Advection and Diffusion Inferred from SST Anomaly Time Series

Leonid I. Piterbarg and Alexander G. Ostrovskii
Additional contact information
Leonid I. Piterbarg: University of Southern California, Center for Applied Mathematical Sciences
Alexander G. Ostrovskii: Kyushu University, Research Institute for Applied Mechanics

Chapter Chapter 10 in Advection and Diffusion in Random Media, 1997, pp 235-303 from Springer

Abstract: Abstract In chapter 9 we introduced the background physics for the stochastic model originated by Hasselmann (1976). So far Hasselmann’s theory is the only theory that describes SST nonseasonal variability in the middle latitudes. The advection-diffusion equation (9.42) governs SST anomaly transport and dissipation. Since (9.42) is identical to (6.1) and (7.1), we can use the autoregressive and maximum likelihood estimators developed in chapters 6–8 for extracting SST anomaly advection, diffusion, feedback, and the atmospheric forcing from observations. We will focus on the estimation of the velocity and diffusivity.

Keywords: Diffusion Estimate; Kuroshio Current; Subtropical Gyre; Kuroshio Extension; Ocean Mixed Layer (search for similar items in EconPapers)
Date: 1997
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-4458-3_10

Ordering information: This item can be ordered from
http://www.springer.com/9781475744583

DOI: 10.1007/978-1-4757-4458-3_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().