Sentences with phrase «dynamical downscaling model»

GFDL researchers have developed a regional dynamical downscaling model for Atlantic hurricanes and tested it by comparing with observed hurricane activity since 1980.

Not exact matches

Rockel, B., C.L. Castro, R.A. Pielke Sr., H. von Storch, and G. Leoncini, 2008: Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models.
In sensitivity experiments the influence of removed orography of Greenland on the Arctic flow patterns and cyclone tracks during winter have been determined using a global coupled model and a dynamical downscaling with the regional atmospheric model HIRHAM.
Yang, and R.A. Pielke Sr., 2008: Assessment of three dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) Model.
Dynamical downscaling uses high - resolution climate models to represent global or regional sub-domains, and uses either observed or lower - resolution AOGCM data as their boundary conditions.
Wood, A. W., L. R. Leung, V. Sridhar, and D. P. Lettenmaier, 2004: Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs (link is external).
Wood, A.W., L.R Leung, V. Sridhar, and D.P. Lettenmaier, 2004: Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs.
These results are obtained from 16 global general circulation models downscaled with different combinations of dynamical methods... http://dx.doi.org/10.1175/JCLI-D-12-00766.1
Dynamical downscaling, or the use of Regional Climate Models (RCMs), does not share the limitations of statistical downscaling.
Knutson, T. R., J. J. Sirutis, G. A. Vecchi, S. Garner, M. Zhao, H. - S. Kim, M. Bender, R. E. Tuleya, I. M. Held, and G. Villarini, 2013: Dynamical downscaling projections of twenty - first - century Atlantic hurricane activity: CMIP3 and CMIP5 model - based scenarios.
Dynamical downscaling projections of twenty - first - century Atlantic hurricane activity: CMIP3 and CMIP5 model - based scenarios
This study evaluates the hydrologic prediction skill of a dynamical climate model - driven hydrologic prediction system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System (CanSIPS).
In the last 10 years, downscaling techniques, both dynamical (i.e. Regional Climate Model) and statistical methods, have been developed to obtain fine resolution climate change scenarios.
In a series of Atlantic basin - specific dynamical downscaling studies (Bender et al. 2010; Knutson et al. 2013), we attempted to address both of these limitations by letting the Atlantic basin regional model of Knutson et al. (2008) provide the overall storm frequency information, and then downscaling each individual storm from the regional model study into the GFDL hurricane prediction system.
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