Informatics and Applications
2017, Volume 11, Issue 2, pp 65-73
APPLICATION OF QUASI-RANDOM ENSEMBLE CALCULATIONS FOR DETERMINATION OF CLIMATE MODEL OPTIMAL PARAMETERS
Abstract
By analyzing a randomly generated set of runs, each 2000 years in length, the author has considered the uncertainty in 12 mixing and transport parameters. Constructing a quantitative measure for the model error made it possible to address both the inverse problem of estimation of model parameters and the direct problem of model predictions. The results represent an attempt at tuning a three-dimensional climate model by a strictly defined procedure which, nevertheless, considers the whole of the appropriate parameter space. The modeling approach is thus to match model outputs to observations while model inputs (parameters) are initially only weakly constrained.
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[+] About this article
Title
APPLICATION OF QUASI-RANDOM ENSEMBLE CALCULATIONS FOR DETERMINATION OF CLIMATE MODEL OPTIMAL PARAMETERS
Journal
Informatics and Applications
2017, Volume 11, Issue 2, pp 65-73
Cover Date
2017-06-30
DOI
10.14357/19922264170208
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
global climate model; model parameters estimation; latin hypercube
Authors
V. P. Parkhomenko  , 
Author Affiliations
A. A. Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
N. E. Bauman Moscow State Technical University, 5 Baumanskaya 2nd Str., Moscow 105005, Russian Federation
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