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

Research output: Contribution to journalArticlepeer-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 languageEnglish (US)
Pages (from-to)1733-1737
Number of pages5
JournalBulletin of the American Meteorological Society
Volume86
Issue number12
DOIs
StatePublished - Dec 2005

ASJC Scopus subject areas

  • Atmospheric Science

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