This is not particularly surprising, since it is expected that the importance of the new simulations will be seen in the differences between model types (i.e. including carbon cycles, atmospheric chemistry etc.), or in new kinds of diagnostics from say,
the initialized decadal predictions, that weren't available before.
Not exact matches
The techniques for
decadal prediction have advanced somewhat since these earliest attempts (as described in Meehl et al., 2014), but no skilful
initialized predictions have yet been verified.
Further, just as seasonal - to - interannual
predictions start from an estimate of the state of the climate system, there is a growing realization that
decadal and longer - term climate
predictions could be
initialized with estimates of the current observed state of the atmosphere, oceans, cryosphere, and land surface.
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.
Comparing to models with
initialized states, ie attempts at
decadal prediction, would be more interesting.
Mosh says «In current day practice you CAN
initialize to a known state, so that is one approach for
decadal prediction.»
One more thing re Mosh's observation «In current day practice you CAN
initialize to a known state, so that is one approach for
decadal prediction.»
In current day practice you CAN
initialize to a known state, so that is one approach for
decadal prediction.
Meehl, G. A. & Teng, H. Case studies for
initialized decadal hindcasts and
predictions for the Pacific region.