# Lake Temje 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/30840 # 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/Temje.Nazarova.2013.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/Temje.Nazarova.2013.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: 2020-08-12 #------------------ # Title # Study_Name: Lake Temje Holocene Surface Air Temperature Reconstructions #------------------ # Investigators # Investigators: Nazarova, Larisa; Lüpfert, Herman; Subetto, Dmitry; Pestryakova, Ludmila; Diekmann, Bernhard #------------------ # 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: Nazarova, Larisa; Lüpfert, Herman; Subetto, Dmitry; Pestryakova, Ludmila; Diekmann, Bernhard # Published_Date_or_Year: 2013 # Published_Title: Holocene climate conditions in central Yakutia (eastern Siberia) inferred from sediment composition and fossil chironomids of Lake Temje # Journal_Name: Quaternary International # Volume: 290-291 # Edition: # Issue: # Pages: 264-274 # Report: # DOI: 10.1016/j.quaint.2012.11.006 # Online_Resource: # Full_Citation: # Abstract: A 380 cm long sediment core from Lake Temje (central Yakutia, Eastern Siberia) was studied to infer Holocene palaeoenvironmental change in the extreme periglacial setting of eastern Siberia during the last 10,000 years. Data on sediment composition were used to characterize changes in the depositional environment during the ontogenetic development of the Lake Temje. The analysis of fossil chironomid remains and statistical treatment of chironomid data by the application of a newly developed regional Russian transfer functions provided inferences of mean July air temperatures (TJuly) and water depths (WD). Reconstructed WDs show minor changes throughout the core and range between 80 and 120 cm. All the fluctuations in reconstructed water depth lie within the mean error of prediction of the inference model (RMSEP = 0.35) so it is not possible to draw conclusions from the reconstructions. A qualitative and quantitative reconstruction of Holocene climate in central Yakutia recognized three stages of palaeoenvironmental changes. The early Holocene between 10 and 8 ka BP was characterized by colder-than-today and moist summer conditions. Cryotextures in the lake sediments document full freezing of the lake water during the winter time. A general warming trend started around 8.0 ka BP in concert with enhanced biological productivity. Reconstructed mean TJuly were equal or up to 1.5 °C higher than today between 6.0 ka and 5.0 ka BP. During the entire late Holocene after 4.8 ka BP, reconstructed mean TJuly remained below modern value. Limnological conditions did not change significantly. The inference of a mid-Holocene climate optimum supports scenarios of Holocene climatic changes in the subpolar part of eastern Siberia and indicates climate teleconnections to the North Atlantic realm. #------------------ # 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: Temje # Location: Europe>Eastern Europe>Russian Federation # Country: Russia # Northernmost_Latitude: 62.05 # Southernmost_Latitude: 62.05 # Easternmost_Longitude: 129.48 # Westernmost_Longitude: 129.48 # Elevation: 217 #------------------ # Data_Collection # Collection_Name: Temje.Nazarova.2013 # Earliest_Year: 10035.0 # Most_Recent_Year: 0.0 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # age_type Top Depth of Date Bottom Depth of Date age Uncertainty plus Uncertainty minus Include (Y/N) Additional Notes # Core top 0.0 0.0 0.0 nan nan Y nan # C14 Uncalibrated 62.0 62.0 3487.0 28.0 28.0 Y Plant remains # C14 Uncalibrated 155.0 155.0 4350.0 25.0 25.0 Y Plant remains # C14 Uncalibrated 290.0 290.0 6040.0 60.0 60.0 Y Plant remains # C14 Uncalibrated 320.0 320.0 6645.0 40.0 40.0 Y Plant remains # C14 Uncalibrated 370.0 370.0 8895.0 50.0 50.0 Y 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) # ## OriginalSampleID sample identification,,,,,insect;paleolimnology;climate reconstructions,,,C,OriginalSampleID ## 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,chironomid-based temperature and water depth calibration data sets from Yakutia (Nazarova et al. 2011); 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) ## nonReliableTemperature temperature,midge assemblage,,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N,chironomid-based temperature and water depth calibration data sets from Yakutia (Nazarova et al. 2011); WAPLS;non-reliable temperature # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # OriginalSampleID depth age temperature uncertaintyHigh uncertaintyLow ReliabIeYN1 nonReliableTemperature 70-80 70-80 0.0 16.857 17.814969 15.899431 y nan 90-95 90-95 1216.0 16.886 17.869243 15.902957 y nan 95-100 95-100 1520.0 16.587 17.546276 15.627924 y nan 105-110 105-110 2128.0 16.197 17.22215 15.17125 y nan 115-120 115-120 2736.0 16.535 17.57224 15.49876 y nan 120-125 120-125 3040.0 16.525 17.51128 15.53812 y nan 130-135 130-135 3647.0 15.572 16.563309 14.581691 y nan 135-140 135-140 3815.0 16.187 17.166181 15.207419 y nan 145-150 145-150 3968.0 15.948 17.0029 14.8939 y nan 155-160 155-160 4121.0 16.132 17.13484 15.12856 y nan 160-165 160-165 4197.0 15.972 17.00143 14.94177 y nan 170-175 170-175 4350.0 15.885 16.856062 14.914138 y nan 175-180 175-180 4426.0 16.863 17.824196 15.902204 y nan 180-185 180-185 4503.0 16.712 17.675418 15.748982 y nan 185-190 185-190 4579.0 15.958 16.95994 14.95606 y nan 190-195 190-195 4656.0 15.852 16.9538 14.75 y nan 195-200 195-200 4732.0 15.855 16.91876 14.79064 y nan 205-210 205-210 4885.0 16.691 17.649403 15.732397 y nan 220-225 220-225 5115.0 17.793 18.738396 16.847204 y nan 235-240 235-240 5317.0 17.556 18.522596 16.589804 y nan 245-250 245-250 5443.0 15.807 16.773284 14.840716 y nan 250-255 250-255 5506.0 17.825 18.774178 16.874822 y nan 265-270 265-270 5696.0 17.806 18.75362 16.85918 y nan 275-280 275-280 5822.0 16.984 17.951166 16.016834 y nan 280-285 280-285 5885.0 16.672 17.647896 15.695304 y nan 295-300 295-300 6074.0 16.847 17.822928 15.871672 y nan 310-315 310-315 6263.0 17.694 18.657268 16.730132 y nan 325-330 325-330 6453.0 17.889 18.85413 16.92287 y nan 340-345 340-345 6642.0 17.492 18.461005 16.523395 y nan 350-355 350-355 6768.0 16.535 17.508804 15.561396 y nan 355-360 355-360 6831.0 17.477 18.444225 16.508975 y nan 360-370 360-370 6894.0 17.193 18.160151 16.226649 y nan 370-378 370-378 7106.0 16.676 17.665265 15.686735 y nan 380-385 380-385 7319.0 17.463 18.408576 16.516824 y nan 395-398 395-398 7781.0 16.645 17.627121 15.662079 y nan 405-410 405-410 8282.0 17.344 18.294014 16.394586 y nan 419-423 419-423 8783.0 15.665 16.6406 14.689 y nan 423-425 423-425 9184.0 nan 17.01752 15.01268 n 16.0151 425-430 425-430 9284.0 15.623 16.606371 14.640029 y nan 430-435 430-435 9534.0 16.227 17.23 15.223 y nan 435-440 435-440 9785.0 16.628 17.597385 15.659415 y nan 440-445 440-445 10035.0 17.217 18.179712 16.254688 y nan