Open AccessThe Added Value Index: A new metric to quantify the added value of regional models
Author(s) -
Kanamitsu Masao,
DeHaan Laurel
Publication year - 2011
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2011jd015597
Subject(s) - downscaling , metric (unit) , index (typography) , value (mathematics) , mathematics , distribution (mathematics) , resolution (logic) , statistics , computer science , mathematical analysis , meteorology , physics , artificial intelligence , operations management , world wide web , economics , precipitation
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.