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A sensitivity and error analysis of ...
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Jakub, Thomas D.
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A sensitivity and error analysis of a sea level reconstruction using satellite altimeter and tide gauge data.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A sensitivity and error analysis of a sea level reconstruction using satellite altimeter and tide gauge data./
Author:
Jakub, Thomas D.
Description:
166 p.
Notes:
Adviser: R. Steven Nerem.
Contained By:
Masters Abstracts International44-06.
Subject:
Engineering, Aerospace. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1435239
ISBN:
9780542716102
A sensitivity and error analysis of a sea level reconstruction using satellite altimeter and tide gauge data.
Jakub, Thomas D.
A sensitivity and error analysis of a sea level reconstruction using satellite altimeter and tide gauge data.
- 166 p.
Adviser: R. Steven Nerem.
Thesis (M.S.)--University of Colorado at Boulder, 2006.
Tide gauges have been used over the last century for measuring sea level in certain locations. The inherent problem with the tide gauges is that they only provide measurements at a single location.
ISBN: 9780542716102Subjects--Topical Terms:
1018395
Engineering, Aerospace.
A sensitivity and error analysis of a sea level reconstruction using satellite altimeter and tide gauge data.
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A sensitivity and error analysis of a sea level reconstruction using satellite altimeter and tide gauge data.
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166 p.
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Adviser: R. Steven Nerem.
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Source: Masters Abstracts International, Volume: 44-06, page: 2867.
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Thesis (M.S.)--University of Colorado at Boulder, 2006.
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Tide gauges have been used over the last century for measuring sea level in certain locations. The inherent problem with the tide gauges is that they only provide measurements at a single location.
520
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In this work, the errors in different sea level reconstructions are quantified using several methods. A sensitivity analysis is performed to determine appropriate parameters to be used in the reconstruction process. These parameters include an appropriate number of Empirical Orthogonal Functions (EOFs) to use, different weighting schemes, the use of EOF 0, a globally constant in height spatial field, and which tide gauge records to use. The Parallel Climate Model provides a dataset to allow quantification of undescribed variability to be made. Errors due to tide gauge distribution are quantified by comparing subset reconstructions to the satellite altimetry. In addition, correlated errors are quantified as the error estimates are not independent in time. All three error sources are combined and used to determine the formal error of the best reconstruction. The resulting sea level reconstruction has a trend of 2.31 +/- 0.05 mm/yr from 1950--2000. (Abstract shortened by UMI.)
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1435239
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