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dc.contributor.authorShi, Feng
dc.contributor.authorLi, Jianping
dc.contributor.authorWilson, Rob J. S.
dc.date.accessioned2014-11-21T17:01:03Z
dc.date.available2014-11-21T17:01:03Z
dc.date.issued2014-10-23
dc.identifier157934511
dc.identifiered22b677-0304-4cfa-b185-4aaf901fb607
dc.identifier000343597300010
dc.identifier84919782897
dc.identifier000343597300010
dc.identifier.citationShi , F , Li , J & Wilson , R J S 2014 , ' A tree-ring reconstruction of the South Asian summer monsoon index over the past millennium ' , Scientific Reports , vol. 4 , 6739 . https://doi.org/10.1038/srep06739en
dc.identifier.issn2045-2322
dc.identifier.otherORCID: /0000-0003-4486-8904/work/59953617
dc.identifier.urihttps://hdl.handle.net/10023/5829
dc.descriptionThis study was jointly funded by the 973 Program (2010CB950400) and the National Natural Science Foundation of China (41301220; 41030961). Feng Shi was supported by the China Postdoctoral Science Foundation, China Meteorological Administration, with funding specifically targeted for Drought Research (IAM201213) and the West Light Program for Talent Cultivation of the Chinese Academy of Sciences.en
dc.description.abstractThe South Asian summer monsoon (SASM) is a major atmospheric synoptic climate system affecting nearly a quarter of the human population. Climate proxy data derived from tree rings, ice cores, speleothems and other sources can all contribute to an understanding of SASM variability prior to instrumental period. Here, we develop an optimal information extraction (OIE) method, which we use to reconstruct the SASM index (SASMI) over the last millennium using 15 tree-ring chronologies. The record generated is significantly correlated (r = 0.7, p < 0.01) with the instrumental SASMI record on annual timescales; this correlation is higher than that obtained in any previous study. The reconstructed SASMI captures 18 of 26 (69%) reordered historical famine events in India over the last millennium; notably, 11 of 16 short events with durations of 1–3 years are accurately depicted in our reconstruction. Moreover, the reconstructed SASMI is positively correlated with variations in total solar irradiance (TSI) on multi-decadal timescales implying that variations in solar activity may influence the SASM. Based on the response of SASM to 34 significant volcanic events using the superposed epoch analysis, the volcanic forcing may drive a weak SASM in the second year of an eruption.
dc.format.extent8
dc.format.extent903989
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.subjectLast millenniumen
dc.subjectIndian monsoonen
dc.subjectVariabilityen
dc.subjectChinaen
dc.subjectPrecipitationen
dc.subjectClimateen
dc.subjectRecorden
dc.subjectSeriesen
dc.subjectSimulationsen
dc.subjectDELTA-O-18en
dc.subjectG Geography (General)en
dc.subjectGE Environmental Sciencesen
dc.subjectDASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subjectSDG 13 - Climate Actionen
dc.subject.lccG1en
dc.subject.lccGEen
dc.titleA tree-ring reconstruction of the South Asian summer monsoon index over the past millenniumen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Earth & Environmental Sciencesen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews. Earth and Environmental Sciencesen
dc.identifier.doi10.1038/srep06739
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.nature.com/articles/srep06739#Sec8en
dc.identifier.urlhttps://www.nature.com/articles/srep06739#Sec8en


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