Component A comprises the production and analysis of an extensive archive of retrospective forecasts to be used to assess and understand historical
decadal prediction skill, as a basis for improvements in all aspects of end - toend decadal prediction, and as a basis for forecasting on annual to decadal timescales.
Not exact matches
Balmaseda, M.A., M.K. Davey, and D.L.T. Anderson, 1995:
Decadal and seasonal dependence of ENSO
prediction skill.
«Contributed to the
skill of retrospective
decadal sea ice
predictions»?.
External radiative forcing contributes to the
skill of retrospective
decadal sea ice
predictions
The
Decadal Climate Prediction Project addresses a range of scientific issues involving the ability of the climate system to be predicted on annual to decadal timescales, the skill that is currently and potentially available, the mechanisms involved in long timescale variability, and the production of forecasts of benefit to both science and
Decadal Climate
Prediction Project addresses a range of scientific issues involving the ability of the climate system to be predicted on annual to
decadal timescales, the skill that is currently and potentially available, the mechanisms involved in long timescale variability, and the production of forecasts of benefit to both science and
decadal timescales, the
skill that is currently and potentially available, the mechanisms involved in long timescale variability, and the production of forecasts of benefit to both science and society
On the one hand you say «I don't know how to assess
skill of
decadal trends» and on the other hand you also claim that the «
prediction of mean temperature at the regional scale can be done fairly well given the robust temperature trend».
As they have matured, climate models are being increasingly used to provide decision - relevant information to end users and policy makers, whose needs are helping define the focus of model development in terms of increasing
prediction skill on regional and
decadal time scales.
I agree that the ambition to make (regional) climate
predictions even at
decadal or longer time scales can not be supported by the current apparent feasibility, given the studies that demonstrate the lack of predictive
skill.
Within the confines of our work with RASM and CESM, we will: (i) quantify the added value of using regional models for downscaling arctic simulations from global models, (ii) address the impacts of high resolution, improved process representations and coupling between model components on
predictions at seasonal to
decadal time scales, (iii) identify the most important processes essential for inclusion in future high resolution GC / ESMs, e.g. ACME, using CESM as a test bed, and (iv) better quantify the relationship between
skill and uncertainty in the Arctic Region for high fidelity models.
However, initialized
prediction ensembles using CESM can skillfully predict low - frequency modulations in the
decadal trends of Arctic sea ice, and the significant
skill scores for Atlantic sector sea ice extent, in particular, suggest that CESM DP future forecasts merit serious consideration.
Therefore,
decadal hydrological
prediction requires an understanding of both the externally forced component and the
prediction skill of internally generated
decadal hydroclimate variability.
There is currently less
skill in predicting precipitation and other variables compared to temperature although progress is expected to be made as a consequence of the
Decadal Climate
Prediction Project (DCPP) and other projects and investigations.
The models do nt attempt to predict weather, are poor at regional
prediction and have no
skill at even
decadal level
prediction.
Evidence of
decadal climate
prediction skill resulting from changes in anthropogenic forcing
It doesn't seem surprising to me that GCM simulations don't give useful
decadal predictions on regional scale (or at least they are just beginning to get to the point where
decadal scale
predictions have useful
skill IIRC).
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
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
Decadal Climate
Prediction System (DePreSys), based on the Hadley Centre Coupled Model, version 3 (HadCM3)(17), a dynamical global climate model (GCM).