Flying the TRMM Satellite in a general circulation model

Journal of Geophysical Research Atmospheres

Volumn 107, Issue 16, 2002, Pages

  Lin, Xin ^a,b   Fowler, Laura D ^a   Randall, David A ^a  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

GCM; Orbit; Precipitation; Sampling; TRMM

Indexed keywords

EID: 36448940868     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (54)

1. Arakawa, A., and W. H. Schubert, Interaction of a cumulus cloud ensemble with the large-scale environment, part I, J. Atmos. Sci., 31, 674-701, 1974.
2. Bell, T. L., A space-time stochastic model of rainfall for satellite remotesensing studies, J. Geophys. Res., 92, 9631 -9643, 1987.
3. Bell, T. L., and P. K. Kundu, A study of the sampling error in satellite rainfall estimates using optimal averaging of data and a stochastic model, J. Clim., 9, 1251-1268, 1996.
4. Bell, T. L., and P. K. Kundu, Dependence of satellite sampling error on monthly averaged rain rates: Comparison of simple models and recent studies, J. Clim., 13, 449-462, 2000.
5. Bell, T. L., and N. Reid, Detecting the diurnal cycle of rainfall using satellite observations, J. Appl. Meteorol., 32, 311-322, 1993.
6. Bell, T. L., A. Abdullah, R. L. Martin, and G. R. North, Sampling errors for satellite-derived tropical rainfall: Monte Carlo study using a space-time stochastic model, J. Geophy. Res., 95, 2195-2205, 1990.
7. Bell, T. L., P. K. Kundu, and C. D. Kummerow, Sampling errors for gridded rainfall averages obtained from low-Earth orbiting satellites. 9-12, paper presented at AMS Conference on Hydrology, Am. Meteorol. Soc., Long Beach, Calif., 2-7 Feb. 1997.
8. Chen, M., R. E. Dickinson, X. Zeng, and A. N. Hahmann, Comparison of precipitation observed over the continental United States to that simulated by a climate model, J. Clim., 9, 2233-2249, 1996.
9. Dai, A., Global precipitation and thunderstorm frequencies, part I, Seasonal and interannual variations, J. Clim., 14, 1092-1111, 2000.
10. Dine, P., and D. A. Randall, A cumulus parameterization with multiple cloud base levels, J. Geophys. Res., 103, 11,341-11,353, 1998.
11. Engelen, R. J., L. D. Fowler, P. J. Gleckler, and M. F. Wehner, Sampling strategies for the comparison of climate model calculated and satellite observed brightness temperatures, J. Geophys. Res., 105, 9393-9406, 2000.
12. Fowler, L. D., and D. A. Randall, Liquid and ice cloud microphysics in the CSU General Circulation Model, part II, Simulation of the Earth's radiation budget, J. Clim., 9, 530-560, 1996a.
13. Fowler, L. D., and D. A. Randall, Liquid and ice cloud microphysics in the CSU General Circulation Model, part III, Sensitivity tests, J. Clim., 9, 561-586, 1996b.
14. Fowler, L. D., D. A. Randall, and S. A. Rutledge, Liquid and ice cloud microphysics in the CSU General Circulation Model, part I, Model description and simulated microphysical processes, J. Clim., 9, 489-529, 1996.
15. Fowler, L. D., B. A. Wielicki, D. A. Randall, M. D. Branson, G. G. Gilbson, and F. M. Denn, Use of a GCM to explore sampling issues in connection with satellite remote sensing of the Earth's radiation budget, J. Geophys. Res., 105, 20,757-20,772, 2000.
16. Gray, W. M., and R. W. Jacobson, Diurnal variation of deep cumulus convection, Mon. Weather Rev., 105, 1171-1188, 1977.
17. Harshvardhan, R. Davies, D. A. Randall, and T. G. Corsetti, A fast radiation parameterization for atmosphere general circulation models, J. Geophys. Res., 92, 1009-1942, 1987.
18. Hartmann, D. L., K. Kowalewsky, and M. L. Michelsen, Diurnal variations of outgoing longwave radiation and albedo from ERBE scanner data, J. Clim., 4, 598-617, 1991.
19. Heikes, R., and D. A. Randall, Numerical integration of the shallow-water equations on a twisted icosahedral grid, part I, Basic design and results of tests, Mon. Weather Rev., 123, 1862-1880, 1995a.
20. Heikes, R., and D. A. Randall, Numerical integration of the shallow-water equations on a twisted icosahedral grid, part H, A detailed description of the grid and an analysis of numerical accuracy, Mon. Weather Rev., 123, 1881-1887, 1995b.
21. Huffman, G. J., Estimates of root-mean-square random error for finite samples of estimated precipitation, J. Appl. Meteorol., 36, 1191-1201, 1997.
22. Kidder, S. Q., and T. H. Yonder Harr, Satellite Meteorology: An Introduction, 466 pp., Academic, San Diego, Calif., 1995.
23. Kousky, V. E., Diurnal rainfall variation in Northeast Brazil, Mon. Heather Rev., 108, 488-498, 1980.
24. Kummerow, C., W. S. Olson, and L. Giglio, A simplified scheme for obtainjng precipitation and vertical hydrometeor profiles from passive microwave sensors, IEEE Trans. Geosci. Remote Sens., 34, 1213-1232, 1996.
25. Leith, C. E., The standard error of time-average estimates of climate means, J. Appl. Meteorol., 12, 1066-1069, 1973.
26. Li, Q., R. L. Bras, and D. Veneziano, Analysis of Darwin rainfall data: Implications on sampling strategy, J. Appl. Meteorol., 35, 372-385, 1996.
27. Liebmann, B., and A. Gruber, The annual variation of the diurnal cycle of outgoing longwave radiation, Mon. Weather Rev., 116, 1659-1670, 1988.
28. Lin, X., L. D. Fowler, and D. A. Randall, Diurnal variability of the hydrologic cycle and radiative fluxes: Comparisons between observations and a GCM, J. Clim., 13, 4159-4179, 2000.
29. Lin, Y.-L., R. D. Parley, and H. D. Orville, Bulk parameterization of the snow field in a cloud model, J. Clim. Appl. Meteorol., 22, 1065-1092, 1983.
30. McConnell, A., and G. R. North, Sampling errors in satellite estimates of tropical rain, J. Geophys. Res., 92, 9567-9570, 1987.
31. Meisner, B. N., and P. A. Arkin, Spatial and annual variations in the diurnal cycle of large-scale tropical convective cloudiness and precipitation, Mon. Weather Rev., 775, 2009-2032, 1987.
32. Meneghini, R., and T. Kozu, Spaceborne Weather Radar, 199 pp., Artech House, Norwood, Mass., 1990.
33. North, G. R., Survey of sampling problems for TRMM, in Tropical Rainfall Measurements, edited by J. S. Theon and N. Fugono, pp. 337-348, A. Deepak, Hampton, Va., 1988.
34. Pan, D.-M., and D. A. Randall, A cumulus parameterization with a prognostic closure, Q. J. R. Meteorol. Soc., 124, 949-981, 1998.
35. Petty, G. W., Frequencies and characteristics of global oceanic precipitation from shipboard present-weather reports, Bull. Am. Meteorol. Soc., 76, 1593-1616, 1995.
36. Petty, G. W., An intercomparison of oceanic precipitation frequencies from 10 special sensor microwave/imager rain rate algorithms and shipboard present weather reports, J. Geophys. Res., 102, 1757-1777, 1997.
37. Randall, D. A., and D.-M. Pan, Implementation of the Arakawa-Schubert cumulus parameterization with a prognostic closure, in The Representation of Cumulus Convection in Numerical Models, Meteorol. Monogr., vol. 24, edited by K. Emanuel and D. Raymond, pp. 137-144, 1993.
38. Randall, D. A., Harshvardhan, and D. A. Dazlich, Diurnal variability of the hydrologie cycle in a general circulation model, J. Atmos. Sci., 48, 4062, 1991.
39. Ringler, T. D., R. Heikes, and D. A. Randall, Modeling the atmospheric general circulation using spherical geodesic grid: A new class of dynamic cores, Mon. Weather Rev., 725, 2471-2490, 2000.
40. Rutledge, S. A., and P. V. Hobbs, The mesoscale and micro-scale structure and organization of clouds and precipitation in midlatitude cyclones, VIII, A model for the "seeder-feeder" process in warm-frontal rainbands, J. Atmos. Sci., 40, 1185-1206, 1983.
41. Rutledge, S. A., and P. V. Hobbs, The mesoscale and micro-scale structure and organization of clouds and precipitation in midlatitude cyclones, XII, A diagnostic modeling study of precipitation development in narrow cold-frontal rainbands, J. Atmos. Sci., 41, 2949-2972, 1984.
42. Salby, M. L., Asynoptic sampling considerations for wide-field-of-view measurements of outgoing radiation, part 1, Spatial and temporal resolution, J. Atmos. Sci., 45, 1176-1183, 1988.
43. Salby, M. L., and P. Callaghan, Sampling error in climate properties derived from satellite measurements: consequences of undersampled diumal variability, J. Clim., 10, 18-36, 1997.
44. Sellers, P. J., D. A. Randall, G. J. Collatz, J. Berry, C. Field, D. A. Dazlich, C. Zhang, and L. Bounoua, A revised land-surface parameterization (Sib2) for atmospheric GCMs, part 1, Model formulation, J. Clim., 9, 676-705, 1996a.
45. Sellers, P. J., S. O. Los, C. J. Tucker, C. O. Justice, D. A. Dazlich, G. J. Collatz, and D. A. Randall, A revised land-surface parameterization (Sib2) for atmospheric GCMs, part 2, The generation of global fields of terrestrial parameters from satellite data, J. Clim., 9, 706-737, 1996b.
46. Shin, K., and G. R. North, Sampling error study for rainfall estimate by satellite using a stochastic model, J. Appl. Meteorol., 27, 1218-1231, 1988.
47. Short, D. A., and J. M. Wallace, Satellite-inferred morning-to-evening cloudiness changes, Mon. Weather Rev., 108, 1160-1168, 1980.
48. Simpson, J., R. F. Adler, and G. R. North, Proposed tropical rainfall measuring mission (TRMM) satellite, Bull. Am. Meteorol. Soc., 69, 278-295, 1988.
49. Simpson, J., C. Kummerow, W.-K. Tao, and R. F. Adler, On the Tropical Rainfall Measuring Mission (TRMM), Meteorol. Atmos. Phys., 60, 19-36, 1996.
50. Soden, B. J., The sensitivity of the tropical hydrological cycle to ENSO, J. Clim., 13, 538-549, 2000.
51. Soman, V. V., J. B. Valdes, and G. R. North, Satellite sampling and the diurnal cycle statistics of Darwin rainfall data, J. Appl. Meteorol., 34, 2481-2490, 1995.
52. Wallace, J. M., Diurnal variations in precipitation and thunderstorm frequency over the conterminous United States, Mon. Weather Rev., 103, 406-419, 1975.
53. Wielicki, B. A., and B. R. Barkstrom, Clouds and the Earth's Radiant Energy System (CERES): An Earth observing system experiment, Proc. Second Symp. Global Climate Change Studies, 11-16 1995.
54. Zeng, L., and,G. Levy, Space and time aliasing structure in monthly mean polar-orbiting satellite data, J. Geophys. Res., 100, 5133-5142, 1995.