Sea level rise rates derived from tide gauge and satellite altimeter in Hawaii area
| Main Author: | Department of Civil and Environmental Engineering, University of Hawai'i at Manoa, Coastal Hydraulics Engineering Resilience (CHER) Lab, |
|---|---|
| Other Authors: | Yang, Linqiang, Francis, Oceana |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2018
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/3w3mf49gxp |
| ctrlnum |
0.17632-3w3mf49gxp.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Department of Civil and Environmental Engineering, University of Hawai'i at Manoa, Coastal Hydraulics Engineering Resilience (CHER) Lab,</creator><title>Sea level rise rates derived from tide gauge and satellite altimeter in Hawaii area</title><publisher>Mendeley</publisher><description>The sea-level rise rates presented in this dataset were derived from two techniques in Hawaii area. The first one is tide gauge which gives the relative sea-level rise information, and the other one is satellite altimeter which provides the absolute sea-level rise information.
We downloaded the tide gauge data from the website of Permanent Service for Mean Sea Level (PSMSL). Now there are six stations on operation. After removing the seasonal and common-mode oceanographic signals, We estimated the relative sea-level rise rates which can be used to predict future sea-level rise and in turn map sea level inundation. For the station located in Hilo, HI, We calculated two rates as there were two earthquakes occurred on 1973 and 1975 which may have changed the vertical land motion rates. For this reason, we suggest to use the rate derived from 1975 to 2016 for future sea-level rise prediction.
The satellite altimetry data were downloaded from Copernicus Marine Environment Monitoring Service (CMEMS). The region of the satellite altimetry data is limited to a rectangular area where the latitude is between 17 degrees north and 25 degrees north, and the longitude is between 196 degrees east and 208 degrees east. Because the purpose of this dataset is to predict future sea level rise and map sea-level rise inundation, so we removed the seasonal and common-mode oceanographic signals, and add the Dynamic Atmospheric Corrections (DAC) back before estimating the sea-level rise trend using a linear regression model.
This project was funded by the Hawaii Department of Transportation, HWY-06-16, entitled "Statewide Highway Shoreline Protection Program Study Update." </description><subject>Sea Level Change</subject><contributor>Yang, Linqiang</contributor><contributor>Francis, Oceana</contributor><type>Other:Dataset</type><identifier>10.17632/3w3mf49gxp.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/3w3mf49gxp</relation><date>2018-05-14T06:35:04Z</date><recordID>0.17632-3w3mf49gxp.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Department of Civil and Environmental Engineering, University of Hawai'i at Manoa, Coastal Hydraulics Engineering Resilience (CHER) Lab, |
| author2 |
Yang, Linqiang Francis, Oceana |
| title |
Sea level rise rates derived from tide gauge and satellite altimeter in Hawaii area |
| publisher |
Mendeley |
| publishDate |
2018 |
| topic |
Sea Level Change |
| url |
https:/data.mendeley.com/datasets/3w3mf49gxp |
| contents |
The sea-level rise rates presented in this dataset were derived from two techniques in Hawaii area. The first one is tide gauge which gives the relative sea-level rise information, and the other one is satellite altimeter which provides the absolute sea-level rise information.
We downloaded the tide gauge data from the website of Permanent Service for Mean Sea Level (PSMSL). Now there are six stations on operation. After removing the seasonal and common-mode oceanographic signals, We estimated the relative sea-level rise rates which can be used to predict future sea-level rise and in turn map sea level inundation. For the station located in Hilo, HI, We calculated two rates as there were two earthquakes occurred on 1973 and 1975 which may have changed the vertical land motion rates. For this reason, we suggest to use the rate derived from 1975 to 2016 for future sea-level rise prediction.
The satellite altimetry data were downloaded from Copernicus Marine Environment Monitoring Service (CMEMS). The region of the satellite altimetry data is limited to a rectangular area where the latitude is between 17 degrees north and 25 degrees north, and the longitude is between 196 degrees east and 208 degrees east. Because the purpose of this dataset is to predict future sea level rise and map sea-level rise inundation, so we removed the seasonal and common-mode oceanographic signals, and add the Dynamic Atmospheric Corrections (DAC) back before estimating the sea-level rise trend using a linear regression model.
This project was funded by the Hawaii Department of Transportation, HWY-06-16, entitled "Statewide Highway Shoreline Protection Program Study Update." |
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IOS7969.0.17632-3w3mf49gxp.1 |
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Universitas Islam Indragiri |
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onesearch.perpusnas.go.id |
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804 |
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library:university library |
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Teknologi Pangan UNISI |
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2816 |
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Artikel mulono |
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7969 |
| city |
INDRAGIRI HILIR |
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RIAU |
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1 |
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IOS7969 |
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