multimodel

Black circles indicate the I² of the multimodel mean taken over one model group.

AGU Day 3 part C: How good are predictions from climate models? | Serendipity 2010

Here we analyze multimodel ensembles for the A2 and B1 emission scenarios produced for the fourth assessment report of the Intergovernmental Panel on Climate Change, with the goal of identifying regions projected to experience (i) high magnitudes of local climate change, (ii) development of novel 21st-century climates, and/or (iii) the disappearance of extant climates

IPCC and Data Access « Climate Audit 2007

To ensure the improved skill exhibited by the multimodel scheme is statistically significant, we perform rigorous hypothesis tests comparing the skill of multimodels with individual models 'skill.

Watts Up With That? 2010

A total of six multimodel schemes are considered that includes combinations based on pooling of ensembles as well as based on the long-term skill of the models.

Watts Up With That? 2010

Analyses of weights also show that the proposed multimodel combination methodology assigns higher weights for GCMs and lesser weights for climatology during El Nino and La Nina conditions.

Watts Up With That? 2010

The MSE estimates are converted into weights for each GCM for developing multimodel tercile probabilities.

Watts Up With That? 2010

On the other hand, due to the limited skill of GCMs during neutral conditions over the tropical Pacific, the methodology assigns higher weights for climatology resulting in improved skill from the multimodel combinations.

Watts Up With That? 2010

Thus, analyzing GCMs 'skill contingent on the relevant predictor state provide an alternate approach for multimodel combination such that years with limited skill could be replaced with climatology.

Watts Up With That? 2010

Burnham KP, Anderson DR (2002) Model selection and multimodel inference.

PLoS ONE Alerts: New Articles Leah R. Gerber et al. 2010

Abstract: Recent research in seasonal climate prediction has focused on combining multiple atmospheric General Circulation Models (GCMs) to develop multimodel ensembles.

Watts Up With That? 2010