A sensitivity study of the Kelvin wave and the Madden-Julian Oscillation in aquaplanet simulations by the Naval Research Laboratory Spectral Element Atmospheric Model

Journal of Geophysical Research Atmospheres

Volumn 113, Issue 20, 2008, Pages

  Kim, Young Joon ^a   Giraldo, Francis X ^b   Flatau, Maria ^a   Liou, Chi Sann ^a   Peng, Melinda S ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

^b NAVAL POSTGRADUATE SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MOVEMENTS; COMPUTER SIMULATION; FLOW INTERACTIONS; MATHEMATICAL MODELS; PARAMETERIZATION; PRECIPITATION (METEOROLOGY); VISCOSITY;

ATMOSPHERIC MODELING; ATMOSPHERIC WAVE; CONVECTIVE SYSTEM; EQUATORIAL WAVE; KELVIN WAVE; MADDEN-JULIAN OSCILLATION; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); SENSITIVITY ANALYSIS; SIMULATION;

EID: 58149267693     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008JD009887     Document Type: Article

References (25)

1. Cho, H.-K., K. P. Bowman, and G. R. North (2004), Equatorial waves including the Madden-Julian Oscillation in TRMM rainfall and OLR data, J. Clim., 17, 4387-4406, doi:10.1175/3215.1.
2. Emanuel, K. A., and M. Zivkovic-Rothman (1999), Development and evaluation of a convection scheme for use in climate models, J. Atmos. Sei., 56, 1766-1782, doi:10.1175/1520-0469(1999)056<1766: DAEOAC>2.0.CO;2.
3. Gates, W. L. (1992), AMIP: The Atmospheric Model Intercomparison Project, Bull. Am. Meteorol. Soc., 73, 1962-1970, doi:10.1175/ 1520-0477(1992)073<1962:ATAMIP>2.0.CO;2.
4. Giraldo, F. X. (1999), Trajectory calculations for spherical geodesic grids in Cartesian space, Mon. Weather Rev., 127, 1651-1662, doi:10.1175/1520-0493(1999)127<1651:TCFSGG>2.0.CO;2.
5. Giraldo, F. X. (2005), Semi-implicit time-integrators for a scalable spectral element atmospheric model, Q. J. R. Meteorol. Soc., 131, 2431-2454, doi:10.1256/qj.03.218.
6. Giraldo, F. X. (2006), Hybrid Eulerian-Lagrangian semi-implicit time-integrators, Comput. Math. Appl., 52, 1325-1342, doi:10.1016/ j.camwa.2006.11.009.
7. Giraldo, F. X., and T. E. Rosmond (2004), A scalable spectral element Eulerian atmospheric model (SEE-AM) for NWP: Dynamical core tests, Mon. Weather Rev., 132, 133-153, doi:10.1175/ 1520-0493(2004)132<0133:ASSEEA>2.0.CO;2.
8. Hogan, T. F., and R. L. Pauley (2007), The impact of convective momentum transport on tropical cyclone track forecasts using the Emanuel cumulus parameterization, Mon. Weather Rev., 135, 1195-1207, doi:10.1175/ MWR3365.1.
9. Hogan, T. F., and T. E. Rosmond (1991), The description of the Navy Operational Global Atmospheric Prediction System's spectral forecast model, Mon. Weather Rev., 119, 1786-1815, doi:10.1175/ 1520-0493(1991)119<1786:TDOTNO>2.0.CO;2.
10. Inness, P. M., J. M. Slingo, S. J. Woolnough, R. B. Neale, and V. D. Pope (2001), Organization of tropical convection in a GCM with varying vertical resolution; implications for the simulation of the Madden-Julian Oscillation, Clim. Dyn., 17, 777-793, doi:10.1007/ s003820000148.
11. Kalnay, E., et al. (1996), The NCEP/NCAR 40-year reanalysis project, Bull. Am. Meteorol. Soc., 77, 437-471, doi:10.1175/ 1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
12. Kim, Y-J. (2007), Balance of drag between the middle and lower atmospheres in a global atmospheric forecast model, J. Geophys. Res., 112, D13104, doi:10.1029/2007JD008647.
13. Lee, M.-I., I.-S. Kang, and B. E. Mapes (2003), Impacts of cumulus convection parameterization on aqua-planet AGCM simulations of tropical intraseasonal variability, J. Meteorol. Soc. Jpn., 81, 963-992, doi:10.2151/jmsj.81.963.
14. Lorant, V., and J.-F. Royer (2001), Sensitivity of equatorial convection to horizontal resolution in aqua-planet simulations with a variable-resolution GCM, Mon. Weather Rev., 129, 2730-2745, doi:10.1175/1520-0493(2001)129<2730:SOECTH>2.0.CO;2.
15. Masunaga, H., T. S. L'Ecuyer, and C. D. Kummerow (2006), The Madden-Julian Oscillation recorded in early observations from the Tropical Rainfall Measuring Mission (TRMM), J. Atmos. Sci., 63, 2777-2794, doi:10.1175/JAS3783.1.
16. Moncrieff, M., M. A. Shapiro, J. M. Slingo, and F. Molteni (2007), Collaborative research at the intersection of weather and climate, WMO Bull., 56(3), 204-211.
17. Neale, R. B., and B. J. Hoskins (2001a), A standard test for AGCMs and their physical parameterizations. I: The proposal, Atmos. Sci. Lett., 1, 101-107, doi:10.1006/asle.2000.0019.
18. Neale, R. B., and B. J. Hoskins (2001b), A standard test for AGCMS and their physical parameterizations. II: Results for, the Met Office model, Atmos, Sci. Lett., 1, 108-114, doi:10.1006/asle.2000.0020.
19. Peng, M. S., J. A. Ridout, and T. F. Hogan (2004), Recent modifications of the Emanuel convective scheme in the Naval Operational Global Atmospheric Prediction System, Mon. Weather Rev., 132, 1254-1268, doi:10.1175/1520-0493(2004)132<1254:RMOTEC>2.0.CO;2.
20. Polvani, L. M., R. K. Scott, and S. J. Thomas (2004), Numerically converged solutions of the global primitive equations for testing the dynamical core of atmospheric GCMs, Mon. Weather Rev., 132, 2539-2552, doi:10.1175/MWR2788.1.
21. Salby, M. L., and H. H. Hendon (1994), Intraseasonal behavior of clouds, temperature, and motion in the tropics, J. Atmos. Sci., 51, 2207-2224, doi:10.1175/1520-0469(1994)051<2207:IBOCTA>2.0.CO;2.
22. Tomita, H., H. Miura, S. Iga, T. Nasuno, and M. Satoh (2005), A global cloud-resolving simulation: Preliminary results from an aqua planet experiment, Geophys. Res. Lea, 32, L08805, doi:10.1029/ 2005GLO22459.
23. Weare, B. C. (2004), A comparison of AMIP II model cloud layer properties with ISCCP D2 estimates, Clim. Dyn., 22, 281-292, doi:10.1007/s00382-003-0374-9.
24. Wheeler, M., and G. N. Kiladis (1999), Convectively coupled equatorial waves: Analysis of clouds and temperature in the wavenumber-frequency domain, J. Atmos. Sci., 56, 374-399, doi:10.1175/ 1520-0469(1999)056<0374:CCEWAO>2.0.CO;2.
25. Williamson, D. L., and J. G. Olson (2003), Dependence of aqua-planet simulations on time step, Q. J. R. Meteorol. Soc., 129, 2049-2064.