# East Asia 2,000 Year Decadal Warm Season Temperature Reconstructions #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/23491 # Description: # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/reconstructions/zhang2018/zhang2018easia-temp.txt # Description: # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Dataset_DOI: # # Parameter_Keywords: air temperature #-------------------- # Contribution_Date # Date: 2018-03-05 #-------------------- # File_Last_Modified_Date # Date: 2018-03-05 #-------------------- # Title # Study_Name: East Asia 2,000 Year Decadal Warm Season Temperature Reconstructions #-------------------- # Investigators # Investigators: Zhang, H.; Werner, J.P.; García-Bustamante, E.; González-Rouco, F.; Wagner, S.; Zorita, E.; Fraedrich, K.; Jungclaus, J.H.; Ljungqvist, F.C.; Zhu, X.; Xoplaki, E.; Chen, F.; Duan, J.; Ge, Q.; Hao, Z.; Ivanov, M.; Schneider, L.; Talento, S.; Wang, J.; Yang, B.; Luterbacher, J. #-------------------- # Description_Notes_and_Keywords # Description: Multiproxy reconstructions of warm season (May-September) East Asia temperatures at decadal resolution. The regional Bayesian Hierarchical Model (BHM) reconstructions extend back 2,000 years, and the gridded (5x5 degrees) field reconstructions for 1200 years. #-------------------- # Publication # Authors: 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 # Published_Date_or_Year: 2018-05-16 # Published_Title: East Asian warm season temperature variations over the past two millennia # Journal_Name: Scientific Reports # Volume: 8 # Edition: 7702 # Issue: # Pages: # Report_Number: # DOI: 10.1038/s41598-018-26038-8 # Online_Resource: https://www.nature.com/articles/s41598-018-26038-8 # Full_Citation: # 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. #------------------ # Funding_Agency # Funding_Agency_Name: DFG # Grant: Attribution of forced and internal Chinese climate variability in the common eras #------------------ # Site_Information # Site_Name: East Asia # Location: Asia>Eastern Asia # Country: # Northernmost_Latitude: 60.0 # Southernmost_Latitude: 10.0 # Easternmost_Longitude: 160.0 # Westernmost_Longitude: 60.0 # Elevation: 2m #------------------ # Data_Collection # Collection_Name: Zhang2018temp # Earliest_Year: 10 # Most_Recent_Year: 2000 # Time_Unit: CE # Core_Length: # Notes: #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, additional information) # ## age_CE age, , , year CE, , , , ,N ## BHM-deepest surface air temperature anomaly, , , degrees C, May-June-July-August-September, climate reconstruction, ,Bayesian Hierarchical Model ,N, ## BHM-deepest- surface air temperature anomaly lower boundary of 90% pathwise confidence interval, , , degrees C, May-June-July-August-September, climate reconstruction, ,Bayesian Hierarchical Model ,N, ## BHM-deepest+ surface air temperature anomaly upper boundary of 90% pathwise confidence interval, , , degrees C, May-June-July-August-September, climate reconstruction, ,Bayesian Hierarchical Model ,N, ## BHM-median surface air temperature anomaly (classical), , , degrees C, May-June-July-August-September, climate reconstruction, ,Bayesian Hierarchical Model ,N, ## BHM-median- surface air temperature anomaly lower boundary of 90% 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