Not exact matches
The highest
prediction of 6.0 million square kilometers is based on a
dynamical model forecast using the US Navy Earth
System Model (NESM), whereas the lowest
prediction of 3.4 million square kilometers comes from a heuristic contribution.
Accurate long - term scientific
predictions require conserved quantities: in solar
system dynamics this conserved quantity is
dynamical energy; in Hansen's climate - change theory it is thermal energy.
This suggested that
dynamical models were more confident (individually and as a group) as more information was integrated in the
prediction systems.
Recent improvements in forecast skill of the climate
system by
dynamical climate models could lead to improvements in seasonal streamflow
predictions.
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
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
prediction system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System (Can
system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual
Prediction System
Prediction System (Can
System (CanSIPS).
A
dynamical climate model driven hydrologic
prediction system for the Fraser River, Canada.
Crucifix, M. and J. Rougier, 2009, «On the use of simple
dynamical systems for climate
predictions: A Bayesian
prediction of the next glacial inception», Published in Eur.
They acknowledge that the models are nonlinear
dynamical systems and exhibit chaos, sensitive dependence on initial conditions that make long term
prediction impossible.
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.
We examined the potential skill of decadal
predictions using the newly developed Decadal Climate
Prediction System (DePreSys), based on the Hadley Centre Coupled Model, version 3 (HadCM3)(17), a
dynamical global climate model (GCM).