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

Utilization of satellite-derived sal...

D'Addezio, Joseph Matthew.

FindBook

Google Book

Amazon

博客來

Utilization of satellite-derived salinity to study Indian Ocean climate variability.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Utilization of satellite-derived salinity to study Indian Ocean climate variability./
作者:	D'Addezio, Joseph Matthew.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	225 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Contained By:	Dissertation Abstracts International78-02B(E).
標題:	Physical oceanography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10165071
ISBN:	9781369194807

Utilization of satellite-derived salinity to study Indian Ocean climate variability.
D'Addezio, Joseph Matthew.

Utilization of satellite-derived salinity to study Indian Ocean climate variability. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 225 p.

Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.

Thesis (Ph.D.)--University of South Carolina, 2016.

For several decades, researchers have explored Indian Ocean climate variability primarily using numerical models because of a lack of observations. Remote sensing technology has helped overcome this scarcity of observational data, but satellite-derived salinity has only been recently made available by the ESA's Soil Moisture and Ocean Salinity (SMOS, operating since November 2009--present) and NASA's Aquarius SAC-D (operated during June 2011--June 2015) satellites. Along with the Lagrangian in situ Argo floats array, these new datasets may be used to validate widely used numerical models, such as the HYbrid Coordinate Ocean Model (HYCOM), and also potentially observe new salinity phenomena that were previously not resolved by less capable observational systems.

ISBN: 9781369194807Subjects--Topical Terms:

3168433
Physical oceanography.

Utilization of satellite-derived salinity to study Indian Ocean climate variability.
LDR:03954nmm a2200313 4500 001 2120823
005 20170724102534.5
008 180830s2016 ||||||||||||||||| ||eng d
020 $a 9781369194807
035 $a (MiAaPQ)AAI10165071
035 $a AAI10165071
040 $a MiAaPQ $c MiAaPQ
100 1 $a D'Addezio, Joseph Matthew. $3 3282780
245 1 0 $a Utilization of satellite-derived salinity to study Indian Ocean climate variability.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 225 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
500 $a Adviser: Subrahmanyam Bulusu.
502 $a Thesis (Ph.D.)--University of South Carolina, 2016.
520 $a For several decades, researchers have explored Indian Ocean climate variability primarily using numerical models because of a lack of observations. Remote sensing technology has helped overcome this scarcity of observational data, but satellite-derived salinity has only been recently made available by the ESA's Soil Moisture and Ocean Salinity (SMOS, operating since November 2009--present) and NASA's Aquarius SAC-D (operated during June 2011--June 2015) satellites. Along with the Lagrangian in situ Argo floats array, these new datasets may be used to validate widely used numerical models, such as the HYbrid Coordinate Ocean Model (HYCOM), and also potentially observe new salinity phenomena that were previously not resolved by less capable observational systems.
520 $a In the northern Indian Ocean this study found Aquarius sea surface salinity (SSS) data useful for validating model simulations because of its higher horizontal resolution when compared with the Argo floats dataset. Analyses of the regional subsurface found that HYCOM produced spurious vertical profiles of salinity in the near surface environment due to over mixing and also overestimated meridional depth-integrated salt transports because of erroneous subsurface currents it manufactured.
520 $a The southwest tropical Indian Ocean (SWTIO) has been linked to year-to-year changes in the Asian monsoon and is strongly forced by regional climate scale variability in the form of both El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). This study found that strong remote forcing in the form of annual downwelling Rossby waves combined with local salinity stratification generates a seasonal barrier layer with maximum thickness in boreal fall (August-October). A new methodology for estimating barrier layer thickness (BLT) was also introduced that combines the satellite-derived SSS with subsurface Argo data. Additionally, correlation between interannual variability in SWTIO BLT and MJO formation over the region was described. The discovery of annual MJO genesis within the SWTIO is important for future forecasting efforts that with this new information may be able to better predict interannual variability in the Asian and Australian monsoons as well as the phase of ENSO.
520 $a Finally, the Agulhas western boundary current has been shown to be an important driver of climate variability because of leakage of salt and heat from the southern Indian Ocean into the southern Atlantic Ocean that occurs at its point of retroflection. This leakage affects Atlantic Meridional Overturning Circulation (AMOC), but is not well quantified because of poor observational density in the southern hemisphere at high latitudes. This study demonstrated that both Aquarius and SMOS data have high accuracy in the region when compared with Argo and the higher spatio-temporal resolutions of both satellites make them advantageous for improving both the monitoring and prediction of future changes in AMOC, and thus global climate.
590 $a School code: 0202.
650 4 $a Physical oceanography. $3 3168433
690 $a 0415
710 2 $a University of South Carolina. $b Marine Science. $3 1019496
773 0 $t Dissertation Abstracts International $g 78-02B(E).
790 $a 0202
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10165071