Use of dynamical downscaling to improve the simulation of Central U.S. warm season precipitation in CMIP5 models

Journal of Geophysical Research Atmospheres

Volumn 118, Issue 22, 2013, Pages 12,522-12,536

  Harding, Keith J ^a   Snyder, Peter K ^a   Liess, Stefan ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

CMIP5; dynamical downscaling; extreme rainfall events; Great Plains; model evaluation; WRF

Indexed keywords

CLIMATE CHANGE; CLIMATE MODELS; FLOOD CONTROL; FORESTRY; RAIN; WEATHER FORECASTING;

CMIP5; DYNAMICAL DOWNSCALING; EXTREME RAINFALL; GREAT PLAINS; MODEL EVALUATION; WRF;

COMPUTER SIMULATION;

CLIMATE CHANGE; CLIMATE MODELING; DIURNAL VARIATION; DOWNSCALING; DROUGHT; EXTREME EVENT; FLOOD; GLOBAL CLIMATE; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); RAINFALL; REGIONAL CLIMATE; SEASONALITY; WEATHER FORECASTING;

UNITED STATES;

EID: 84890522242     PISSN: None     EISSN: 21698996     Source Type: Journal    
DOI: 10.1002/2013JD019994     Document Type: Article

References (80)

1. Adler, R. F., et al. (2003), The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present), J. Hydrometeorol., 4 (6), 1147-1167.
2. AghaKouchak, A., A. Behrangi, S. Sorooshian, K. Hsu, and, E. Amitai, (2011), Evaluation of satellite-retrieved extreme precipitation rates across the central United States, J. Geophys. Res., 116, D02115, doi: 10.1029/ 2010JD014741.
3. Allan, R. P., and, B. J. Soden, (2008), Atmospheric warming and the amplification of precipitation extremes, Science, 321 (5895), 1481-1484.
4. Allen, M. R., and, W. J. Ingram, (2002), Constraints on future changes in climate and the hydrologic cycle, Nature, 419 (6903), 224-232.
5. Arritt, R. W., T. D. Rink, M. Segal, D. P. Todey, C. A. Clark, M. J. Mitchell, and, K. M. Labas, (1997), The Great Plains low-level jet during the warm season of 1993, Mon. Weather Rev., 125 (9), 2176-2192.
6. Bates, B. C., S. Kundzewicz, and, J. P. Palutikof, (2008), Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change, pp. 210, IPCC Secretariat, Geneva.
7. Becker, E. J., E. H. Berbery, and, R. W. Higgins, (2009), Understanding the characteristics of daily precipitation over the United States using the North American regional reanalysis, J. Clim., 22 (23), 6268-6286.
8. Bell, G. D., and, J. E. Janowiak, (1995), Atmospheric circulation associated with the Midwest floods of 1993, Bull. Am. Meteorol. Soc., 76 (5), 681-695.
9. Betts, R. A., P. M. Cox, S. E. Lee, and, F. I. Woodward, (1997), Contrasting physiological and structural vegetation feedbacks in climate change simulations, Nature, 387 (6635), 796-799.
10. Bonner, W. D., (1968), Climatology of the low-level jet, Mon. Weather Rev., 96, 833-850.
11. Bosilovich, M. G., and, S. D. Schubert, (2002), Water vapor tracers as diagnostics of the regional hydrologic cycle, J. Hydrometeorol., 3 (2), 149-165.
12. Bukovsky, M. S., and, D. J. Karoly, (2011), A regional modeling study of climate change impacts on warm-season precipitation in the Central United States, J. Clim., 24 (7), 1985-2002.
13. 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.
14. Changnon, S. A., (2001), Thunderstorm rainfall in the conterminous United States, Bull. Am. Meteorol. Soc., 82 (9), 1925-1940.
15. Chao, W. C., (2012), Correction of excessive precipitation over steep and high mountains in a GCM, J. Atmos. Sci., 69 (5), 1547-1561.
16. Chen, C. T., and, T. Knutson, (2008), On the verification and comparison of extreme rainfall indices from climate models, J. Clim., 21 (7), 1605-1621.
17. Chen, F., and, J. Dudhia, (2001), Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129 (4), 569-585.
18. Clark, A. J., W. A. Gallus, and, T. C. Chen, (2007), Comparison of the diurnal precipitation cycle in convection-resolving and non-convection-resolving mesoscale models, Mon. Weather Rev., 135 (10), 3456-3473.
19. Clark, A. J., W. A. Gallus, M. Xue, and, F. Y. Kong, (2009), A comparison of precipitation forecast skill between small convection-allowing and large convection-parameterizing ensembles, Weather Forecast, 24 (4), 1121-1140.
20. Cook, K. H., E. K. Vizy, Z. S. Launer, and, C. M. Patricola, (2008), Springtime intensification of the Great Plains low-level jet and midwest precipitation in GCM simulations of the twenty-first century, J. Clim., 21 (23), 6321-6340.
21. Dai, A., (2006), Precipitation characteristics in eighteen coupled climate models, J. Clim., 19 (18), 4605-4630.
22. Dee, D. P., et al. (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137 (656), 553-597.
23. Dudhia, J., (1989), Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46 (20), 3077-3107.
24. Friedl, M., et al. (2002), Global land cover mapping from MODIS: Algorithms and early results, Remote Sens. Environ., 83, 287-302.
25. Göber, M., E. Zsõtér, and, D. S. Richardson, (2008), Could a perfect model ever satisfy a naive forecaster? On grid box mean versus point verification, Meteorol Appl, 15 (3), 359-365.
26. Gõmez-Navarro, J. J., J. P. Montávez, S. Jerez, P. Jiménez-Guerrero, and, E. Zorita, (2012), What is the role of the observational dataset in the evaluation and scoring of climate models?, Geophys. Res. Lett., 39, L24701, doi: 10.1029/2012GL054206.
27. Harding, K., and, P. Snyder, (2012), Modeling the atmospheric response to irrigation in the Great Plains. Part I: General impacts on precipitation and the energy budget, J. Hydrometeorol., 13, 1667-1686.
28. Helfand, H. M., and, S. D. Schubert, (1995), Climatology of the simulated Great-Plains low-level jet and its contribution to the continental moisture budget of the United-States, J. Clim., 8 (4), 784-806.
29. Higgins, R. W., Y. Yao, E. S. Yarosh, J. E. Janowiak, and, K. C. Mo, (1997), Influence of the Great Plains low-level jet on summertime precipitation and moisture transport over the central United States, J. Clim., 10 (3), 481-507.
30. Hong, S. B., V. Lakshmi, E. E. Small, F. Chen, M. Tewari, and, K. W. Manning, (2009), Effects of vegetation and soil moisture on the simulated land surface processes from the coupled WRF/Noah model, J. Geophys. Res., 114, D18118, doi: 10.1029/2008JD011249.
31. Hong, S. Y., Y. Noh, and, J. Dudhia, (2006), A new vertical diffusion package with an explicit treatment of entrainment processes, Mon. Weather Rev., 134 (9), 2318-2341.
32. Huntington, T. G., (2006), Evidence for intensification of the global water cycle: Review and synthesis, J. Hydrol., 319 (1-4), 83-95.
33. Jacquemin, B., and, J. Noilhan, (1990), Sensitivity study and validation of a land surface parameterization using the Hapex-Mobilhy data set, Boundary Layer Meteorol., 52 (1-2), 93-134.
34. Kain, J. S., (2004), The Kain-Fritsch convective parameterization: An update, J. Appl. Meteorol., 43 (1), 170-181.
35. Kalnay, E., et al. (1996), The NCEP/NCAR 40-year reanalysis project, B. Am. Meteorol. Soc., 77 (3), 437-471.
36. 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. Am. Meteorol. Soc., 83 (11), 1631-1643.
37. Kunkel, K. E., K. Andsager, and, D. R. Easterling, (1999), Long-term trends in extreme precipitation events over the conterminous United States and Canada, J. Clim., 12 (8), 2515-2527.
38. Lee, M. I., S. D. Schubert, M. J. Suarez, I. M. Held, N. C. Lau, J. J. Ploshay, A. Kumar, H. K. Kim, and, J. K. E. Schemm, (2007a), An analysis of the warm-season diurnal cycle over the continental United States and northern Mexico in general circulation models, J. Hydrometeorol., 8 (3), 344-366.
39. Lee, M. I., et al. (2007b), Sensitivity to horizontal resolution in the AGCM simulations of warm season diurnal cycle of precipitation over the United States and northern Mexico, J. Clim., 20 (9), 1862-1881.
40. Lin, Y., and, K. Mitchell, (2005), The NCEP stage II/IV hourly precipitation analyses: Development and applications., paper presented at 19th Conference on Hydrology, American Meteorological Society, San Diego, CA.
41. Matsuura, K., and, C. J. Willmott, (2009), Terrestrial precipitation: 1900-2008 gridded monthly time series (version 2.01), edited by D. o. G. Center for Climatic Research, University of Delaware, Newark, DE.
42. Means, L. L., (1952), On thunderstorm forecasting in the central United States, Mon. Weather Rev., 80, 165-189.
43. Means, L. L., (1954), A study of the mean southerly wind-Maximum in low levels associated with a period of summer precipitation in the Middle West, Bull. Am. Meteorol. Soc., 35, 166-170.
44. Mearns, L. O., et al. (2012), The North American regional climate change assessment program overview of phase I results, Bull. Am. Meteorol. Soc., 93 (9), 1337-1362.
45. Meehl, G. A., and, C. Tebaldi, (2004), More intense, more frequent, and longer lasting heat waves in the 21st century, Science, 305 (5686), 994-997.
46. Meehl, G. A., J. M. Arblaster, and, C. Tebaldi, (2005), Understanding future patterns of increased precipitation intensity in climate model simulations, Geophys. Res. Lett., 32, L18719, doi: 10.1029/2005GL023680.
47. Mesinger, F., et al. (2006), North American regional reanalysis, Bull. Am. Meteorol. Soc., 87 (3), 343-360.
48. Mitchell, M. J., R. W. Arritt, and, K. Labas, (1995), A climatology of the warm-season Great-Plains low-level jet using wind profiler observations, Weather Forecast, 10 (3), 576-591.
49. Mitchell, T., and, P. Jones, (2005), An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25 (6), 693-712.
50. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and, S. A. Clough, (1997), Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102 (D14), 16,663-16,682.
51. Mo, K. C., and, E. H. Berbery, (2004), Low-level jets and the summer precipitation regimes over North America, J. Geophys. Res., 109, D06117, doi: 10.1029/2003JD004106.
52. Mo, K. C., J. Nogués-Paegle, and, J. Paegle, (1995), Physical-mechanisms of the 1993 summer floods, J. Atmos. Sci., 52 (7), 879-895.
53. Monaghan, A. J., D. L. Rife, J. O. Pinto, C. A. Davis, and, J. R. Hannan, (2010), Global precipitation extremes associated with diurnally varying low-level jets, J. Clim., 23 (19), 5065-5084.
54. Morrison, H., G. Thompson, and, V. Tatarskii, (2009), Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes, Mon. Weather Rev., 137 (3), 991-1007.
55. National Climatic Data Center (2013), Billion-dollar weather/climate disasters, Available online at https://http://www.ncdc.noaa.gov/billions/events, Accessed on March 13, 2013.
56. Noilhan, J., and, S. Planton, (1989), A simple parameterization of land surface processes for meteorological models, Mon. Weather Rev., 117 (3), 536-549.
57. Otte, T. L., C. G. Nolte, M. J. Otte, and, J. H. Bowden, (2012), Does nudging squelch the extremes in regional climate modeling?, J. Clim., 25, 7046-7066.
58. Parry, M. L., O. F. Canziani, J. P. Palutikof, P. J. van der Linden, and, C. E. Hanson, (2007), IPCC. Summary for policymakers, in Climate Change 2007: Impacts, Adaptation and Vulnerability. Rep., 7-22 pp.
59. Pitchford, K. L., and, J. London, (1962), The low-level jet as related to nocturnal thunderstorms over midwest United States, J. Appl. Meteorol., 1, 43-47.
60. Reichler, T., and, J. Kim, (2008), How well do coupled models simulate today's climate?, Bull. Am. Meteorol. Soc., 89 (3), 303-311.
61. Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and, W. Q. Wang, (2002), An improved in situ and satellite SST analysis for climate, J. Clim., 15 (13), 1609-1625.
62. Rienecker, M. M., et al. (2011), MERRA: NASA's modern-era retrospective analysis for research and applications, J. Clim., 24 (14), 3624-3648.
63. Rudolf, B., C. Beck, J. Grieser, and, U. Schneider, (2005), Global precipitation analysis products. Global Precipitation Climatology Centre (GPCC), DWD, 1-8.
64. Ruiz-Barradas, A., and, S. Nigam, (2006a), IPCC's twentieth-century climate simulations: Varied representations of North American hydroclimate variability, J. Clim., 19 (16), 4041-4058.
65. Ruiz-Barradas, A., and, S. Nigam, (2006b), Great Plains hydroclimate variability: The view from North American regional reanalysis, J. Clim., 19 (12), 3004-3010.
66. Sapiano, M. R. P., and, P. A. Arkin, (2009), An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data, J. Hydrometeorol., 10 (1), 149-166.
67. Schaller, N., I. Mahlstein, J. Cermak, and, R. Knutti, (2011), Analyzing precipitation projections: A comparison of different approaches to climate model evaluation, J. Geophys. Res., 116, D10118, doi: 10.1029/2010JD014963.
68. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X.-Y. Huang, W. Wang, and, J. G. Powers, (2008), A description of the advanced research WRF version 3. Rep., National Center for Atmospheric Research, Boulder, Colo.
69. Taylor, K. E., R. J. Stouffer, and, G. A. Meehl, (2012), An overview of CMIP5 and the experiment design, Bull. Am. Meteorol. Soc., 93 (4), 485-498.
70. Trenberth, K. E., A. Dai, R. M. Rasmussen, and, D. B. Parsons, (2003), The changing character of precipitation, Bull. Am. Meteorol. Soc., 84 (9), 1205-1217.
71. Tuttle, J. D., and, C. A. Davis, (2006), Corridors of warm season precipitation in the central United States, Mon. Weather Rev., 134 (9), 2297-2317.
72. Wang, C. Z., D. B. Enfield, S. K. Lee, and, C. W. Landsea, (2006), Influences of the Atlantic warm pool on western hemisphere summer rainfall and Atlantic hurricanes, J. Clim., 19 (12), 3011-3028.
73. Wang, D. B., M. Hejazi, X. M. Cai, and, A. J. Valocchi, (2011), Climate change impact on meteorological, agricultural, and hydrological drought in central Illinois, Water Resour. Res., 47, W09527, doi: 10.1029/2010WR009845.
74. Weaver, S. J., and, S. Nigam, (2011), Recurrent supersynoptic evolution of the Great Plains low-level jet, J. Clim., 24 (2), 575-582.
75. Wehner, M. F., R. L. Smith, G. Bala, and, P. Duffy, (2010), The effect of horizontal resolution on simulation of very extreme US precipitation events in a global atmosphere model, Clim. Dyn., 34 (2-3), 241-247.
76. Wetherald, R. T., and, S. Manabe, (2002), Simulation of hydrologic changes associated with global warming, J. Geophys. Res., 107 (D19), 4379, doi: 10.1029/2001JD001195.
77. Wilcox, E. M., and, L. J. Donner, (2007), The frequency of extreme rain events in satellite rain-rate estimates and an atmospheric general circulation model, J. Clim., 20 (1), 53-69.
78. Wu, W. L., A. H. Lynch, and, A. Rivers, (2005), Estimating the uncertainty in a regional climate model related to initial and lateral boundary conditions, J. Clim., 18 (7), 917-933.
79. Xie, P. P., and, P. A. Arkin, (1997), Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs, Bull. Am. Meteorol. Soc., 78 (11), 2539-2558.
80. Zhang, G. J., (2003), Roles of tropospheric and boundary layer forcing in the diurnal cycle of convection in the U.S. southern Great Plains, Geophys. Res. Lett., 30 (24), 2281, doi: 10.1029/2003GL018554.