Sentences with word «intermodel»

With these limitations in mind, the Cess approach has been widely used in characterizing and understanding many aspects of intermodel differences in cloud feedback and climate sensitivity between GCMs»

Our results further indicate that while the change in cloud forcing may not accurately represent the sign or magnitude of cloud feedback, it does provide a useful metric for assessing intermodel differences in cloud feedback.

Arctic sea - ice cover will diminish rapidly under global warming, but its rate of retreat in boreal winter shows large intermodel differences across the models involved in Phase 5 of the Coupled Model Intercomparison Project...

The benefits of the SRES scenarios are of course that the different groups all do the same thing, so that intermodel comparisons can be consistent, and this is important for IPCC - type assessments, but that is not the only science worth doing.

Regarding the emergent constraint used in Brient & Schneider (2016), it is noteworthy that if the models are weighted by reference to their consistency with the data, regression of ECS on TLC reflection variability explains almost none of the intermodel ECS variation — the R - squared is negligible.

The spatial extent of the areas experiencing decreased vegetation carbon increases monotonically with warming above +3 °C, as does the intermodel agreement on these reductions.

But it is well established that the dominant contributor to intermodel variation in climate sensitivity is differences in low cloud feedback.

Very recently, Ringer et al. (2014) and Brient et al. (2015) analyzed the CMIP5 fully coupled ocean — atmosphere models and their corresponding Cess experiments and confirmed again that the Cess experiments provide a good guide to the global cloud feedbacks determined from the coupled simulations, including the intermodel spread.

It is thought that most of the intermodel spread in climate sensitivity, and hence presumably in future warming, arises from differences in model behaviour in the tropics.

Previous studies demonstrated that the cloud feedbacks derived from the Cess experiments well capture the intermodel differences of feedbacks in the equilibrium response of slab ocean models to a doubling of CO2 (e.g., Ringer et al. 2006).

The level of confidence in this estimate is related to the trust one gives to the link between the lower - tropospheric characteristics these indices aim to quantify and the low - cloud feedback, which primarily controls the intermodel spread in ECS.

Analysis of extended time series data could then be used to improve models (104), e.g., an effort to determine the Atlantic's τ and assimilate it into ocean models could reduce the vast intra - and intermodel (44) spread regarding the proximity to a tipping point (102).

Regression of ECS on the strength of the relationship between TLC reflection variability and SST with models weighted by how «good» they are, using either Brient & Schneider's model weightings or those derived directly from model likelihoods given the observational probability density, explains almost none of the intermodel variance in ECS.

In spite of well - known biases of tropospheric temperature and humidity in climate models, comparisons indicate that the intermodel range in the rate of clear - sky radiative damping are small despite large intermodel variability in the mean clear - sky OLR.