The effects of the RAW filter on the climatology and forecast skill of the SPEEDY model

Monthly Weather Review

Volumn 139, Issue 2, 2011, Pages 608-619

  Amezcua, Javier ^a   Kalnay, Eugenia ^a   Williams, Paul D ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF READING   (United Kingdom)

Author keywords

Climatology; Filtering techniques; Forecast verification; Forecasting; General circulation models

Indexed keywords

ATMOSPHERIC GENERAL CIRCULATION MODELS; FIELD LEVEL; FILTERING TECHNIQUE; FORECAST VERIFICATION; GENERAL CIRCULATION MODELS; LEADTIME; MODEL VARIABLES; NUMERICAL DAMPING; NUMERICAL INTEGRATIONS; PARAMETERIZATIONS; PARAMETERIZED MODEL; PRIMITIVE EQUATIONS; REANALYSIS; RELATIVE HUMIDITIES; SIMPLE MODIFICATIONS; SURFACE PRESSURES; WILLIAMS;

ATMOSPHERIC HUMIDITY; CLIMATOLOGY;

WEATHER FORECASTING;

ATMOSPHERIC GENERAL CIRCULATION MODEL; ATMOSPHERIC MODELING; CLIMATOLOGY; DATA PROCESSING; PARAMETERIZATION; WEATHER FORECASTING;

EID: 79953229612     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3530.1     Document Type: Article

References (20)

1. Asselin, R., 1972: Frequency filter for time integrations. Mon. Wea. Rev., 100, 487-490.
2. Bourke, W., 1974: A multilevel spectral model. I. Formulation and hemispheric integrations. Mon. Wea. Rev., 102, 687-701.
3. Déqué, M., and D. Cariolle, 1986: Some destabilizing properties of the Asselin time filter. Mon. Wea. Rev., 114, 880-884.
4. Durran,D. R., 1991: The third-order Adams-Bashforthmethod:An attractive alternative to leapfrog time differencing. Mon. Wea. Rev., 119, 702-720.
5. Elmore, K., and Coauthors, 2006: Field significance revisited: Spatial bias errors in forecasts as applied to the eta model. Mon. Wea. Rev., 134, 519-531.
6. Kalnay, E., 2003: Atmospheric Modelling, Data Assimilation, and Predictability. Cambridge University Press, 364 pp.
7. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
8. Kantha, L., and C. Clayson, 2000: Numerical Models of Oceans and Oceanic Processes. International Geophysical Series, Vol. 66, Academic Press, 750 pp.
9. Livezey, R., and W. Chen, 1983: Statistical field significance and its determination by Monte Carlo techniques. Mon. Wea. Rev., 111, 46-59.
10. Lorenz, E., 1963: Deterministic nonperiodic flow. J. Atmos. Sci., 21, 130-141.
11. Miyoshi, T., 2005: Ensemble Kalman filter experiments with a primitive-equation global model. Ph.D. thesis, University of Maryland, College Park, College Park, MD, 226 pp.
12. Molteni, F., 2003: Atmospheric simulations using a GCM with simplified physical parametrizations. I: Model climatology and variability in multi-decadal experiments. Climate Dyn., 20, 175-191.
13. Pfeffer, R. L., I. M. Navon, and X. Zou, 1992: A comparison of the impact of two time-differencing schemes on the NASA-GLAS climate model. Mon. Wea. Rev., 120, 1381-1393.
14. Robert, A. J., 1966: The integration of a low order spectral form of the primitive meteorological equations. J. Meteor. Soc. Japan, 44, 237-245.
15. Wilks, D. S., 2005: Statistical Methods in the Atmospheric Sciences. 2nd ed. Academic Press, 648 pp.
16. Williams, P. D., 2009: A proposed modification to the Robert-Asselin time filter. Mon. Wea. Rev., 137, 2538-2546.
17. Williams, P. D., 2011: The RAW filter: An improvement to the Robert-Asselin filter in semi-implicit integrations. Mon. Wea. Rev., in press.
18. Williamson,D. L., 1983:Description of NCAR Community Climate Model (CCMOB). NCAR Tech. Note NCAR/TN-210+STR, 88 pp.
19. Williamson,D. L., and J. G. Olson, 2003: Dependence of aqua-planet simulations on time step. Quart. J. Roy. Meteor. Soc., 129, 2049-2064.
20. Zhao, B., and Q. Zhong, 2009: The dynamical and climate tests of an atmospheric general circulation model using the second-order Adams-Bashforth method. Acta Meteor. Sin., 23, 738-749.