Sea level trends at locations of the United States with more than 100 years of recording
Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is comput...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Parker, Albert [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media B.V. 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Natural hazards - Springer Netherlands, 1988, 65(2012), 1 vom: 25. Sept., Seite 1011-1021 |
|---|---|
| Übergeordnetes Werk: |
volume:65 ; year:2012 ; number:1 ; day:25 ; month:09 ; pages:1011-1021 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11069-012-0400-5 |
|---|
| Katalog-ID: |
OLC2053656301 |
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| 520 | |a Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. | ||
| 650 | 4 | |a Sea level rise | |
| 650 | 4 | |a Sea level acceleration | |
| 650 | 4 | |a Climate change | |
| 650 | 4 | |a Sea level oscillations | |
| 650 | 4 | |a Teleconnections | |
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10.1007/s11069-012-0400-5 doi (DE-627)OLC2053656301 (DE-He213)s11069-012-0400-5-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Parker, Albert verfasserin aut Sea level trends at locations of the United States with more than 100 years of recording 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2012 Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. Sea level rise Sea level acceleration Climate change Sea level oscillations Teleconnections Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 1 vom: 25. Sept., Seite 1011-1021 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:1 day:25 month:09 pages:1011-1021 https://doi.org/10.1007/s11069-012-0400-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 1 25 09 1011-1021 |
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10.1007/s11069-012-0400-5 doi (DE-627)OLC2053656301 (DE-He213)s11069-012-0400-5-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Parker, Albert verfasserin aut Sea level trends at locations of the United States with more than 100 years of recording 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2012 Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. Sea level rise Sea level acceleration Climate change Sea level oscillations Teleconnections Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 1 vom: 25. Sept., Seite 1011-1021 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:1 day:25 month:09 pages:1011-1021 https://doi.org/10.1007/s11069-012-0400-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 1 25 09 1011-1021 |
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10.1007/s11069-012-0400-5 doi (DE-627)OLC2053656301 (DE-He213)s11069-012-0400-5-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Parker, Albert verfasserin aut Sea level trends at locations of the United States with more than 100 years of recording 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2012 Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. Sea level rise Sea level acceleration Climate change Sea level oscillations Teleconnections Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 1 vom: 25. Sept., Seite 1011-1021 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:1 day:25 month:09 pages:1011-1021 https://doi.org/10.1007/s11069-012-0400-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 1 25 09 1011-1021 |
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10.1007/s11069-012-0400-5 doi (DE-627)OLC2053656301 (DE-He213)s11069-012-0400-5-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Parker, Albert verfasserin aut Sea level trends at locations of the United States with more than 100 years of recording 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2012 Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. Sea level rise Sea level acceleration Climate change Sea level oscillations Teleconnections Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 1 vom: 25. Sept., Seite 1011-1021 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:1 day:25 month:09 pages:1011-1021 https://doi.org/10.1007/s11069-012-0400-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 1 25 09 1011-1021 |
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10.1007/s11069-012-0400-5 doi (DE-627)OLC2053656301 (DE-He213)s11069-012-0400-5-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Parker, Albert verfasserin aut Sea level trends at locations of the United States with more than 100 years of recording 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2012 Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. Sea level rise Sea level acceleration Climate change Sea level oscillations Teleconnections Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 1 vom: 25. Sept., Seite 1011-1021 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:1 day:25 month:09 pages:1011-1021 https://doi.org/10.1007/s11069-012-0400-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 1 25 09 1011-1021 |
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Sea level trends at locations of the United States with more than 100 years of recording |
| abstract |
Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. © Springer Science+Business Media B.V. 2012 |
| abstractGer |
Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. © Springer Science+Business Media B.V. 2012 |
| abstract_unstemmed |
Abstract The paper presents the sea level rises (SLR) computed for the United States tide gauges with more than 100 years of recording. It is shown that the monthly sea levels oscillate about an almost linear longer-term trend with important multidecadal periodicities. The SLR time history is computed by linear fitting of 20, 30 and 60 years of data up to a given time ($ SLR_{20} $, $ SLR_{30} $ and $ SLR_{60} $) and is compared to the value obtained by considering all the data. It is shown that $ SLR_{60} $ has smaller oscillations, while $ SLR_{20} $ and $ SLR_{30} $ have much larger and frequent fluctuations. While $ SLR_{60} $ may oscillate ±10–30 % about the latest longer-term value, $ SLR_{30} $ may fluctuate ±50–100 % and $ SLR_{20} $ ± 100–200 %. The values obtained by considering all the data with a minimum of 60 years ($ SLR_{A} $) also fluctuate ±5–15 % about the latest longer-term value. This indicates the need to use the time history of $ SLR_{60} $ or $ SLR_{A} $ when the record is longer than 60 years to assess the accelerating trend. For all the stations, the sea levels regularly oscillate about the linear longer-term trend, and if acceleration has to be computed, this is eventually negative, that is, the SLR is reducing. © Springer Science+Business Media B.V. 2012 |
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| title_short |
Sea level trends at locations of the United States with more than 100 years of recording |
| url |
https://doi.org/10.1007/s11069-012-0400-5 |
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| doi_str |
10.1007/s11069-012-0400-5 |
| up_date |
2024-07-03T20:02:56.446Z |
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