1991
DOI: 10.1034/j.1600-0889.1991.t01-3-00003.x
|View full text |Cite
|
Sign up to set email alerts
|

The general circulation of the atmosphere: an evolving problem

Abstract: We trace the development of the prevailing ideas about the general circulation of the atmosphere from the middle 17th century up to 1970. During this time, a quantity U, representing the extent to which we have not yet explained those features of the circulation of which we are aware, appears to have gone through four distinct cycles. Since 1970, no additional cycles are apparent, and the outstanding feature of the new work seems to be diversification. We propose that the study of the general circulation is a … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2008
2008
2020
2020

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…If the data is not made stationary, the phase space reconstruction will not be properly achieved and the deterministic components of the data will not be adequately revealed leading to misleading results in the computed values of Lyapunov exponents and predictability [20,21]. 3. Estimate the embedding dimension m, using either the correlation dimension method or the method of false nearest neighbor (FNN).…”
Section: Theoretical Considerations Phase Space Reconstructionmentioning
confidence: 99%
See 1 more Smart Citation
“…If the data is not made stationary, the phase space reconstruction will not be properly achieved and the deterministic components of the data will not be adequately revealed leading to misleading results in the computed values of Lyapunov exponents and predictability [20,21]. 3. Estimate the embedding dimension m, using either the correlation dimension method or the method of false nearest neighbor (FNN).…”
Section: Theoretical Considerations Phase Space Reconstructionmentioning
confidence: 99%
“…This discovery of chaotic dynamics of the atmosphere spelled doom for long-term weather forecasting i.e. the best one can hope to achieve is to predict the weather a few days in advance [2] and that the atmosphere might have an intrinsic limit of predictability [3]. After further research, scientists estimate that even with near-perfect computer models and measurements, they could only forecast the day-to-day weather two to three weeks into the future while average weekly weather is less chaotic and monthly average conditions are even more predictable.…”
Section: Introductionmentioning
confidence: 99%