{"title":"Winter monsoon variability accompanies Xisha SST–North China hydroclimate teleconnection reversal during the Medieval climate anomaly","authors":"Leilei Jiang,Guijin Fang,Ziyun Huang,Yanmin Qin,Bailing Zhao,Xianyu Huang,Panpan Wu,Yuhao Tao,Ruogu Wang,Kefu Yu","doi":"10.1038/s41612-026-01565-8","DOIUrl":null,"url":null,"abstract":"Abstract Winter sea surface temperature (SST) in the South China Sea is a precursor of North China hydroclimate, but the relationship’s long-term stability remains uncertain. Using monthly resolved Xisha coral Sr/Ca-SST and three hydroclimate reconstructions analyzed at native temporal resolution, we find that the Medieval Climate Anomaly (MCA, 1149–1205 CE) is the only sampled interval with a cross-proxy-consistent positive relationship. The annually resolved Zheng record remains positive after detrending and autocorrelation correction ( r = 0.476, p adj = 0.043), whereas non-MCA relationships are predominantly negative or near zero. East Asian winter monsoon (EAWM)-related variability is largest during the MCA among the six intervals, yet its association with teleconnection strength is weak ( r = 0.52, p = 0.29), arguing against a universal threshold. Independent central-Pacific coral evidence indicates altered tropical-Pacific variability. Because winter-to-summer SST memory persists, we interpret the MCA reversal as downstream atmospheric reorganization, with EAWM variability as a possible preconditioning factor.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"4 1","pages":""},"PeriodicalIF":9.6000,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-026-01565-8","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Winter sea surface temperature (SST) in the South China Sea is a precursor of North China hydroclimate, but the relationship’s long-term stability remains uncertain. Using monthly resolved Xisha coral Sr/Ca-SST and three hydroclimate reconstructions analyzed at native temporal resolution, we find that the Medieval Climate Anomaly (MCA, 1149–1205 CE) is the only sampled interval with a cross-proxy-consistent positive relationship. The annually resolved Zheng record remains positive after detrending and autocorrelation correction ( r = 0.476, p adj = 0.043), whereas non-MCA relationships are predominantly negative or near zero. East Asian winter monsoon (EAWM)-related variability is largest during the MCA among the six intervals, yet its association with teleconnection strength is weak ( r = 0.52, p = 0.29), arguing against a universal threshold. Independent central-Pacific coral evidence indicates altered tropical-Pacific variability. Because winter-to-summer SST memory persists, we interpret the MCA reversal as downstream atmospheric reorganization, with EAWM variability as a possible preconditioning factor.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.