Details
| Original language | English |
|---|---|
| Pages (from-to) | 125-177 |
| Number of pages | 53 |
| Journal | Advances in Geophysics |
| Volume | 65 |
| Issue number | 1 |
| Early online date | 20 Jul 2024 |
| Publication status | Published - 2024 |
Abstract
This chapter presents the contemporary technologies (e.g., tide-gauges, satellite altimetry) and some methodologies to process observations in order to estimate the sea level at a regional or global scale. We discuss the common biases (e.g., vertical land motion, ocean currents, instrumental noise) and how to address them. Highlighting the collaborative efforts of various global agencies, we emphasize a range of routinely updated data products aimed at facilitating sea level monitoring. We underscore a contemporary approach: the integration of machine learning and deep learning algorithms to handle big datasets. These tools promise to be potent instruments for analysing complex patterns, correlations, and nonlinear relationships that traditional models may struggle to capture effectively. Our aspiration is for the ongoing and future evolution of the applications based on these algorithms to furnish invaluable insights into regional variations, extreme events, and long-term trends of sea level change, aiding multi-decadal planning and bolstering resilience strategies crucial for policymakers.
Keywords
- Global Navigation Satellite Systems, Satellite altimetry, Sea level, Tide gauge
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Geophysics
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In: Advances in Geophysics, Vol. 65, No. 1, 2024, p. 125-177.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Space and Earth observations to quantify present-day sea-level change
AU - He, Xiaoxing
AU - Montillet, Jean Philippe
AU - Kermarrec, Gaël
AU - Shum, C. K.
AU - Fernandes, Rui
AU - Huang, Jiahui
AU - Wang, Shengdao
AU - Sun, Xiwen
AU - Zhang, Yu
AU - Schuh, Harald
N1 - Publisher Copyright: © 2024
PY - 2024
Y1 - 2024
N2 - This chapter presents the contemporary technologies (e.g., tide-gauges, satellite altimetry) and some methodologies to process observations in order to estimate the sea level at a regional or global scale. We discuss the common biases (e.g., vertical land motion, ocean currents, instrumental noise) and how to address them. Highlighting the collaborative efforts of various global agencies, we emphasize a range of routinely updated data products aimed at facilitating sea level monitoring. We underscore a contemporary approach: the integration of machine learning and deep learning algorithms to handle big datasets. These tools promise to be potent instruments for analysing complex patterns, correlations, and nonlinear relationships that traditional models may struggle to capture effectively. Our aspiration is for the ongoing and future evolution of the applications based on these algorithms to furnish invaluable insights into regional variations, extreme events, and long-term trends of sea level change, aiding multi-decadal planning and bolstering resilience strategies crucial for policymakers.
AB - This chapter presents the contemporary technologies (e.g., tide-gauges, satellite altimetry) and some methodologies to process observations in order to estimate the sea level at a regional or global scale. We discuss the common biases (e.g., vertical land motion, ocean currents, instrumental noise) and how to address them. Highlighting the collaborative efforts of various global agencies, we emphasize a range of routinely updated data products aimed at facilitating sea level monitoring. We underscore a contemporary approach: the integration of machine learning and deep learning algorithms to handle big datasets. These tools promise to be potent instruments for analysing complex patterns, correlations, and nonlinear relationships that traditional models may struggle to capture effectively. Our aspiration is for the ongoing and future evolution of the applications based on these algorithms to furnish invaluable insights into regional variations, extreme events, and long-term trends of sea level change, aiding multi-decadal planning and bolstering resilience strategies crucial for policymakers.
KW - Global Navigation Satellite Systems
KW - Satellite altimetry
KW - Sea level
KW - Tide gauge
UR - http://www.scopus.com/inward/record.url?scp=85199186579&partnerID=8YFLogxK
U2 - 10.1016/bs.agph.2024.06.001
DO - 10.1016/bs.agph.2024.06.001
M3 - Article
AN - SCOPUS:85199186579
VL - 65
SP - 125
EP - 177
JO - Advances in Geophysics
JF - Advances in Geophysics
SN - 0065-2687
IS - 1
ER -