Predictability

Joshua Hacker; James Hansen; Judith Berner; Yang Quan Chen; Gidon Eshel; Gregory Hakim; Steven Lazarus; Sharanya Majumdar; Rebecca Morss; Andrew Poje; Vitalii Sheremet; Youmin Tang; Colleen Webb

doi:10.1175/BAMS-86-12-1733

Predictability

Joshua Hacker, James Hansen, Judith Berner, Yang Quan Chen, Gidon Eshel, Gregory Hakim, Steven Lazarus, Sharanya Majumdar, Rebecca Morss, Andrew Poje, Vitalii Sheremet, Youmin Tang, Colleen Webb

Atmospheric Sciences

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Predictability is intrinsic to a system, and the atmosphere most likely has predictability properties distinct from those of any model. This paper discusses three topics based on this definition of predictability. First, model error and initial-condition error are considered, given that unknowable predictability means the two may never be completely separated. Second, the implications of the choice of norms used to measure the results of previous predictability studies are outlined. Finally, the potential for generalization of concepts and results is highlighted.

Original language	English (US)
Pages (from-to)	1733-1737
Number of pages	5
Journal	Bulletin of the American Meteorological Society
Volume	86
Issue number	12
DOIs	https://doi.org/10.1175/BAMS-86-12-1733
State	Published - Dec 1 2005

ASJC Scopus subject areas

Atmospheric Science

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10.1175/BAMS-86-12-1733

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Predictability. / Hacker, Joshua; Hansen, James; Berner, Judith; Chen, Yang Quan; Eshel, Gidon; Hakim, Gregory; Lazarus, Steven; Majumdar, Sharanya; Morss, Rebecca; Poje, Andrew; Sheremet, Vitalii; Tang, Youmin; Webb, Colleen.

In: Bulletin of the American Meteorological Society, Vol. 86, No. 12, 01.12.2005, p. 1733-1737.

Research output: Contribution to journal › Article › peer-review

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AU - Majumdar, Sharanya

AU - Morss, Rebecca

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