes on simulated warm and transition season Arctic stratus. Ph.D. thesis, Colorado State University, 289 pp.
15. Harrington, J. Y., and P. Q. Olsson, 2001: A method for the parameterization of cloud optical properties in bulk and bin microphysical models: Implications for arctic cloudy boundary layers. Atmos. Res., 57, 51-80.
16. Harrington, J. Y., T. Reisin, W. R. Cotton, and S. M. Kreidenweis, 1999: Cloud resolving simulations of Arctic stratus. Part II: Transition-season clouds. Atmos. Res., 51, 45-75.
17. Hill, G. E., 1974: Factors controlling the size and spacing of cumulus clouds as revealed by numerical experiments. J. Atmos. Sci., 31, 646-673.
18. Hogan, R. J., and A. J. Illingworth, 2000: Derived cloud overlap statistics from radar. Quart. J. Roy. Meteor. Soc., 126, 2903-2909.
19. Huffman, G. J., 1997: Estimates of root-mean-square random error for finite samples of estimated precipitation. J. Appl. Meteor., 36,1191-1201.
20. Huffman, G. J., R. Adler, M. Morrissey, D. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeor., 2, 36-50.
21. Jiang, H., G. Feingold, and W. R. Cotton, 2002: Simulations of aerosol-cloud-dynamical feedbacks resulting from entrain-ment of aerosol into the marine boundary layer during the Atlantic Stratocumulus Transition Experiment. J. Geophys. Res., 107, 4813, doi:10.1029/2001JD001502.
22. Jones, C., J. Gregory, R. Thorpe, P. Cox, J. Murphy, D. Sexton, and P. Valdes, 2005: Systematic optimisation and climate simulation of FAMOUS, a fast version of HadCM3. Climate Dyn., 25,189-204.
23. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Re-analysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
24. Lilly, D. K., 1962: On the numerical simulation of buoyant convection. Tellus, 14,148-172.
25. Liu, Y., and R. Avissar, 1996: Sensitivity of shallow convective precipitation induced by land surface heterogeneities to dynamical and cloud microphysical parameters. J. Geophys. Res., 101 (D3), 7477-7497.
26. Mace, G. G., and S. Benson-Troth, 2002: Cloud-layer overlap characteristics derived from long-term cloud radar data. J. Climate, 15,2505-2515.
27. Medvigy, D., R. L. Walko, and R. Avissar, 2008: Modeling in-terannual variability of the Amazon hydroclimate. Geophys. Res. Lett., 35, L15817, doi:10.1029/2008GL034941.
28. Morcrette, J.-J., H. W. Barker, J. S. Cole, M. J. Iacono, and R. Pincus, 2008: Impact of a new radiation package, McRad, in the ECMWF Integrated Forecasting System. Mon. Wea. Rev., 136, 4773-4798.
29. Murphy, J. M., and Coauthors, 2004: Quantification of modeling uncertainties in a large ensemble of climate change simulations. Nature, 430,768-772.
30. Meyers, M. P., R. L. Walko, J. Y. Harrington, and W. R. Cotton, 1997: New RAMS cloud microphysics parameterization. Part II: The two-moment scheme. Atmos. Res., 45, 3-39.
31. Nachamkin, J., and W. R. Cotton, 2000: Interaction between a developing mesoscale convective system and its environment. Part II: Numerical simulation. Mon. Wea. Rev., 128, 1225-1244.
32. Norris, P. M., and A. M. da Silva, 2007: Assimilation of satellite cloud data into the GMAO finite-volume data assimilation system using a parameter estimation method. Part I: Motivation and algorithm description. J. Atmos. Sci., 64, 3880-3895.
33. Pielke, R. A., and Coauthors, 1992: A Comprehensive Meteorological Modeling System-RAMS. Meteor. Atmos. Phys., 49, 69-91.
34. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 1992: Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, 994 pp.
35. Ramanathan, V., R. D. Cess, E. F. Harrison, P. Minnis, B. R. Barkstrom, E. Ahmad, and D. Hartmann, 1989: Cloud-radiative forcing and climate: Results from the Earth Radiation Budget Experiment. Science, 243,57-63.
36. Randall, D. A., and Coauthors, 2007: Climate models and their evaluation. Climate Change 2007: The Physical Basis, S. Solomon et al., Eds., Cambridge University Press, 608-613.
37. Reynolds, R. W., N. A. Rayner, T. M. Smith, T. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15,1609-1625.
38. Richey, J. E., R. L. Victoria, E. Salati, and B. R. Forsbert, 1991: The biogeochemistry of a major river system: The Amazon case study. Biogeochemistry of Major World Rivers, E. T. Degens, S. Kempe, and J. E. Richey, Eds., John Wiley and Sons, 57-74.
39. Severigns, C. A., and W. Hazeleger, 2005: Optimizing parameters in an atmospheric general circulation model. J. Climate, 18, 3527-3535.
40. Shimpo, A., M. Kanamitsu, and S. F. Iacobellis, 2008: Comparison of four cloud schemes in simulating the seasonal mean field forced by the observed sea surface temperature. Mon. Wea. Rev., 136, 2557-2575.
41. Simmonds, I., and K. Keay, 2000: Mean Southern Hemisphere extratropical cyclone behavior in the 40-Year NCEP-NCAR reanalysis. J. Climate, 13, 873-885.
42. Stainforth, D. A., and Coauthors, 2005: Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature, 433, 403-4106.
43. Stevens, B., W. R. Cotton, G. Feingold, and C.-H. Moeng, 1998: Large-eddy simulations of strongly precipitating, shallow, stratocumulus-topped boundary layers. J. Atmos. Sci., 55, 3616-3638.
44. Tsay, S.-C., and K. Jayaweera, 1984: Physical characteristics of Arctic stratus clouds. J. Climate Appl. Meteor., 23, 584-596.
45. Vallina, S. M., R. Simó, and S. Gassó, 2006: What controls CCN seasonality in the Southern Ocean? A statistical analysis based on satellite-derived chlorophyll and CCN and model-estimated OH radical and rainfall. Global Biogeochem. Cycles, 20, GB1014, doi:10.1029/2005GB002597.
46. Walko, R. L., and R. Avissar, 2008a: The Ocean-Land-Atmosphere Model (OLAM): Shallow-water tests. Mon. Wea. Rev., 136, 4033-41044.
47. Walko, R. L., and R. Avissar, 2008b: The Ocean-Land-Atmosphere Model (OLAM): Formulation and tests of the nonhydrostatic dynamic core. Mon. Wea. Rev., 136, 4045-4062.
48. Walko, R. L., W. R. Cotton, M. P. Meyers, and J. Y. Harrington, 1995: New RAMS cloud microphysics parameterization. Part I: The single-moment scheme. Atmos. Res., 38,29-62.
49. Walko, R. L., W. R. Cotton, G. Feingold, and B. Stevens, 2000a: Efficient computation of vapor and heat diffusion between hydrometeors in a numerical model. Atmos. Res., 53,171-183.
50. Walko, R. L., and Coauthors, 2000b: Coupled atmosphere-biophysics-hydrology models for environmental modeling. J. Appl. Meteor., 39, 931-944.
51. 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.
52. Wielicki, B. A., and Coauthors, 2002: Evidence for large decadal variability in the tropical mean radiative energy budget. Science, 295, 841-844.
53. Xie, P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539-2558.
54. Yin, X., A. Gruber, and P. Arkin, 2004: Comparison of the GPCP and CMAP merged gauge-satellite monthly precipitation products for the period 1979-2001. J. Hydrometeor., 5,1207-1222.