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).
Karspeck, A., S. Yeager, G. Danabasoglu, and H. Teng, 2014: An evaluation of experimental
decadal predictions using CCSM4.
Not exact matches
The new research
used the Met Office Hadley Centre's
Decadal Prediction System and found that the model was good at predicting summer Sahel rainfall over the forthcoming five years.
Under the
Decadal and Regional Climate
Prediction Using Earth System Models (EaSM) program, the National Science Foundation and the U.S. Departments of Agriculture and Energy will kick in a total of $ 50 million a year for 5 years.
The agencies will invest nearly $ 50 million annually in the new program, dubbed «
Decadal and Regional Climate
Prediction Using Earth System Models,» or EaSM for short, and expect to deliver improved versions within the next three years.
While each of the scientists not involved with the Met Office said they saw the potential usefulness of
decadal forecasting, they said that any particular
predictions at present aren't at the stage where they can be
used for any kind of decision - making.
A number of recent studies linking changes in the North Atlantic ocean circulation to sea ice extent led Yeager to think that it would also be possible to make
decadal predictions for Arctic winter sea ice cover
using the NCAR - based Community Earth System Model...
The second study addresses this issue by
using a suite of
decadal prediction experiments performed with a climate model capable of simulating multi-year La Niña events.
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.
During 2015 our
decadal prediction system was upgraded to
use the latest high resolution version of our coupled climate model, consistent with our seasonal forecasts.
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.
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.
Develop a framework for understanding
decadal variability through metrics that can be
used as a strategy to assess and validate
decadal climate
predictions simulations.
The key is accurately representing the large - scale ocean circulation and associated heat transport in the climate models
used to make the
decadal predictions.
Ensemble
decadal prediction simulations
using the Community Earth System Model (CESM) can skillfully predict past
decadal rates of Atlantic winter sea ice change because they do well at predicting THC - driven ocean heat content change in the vicinity of the winter sea ice edge in the Labrador, Greenland, Irminger, and Barents Seas.
A new study published in Scientific Reports has developed a state - of - the - art drought and wildfire
prediction system based on the
decadal climate
prediction approach
using the NCAR Community Earth System Model.
The authors commented «This implies that the current [climate] models are ill - suited to localised
decadal predictions, even though they are
used as inputs for policy making.»»
This investigation will also identify origins of the potential predictability
using composite analysis and large - scale teleconnections (Southern Oscillation, Pacific
Decadal Oscillation, and North Atlantic Oscillation), providing the basis upon which seasonal
predictions can be developed.
There are three main novelties this time around that I think are noteworthy: the
use of more interactive Earth System models, a focus on initiallised
decadal predictions, and the inclusion of key paleo - climate simulations as part of the suite of runs.