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

Abstract. 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.

• Publication year

  2009

• Venue

  Atmospheric Chemistry and Physics

• Publication date

  2009-12-16

• Fields of study

  Mathematics, Physics, Environmental Science

• Identifiers
  DOI 10.5194/ACP-9-9471-2009
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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