Estimation of Relative Sea Level Change in Locations Without Tide Gauges Using Artificial Neural Networks
Sea level rise due to climate change poses an increasing threat to coastal ecosystems, infrastructure, and human settlements. However, accurately estimating sea level changes in regions without tide gauge observations remains a major challenge. While satellite altimetry provides wide spatial coverag...
Saved in:
| Main Authors: | Heeryun Kim, Young Il Park, Wansik Ko, Taehyun Yoon, Jeong-Hwan Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/7/1243 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similar Items
-
Sea level trends along the South African coast from 1993 to 2022 using XTRACK altimetry, tide gauges, and GNSS measurements
by: Franck Eitel Kemgang Ghomsi, et al.
Published: (2025-02-01) -
Estimating vertical land motion-adjusted sea level rise in a data-sparse and vulnerable coastal region
by: Ashraf Dewan, et al.
Published: (2025-12-01) -
Seasonal Cycle in Sea Level Across the Coastal Zone
by: Rui M. Ponte, et al.
Published: (2024-12-01) -
On the combination of altimetry and tide gauge observations in the Norwegian coastal zone
by: Mysen Eirik, et al.
Published: (2025-05-01) -
Internal tide oceanic tomography
by: Zhongxiang Zhao
Published: (2016-09-01)