# Hani Bog, Northeast China 16,000 Year Surface Air Temperature Reconstruction #----------------------------------------------------------------------- # 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/30661 # Online_Resource_Description: NOAA Landing Page # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/27330 # Online_Resource_Description: NOAA Landing Page for Temperature-12k Database # # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/climate12k/temperature/version1.0.0/Temp12k_directory_NOAA_files/Hani.Zheng.2017.txt # Online_Resource_Description: NOAA location of the template # # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/climate12k/temperature/version1.0.0/Temp12k_directory_LiPD_files/Hani.Zheng.2017.lpd # Online_Resource_Description: Linked Paleo Data (LiPD) formatted file containing metadata and data related to this file, for version 1.0.0 of this dataset. # # Original_Source_URL: # Description/Documentation lines begin with # # Data lines have no # # # Data_Type: Climate Reconstructions # Parameter_Keywords: air temperature # Dataset_DOI: # #------------------ # Contribution_Date # Date: 2020-04-15 #------------------ # File_Last_Modified_Date # Date: 2020-08-05 #------------------ # Title # Study_Name: Hani Bog, Northeast China 16,000 Year Surface Air Temperature Reconstruction #------------------ # Investigators # Investigators: Zheng, Yanhong; Pancost, Richard D.; Liu, Xiaodong; Wang, Zhangzhang; Naafs, B.D.A.; Xie, Xiaoxun; Liu, Zhao; Yu, Xuefeng; Yang, Huan #------------------ # Description_Notes_and_Keywords # Description: This dataset was contributed as part of the Temperature-12k project (https://doi.org/10.25921/4RY2-G808). Data were contributed to the project from the original data generators, who are listed in the Investigator field of this template file. Additional notes regarding the use of these data in the Temperature-12k project can be found in the LiPD file listed as an Online_Resource of this template file. #------------------ # Publication # Authors: Zheng, Yanhong; Pancost, Richard D.; Liu, Xiaodong; Wang, Zhangzhang; Naafs, B.D.A.; Xie, Xiaoxun; Liu, Zhao; Yu, Xuefeng; Yang, Huan # Published_Date_or_Year: 2017 # Published_Title: Atmospheric connections with the North Atlantic enhanced the deglacial warming in northeast China # Journal_Name: Geology # Volume: 45 # Edition: # Issue: 11 # Pages: 1031-1034 # Report: # DOI: 10.1130/G39401.1 # Online_Resource: # Full_Citation: # Abstract: Variations in atmospheric circulation across the last deglaciation in the northernmost monsoon-influenced regions of Asia are not well constrained, highlighting a fundamental gap in our understanding of Asian climate. Here we reconstruct continental air temperatures for northeast China across the last deglaciation (past 16 k.y.), based on the distribution of bacterial branched glycerol dialkyl glycerol tetraethers in a sequence of the Hani peat (Jilin Province, northeast China). Our results indicate large (as much as 10 °C) oscillations in temperature in northeast China across the deglaciation, oscillations significantly larger than observed in other temperature records from low-latitude or same-latitude East Asia, but consistent with climate model simulations. This enhanced magnitude, as well as the timing of temperature variations, provides evidence for atmospheric teleconnections with high latitudes; in particular, we suggest that high-latitude cooling associated with Arctic ice expansion and changes in Atlantic Meridional Overturning Circulation enhanced the intensity and lowered the temperature of Eurasian mid-latitude westerlies and northwesterly winds over East Asia during the last glacial, delivering cold air masses to northeast China. During the deglaciation the westerlies and therefore delivery of cold air masses weakened, amplifying the deglacial warming in this region. We conclude that changes in North Atlantic climate had a particularly strong impact on the northernmost parts of the East Asian monsoon–influenced area. #------------------ # Publication # Authors: Kaufman, D., N. McKay, C. Routson, M. Erb, B. Davis, O. Heiri, S. Jaccard, J. Tierney, C. Dätwyler, Y. Axford, T. Brussel, O. Cartapanis, B. Chase, A. Dawson, A. de Vernal, S. Engels, L. Jonkers, J. Marsicek, P. Moffa-Sánchez, C. Morrill, A. Orsi, K. Rehfeld, K. Saunders, P. S. Sommer, E. Thomas, M. Tonello, M. Tóth, R. Vachula, A. Andreev, S. Bertrand, B. Biskaborn, M. Bringué, S. Brooks, M. Caniupán, M. Chevalier, L. Cwynar, J. Emile-Geay, J. Fegyveresi, A. Feurdean, W. Finsinger, M-C. Fortin, L. Foster, M. Fox, K. Gajewski, M. Grosjean, S. Hausmann, M. Heinrichs, N. Holmes, B. Ilyashuk, E. Ilyashuk, S. Juggins, D. Khider, K. Koinig, P. Langdon, I. Larocque-Tobler, J. Li, A. Lotter, T. Luoto, A. Mackay, E. Magyari, S. Malevich, B. Mark, J. Massaferro, V. Montade, L. Nazarova, E. Novenko, P. Paril, E. Pearson, M. Peros, R. Pienitz, M. Plóciennik, D. Porinchu, A. Potito, A. Rees, S. Reinemann, S. Roberts, N. Rolland, S. Salonen, A. Self, H. Seppä, S. Shala, J-M. St-Jacques, B. Stenni, L. Syrykh, P. Tarrats, K. Taylor, V. van den Bos, G. Velle, E. Wahl, I. Walker, J. Wilmshurst, E. Zhang, S. Zhilich # Published_Date_or_Year: 2020-04-14 # Published_Title: A global database of Holocene paleotemperature records # Journal_Name: Scientific Data # Volume: 7 # Edition: 115 # Issue: # Pages: # Report_Number: # DOI: 10.1038/s41597-020-0445-3 # Online_Resource: https://www.nature.com/articles/s41597-020-0445-3 # Full_Citation: # Abstract: A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format. #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: Hani # Location: Asia>Eastern Asia>China # Country: # Northernmost_Latitude: 42.2167 # Southernmost_Latitude: 42.2167 # Easternmost_Longitude: 126.517 # Westernmost_Longitude: 126.517 # Elevation: 910 #------------------ # Data_Collection # Collection_Name: Hani.Zheng.2017 # Earliest_Year: 16180.3 # Most_Recent_Year: 0.0 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # depth age_type age ucertainty_minus # 48.0 core top nan nan # 155.0 C14 Uncalibrated 1810.0 28.0 # 260.0 C14 Uncalibrated 3604.0 35.0 # 353.0 C14 Uncalibrated 5260.0 42.0 # 428.0 C14 Uncalibrated 6710.0 56.0 # 492.0 C14 Uncalibrated 7890.0 49.0 # 568.0 C14 Uncalibrated 9080.0 51.0 # 680.0 C14 Uncalibrated 10348.0 46.0 # 755.0 C14 Uncalibrated 11216.0 48.0 # 880.0 C14 Uncalibrated 15802.0 85.0 #------------------ # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ## depth depth,,,centimeter,,paleolimnology;climate reconstructions,,,N, ## age age,,,calendar year before present,,paleolimnology;climate reconstructions,,,N, ## temperature surface air temperature,glycerol dialkyl glycerol tetraether index,,degree Celsius,annual,paleolimnology;climate reconstructions,,,N,based on MBT'-5Me; calibration of Naafs et al. 2017; 10.1016/j.gca.2017.01.038 ## uncertainty_plus surface air temperature,glycerol dialkyl glycerol tetraether index,unspecified error upper bound,degree Celsius,annual,paleolimnology;climate reconstructions,,,N,based on MBT'-5Me ## uncertainty_minus surface air temperature,glycerol dialkyl glycerol tetraether index,unspecified error lower bound,degree Celsius,annual,paleolimnology;climate reconstructions,,,N,based on MBT'-5Me # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # depth age temperature uncertainty_plus uncertainty_minus 46.0 0.0 5.977 10.677 1.277 54.0 109.9 5.537 10.237 0.837 62.0 240.4 6.135 10.835 1.435 70.0 371.3 5.05 9.75 0.35 78.0 502.8 5.341 10.041 0.641 86.0 635.3 4.501 9.201 -0.199 94.0 765.4 4.29 8.99 -0.41 102.0 896.4 4.764 9.464 0.064 110.0 1025.7 7.231 11.931 2.531 118.0 1153.1 7.1 11.8 2.4 126.0 1287.1 5.435 10.135 0.735 134.0 1418.7 5.522 10.222 0.822 142.0 1549.1 5.822 10.522 1.122 150.0 1681.4 6.254 10.954 1.554 158.0 1825.0 7.758 12.458 3.058 166.0 1988.6 5.715 10.415 1.015 174.0 2151.1 8.045 12.745 3.345 182.0 2315.3 9.392 14.092 4.692 190.0 2479.4 9.256 13.956 4.556 198.0 2648.0 8.864 13.564 4.164 206.0 2815.8 9.232 13.932 4.532 214.0 2982.9 9.227 13.927 4.527 222.0 3145.8 8.341 13.041 3.641 230.0 3310.2 8.855 13.555 4.155 238.0 3472.5 8.705 13.405 4.005 246.0 3634.2 8.97 13.67 4.27 254.0 3802.1 9.54 14.24 4.84 262.0 3974.8 10.462 15.162 5.762 270.0 4157.7 11.39 16.09 6.69 278.0 4337.2 7.99 12.69 3.29 286.0 4521.9 9.542 14.242 4.842 294.0 4707.2 9.472 14.172 4.772 302.0 4882.7 9.086 13.786 4.386 310.0 5063.0 8.462 13.162 3.762 318.0 5251.4 9.026 13.726 4.326 326.0 5436.3 9.841 14.541 5.141 334.0 5619.5 11.243 15.943 6.543 342.0 5798.5 9.365 14.065 4.665 350.0 5984.5 10.704 15.404 6.004 358.0 6154.3 12.553 17.253 7.853 366.0 6311.5 11.213 15.913 6.513 374.0 6473.3 11.053 15.753 6.353 382.0 6638.2 11.693 16.393 6.993 390.0 6802.3 10.683 15.383 5.983 398.0 6966.8 11.501 16.201 6.801 406.0 7133.0 11.552 16.252 6.852 414.0 7301.0 10.919 15.619 6.219 422.0 7458.6 10.484 15.184 5.784 430.0 7618.7 11.176 15.876 6.476 438.0 7765.3 10.539 15.239 5.839 446.0 7911.2 11.302 16.002 6.602 454.0 8055.8 10.87 15.57 6.17 462.0 8203.0 10.85 15.55 6.15 470.0 8350.0 10.326 15.026 5.626 478.0 8497.4 9.365 14.065 4.665 486.0 8643.2 7.138 11.838 2.438 494.0 8792.1 6.845 11.545 2.145 502.0 8946.0 7.633 12.333 2.933 510.0 9100.1 9.42 14.12 4.72 518.0 9256.8 10.235 14.935 5.535 526.0 9416.4 9.991 14.691 5.291 534.0 9574.0 9.003 13.703 4.303 542.0 9727.3 9.935 14.635 5.235 550.0 9884.4 9.891 14.591 5.191 558.0 10040.3 6.952 11.652 2.252 566.0 10198.4 5.121 9.821 0.421 574.0 10340.3 5.926 10.626 1.226 575.0 10356.9 5.844 10.544 1.144 578.0 10407.9 5.22 9.92 0.52 582.0 10476.1 5.401 10.101 0.701 585.0 10526.7 5.814 10.514 1.114 590.0 10609.9 5.257 9.957 0.557 598.0 10746.6 9.461 14.161 4.761 606.0 10883.6 9.226 13.926 4.526 614.0 11017.9 10.889 15.589 6.189 622.0 11153.5 12.211 16.911 7.511 630.0 11287.9 10.795 15.495 6.095 638.0 11420.0 10.076 14.776 5.376 646.0 11556.8 7.028 11.728 2.328 654.0 11689.9 4.302 9.002 -0.398 662.0 11826.1 4.374 9.074 -0.326 670.0 11960.0 5.159 9.859 0.459 678.0 12091.7 4.826 9.526 0.126 686.0 12208.6 5.77 10.47 1.07 694.0 12319.2 4.953 9.653 0.253 702.0 12429.0 4.779 9.479 0.079 710.0 12539.1 4.936 9.636 0.236 718.0 12649.3 7.524 12.224 2.824 726.0 12756.2 7.833 12.533 3.133 734.0 12865.6 6.698 11.398 1.998 742.0 12976.0 7.15 11.85 2.45 750.0 13084.6 7.858 12.558 3.158 758.0 13219.7 7.33 12.03 2.63 766.0 13412.7 6.075 10.775 1.375 774.0 13610.9 4.273 8.973 -0.427 782.0 13808.3 5.122 9.822 0.422 790.0 14007.4 5.856 10.556 1.156 798.0 14209.7 4.758 9.458 0.058 806.0 14404.1 4.106 8.806 -0.594 814.0 14598.1 1.531 6.231 -3.169 822.0 14795.4 1.335 6.035 -3.365 830.0 14991.4 2.68 7.38 -2.02 838.0 15191.0 1.192 5.892 -3.508 846.0 15390.1 -2.731 1.969 -7.431 850.0 15487.4 -3.21 1.49 -7.91 854.0 15586.8 -4.364 0.336 -9.064 857.0 15660.6 -4.243 0.457 -8.943 862.0 15784.3 -5.374 -0.674 -10.074 870.0 15981.7 -5.153 -0.453 -9.853 878.0 16180.3 -0.84 3.86 -5.54