# Nikolay Lake Holocene Surface Air 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/30825 # 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/NikolayLake.Andreev.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/NikolayLake.Andreev.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: https://www.ncdc.noaa.gov/paleo-search/study/15444 # 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: 2020-08-12 #------------------ # Title # Study_Name: Nikolay Lake Holocene Surface Air Temperature Reconstructions #------------------ # Investigators # Investigators: Andreev, Andrei; Tarasov, Pavel; Schwamborn, Georg; Ilyashuk, Boris; Ilyashuk, Elena; Bobrov, Anatoly; Klimanov, Vladimir; Rachold, Volker; Hubberten, Hans-Wolfgang #------------------ # 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. Note added by Temperature-12k authors: This dataset is from version 2 of the Arctic Holocene Transitions Database, and has been expanded to include an ensemble of chronologies, which are included in this file. This is described in McKay et al., 2018: doi:10.1029/2018GL079773 #------------------ # Publication # Authors: Andreev, Andrei; Tarasov, Pavel; Schwamborn, Georg; Ilyashuk, Boris; Ilyashuk, Elena; Bobrov, Anatoly; Klimanov, Vladimir; Rachold, Volker; Hubberten, Hans-Wolfgang # Published_Date_or_Year: 2004 # Published_Title: Holocene paleoenvironmental records from Nikolay Lake, Lena River Delta, Arctic Russia # Journal_Name: Palaeogeography, Palaeoclimatology, Palaeoecology # Volume: 209 # Edition: # Issue: 4-Jan # Pages: 197-217 # Report: # DOI: 10.1016/j.palaeo.2004.02.010 # Online_Resource: # Full_Citation: # Abstract: Radiocarbon-dated pollen, rhizopod, chironomid and total organic carbon (TOC) records from Nikolay Lake (73°20′N, 124°12′E) and a pollen record from a nearby peat sequence are used for a detailed environmental reconstruction of the Holocene in the Lena Delta area. Shrubby Alnus fruticosa and Betula exilis tundra existed during 10,300–4800 cal. yr BP and gradually disappeared after that time. Climate reconstructions based on the pollen and chironomid records suggest that the climate during ca. 10,300–9200 cal. yr BP was up to 2–3 °C warmer than the present day. Pollen-based reconstructions show that the climate was relatively warm during 9200–6000 cal. yr BP and rather unstable between ca. 5800–3700 cal. yr BP. Both the qualitative interpretation of pollen data and the results of quantitative reconstruction indicate that climate and vegetation became similar to modern-day conditions after ca. 3600 cal. yr BP. The chironomid-based temperature reconstruction suggests a relatively warm period between ca. 2300 and 1400 cal. yr BP, which corresponds to the slightly warmer climate conditions reconstructed from the pollen. Modern chironomid and rhizopod assemblages were established after ca. 1400 cal. yr BP. #------------------ # 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: Nikolay Lake # Location: Europe>Eastern Europe>Russian Federation # Country: # Northernmost_Latitude: 73.33 # Southernmost_Latitude: 73.33 # Easternmost_Longitude: 124.2 # Westernmost_Longitude: 124.2 # Elevation: 10 #------------------ # Data_Collection # Collection_Name: NikolayLake.Andreev.2004 # Earliest_Year: 10210.0 # Most_Recent_Year: 95.0 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # OriginalDateID depth_top depth_bottom age_type age uncertainty_old uncertainty_young material # nan 0.0 0.0 Core top -48.0 nan nan nan # KIA12527 1.0 3.0 age14C 506.0 542.0 470.0 Plant remains # AA40889 9.0 11.0 age14C 1547.0 1596.0 1498.0 Plant remains # AA40890 21.0 23.0 age14C 2943.0 2988.0 2898.0 Plant remains # KIA12528 41.0 43.0 age14C 4475.0 4513.0 4437.0 Plant remains # KIA18396 57.0 59.0 age14C 8090.0 8160.0 8020.0 Plant remains # KIA18397 77.0 79.0 age14C 8940.0 9030.0 8850.0 Plant remains #------------------ # 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,,insect;paleolimnology;climate reconstructions,,,N, ## age age,,,calendar year before present,,insect;paleolimnology;climate reconstructions,,,N, ## temperature surface air temperature,midge assemblage,,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N,100-lake training set from Sweden (Larocque et al. 2001); WAPLS ## uncertaintyHigh surface air temperature,midge assemblage,unspecified error upper bound,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N, ## uncertaintyLow surface air temperature,midge assemblage,unspecified error lower bound,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N, ## ReliabIeYN1 notes,,,,,insect;paleolimnology;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 uncertaintyHigh uncertaintyLow ReliabIeYN1 0.5 95.0 8.535 10.124 6.947 Y 4.0 1180.0 8.839 10.453 7.226 Y 8.0 1352.0 9.258 10.781 7.735 Y 12.0 1714.5 8.918 10.387 7.45 Y 16.0 2270.67 9.018 10.519 7.516 Y 20.0 2830.0 8.434 9.939 6.929 Y 24.0 3315.0 8.088 9.585 6.59 Y 28.0 3720.0 8.264 9.91 6.617 Y 32.0 4121.0 8.855 10.354 7.356 Y 36.0 4520.0 8.594 10.077 7.11 Y 40.0 4930.0 8.204 9.774 6.634 Y 44.0 5630.0 8.943 10.467 7.42 Y 48.0 6620.0 8.256 9.767 6.744 Y 52.0 7613.33 8.869 10.363 7.375 Y 56.0 8605.0 8.97 10.538 7.401 Y 60.0 9200.0 9.578 11.026 8.129 Y 64.0 9400.0 10.674 12.026 9.322 Y 68.0 9605.0 10.493 11.802 9.185 Y 72.0 9808.33 9.905 11.233 8.577 Y 76.0 10010.0 10.044 11.354 8.735 Y 80.0 10210.0 11.593 12.942 10.244 Y