Error and energy budget analysis of a nonhydrostatic stretched-grid global atmospheric model

Monthly Weather Review

Volumn 144, Issue 4, 2016, Pages 1423-1447

  Uchida, Junya ^a   Mori, Masato ^a   Nakamura, Hisashi ^b   Satoh, Masaki ^a   Suzuki, Kentaroh ^a   Nakajima, Teruyuki ^c  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c JAPAN AEROSPACE EXPLORATION AGENCY   (Japan)

Author keywords

Atm ocean structure phenomena; Circulation dynamics; Eddies; Energy transport; Model errors; Models and modeling; Nonhydrostatic models; Regional models; Storm tracks

Indexed keywords

BUDGET CONTROL; CLIMATE CHANGE; ERRORS; IMAGE SEGMENTATION; PRECIPITATION (METEOROLOGY); RAIN; RAIN GAGES; STORMS;

EDDIES; ENERGY TRANSPORT; MODEL ERRORS; NONHYDROSTATIC MODEL; REGIONAL MODEL; STORM TRACK;

CLIMATE MODELS;

ATMOSPHERIC GENERAL CIRCULATION MODEL; EDDY; ENERGY BUDGET; ERROR ANALYSIS; NORTHERN HEMISPHERE; SOUTHERN HEMISPHERE; STORM TRACK;

UNITED STATES;

EID: 84966270061     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-15-0271.1     Document Type: Article

References (60)

1. Berbery, E.H., andM. S. Fox-Rabinovitz, 2003:Multiscale diagnosis of the North American monsoon system using a variableresolution GCM. J. Climate, 16, 1929-1947, doi:10.1175/1520-0442(2003)016<1929:MDOTNA>2.0.CO;2.
2. Caian, M., and J.-F. Geleyn, 1997: Some limits to the variable-mesh solution and comparison with the nested-LAM solution. Quart. J. Roy. Meteor. Soc., 123, 743-766, doi:10.1002/qj.49712353911.
3. Cote, J., M. Roch, A. Staniforth, and L. Fillion, 1993: A variable resolution semi-Lagrangian finite-element global model of the shallow-water equations. Mon. Wea. Rev., 121, 231-243, doi:10.1175/1520-0493(1993)121<0231:AVRSLF>2.0.CO;2.
4. Deque, M., and J. Ph. Piedelievre, 1995: High-resolution climate simulation over Europe. Climate Dyn., 11, 321-339, doi:10.1007/BF00215735.
5. Flato, G., and Coauthors, 2013: Evaluation of climate models. Climate Change 2013: The Physical Science Basis, T. F. Stocker et al., Eds., Cambridge University Press, 741-866.
6. Fox-Rabinovitz, M. S., 2000: Simulation of anomalous regional climate events with a variable-resolution stretched-grid GCM. J. Geophys. Res., 105, 29 635-29 645, doi:10.1029/2000JD900650.
7. Fox-Rabinovitz, M. S., G. L. Stenchikov, M. J. Suarez, L. L. Takacs, and R. C. Govindaraju, 2000:Auniform-and variable-resolution stretchedgrid GCM dynamical core with realistic orography. Mon. Wea. Rev., 128, 1883-1898, doi:10.1175/1520-0493(2000)128<1883: AUAVRS>2.0.CO;2.
8. Fox-Rabinovitz, M. S., L. L. Takacs, R. C. Govindaraju, and M. J. Suarez, 2001: A variable-resolution stretched-grid general circulation model: Regional model simulation. Mon. Wea. Rev., 129, 453-469, doi:10.1175/1520-0493(2001)129<0453:AVRSGG>2.0.CO;2.
9. Fox-Rabinovitz, M. S., L. L. Takacs, and R. C. Govindaraju, 2002: A variable-resolution stretched-grid general circulation model and data assimilation system with multiple areas of interest: Studying the anomalous regional events of 1998. J. Geophys. Res., 107, 4768, doi:10.1029/2002JD002177.
10. Fox-Rabinovitz, M. S., E. H. Berbery, L. L. Takacs, and R. C. Govindaraju, 2005: A multiyear ensemble simulation of the U.S. climate with a stretched-grid GCM. Mon. Wea. Rev., 133, 2505-2525, doi:10.1175/MWR2956.1.
11. Fox-Rabinovitz, M. S., J. Cote, M. Deque, B. Dugas, and J. McGregor, 2006: Variable resolution general circulation models: Stretched-grid model intercomparison project (SGMIP). J. Geophys. Res., 111, D16104, doi:10.1029/2005JD006520.
12. Gibelin, A.-L., and M. Deque, 2003: Anthropogenic climate change over the Mediterranean region simulated by a global variable resolution model. Climate Dyn., 20, 327-339, doi:10.1007/s00382-002-0277-1.
13. Giorgi, F., 1990: Simulation of regional climate using a limited area model nested in a GCM. J. Climate, 3, 941-963, doi:10.1175/1520-0442(1990)003<0941:SORCUA>2.0.CO;2.
14. 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.
15. Goto, D., and Coauthors, 2015: Application of a global nonhydrostatic model with a stretched-grid system to regional aerosol simulations around Japan. Geosci. Model Dev., 8, 235-259, doi:10.5194/gmd-8-235-2015.
16. Harris, L. M., and S.-J. Lin, 2013:Atwo-way nested global-regional dynamical core on the cubed-sphere grid. Mon. Wea. Rev., 141, 283-306, doi:10.1175/MWR-D-11-00201.1.
17. Hotta, D., and H. Nakamura, 2011: On the significance of the sensible heat supply from the ocean in the maintenance of the mean baroclinicity along storm tracks. J. Climate, 24, 3377-3401, doi:10.1175/2010JCLI3910.1.
18. Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis: Quasi-global, multiyear, combinedsensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55, doi:10.1175/JHM560.1.
19. Jablonowski, C., M. Herzog, J. E. Penner, R. C. Oehmke, Q. F. Stout, B. van Leer, and K. G. Powell, 2006: Block-structured adaptive grids on the sphere: Advection experiments. Mon. Wea. Rev., 134, 3691-3713, doi:10.1175/MWR3223.1.
20. Lo, J. C.-F., Z.-L. Yang, and R. A. Pielke Sr., 2008: Assessment of three dimensional dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) model. J. Geophys. Res., 113, D09112, doi:10.1029/2007JD009216.
21. Louis, J. F., 1979: A parametric model of vertical eddy fluxes in the atmosphere. Bound.-Layer Meteor., 17, 187-202, doi:10.1007/BF00117978.
22. Magnusdottir, G., and R. Saravanan, 1999: The response of atmospheric heat transport to zonally averaged SST trends. Tellus, 51A, 815-832, doi:10.1034/j.1600-0870.1999.00019.x.
23. Miura, H., M. Satoh, T. Nasuno, A. T. Noda, and K. Oouchi, 2007: AMadden-Julian Oscillation event realistically simulated by a global cloud-resolving model. Science, 318, 1763-1765, doi:10.1126/science.1148443.
24. Miyamoto, Y., Y. Kajikawa, R. Yoshida, T. Yamaura, H. Yashiro, and H. Tomita, 2013: Deep moist atmospheric convection in a sub-kilometer global simulation. Geophys. Res. Lett., 40, 4922-4926, doi:10.1002/grl.50944.
25. Mori, M., M. Watanabe, and M. Kimoto, 2013: Superrotation and nonlinear Hadley circulation response to zonally asymmetric sea surface temperature in an aquaplanet GCM. J. Meteor. Soc. Japan, 91A, 269-291, doi:10.2151/jmsj.2013-A10.
26. Nakamura, H., 1992: Midwinter suppression of baroclinic wave activity in the Pacific. J. Atmos. Sci., 49, 1629-1642, doi:10.1175/1520-0469(1992)049<1629:MSOBWA>2.0.CO;2.
27. Nakamura, H., and A. Shimpo, 2004: Seasonal variations in the Southern Hemisphere storm tracks and jet streams as revealed in a reanalysis dataset. J. Climate, 17, 1828-1844, doi:10.1175/1520-0442(2004)017<1828:SVITSH>2.0.CO;2.
28. Nakamura, H., T. Sampe, Y. Tanimoto, and A. Shimpo, 2004: Observed associations among storm tracks, jet streams and midlatitude oceanic fronts. Earth's Climate: The Ocean-Atmosphere Interaction, Geophys. Monogr., Vol. 147, Amer. Geophys. Union, 329-346.
29. Nakanishi, M., and H. Niino, 2004: An improved Mellor-Yamada level-3 model with condensation physics: Its design and verification. Bound.-Layer Meteor., 112, 1-31, doi:10.1023/B:BOUN.0000020164.04146.98.
30. Nakanishi, M., and H. Niino, 2006: An improved Mellor-Yamada level-3 model: Its numerical stability and application to a regional prediction of advection fog. Bound.-Layer Meteor., 119, 397-407, doi:10.1007/s10546-005-9030-8.
31. Nakanishi, M., and H. Niino, 2009: Development of an improved turbulence closure model for the atmospheric boundary layer. J. Meteor. Soc. Japan, 87, 895-912, doi:10.2151/jmsj.87.895.
32. Noda, A. T., K. Oouchi, M. Satoh, H. Tomita, S. Iga, and Y. Tsushima, 2010: Importance of the subgrid-scale turbulent moist process: Cloud distribution in global cloud-resolving simulations. Atmos. Res., 96, 208-217, doi:10.1016/j.atmosres.2009.05.007.
33. Numaguti, A., 1995: Dynamics and energy balance of the Hadley circulation and the tropical precipitation zones. Part II: Sensitivity to meridional SST distribution. J. Atmos. Sci., 52, 1128-1141, doi:10.1175/1520-0469(1995)052<1128:DAEBOT>2.0.CO;2.
34. Palmén, E., and C. W. Newton, 1969: Atmospheric Circulation Systems: Their Structure and Physical Interpretation. Academic Press, 603 pp.
35. Pierce, H., 2011: TRMM Tropical Rainfall Measuring Mission: Analysis of heavy rain over the eastern United States. NASA, accessed 12 March 2015. [Available online at http://trmm.gsfc.nasa.gov/publications_dir/usa_flooding_11mar11.html.].
36. Putman, W. M., and M. Suarez, 2011: Cloud-system resolving simulations with theNASA Goddard Earth Observing System global atmospheric model (GEOS-5). Geophys. Res. Lett., 38, L16809, doi:10.1029/2011GL048438.
37. Rauscher, S. A., and T. D. Ringler, 2014: Impact of variableresolution meshes on midlatitude baroclinic eddies using CAM-MPAS-A. Mon. Wea. Rev., 142, 4256-4268, doi:10.1175/MWR-D-13-00366.1.
38. Rauscher, S. A., T. D. Ringler, W. C. Skamarock, and A. A. Mirin, 2013: Exploring a global multiresolution modeling approach using aquaplanet simulations. J. Climate, 26, 2432-2452, doi:10.1175/JCLI-D-12-00154.1.
39. Roh, W., and M. Satoh, 2014: Evaluation of precipitating hydrometeor parameterizations in a single-moment bulk microphysics scheme for deep convective systems over the tropical open ocean. J. Atmos. Sci., 71, 2654-2673, doi:10.1175/JAS-D-13-0252.1.
40. Sakaguchi, K., and Coauthors, 2015: Exploring a multiresolution approach using AMIP simulations. J. Climate, 28, 5549-5574, doi:10.1175/JCLI-D-14-00729.1.
41. Sampe, T., H. Nakamura, A. Goto, and W. Ohfuchi, 2010: Significance of a midlatitude SST frontal zone in the formation of a storm track and an eddy-driven westerly jet. J. Climate, 23, 1793-1814, doi:10.1175/2009JCLI3163.1.
42. Satoh, M., and Y. Kitao, 2013: Numerical examination of the diurnal variation of summer precipitation over southern China. SOLA, 9, 130-134, doi:10.2151/sola.2013-029.
43. Satoh, M., T. Matsuno, H. Tomita, H. Miura, T. Nasuno, and S. Iga, 2008: Nonhydrostatic Icosahedral Atmospheric Model (NICAM) for global cloud resolving simulations. J. Comput. Phys., 227, 3486-3514, doi:10.1016/j.jcp.2007.02.006.
44. Satoh, M., T. Inoue, and H. Miura, 2010: Evaluations of cloud properties of global and local cloud system resolving models using CALIPSO and CloudSat simulators. J. Geophys. Res., 115, D00H14, doi:10.1029/2009JD012247.
45. Satoh, M., and Coauthors, 2012: The Intra-Seasonal Oscillation and its control of tropical cyclones simulated by high-resolution global atmospheric models. Climate Dyn., 39, 2185-2206, doi:10.1007/s00382-011-1235-6.
46. Satoh, M., R. Nihonmatsu, and H. Kubokawa, 2013: Environmental conditions for tropical cyclogenesis associated with African easterly waves. SOLA, 9, 120-124, doi:10.2151/sola.2013-027.
47. Satoh, M., and Coauthors, 2014: The Non-hydrostatic Icosahedral Atmospheric Model: Description and development. Prog. Earth Planet. Sci., 1, 18, doi:10.1186/s40645-014-0018-1.
48. Sekiguchi, M., and T. Nakajima, 2008: A k-distribution-based radiation code and its computational optimization for an atmospheric general circulation model. J. Quant. Spectrosc. Radiat. Transfer, 109, 2779-2793, doi:10.1016/j.jqsrt.2008.07.013.
49. Skamarock, W. C., and J. B. Klemp, 1993: Adaptive grid refinement for two-dimensional and three-dimensional nonhydrostatic atmospheric flow. Mon. Wea. Rev., 121, 788-804, doi:10.1175/1520-0493(1993)121<0788:AGRFTD>2.0.CO;2.
50. Skamarock, W. C., and J. B. Klemp, 2008: A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys., 227, 3465-3485, doi:10.1016/j.jcp.2007.01.037.
51. Skamarock, W. C., J. B. Klemp, M. G. Duda, L. D. Fowler, S.-H. Park, and T. D. Ringler, 2012: A multiscale nonhydrostatic atmospheric model using centroidal voronoi tesselations and C-grid staggering. Mon. Wea. Rev., 140, 3090-3105, doi:10.1175/MWR-D-11-00215.1.
52. Soltow, M., 2011: Event review: Eastern United States heavy precipitation event, March 4-7, 2011. Weather Prediction Center (WPC), National Oceanic and Atmospheric Administration (NOAA), 9 pp. [Available online at http://www.wpc.ncep.noaa.gov/winter_storm_summaries/event_reviews/2011/Eastern_US_Heavy-Precip_March4-7_2011.pdf.].
53. Takata, K., S. Emori, and S. Watanabe, 2003: Development of the minimal advanced treatments of surface interaction and runoff. Global Planet. Change, 38, 209-222, doi:10.1016/S0921-8181(03)00030-4.
54. Tomita, H., 2008a: New microphysics with five and six categories with diagnostic generation of cloud ice. J. Meteor. Soc. Japan, 86A, 121-142, doi:10.2151/jmsj.86A.121.
55. Tomita, H., 2008b: A stretched grid on a sphere by new grid transformation. J. Meteor. Soc. Japan, 86A, 107-119, doi:10.2151/jmsj.86A.107.
56. Tomita, H., and M. Satoh, 2004: A new dynamical framework of nonhydrostatic global model using the icosahedral grid. Fluid Dyn. Res., 34, 357-400, doi:10.1016/j.fluiddyn.2004.03.003.
57. Tomita, H., M. Tsugawa, M. Satoh, and K. Goto, 2001: Shallow water model on a modified icosahedral geodesic grid by using spring dynamics. J. Comput. Phys., 174, 579-613, doi:10.1006/jcph.2001.6897.
58. Tomita, H., M. Satoh, and K. Goto, 2002: An optimization of icosahedral grid by using spring dynamics. J. Comput. Phys., 183, 307-331, doi:10.1006/jcph.2002.7193.
59. Warner, T. T., R. A. Peterson, and R. E. Treadon, 1997: A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction. Bull. Amer. Meteor. Soc., 78, 2599-2617, doi:10.1175/1520-0477(1997)078<2599:ATOLBC>2.0.CO;2.
60. Zarzycki, C. M., M. N. Levy, C. Jablonowski, J. R. Overfelt, M. A. Taylor, and P. A. Ullrich, 2014: Aquaplanet experiments using CAM's variable-resolution dynamical core. J. Climate, 27, 5481-5503, doi:10.1175/JCLI-D-14-00004.1.