東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Estimating Ocean Currents from Autom...

Jakub, Thomas D.

FindBook

Google Book

Amazon

博客來

Estimating Ocean Currents from Automatic Identification System Based Ship Drift Measurements.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Estimating Ocean Currents from Automatic Identification System Based Ship Drift Measurements./
作者:	Jakub, Thomas D.
面頁冊數:	78 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
Contained By:	Dissertation Abstracts International74-09B(E).
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3561979
ISBN:	9781303093913

Estimating Ocean Currents from Automatic Identification System Based Ship Drift Measurements.
Jakub, Thomas D.

Estimating Ocean Currents from Automatic Identification System Based Ship Drift Measurements. - 78 p.

Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.

Thesis (Ph.D.)--University of Colorado at Boulder, 2013.

This item is not available from ProQuest Dissertations & Theses.

Ship drift is a technique that has been used over the last century and a half to estimate ocean currents. Several of the shortcomings of the ship drift technique include obtaining the data from multiple ships, the time delay in getting those ship positions to a data center for processing and the limited resolution based on the amount of time between position measurements. These shortcomings can be overcome through the use of the Automatic Identification System (AIS). AIS enables more precise ocean current estimates, the option of finer resolution and more timely estimates.

ISBN: 9781303093913Subjects--Topical Terms:

1002622
Aerospace engineering.

Estimating Ocean Currents from Automatic Identification System Based Ship Drift Measurements.
LDR:02477nmm a2200301 4500 001 2061503
005 20151006081817.5
008 170521s2013 ||||||||||||||||| ||eng d
020 $a 9781303093913
035 $a (MiAaPQ)AAI3561979
035 $a AAI3561979
040 $a MiAaPQ $c MiAaPQ
100 1 $a Jakub, Thomas D. $3 1270534
245 1 0 $a Estimating Ocean Currents from Automatic Identification System Based Ship Drift Measurements.
300 $a 78 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
500 $a Adviser: Robert Leben.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2013.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Ship drift is a technique that has been used over the last century and a half to estimate ocean currents. Several of the shortcomings of the ship drift technique include obtaining the data from multiple ships, the time delay in getting those ship positions to a data center for processing and the limited resolution based on the amount of time between position measurements. These shortcomings can be overcome through the use of the Automatic Identification System (AIS). AIS enables more precise ocean current estimates, the option of finer resolution and more timely estimates.
520 $a In this work, a demonstration of the use of AIS to compute ocean currents is performed. A corresponding error and sensitivity analysis is performed to help identify under which conditions errors will be smaller. A case study in San Francisco Bay with constant AIS message updates was compared against high frequency radar and demonstrated ocean current magnitude residuals of 19 cm/s for ship tracks in a high signal to noise environment. These ship tracks were only minutes long compared to the normally 12 to 24 hour ship tracks. The Gulf of Mexico case study demonstrated the ability to estimate ocean currents over longer baselines and identified the dependency of the estimates on the accuracy of time measurements. Ultimately, AIS measurements when combined with ship drift can provide another method of estimating ocean currents, particularly when other measurements techniques are not available.
590 $a School code: 0051.
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Ocean engineering. $3 660731
690 $a 0538
690 $a 0547
710 2 $a University of Colorado at Boulder. $b Aerospace Engineering. $3 1030473
773 0 $t Dissertation Abstracts International $g 74-09B(E).
790 $a 0051
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3561979