{"title":"South Pacific Convergence Zone driven atmospheric river changes over Dronning Maud Land, Antarctica: Observational and CESM2 LENS2 evidence","authors":"Qingli Wu, Yetang Wang, Zhaosheng Zhai, Min Zhou","doi":"10.1016/j.atmosres.2026.108794","DOIUrl":null,"url":null,"abstract":"<div><div>Atmospheric river (AR) landfalls profoundly impact Antarctic snowfall accumulation, surface melting and ice shelf calving/collapse. However, comprehensive case studies are still required to better understand AR changes and their underlying mechanisms. Here, we use ERA5 reanalysis and Community Earth System Model version 2 (CESM2) ensembles to examine the spatial distribution and long-term trends of Antarctic ARs during 1979–2022, and also investigate the mechanisms behind it by distinguishing between dynamic and thermodynamic effects. Reanalysis shows a strong increase in annual AR frequency over Dronning Maud Land (DML) in Antarctica during 1979–2022, predominantly driven by dynamical processes. Sea surface temperature (SST) anomalies in the South Pacific Convergence Zone (SPCZ) strongly modulate AR intensification over DML by enhancing convection and exciting a Rossby wave train, which deepens the Weddell Sea cyclone anomaly and amplifies downstream high-pressure ridges. Fingerprinting experiments with the 50-member CESM2 ensemble confirm the pivotal role of internal Pacific variability in reproducing observed AR trends. These results highlight the importance of accurately representing SPCZ SST variability for understanding the mechanisms driving Antarctic AR changes.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"335 ","pages":"Article 108794"},"PeriodicalIF":4.5000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016980952600058X","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Atmospheric river (AR) landfalls profoundly impact Antarctic snowfall accumulation, surface melting and ice shelf calving/collapse. However, comprehensive case studies are still required to better understand AR changes and their underlying mechanisms. Here, we use ERA5 reanalysis and Community Earth System Model version 2 (CESM2) ensembles to examine the spatial distribution and long-term trends of Antarctic ARs during 1979–2022, and also investigate the mechanisms behind it by distinguishing between dynamic and thermodynamic effects. Reanalysis shows a strong increase in annual AR frequency over Dronning Maud Land (DML) in Antarctica during 1979–2022, predominantly driven by dynamical processes. Sea surface temperature (SST) anomalies in the South Pacific Convergence Zone (SPCZ) strongly modulate AR intensification over DML by enhancing convection and exciting a Rossby wave train, which deepens the Weddell Sea cyclone anomaly and amplifies downstream high-pressure ridges. Fingerprinting experiments with the 50-member CESM2 ensemble confirm the pivotal role of internal Pacific variability in reproducing observed AR trends. These results highlight the importance of accurately representing SPCZ SST variability for understanding the mechanisms driving Antarctic AR changes.
期刊介绍:
The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.