Est modus in rebus: analytical properties of multi-model ensembles

被引：52
|
作者：
Potempski, S. [1 ,2 ]
Galmarini, S. [1 ]
机构：
[1] Commiss European Communities, DG Joint Res Ctr, Inst Environm & Sustainabil, I-21020 Ispra, VA, Italy
[2] Inst Atom Energy, PL-05400 Otwock, Poland
来源：
ATMOSPHERIC CHEMISTRY AND PHYSICS | 2009年 / 9卷 / 24期
关键词：
SENSITIVITY-ANALYSIS; SUPERENSEMBLE FORECASTS; MODEL; PREDICTION; WEATHER; SKILL;
D O I：
10.5194/acp-9-9471-2009
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper we investigate some basic properties of the multi-model ensemble systems, which can be deduced from a general characteristic of statistical distributions of the ensemble members with the help of mathematical tools. In particular we show how to find optimal linear combination of model results, which minimizes the mean square error both in the case of uncorrelated and correlated models. By proving basic estimations we try to deduce general properties describing multi-model ensemble systems. We show also how mathematical formalism can be used for investigation of the characteristics of such systems.
引用
收藏
页码：9471 / 9489
页数：19
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