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Published on: June 13, 2020
Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
Weiqing Han1, Gerald A Meehl2, Detlef Stammer3
11Department of Atmospheric and Oceanic Sciences, University of Colorado, UCB 311, Boulder, CO 80309 USA.
Understanding natural climate modes is crucial for accurate sea level rise (SLR) predictions. This review details spatial patterns of sea level variability linked to climate modes, essential for coastal adaptation strategies.
Area of Science:
- * Climate Science
- * Oceanography
- * Environmental Science
Background:
- * Global sea level rise (SLR) poses significant threats to coastal populations and low-lying islands.
- * Regional sea level variations deviate from global averages due to geophysical processes and climate variability.
- * Distinguishing natural climate modes from anthropogenic influences on regional SLR remains a challenge.
Purpose of the Study:
- * To review current knowledge on spatial patterns of sea level variability associated with natural climate modes.
- * To focus on decadal-to-multidecadal variability and its impact on regional sea level changes.
- * To identify the imprint of specific climate modes on observed sea level patterns.
Main Methods:
- * Comprehensive literature review of scientific understanding.
- * Analysis of spatial patterns of sea level variability linked to natural climate modes.
- * Examination of driving mechanisms for sea level changes across different ocean basins.
Main Results:
- * Detailed elaboration of sea level patterns associated with major climate modes (Pacific, Indian, Atlantic, Arctic, Southern Oceans).
- * Identification of interannual-to-multidecadal variability in sea level linked to these modes.
- * Discussion of the complex interplay between natural variability and anthropogenic forcing.
Conclusions:
- * Natural climate modes significantly influence regional sea level variations.
- * Accounting for these modes is essential for improving near-term SLR predictions and future projections.
- * Further research is needed to fully understand and predict regional sea level patterns.
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