# Eastern Tibetan Plateau 1000 Year Summer Temperature Reconstruction #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 2.0 # 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/20590 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/asia/china/tibet2015temp.txt # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Parameter_Keywords: air temperature #-------------------- # Contribution_Date # Date: 2016-10-08 #-------------------- # Title # Study_Name: Eastern Tibetan Plateau 1000 Year Summer Temperature Reconstruction #-------------------- # Investigators # Investigators: Wang, J.; Yang, B.; Ljungqvist, F.C. #-------------------- # Description_and_Notes # Description: A millennium-long temperature reconstruction for the Eastern Tibetan Plateau by applying the composite plus scale method to 12 tree-ring width chronologies. Data are reported as temperature anomalies with respect to AD 1000-2005, in degrees C. #-------------------- # Publication # Authors: Jianglin Wang, Bao Yang, and Fredrik Charpentier Ljungqvist # Published_Date_or_Year: 2015-07-07 # Published_Title: A Millennial Summer Temperature Reconstruction for the Eastern Tibetan Plateau from Tree-Ring Width # Journal_Name: Journal of Climate # Volume: 28 # Edition: # Issue: 13 # Pages: 5289-5304 # Report_Number: # DOI: 10.1175/JCLI-D-14-00738.1 # Online_Resource: http://journals.ametsoc.org/doi/10.1175/JCLI-D-14-00738.1 # Full_Citation: # Abstract: Although tree-ring-width-based temperature reconstructions of centennial-to-millennial length have previously been published for many parts of the eastern Tibetan Plateau (ETP), a millennium-long regional-scale composite reconstruction with annual resolution has so far been lacking. Here, the authors present a reconstruction of June-August (JJA) temperature variability over the ETP for the period AD 1000-2005 using a nested composite-plus-scale (CPS) approach to 12 temperature-sensitive tree-ring width chronologies, including 946 individual tree-ring width series. The composite reconstruction reveals warm episodes occurring during much of the sixteenth, nineteenth, and twentieth centuries and cold episodes during much of the eleventh, seventeenth, and eighteenth centuries. The period AD 1996-2005 is likely the warmest decade in the context of the past millennium. The authors explore the influence of possible forcings, finding only a weak direct relationship of temperature changes over the ETP with solar forcing at multidecadal time scales but a robust in-phase relationship with the Atlantic multidecadal oscillation (AMO) during the past millennium. This suggests that the AMO may play an important role in controlling summer temperature variability over the ETP at multidecadal time scales. A comparison with temperature reconstructions from the higher latitudes of East Asia, central-eastern China, and the whole of the Northern Hemisphere shows that the cold eleventh century and the warm nineteenth century prevailing over ETP are somewhat unique, suggesting regional specific characteristics of the temperature variability in this region. This result highlights the need to further increase the number of millennium-long, high-resolution temperature records from East Asia. #------------------ # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences Strategic Priority Research Program # Grant: XDA05080801 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 41325008, 41272189 #------------------ # Funding_Agency # Funding_Agency_Name: CAS/SAFEA International Partnership Program for Creative Research Teams, and the CAS Interdisciplinary Innovation Team project # Grant: 29Y329B91 #------------------ # Site_Information # Site_Name: Eastern Tibetan Plateau # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 40.0 # Southernmost_Latitude: 25.0 # Easternmost_Longitude: 105.0 # Westernmost_Longitude: 85.0 # Elevation: m #------------------ # Data_Collection # Collection_Name: ETP2015Temp # Earliest_Year: 1000 # Most_Recent_Year: 2005 # Time_Unit: AD # Core_Length: m # Notes: #------------------ # Chronology: # #---------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ## age_AD age, , , years AD, , , Astronomical calendar year, ,N ## tempanom-JJA surface temperature anomaly, , , degrees C, June-July-August, climate reconstructions, , ,N ## tempanom-JJA-rmse surface temperature -rmse error, , , degrees C, June-July-August, climate reconstructions, , ,N ## tempanom-JJA+rmse surface temperature +rmse error, , , degrees C, June-July-August, climate reconstructions, , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_AD tempanom-JJA tempanom-JJA-rmse tempanom-JJA+rmse 1000 0.031 -0.288 0.351 1001 0.475 0.152 0.797 1002 0.475 0.150 0.800 1003 0.176 -0.152 0.503 1004 -0.020 -0.350 0.310 1005 -0.063 -0.396 0.269 1006 0.081 -0.254 0.415 1007 -0.134 -0.470 0.203 1008 -0.244 -0.582 0.094 1009 -0.008 -0.348 0.331 1010 -0.168 -0.509 0.173 1011 -0.340 -0.681 0.002 1012 -0.281 -0.623 0.061 1013 -0.218 -0.560 0.125 1014 -0.355 -0.698 -0.013 1015 0.033 -0.310 0.375 1016 -0.022 -0.365 0.320 1017 -0.308 -0.651 0.034 1018 -0.122 -0.464 0.220 1019 -0.178 -0.519 0.163 1020 -0.078 -0.419 0.262 1021 -0.135 -0.475 0.205 1022 -0.265 -0.604 0.074 1023 -0.083 -0.422 0.256 1024 -0.116 -0.454 0.222 1025 -0.301 -0.639 0.037 1026 -0.331 -0.669 0.006 1027 -0.306 -0.644 0.031 1028 -0.299 -0.636 0.038 1029 -0.295 -0.632 0.042 1030 -0.252 -0.589 0.085 1031 -0.455 -0.792 -0.118 1032 -0.360 -0.698 -0.023 1033 -0.398 -0.736 -0.061 1034 -0.349 -0.687 -0.011 1035 -0.236 -0.574 0.102 1036 -0.349 -0.688 -0.010 1037 -0.324 -0.663 0.015 1038 -0.189 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