The Added Value Index: A new metric to quantify the added value of regional models

A metric to quantify the value added by high‐resolution models is introduced. It is based on a characteristic spatial distribution of skill rather than the averages of skill values. Normal distribution functions are fit to the model skill distribution of coarse‐ and fine‐resolution models, and a new...

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Published in:Journal of Geophysical Research 2011-06, Vol.116 (D11), p.n/a, Article D11106
Main Authors: Kanamitsu, Masao, DeHaan, Laurel
Format: Article
Language:English
Subjects:
added value
Atmospheric sciences
Climate science
downscaling
Earth sciences
Earth, ocean, space
Exact sciences and technology
forecast skill
Geophysics
regional model
seasonal forecast
Spatial distribution
verification
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description A metric to quantify the value added by high‐resolution models is introduced. It is based on a characteristic spatial distribution of skill rather than the averages of skill values. Normal distribution functions are fit to the model skill distribution of coarse‐ and fine‐resolution models, and a new metric (Added Value Index, AVI) is defined as the area enclosed by the two distribution functions, with information on the way the two curves cross each other. The AVI is computed for a case of downscaling seasonal forecasts and is shown to properly provide a different degree of added value by high‐resolution models. Key Points New metric to quantify added value of regional model is presented Simple fit of model to observation is not an appropriate measure of added value New metric is shown to work well
doi_str_mv 10.1029/2011JD015597
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source Wiley Online Library AGU 2017; Wiley-Blackwell Read & Publish Collection
subjects added value
Atmospheric sciences
Climate science
downscaling
Earth sciences
Earth, ocean, space
Exact sciences and technology
forecast skill
Geophysics
regional model
seasonal forecast
Spatial distribution
verification
title The Added Value Index: A new metric to quantify the added value of regional models
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