Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends

Southern Hemisphere (SH) storminess has increased in the satellite era and recent work suggests comprehensive climate models significantly underestimate the trend. Here, we revisit this reanalysis-model trend discrepancy to better understand the mechanisms underlie it. A comprehensive like-for-like analysis shows reanalysis trends exhibit large uncertainty, and coupled climate model simulations exhibit weaker trends than most but not all reanalyses. However, simulations with prescribed sea surface temperature (SST) exhibit significantly greater storminess trends, particularly in the South Pacific, implying SST trend discrepancies in coupled simulations impact storminess trends. Using pacemaker simulations that correct Southern Ocean and tropical east Pacific SST trend discrepancies, we show that storminess trends in coupled simulations are underestimated because they do not capture the enhanced storminess resulting from Southern Ocean cooling and La-Nina-like teleconnection trends. Our findings emphasize large reanalysis uncertainty in SH circulation trends and the impact of regional SST trend discrepancies on circulation trends.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2024-10-19
DOI
https://doi.org/10.1038/s41612-024-00801-3
Citations
7
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.98

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article

Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends

Isla Ruth Simpson, Yue Yu, Tiffany A. Shaw, Joonsuk M. Kang et al.
7 citations
npj Climate and Atmospheric Science
Climate variability and models
1.98
article

Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends

Isla Ruth Simpson, Yue Yu, Tiffany A. Shaw, Joonsuk M. Kang, Sarah M. Kang
article en
7 citations

Abstract

Southern Hemisphere (SH) storminess has increased in the satellite era and recent work suggests comprehensive climate models significantly underestimate the trend. Here, we revisit this reanalysis-model trend discrepancy to better understand the mechanisms underlie it. A comprehensive like-for-like analysis shows reanalysis trends exhibit large uncertainty, and coupled climate model simulations exhibit weaker trends than most but not all reanalyses. However, simulations with prescribed sea surface temperature (SST) exhibit significantly greater storminess trends, particularly in the South Pacific, implying SST trend discrepancies in coupled simulations impact storminess trends. Using pacemaker simulations that correct Southern Ocean and tropical east Pacific SST trend discrepancies, we show that storminess trends in coupled simulations are underestimated because they do not capture the enhanced storminess resulting from Southern Ocean cooling and La-Nina-like teleconnection trends. Our findings emphasize large reanalysis uncertainty in SH circulation trends and the impact of regional SST trend discrepancies on circulation trends.

npj Climate and Atmospheric ScienceVol. 7(1)
Ministry of Natural Resources (CN), University of Chicago (US), Second Institute of Oceanography (CN), NSF NCAR Climate and Global Dynamics Laboratory (US), Max Planck Institute for Meteorology (DE)
National Science Foundation, State Key Laboratory of Satellite Ocean Environment Dynamics, National Oceanic and Atmospheric Administration
Climate action
Openalex Percentile: Top 14%
Climate variability and models
1.98
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Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends — Isla Ruth Simpson, Yue Yu, et al. · npj Climate and Atmospheric Science (2024) | TGRS Research Map | TGRS