to project both how global average temperature will respond to future emissions and
the associated uncertainty in those projections.
Not exact matches
Apart from the
uncertainty associated with the risks noted above and the lack of credible prudence
in the budget
projections, we continue to believe that the forecast for «other revenues» is overstated and that for «direct program expenses» is understated.
Periods that are of possibly the most interest for testing sensitivities
associated with
uncertainties in future
projections are the mid-Holocene (for tropical rainfall, sea ice), the 8.2 kyr event (for the ocean thermohaline circulation), the last two millennia (for decadal / multi-decadal variability), the last interglacial (for ice sheets / sea level) etc..
A common criticism of calculations of fiscal imbalances
in perpetuity is that high
uncertainty associated with very long - term
projections renders such calculations less useful.
In this way the climate scientists can ensure that the
projections are understood with their
associated uncertainties, and the impacts / adaptation researchers can ensure that the climate scientists are aware of the parts of the climate system they are most sensitive to, providing a focus for climate model development efforts.
As Pekka points out, there is considerable
uncertainty associated with the magnitude of
projections, but paleoclimatologic data indicate that they are likely to be sufficient to impair the calcification processes essential for the integrity of many marine species involved
in the food chain, and thus of concern to us to the extent that our civilization is linked to the welfare of ocean biology...
A significant
uncertainty in future
projections of sea level is
associated with dynamical changes
in the Antarctic and Greenland ice sheets and a key aspect of this
uncertainty is the role of ice shelves, how they might respond to climate change, and the effect this could have on the ice sheets.
-LRB-... besides to point out that «the
uncertainty in climate
projections associated with the physical climate model is smaller than the
uncertainty associated with the models of emission scenarios that are used to project carbon dioxide emissions»)