DECADAL SEA LEVEL TREND AND VARIABILITY FROM SATELLITE ALTIMETER DATA

Title
DECADAL SEA LEVEL TREND AND VARIABILITY FROM SATELLITE ALTIMETER DATA
Author(s)
Josef Y. Cherniawsky1; 강석구; Rob G. Bell; Michael G.G. Foreman
KIOST Author(s)
Kang, Sok Kuh(강석구)
Alternative Author(s)
강석구
Publication Year
2015-10-19
Abstract
Global mean sea level trends are routinely computed using satellite altimetry data. These trends remainrelatively stable with time, with the latest value near 3.3 mm yr-1 (e.g., http://sealevel.colorado.edu/).However, regional maps of sea level trends appear less stable and it has been recognized that decadal andinterdecadal variability of the oceans are the likely reasons behind the regional changes in trend values. Weuse Versatile Analysis of ~23-year long time series of sea level from collocated TOPEX, Poseidon, Jason-1and Jason-2 (TPJ) altimeters to infer decadal trends and their uncertainties due to the aliasing (covariances)from interannual and longer-term global and regional atmosphere-ocean variability, such as the PacificDecadal Oscillation, the 18.6-year nodal modulation, the El Niñ o/Southern Oscillation, the Indian OceanDipole, or the Southern Annual Mode. Examples of these analyses are presented for several regions in thePacific and Indian Oceans and the effects of the length of the TPJ time series on the computed covariancesare discussed.ea level trends appear less stable and it has been recognized that decadal andinterdecadal variability of the oceans are the likely reasons behind the regional changes in trend values. Weuse Versatile Analysis of ~23-year long time series of sea level from collocated TOPEX, Poseidon, Jason-1and Jason-2 (TPJ) altimeters to infer decadal trends and their uncertainties due to the aliasing (covariances)from interannual and longer-term global and regional atmosphere-ocean variability, such as the PacificDecadal Oscillation, the 18.6-year nodal modulation, the El Niñ o/Southern Oscillation, the Indian OceanDipole, or the Southern Annual Mode. Examples of these analyses are presented for several regions in thePacific and Indian Oceans and the effects of the length of the TPJ time series on the computed covariancesare discussed.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25248
Bibliographic Citation
GLOSS-GE-14 and Indian Ocean Sea Level Science Workshop, 2015
Publisher
GLOSS-GE-14
Type
Conference
Language
English
Publisher
GLOSS-GE-14
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