East Asian warm season temperature variations over the past two millennia.
Huan Zhang,Johannes P. Werner,Elena García-Bustamante,Fidel González-Rouco,Sebastian Wagner,Eduardo Zorita,Klaus Fraedrich,Johann H. Jungclaus,Fredrik Charpentier Ljungqvist,Xiuhua Zhu,Elena Xoplaki,Fahu Chen,Jianping Duan,Quansheng Ge,Zhixin Hao,Martin Ivanov,Lea Schneider,Stefanie Talento,Jianglin Wang,Bao Yang,Jürg Luterbacher +20 more
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TLDR
A new spatially resolved warm-season (May-September) temperature reconstruction for the period 1–2000 CE using 59 multiproxy records from a wide range of East Asian regions shows good agreement and an important role of internal variability and external forcing on multi-decadal time-scales.Abstract:
East Asia has experienced strong warming since the 1960s accompanied by an increased frequency of heat waves and shrinking glaciers over the Tibetan Plateau and the Tien Shan. Here, we place the recent warmth in a long-term perspective by presenting a new spatially resolved warm-season (May-September) temperature reconstruction for the period 1–2000 CE using 59 multiproxy records from a wide range of East Asian regions. Our Bayesian Hierarchical Model (BHM) based reconstructions generally agree with earlier shorter regional temperature reconstructions but are more stable due to additional temperature sensitive proxies. We find a rather warm period during the first two centuries CE, followed by a multi-century long cooling period and again a warm interval covering the 900–1200 CE period (Medieval Climate Anomaly, MCA). The interval from 1450 to 1850 CE (Little Ice Age, LIA) was characterized by cooler conditions and the last 150 years are characterized by a continuous warming until recent times. Our results also suggest that the 1990s were likely the warmest decade in at least 1200 years. The comparison between an ensemble of climate model simulations and our summer reconstructions since 850 CE shows good agreement and an important role of internal variability and external forcing on multi-decadal time-scales.read more
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Climate Change 2007: The Physical Science Basis.
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TL;DR: In this article, the authors present a document, redatto, voted and pubblicato by the Ipcc -Comitato intergovernativo sui cambiamenti climatici - illustra la sintesi delle ricerche svolte su questo tema rilevante.
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Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
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Limited-View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning.
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Odorant Receptors and Odorant-Binding Proteins as Insect Pest Control Targets: A Comparative Analysis.
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References
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Yoav Benjamini,Yosef Hochberg +1 more
TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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An Overview of CMIP5 and the Experiment Design
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Book Chapter
The Physical Science Basis
E. Jansen,J Overpeck,Keith R. Briffa,J. C. Duplessy,F. Joos,Masson-Delmotte,Daniel Olago,B. Otto-Bliesner,W. R. Peltier,Stefan Rahmstorf,Rengaswamy Ramesh,D Raynud,D Rind,O Solomina,Ricardo Villalba,De Zhang +15 more
Journal Article
Climate Change 2007: The Physical Science Basis.
Stefano Schiavon,Roberto Zecchin +1 more
TL;DR: In this article, the authors present a document, redatto, voted and pubblicato by the Ipcc -Comitato intergovernativo sui cambiamenti climatici - illustra la sintesi delle ricerche svolte su questo tema rilevante.
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