# Northern Russia Air Temperature Reconstructions during the Holocene #----------------------------------------------------------------------- # 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/32612 # 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/Tumbulovaty.Kultti.2004.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/Tumbulovaty.Kultti.2004.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: 2020-05-16 #------------------ # Title # Study_Name: Northern Russia Air Temperature Reconstructions during the Holocene #------------------ # Investigators # Investigators: Väliranta, M.; Salonen, J. S.; Heikkilä, M.; Amon, L.; Helmens, K.; Klimaschewski, A.; Kuhry, P.; Kultti, S.; Poska, A.; Shala, S.; Veski, S.; Birks, H. H. #------------------ # 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: Väliranta, M.; Salonen, J. S.; Heikkilä, M.; Amon, L.; Helmens, K.; Klimaschewski, A.; Kuhry, P.; Kultti, S.; Poska, A.; Shala, S.; Veski, S.; Birks, H. H. # Published_Date_or_Year: 2015 # Published_Title: Plant macrofossil evidence for an early onset of the Holocene summer thermal maximum in northernmost Europe # Journal_Name: Nature Communications # Volume: 6 # Edition: # Issue: 1 # Pages: 6809 # Report: # DOI: 10.1038/ncomms7809 # Online_Resource: # Full_Citation: # Abstract: Holocene summer temperature reconstructions from northern Europe based on sedimentary pollen records suggest an onset of peak summer warmth around 9,000 years ago. However, pollen-based temperature reconstructions are largely driven by changes in the proportions of tree taxa, and thus the early-Holocene warming signal may be delayed due to the geographical disequilibrium between climate and tree populations. Here we show that quantitative summer-temperature estimates in northern Europe based on macrofossils of aquatic plants are in many cases ca. 2 °C warmer in the early Holocene (11,700–7,500 years ago) than reconstructions based on pollen data. When the lag in potential tree establishment becomes imperceptible in the mid-Holocene (7,500 years ago), the reconstructed temperatures converge at all study sites. We demonstrate that aquatic plant macrofossil records can provide additional and informative insights into early-Holocene temperature evolution in northernmost Europe and suggest further validation of early post-glacial climate development based on multi-proxy data syntheses. #------------------ # Publication # Authors: Kultti, Seija; Oksanen, Pirita; Väliranta, Minna # Published_Date_or_Year: 2004 # Published_Title: Holocene tree line, permafrost, and climate dynamics in the Nenets Region, East European Arctic # Journal_Name: Canadian Journal of Earth Sciences # Volume: 41 # Edition: # Issue: 10 # Pages: # Report: # DOI: 10.1139/e04-058 # Online_Resource: # Full_Citation: # Abstract: #------------------ # Publication # Authors: Salonen, J. Sakari; Seppä, Heikki; Väliranta, Minna; Jones, Vivienne J.; Self, Angela; Heikkilä, Maija; Kultti, Seija; Yang, Handong # Published_Date_or_Year: 2015 # Published_Title: The Holocene thermal maximum and late-Holocene cooling in the tundra of NE European Russia # Journal_Name: Quaternary Research # Volume: 75 # Edition: # Issue: 3 # Pages: # Report: # DOI: 10.1016/j.yqres.2011.01.007 # Online_Resource: # Full_Citation: # Abstract: #------------------ # 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: Tumbulovaty # Location: Europe>Eastern Europe>Russia # Country: Russia # Northernmost_Latitude: 67.12 # Southernmost_Latitude: 67.12 # Easternmost_Longitude: 59.57 # Westernmost_Longitude: 59.57 # Elevation: 115 #------------------ # Data_Collection # Collection_Name: Tumbulovaty.Kultti.2004 # Earliest_Year: 11165.0 # Most_Recent_Year: 0.0 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # depth_top depth_bottom age_type age uncertainty_old uncertainty_young material # 0.0 0.0 Core top -50.0 -50.0 -50.0 Lake cored in spring of 2000 # 65.0 75.0 age14C 1890.0 2020.0 1760.0 Bulk sediment # 85.0 90.0 age14C 2790.0 2850.0 2730.0 Betula leaves, catkin scales and bark # 140.0 150.0 age14C 6190.0 6320.0 6060.0 Bulk sediment # 233.0 243.0 age14C 8530.0 8700.0 8360.0 Bulk sediment # 278.5 279.5 age14C 9700.0 9825.0 9575.0 Piece of wood, depth stated as exactly 279 cm #------------------ # 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,,pollen;climate reconstructions,,,N, ## age age,,,calendar year before present,,pollen;climate reconstructions,,,N, ## temperature surface air temperature,,,degree Celsius,Jul,pollen;climate reconstructions,,,N,58-lake training set from European Russia; WAPLS ## uncertainty surface air temperature,,unspecified error upper bound,degree Celsius,Jul,pollen;climate reconstructions,,,N, ## uncertainty-1 surface air temperature,,unspecified error lower bound,degree Celsius,Jul,pollen;climate reconstructions,,,N, ## reliable notes,,,,,pollen;climate reconstructions,,,C,Data are reliable (Yes or No) # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # depth age temperature uncertainty uncertainty-1 reliable 0.0 0.0 14.294 15.21 13.379 Y 10.0 264.3 14.101 15.017 13.184 Y 20.0 528.6 14.388 15.28 13.497 Y 30.0 792.9 14.6 15.477 13.724 Y 40.0 1057.1 14.438 15.406 13.47 Y 50.0 1321.4 15.069 15.943 14.195 Y 60.0 1585.7 15.482 16.357 14.607 Y 70.0 1850.0 15.265 16.136 14.394 Y 80.0 2455.7 14.733 15.646 13.82 Y 90.0 3091.7 15.078 15.955 14.201 Y 100.0 3818.7 16.134 16.998 15.271 Y 110.0 4545.7 15.474 16.359 14.589 Y 120.0 5272.6 14.988 15.904 14.072 Y 130.0 5999.6 15.878 16.788 14.969 Y 140.0 6726.5 15.787 16.691 14.882 Y 150.0 7221.2 15.98 16.861 15.099 Y 160.0 7483.5 15.613 16.486 14.741 Y 170.0 7745.9 15.306 16.233 14.379 Y 180.0 8008.3 14.454 15.382 13.526 Y 190.0 8270.6 14.798 15.689 13.906 Y 200.0 8533.0 15.617 16.521 14.713 Y 210.0 8795.4 15.664 16.549 14.778 Y 220.0 9057.7 15.277 16.152 14.402 Y 230.0 9320.1 14.805 15.74 13.869 Y 240.0 9690.2 14.47 15.362 13.579 Y 250.0 10060.3 13.547 14.457 12.637 Y 260.0 10502.2 14.485 15.387 13.583 Y 275.0 11165.0 12.914 13.917 11.91 Y