Toward a model space and model independence metric

Details Toward a model space and model independence metric Toward a model space and model independence metric

Mar 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3505705a&link_type=abstract

Geophysical Research Letters, Volume 35, Issue 5, CiteID L05705

Physics

5

Hydrology: Uncertainty Assessment (3275), Global Change: Global Climate Models (3337, 4928), Hydrology: Estimation And Forecasting, Global Change: Land/Atmosphere Interactions (1218, 1843, 3322)

Scientific paper

Understanding the relationship between computer-based models and the environment they simulate is becoming increasingly important as we try to predict how the earth's climate will change. As a surrogate for the representation of uncertainty in a prediction problem, it is common to use the range of behaviour from a set of models (an ensemble), and the ensemble mean as the `best guess' prediction. We suggest a `model space' metric, which, by providing one relevant definition of model independence, could allow us to begin to understand the relationship between model spread and prediction uncertainty. This in turn could allow the minimisation of bias from the inclusion of similar models in ensembles and quantification of how much independent information each model contributes to the prediction problem.

Affiliated with

Also associated with

No associations

Rating

Toward a model space and model independence metric does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Toward a model space and model independence metric, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Toward a model space and model independence metric will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-957552