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Coastal shallow water diurnal warming.

Zhu, Xiaofang.

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Coastal shallow water diurnal warming.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Coastal shallow water diurnal warming./
Author:	Zhu, Xiaofang.
Description:	162 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
Contained By:	Dissertation Abstracts International76-10B(E).
Subject:	Remote sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3704990
ISBN:	9781321777253

Coastal shallow water diurnal warming.
Zhu, Xiaofang.

Coastal shallow water diurnal warming. - 162 p.

Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.

Thesis (Ph.D.)--University of Miami, 2015.

This item is not available from ProQuest Dissertations & Theses.

A good understanding of diurnal warming phenomenon is important for satellite sea surface temperature (SST) validation against in-situ buoy data and satellite data merging. For the coastal region, it also helps to improve the satellite data application to predict ecosystem health such as coral reef bleaching. Compared to its open ocean counterparts that have been studied extensively and modeled with good success, coastal diurnal warming is rarely studied. This study summarizes one of the first studies which attempts to study the coastal diurnal warming comprehensively, considering many aspects of coastal characteristics, including the influence of tidal impacts and geographic locations, using an integrated approach including in-situ data analysis, modeling and satellite SST analysis.

ISBN: 9781321777253Subjects--Topical Terms:

535394
Remote sensing.

Coastal shallow water diurnal warming.
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020 $a 9781321777253
035 $a (MiAaPQ)AAI3704990
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100 1 $a Zhu, Xiaofang. $3 3190149
245 1 0 $a Coastal shallow water diurnal warming.
300 $a 162 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
500 $a Adviser: Peter J. Minnett.
502 $a Thesis (Ph.D.)--University of Miami, 2015.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a A good understanding of diurnal warming phenomenon is important for satellite sea surface temperature (SST) validation against in-situ buoy data and satellite data merging. For the coastal region, it also helps to improve the satellite data application to predict ecosystem health such as coral reef bleaching. Compared to its open ocean counterparts that have been studied extensively and modeled with good success, coastal diurnal warming is rarely studied. This study summarizes one of the first studies which attempts to study the coastal diurnal warming comprehensively, considering many aspects of coastal characteristics, including the influence of tidal impacts and geographic locations, using an integrated approach including in-situ data analysis, modeling and satellite SST analysis.
520 $a First, two in-situ datasets at the Caribbean Sea and at the Great Barrier Reef region were studied. We found that most stations have clear diurnal warming signals at sub-surface depths. Similar to open ocean cases, the warming is influenced by wind and insolation. Coastal tidal impact on warming was quantified and found to be limited. Water depths, station reef types, and relative locations of the station to the barrier reef chain in the east-west direction were found to affect the warming significantly. Second, three one-dimensional diurnal warming models are used for simulation. The simple "box model" predicts the warming amplitudes best during strong and intermediate (>5 ms -1) wind speeds while the POSH (Profiles of Ocean Surface Heating) model predicts the low wind warming best, though the modeled heat does not penetrate sufficiently downward. Finally, coastal SST from polar-orbiting and geostationary satellites are tested. Comparing SST against in-situ data yielded bias of < 0.15K, and standard deviations of between 0.56K and 0.74K, similar or better than previous studies. Geostationary data captures diurnal warming well both in amplitudes and timing, while polar data captures the warming with various degree of success.
590 $a School code: 0125.
650 4 $a Remote sensing. $3 535394
650 4 $a Environmental science. $3 677245
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710 2 $a University of Miami. $b Applied Marine Physics (Marine). $3 3175828
773 0 $t Dissertation Abstracts International $g 76-10B(E).
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791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3704990