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Low frequency North Atlantic SST var...

George Mason University.

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Low frequency North Atlantic SST variability: Weather noise forcing and coupled response.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Low frequency North Atlantic SST variability: Weather noise forcing and coupled response./
Author:	Fan, Meizhu.
Description:	205 p.
Notes:	Adviser: Edwin K. Schneider.
Contained By:	Dissertation Abstracts International70-02B.
Subject:	Atmospheric Sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3346870
ISBN:	9781109021554

Low frequency North Atlantic SST variability: Weather noise forcing and coupled response.
Fan, Meizhu.

Low frequency North Atlantic SST variability: Weather noise forcing and coupled response. - 205 p.

Adviser: Edwin K. Schneider.

Thesis (Ph.D.)--George Mason University, 2009.

A method to diagnose the causes of low frequency SST variability is developed, tested and applied in an ideal case and real climate. In the ideal case, a free simulation of the COLA CGCM is taken as synthetic observations. For real climate, we take NCEP reanalysis atmospheric data and Reynolds SST as observations. Both the synthetic and actual observation data show that weather noise is the main component of atmospheric variability at subtropics and high-latitude.

ISBN: 9781109021554Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Low frequency North Atlantic SST variability: Weather noise forcing and coupled response.
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020 $a 9781109021554
035 $a (UMI)AAI3346870
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100 1 $a Fan, Meizhu. $3 1019536
245 1 0 $a Low frequency North Atlantic SST variability: Weather noise forcing and coupled response.
300 $a 205 p.
500 $a Adviser: Edwin K. Schneider.
500 $a Source: Dissertation Abstracts International, Volume: 70-02, Section: B, page: 0893.
502 $a Thesis (Ph.D.)--George Mason University, 2009.
520 $a A method to diagnose the causes of low frequency SST variability is developed, tested and applied in an ideal case and real climate. In the ideal case, a free simulation of the COLA CGCM is taken as synthetic observations. For real climate, we take NCEP reanalysis atmospheric data and Reynolds SST as observations. Both the synthetic and actual observation data show that weather noise is the main component of atmospheric variability at subtropics and high-latitude.
520 $a Diagnoses of results from the ideal case suggest that most of the synthetic observed SST variability can be reproduced by the weather noise surface fluxes forcing. This includes the "observed" low frequency SST patterns in the North Atlantic and their corresponding time evolution. Among all the noise surface fluxes, heat flux plays a major role.
520 $a The results from simulations using actual observations also suggest that the observed SST variability is mostly atmospheric weather noise forced. The regional atmospheric noise forcing, especially the heat flux noise forcing, is the major source of the low frequency SST variability in the North Atlantic.
520 $a The observed SST tripole mode has about a 12 year period and it can be reasonably reproduced by the weather noise forcing in terms of its period, spatial pattern and variance. Based on our diagnosis, it is argued that the SST tripole is mainly forced by local atmospheric heat flux noise. The gyre circulation plays a secondary role: the anomalous gyre circulation advects mean thermal features across the inter-gyre boundary, and the mean gyre advection carries SST anomalies along the inter-gyre boundary. The diagnosis is compared with a delayed oscillator theory. We find that the delayed oscillator theory is not supported and that the SST tripole mode is forced by weather noise heat flux noise. However, the result may be model dependent.
590 $a School code: 0883.
650 4 $a Atmospheric Sciences. $3 1019179
650 4 $a Physical Oceanography. $3 1019163
690 $a 0415
690 $a 0725
710 2 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 70-02B.
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790 1 0 $a Schneider, Edwin K., $e advisor
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3346870