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      A 200-year annually laminated stalagmite record of precipitation seasonality in southeastern China and its linkages to ENSO and PDO

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          Abstract

          In southeastern China (SEC), the precipitation amount produced by the East Asian summer monsoon (EASM) is almost equivalent to that during the non-summer monsoon (NSM) period, both of them significantly affecting agriculture and socioeconomy. Here, we present a seasonally-resolved stalagmite δ 18O record (δ 18O s) for the interval 1810–2009 AD from E’mei cave, Jiangxi Province, SEC. The comparison between δ 18O s and instrumental data indicates that the δ 18O s variability is primarily controlled by the precipitation seasonality (i.e., the ratio of EASM/NSM precipitation) modulated by the El Niño/Southern Oscillation (ENSO) on interannual to interdecadal timescales. Higher (lower) δ 18O s values thereby correspond to lower (higher) EASM/NSM ratios associated with El Niño (La Niña) events. Significant correlations with ENSO and the Pacific Decadal Oscillation (PDO) indicate that the precipitation seasonality in SEC is remarkably influenced by ocean-atmosphere interactions, with lower (higher) EASM/NSM ratios during warm (cold) phases of ENSO/PDO. The progressive increase in δ 18O s since 2005 AD may reflect a strengthening of the central Pacific El Niño under continued anthropogenic global warming. The relationship between seasonal precipitation and δ 18O s with ENSO/PDO requires further studies.

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          El Niño in a changing climate.

          El Niño events, characterized by anomalous warming in the eastern equatorial Pacific Ocean, have global climatic teleconnections and are the most dominant feature of cyclic climate variability on subdecadal timescales. Understanding changes in the frequency or characteristics of El Niño events in a changing climate is therefore of broad scientific and socioeconomic interest. Recent studies show that the canonical El Niño has become less frequent and that a different kind of El Niño has become more common during the late twentieth century, in which warm sea surface temperatures (SSTs) in the central Pacific are flanked on the east and west by cooler SSTs. This type of El Niño, termed the central Pacific El Niño (CP-El Niño; also termed the dateline El Niño, El Niño Modoki or warm pool El Niño), differs from the canonical eastern Pacific El Niño (EP-El Niño) in both the location of maximum SST anomalies and tropical-midlatitude teleconnections. Here we show changes in the ratio of CP-El Niño to EP-El Niño under projected global warming scenarios from the Coupled Model Intercomparison Project phase 3 multi-model data set. Using calculations based on historical El Niño indices, we find that projections of anthropogenic climate change are associated with an increased frequency of the CP-El Niño compared to the EP-El Niño. When restricted to the six climate models with the best representation of the twentieth-century ratio of CP-El Niño to EP-El Niño, the occurrence ratio of CP-El Niño/EP-El Niño is projected to increase as much as five times under global warming. The change is related to a flattening of the thermocline in the equatorial Pacific.
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            Rainy Season of the Asian–Pacific Summer Monsoon*

            LinHo, Bin Wang (2002)
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              A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

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                Author and article information

                Contributors
                zhanghaiwei@xjtu.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 August 2018
                17 August 2018
                2018
                : 8
                : 12344
                Affiliations
                [1 ]ISNI 0000 0001 0599 1243, GRID grid.43169.39, Institute of Global Environmental Change, , Xi’an Jiaotong University, ; Xi’an, 710054 China
                [2 ]ISNI 0000 0004 1792 8067, GRID grid.458457.f, Institute of Earth Environment, Chinese Academy of Sciences, , State Key Laboratory of Loess and Quaternary Geology, ; Xi’an, 710061 China
                [3 ]ISNI 0000 0001 2151 8122, GRID grid.5771.4, Institute of Geology, , University of Innsbruck, ; Innsbruck, 6020 Austria
                [4 ]ISNI 0000000419368657, GRID grid.17635.36, Department of Earth Science, , University of Minnesota, ; Minneapolis, Minnesota 55455 USA
                [5 ]ISNI 0000 0001 0746 4340, GRID grid.253556.2, Department of Earth Science, , California State University Dominguez Hills, ; Carson, California 90747 USA
                [6 ]ISNI 0000000123704535, GRID grid.24516.34, State Key Laboratory of Marine Geology, , Tongji University, ; Shanghai, 200092 China
                Author information
                http://orcid.org/0000-0002-0855-1283
                http://orcid.org/0000-0003-1932-7102
                Article
                30112
                10.1038/s41598-018-30112-6
                6098110
                30120280
                b21ba12f-2127-4ba2-b810-5ac1d280acc2
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 April 2018
                : 24 July 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 41502166
                Award ID: 41731174
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100002858, China Postdoctoral Science Foundation;
                Award ID: 2015M580832
                Award Recipient :
                Funded by: Key Laboratory of Karst Dynamics, Ministry of Land and Resources of the People's Republic of China and GZAR(KDL201502),State Key Laboratory of Loess and Quaternary Geology (SKLLQG1046)
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