Comparing to models with initialized states, ie attempts
at decadal prediction, would be more interesting.
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.
It's quite clear that if we could run our models
at a higher resolution we could do a much better job — tomorrow — in terms of our seasonal and
decadal predictions.
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.
«International Conferences on Subseasonal to
Decadal Prediction» are to be held 17 - 21 Sep 2018
at NCAR, Boulder, USA.
IMHO, the reason this made huge news
at least in Europe (where I am now) is because it is mostly in Europe that the large weather
prediction centers are pushing this idea of «
decadal predictions».
This seemed to me like perhaps a more realistic effort
at decadal climate
prediction.
As these things are fitting in category of predictable - and global
decadal volcanic
prediction isn't as an amusing game
at this time - though the «right» volcanic events could change this into a new poplar fetish.
Jan 15, 2018: For the MiKlip II project (short for «
decadal climate
predictions»), a magnetic tape library has been put into operation
at the DKRZ to store the resulting project data.
Professor Adam Scaife, the head of monthly to
decadal prediction at the Met Office Hadley Centre, said: «The end of the recent slowdown in global warming is due to a flip in Pacific sea - surface temperatures.
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».
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.
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.
The models do nt attempt to predict weather, are poor
at regional
prediction and have no skill
at even
decadal level
prediction.
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).
For
decadal scale variations a 60 year cycle, which seems to correlate temperatures and the PDO, is well established see the post» Global Cooling - Methods and Testable Decadal Predictions» at http://climatesense-norpag.blogsp
decadal scale variations a 60 year cycle, which seems to correlate temperatures and the PDO, is well established see the post» Global Cooling - Methods and Testable
Decadal Predictions» at http://climatesense-norpag.blogsp
Decadal Predictions»
at http://climatesense-norpag.blogspot.com.