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 | |
| State | Published - Dec 2005 |
Fingerprint
ASJC Scopus subject areas
- Atmospheric Science
Cite this
Predictability. / Hacker, Joshua; Hansen, James; Berner, Judith; Chen, YangQuan Q.; Eshel, Gidon; Hakim, Gregory; Lazarus, Steven; Majumdar, Sharanya J; Morss, Rebecca; Poje, Andrew; Sheremet, Vitalii; Tang, Youmin; Webb, Colleen.
In: Bulletin of the American Meteorological Society, Vol. 86, No. 12, 12.2005, p. 1733-1737.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predictability
AU - Hacker, Joshua
AU - Hansen, James
AU - Berner, Judith
AU - Chen, YangQuan Q.
AU - Eshel, Gidon
AU - Hakim, Gregory
AU - Lazarus, Steven
AU - Majumdar, Sharanya J
AU - Morss, Rebecca
AU - Poje, Andrew
AU - Sheremet, Vitalii
AU - Tang, Youmin
AU - Webb, Colleen
PY - 2005/12
Y1 - 2005/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=31644434197&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=31644434197&partnerID=8YFLogxK
U2 - 10.1175/BAMS-86-12-1733
DO - 10.1175/BAMS-86-12-1733
M3 - Article
AN - SCOPUS:31644434197
VL - 86
SP - 1733
EP - 1737
JO - Earth Interactions
JF - Earth Interactions
SN - 0003-0007
IS - 12
ER -