Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Mesoscale variability and Lagrangian...
~
Zhou, Long.
Linked to FindBook
Google Book
Amazon
博客來
Mesoscale variability and Lagrangian statistics in the tropical North Atlantic.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Mesoscale variability and Lagrangian statistics in the tropical North Atlantic./
Author:
Zhou, Long.
Description:
105 p.
Notes:
Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1586.
Contained By:
Dissertation Abstracts International71-03B.
Subject:
Physical Oceanography. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3401129
ISBN:
9781109677867
Mesoscale variability and Lagrangian statistics in the tropical North Atlantic.
Zhou, Long.
Mesoscale variability and Lagrangian statistics in the tropical North Atlantic.
- 105 p.
Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1586.
Thesis (Ph.D.)--University of Rhode Island, 2009.
Daily sea level anomaly (SLA) maps during a period of three years (2003-2006) are computed from multiple satellite altimeter along-track measurements via objective analysis with a specified data-derived space-time correlation model. The mapping results are verified with in-situ hydrographic data and have optimized resolutions. To provide background information on dispersion studies at surface and depths, in the same domain as the Lagrangian Isopycnal Dispersion Experiment (LIDEX) in the tropical North Atlantic, the mesoscale variability as well as statistical properties of coherent eddies are investigated based on geostrophic velocities derived from SLA field. The spatially and temporally averaged total EKE derived from SLA is caused by primarily coherent eddies (60%) and currents (24%).
ISBN: 9781109677867Subjects--Topical Terms:
1019163
Physical Oceanography.
Mesoscale variability and Lagrangian statistics in the tropical North Atlantic.
LDR
:03301nam a2200325 4500
001
1965337
005
20141022133320.5
008
150210s2009 ||||||||||||||||| ||eng d
020
$a
9781109677867
035
$a
(MiAaPQ)AAI3401129
035
$a
AAI3401129
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Zhou, Long.
$3
2101980
245
1 0
$a
Mesoscale variability and Lagrangian statistics in the tropical North Atlantic.
300
$a
105 p.
500
$a
Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1586.
500
$a
Adviser: David Hebert.
502
$a
Thesis (Ph.D.)--University of Rhode Island, 2009.
520
$a
Daily sea level anomaly (SLA) maps during a period of three years (2003-2006) are computed from multiple satellite altimeter along-track measurements via objective analysis with a specified data-derived space-time correlation model. The mapping results are verified with in-situ hydrographic data and have optimized resolutions. To provide background information on dispersion studies at surface and depths, in the same domain as the Lagrangian Isopycnal Dispersion Experiment (LIDEX) in the tropical North Atlantic, the mesoscale variability as well as statistical properties of coherent eddies are investigated based on geostrophic velocities derived from SLA field. The spatially and temporally averaged total EKE derived from SLA is caused by primarily coherent eddies (60%) and currents (24%).
520
$a
For the particle dispersion at the ocean surface in the tropical North Atlantic, we use the stirring velocities of the mesoscale eddies derived from satellite altimeter measurements to determine particle motions. A kinematic numerical model with a daily time step is used to simulate the horizontal dispersion of advected particles by the two-dimensional eddy flow field within 1°N to 13°N and 18°W to 38°W. The altimeter-based simulation is validated with 2 in-situ datasets of surface drifting buoys.
520
$a
A standardized method is proposed to construct mean flow field and decompose turbulent eddy velocities from the mean flow based on optimal numbers of independent observations for all Lagrangian datasets. The Lagrangian statistics of turbulent flow field are determined for all three datasets. It is found that the turbulent diffusivity is dominated by the mesoscale eddy stirring process.
520
$a
Spatial variability is investigated in two sub-regions of the study area. Both numerical and in-situ statistics show anisotropy features such that zonal component is stronger than the meridional counterpart in every sub-region and across the domain. Temporal variability of the mesoscale turbulent field reveals a seasonal cycle in the Lagrangian statistics. Based on 900 dispersion experiments of simulated mesoscale eddy stirring, the absolute diffusivity can be scaled in a linear relationship as the turbulent velocity variance times 4.4 days (zonal) and 2.4 days (meridional). The results consistent with other studies at the sea surface.
590
$a
School code: 0186.
650
4
$a
Physical Oceanography.
$3
1019163
650
4
$a
Engineering, Marine and Ocean.
$3
1019064
650
4
$a
Physics, Fluid and Plasma.
$3
1018402
690
$a
0415
690
$a
0547
690
$a
0759
710
2
$a
University of Rhode Island.
$3
1022014
773
0
$t
Dissertation Abstracts International
$g
71-03B.
790
$a
0186
791
$a
Ph.D.
792
$a
2009
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3401129
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9260336
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login