Internal Wind Driven Ocean Circulation Variability Delays the Time of Emergence of Externally Forced Sea Surface Temperature Trends

Abstract In parts of the global ocean, large internal variability continues to mask the detection of externally forced sea surface temperature (SST) trends in observations and climate models. Such regions of large internal variability are typically where wind driven ocean dynamical processes contribute heavily to SST variability. Through analysis of two climate model ensembles, we find that internal wind driven ocean circulation variability delays the time of emergence of SST signals nearly everywhere, but the delay is longest (>10 years) in dynamically active regions like the tropical oceans. We also find that internal wind driven ocean circulation variability is the dominant contributor to changes in the amplitude of internal SST variability over the historical period. Results suggest that inter‐model differences in wind driven SST variability may be a key contributor to inter‐model differences in the time of emergence of externally forced SST signals in climate change scenarios.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-04-09
DOI
https://doi.org/10.1029/2024gl111878
Citations
1
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
1.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Internal Wind Driven Ocean Circulation Variability Delays the Time of Emergence of Externally Forced Sea Surface Temperature Trends

Sarah M. Larson, Kay McMonigal
1 citations
Geophysical Research Letters
Oceanographic and Atmospheric Processes
1.79
article

Internal Wind Driven Ocean Circulation Variability Delays the Time of Emergence of Externally Forced Sea Surface Temperature Trends

Sarah M. Larson, Kay McMonigal
article en
1 citations

Abstract

Abstract In parts of the global ocean, large internal variability continues to mask the detection of externally forced sea surface temperature (SST) trends in observations and climate models. Such regions of large internal variability are typically where wind driven ocean dynamical processes contribute heavily to SST variability. Through analysis of two climate model ensembles, we find that internal wind driven ocean circulation variability delays the time of emergence of SST signals nearly everywhere, but the delay is longest (>10 years) in dynamically active regions like the tropical oceans. We also find that internal wind driven ocean circulation variability is the dominant contributor to changes in the amplitude of internal SST variability over the historical period. Results suggest that inter‐model differences in wind driven SST variability may be a key contributor to inter‐model differences in the time of emergence of externally forced SST signals in climate change scenarios.

Geophysical Research LettersVol. 52(7)
North Carolina State University (US), University of Alaska Fairbanks (US)
National Science Foundation, Division of Atmospheric and Geospace Sciences
Openalex Percentile: Top 19%
Oceanographic and Atmospheric Processes
1.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Internal Wind Driven Ocean Circulation Variability Delays the Time of Emergence of Externally Forced Sea Surface Temperature Trends — Sarah M. Larson, Kay McMonigal · Geophysical Research Letters (2025) | TGRS Research Map | TGRS