# Vatnamyri, Iceland Air Temperature Reconstructions during the Early 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/30654 # 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/Vatnamyri.Holmes.2011.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/Vatnamyri.Holmes.2011.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: Vatnamyri, Iceland Air Temperature Reconstructions during the Early Holocene #------------------ # Investigators # Investigators: Caseldine, Chris; Langdon, Peter; Holmes, Naomi #------------------ # 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: Caseldine, Chris, Peter Langdon, and Naomi Holmes # Published_Date_or_Year: 2006 # Published_Title: Early Holocene climate variability and the timing and extent of the Holocene Thermal Maximum (HTM) in northern Iceland # Journal_Name: Quaternary Science Reviews # Volume: 25 # Edition: # Issue: 17-18 # Pages: 2314-2331 # Report: # DOI: 10.1016/j.quascirev.2006.02.003 # Online_Resource: # Full_Citation: # Abstract: The magnitude and timing of Holocene maximum warmth in the Arctic and sub-Arctic has been the subject of considerable recent interest, particularly in the context of future climate change. Although lying at a crucial location in the North Atlantic close to significant atmospheric and oceanic boundaries, terrestrial Holocene climatic data from Iceland are few and predominantly derive from glacial and palaeoecological evidence. Here we present new datasets from Tröllaskagi, based on chironomid-inferred temperatures (CI-T), using sub-fossil chironomids from the same lake sediments supplemented by pollen data. July air temperatures have been derived using an Icelandic training set, and the data suggest optimal temperatures at sea level up to 1.5 °C above current levels around 8 k cal. yr BP, a time when birch woodland was well developed in Tröllaskagi, but when woodland had still not fully developed in the more isolated NW peninsula. Our data thus suggest that optimal summer warmth did not occur in Iceland until 8 kcal. yr BP at the earliest, possibly lasting until 6.7 kcal. yr BP. The amount of warming for July was therefore at least 1.5 °C, but possibly up to 2–3 °C higher than the 1961–1990 average on the basis of the tree-line data. Comparison with data from elsewhere in adjacent Arctic regions, Greenland and Eastern Arctic Canada show peak warmth to be later in Iceland, and less pronounced. It also appears that there were enhanced temperature gradients during the first half of the Holocene between the two study areas Tröllaskagi and the NW Peninsula and that they influenced patterns of vegetation colonisation, with current spatial temperature patterns only developing as Holocene climate deteriorated after around 6 kcal. 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: Vatnamyri # Location: Atlantic Ocean>North Atlantic Ocean>Iceland # Country: Iceland # Northernmost_Latitude: 65.9 # Southernmost_Latitude: 65.9 # Easternmost_Longitude: -18.3 # Westernmost_Longitude: -18.3 # Elevation: 220 #------------------ # Data_Collection # Collection_Name: Vatnamyri.Holmes.2011 # Earliest_Year: 10916.0 # Most_Recent_Year: 7549.0 # 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 IncludeYN age_type-1 note # AA-32240 395.0 nan C14 Uncalibrated 6505.0 55.0 55.0 Y 14C Dark tephra - Wastl et al. # AA-28985 361.5 nan C14 Uncalibrated 6065.0 55.0 55.0 Y 14C Hekla 5 Wastl et al. 2001 # AA-28982 236.5 nan C14 Uncalibrated 3935.0 50.0 50.0 Y 14C Hekla 4 Wastl et al. 2001 # AA-30906 157.5 nan C14 Uncalibrated 2840.0 45.0 45.0 Y 14C Hekla 3 Wastl et al 2001 # AA-44915 734.5 nan C14 Uncalibrated 9460.0 120.0 120.0 Y 14C nan # AA-44916 645.5 nan C14 Uncalibrated 8969.0 66.0 66.0 N 14C nan # AA-44917 606.0 nan C14 Uncalibrated 8608.0 86.0 86.0 N 14C nan # AA-44918 575.0 nan C14 Uncalibrated 7680.0 61.0 61.0 N 14C nan # AA-44919 550.0 nan C14 Uncalibrated 7108.0 52.0 52.0 N 14C nan # AA-44920 485.5 nan C14 Uncalibrated 6168.0 57.0 57.0 N 14C nan # AA-44921 450.5 nan C14 Uncalibrated 5668.0 59.0 59.0 N 14C nan # AA-23883 nan nan C14 Uncalibrated 10925.0 nan nan Y 14C Date transposed from another Vatnamyri core - Wastl et al 2000 # nan 685.0 nan Tephra 10180.0 60.0 60.0 Y tephra Saksunarvatn - date from Gronvold et al 1995 #------------------ # 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,Combined Norwegian Icelandic WAPLS 2 component model; r2 boot is 0.97; 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) ## Commentregardingreliability1 notes,assemblage,,,,insect;paleolimnology;climate reconstructions,,,C,comment regarding reliability ## nonReliableTemperature temperature,midge assemblage,,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N,Combined Norwegian Icelandic WAPLS 2 component model; r2 boot is 0.97; 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 Commentregardingreliability1 nonReliableTemperature 451.5 451.5 7549.0 9.52999 10.71999 8.33999 y nan nan 455.5 455.5 7673.0 8.95572 10.14572 7.76572 y nan nan 465.5 465.5 7903.0 9.31561 10.50561 8.12561 y nan nan 470.5 470.5 8010.0 9.66899 10.85899 8.47899 y nan nan 475.5 475.5 8111.0 9.4924 10.6824 8.3024 y nan nan 480.5 480.5 8208.0 9.73577 10.92577 8.54577 y nan nan 486.5 486.5 8317.0 9.44505 10.63505 8.25505 y nan nan 490.5 490.5 8386.0 9.56576 10.75576 8.37576 y nan nan 495.5 495.5 8469.0 9.64558 10.83558 8.45558 y nan nan 500.5 500.5 8547.0 9.23162 10.42162 8.04162 y nan nan 505.5 505.5 8621.0 9.44806 10.63806 8.25806 y nan nan 509.5 509.5 8678.0 9.50734 10.69734 8.31734 y nan nan 515.5 515.5 8758.0 8.94324 10.13324 7.75324 y nan nan 521.5 521.5 8833.0 9.32713 10.51713 8.13713 y nan nan 525.5 525.5 8881.0 9.44971 10.63971 8.25971 y nan nan 530.5 530.5 8938.0 9.20882 10.39882 8.01882 y nan nan 535.5 535.5 8991.0 9.52524 10.71524 8.33524 y nan nan 540.5 540.5 9042.0 9.43003 10.62003 8.24003 y nan nan 543.5 543.5 9072.0 nan 10.98627 8.60627 n instability in catchment 9.79627 547.5 547.5 9110.0 nan 10.46382 8.08382 n instability in catchment 9.27382 551.5 551.5 9146.0 nan 10.45756 8.07756 n instability in catchment 9.26756 554.5 554.5 9172.0 nan 10.19988 7.81988 n instability in catchment 9.00988 558.5 558.5 9207.0 nan 9.10674 6.72674 n instability in catchment 7.91674 565.5 565.5 9264.0 nan 10.58413 8.20413 n instability in catchment 9.39413 570.5 570.5 9302.0 nan 9.95044 7.57044 n instability in catchment 8.76044 573.5 573.5 9325.0 nan 10.57935 8.19935 n instability in catchment 9.38935 580.5 580.5 9376.0 nan 10.27844 7.89844 n instability in catchment 9.08844 582.5 582.5 9390.0 nan 9.84044 7.46044 n instability in catchment 8.65044 587.5 587.5 9425.0 nan 10.00808 7.62808 n instability in catchment 8.81808 590.5 590.5 9446.0 nan 9.70678 7.32678 n instability in catchment 8.51678 595.5 595.5 9487.0 nan 10.18427 7.80427 n instability in catchment 8.99427 600.5 600.5 9514.0 nan 9.3245 6.9445 n instability in catchment 8.1345 604.5 604.5 9541.0 nan 10.24361 7.86361 n instability in catchment 9.05361 611.5 611.5 9587.0 nan 11.5956 9.2156 n instability in catchment 10.4056 615.5 615.5 9614.0 8.85014 10.04014 7.66014 y nan nan 621.5 621.5 9655.0 8.35223 9.54223 7.16223 y nan nan 625.5 625.5 9683.0 8.72966 9.91966 7.53966 y nan nan 630.5 630.5 9719.0 8.85948 10.04948 7.66948 y nan nan 635.5 635.5 9755.0 8.46598 9.65598 7.27598 y nan nan 639.5 639.5 9785.0 8.04709 9.23709 6.85709 y nan nan 643.5 643.5 9816.0 8.41327 9.60327 7.22327 y nan nan 650.5 650.5 9872.0 8.67616 9.86616 7.48616 y nan nan 655.5 655.5 9915.0 8.83966 10.02966 7.64966 y nan nan 659.5 659.5 9950.0 7.68089 8.87089 6.49089 y nan nan 665.5 665.5 10005.0 8.22819 9.41819 7.03819 y nan nan 670.5 670.5 10054.0 8.03426 9.22426 6.84426 y nan nan 675.5 675.5 10105.0 6.967 8.157 5.777 y nan nan 719.5 719.5 10255.0 7.8732 9.0632 6.6832 y nan nan 723.5 723.5 10400.0 7.23102 8.42102 6.04102 y nan nan 725.5 725.5 10473.0 7.75163 8.94163 6.56163 y nan nan 729.5 729.5 10619.0 8.0455 9.2355 6.8555 y nan nan 731.5 731.5 10691.0 7.72606 8.91606 6.53606 y nan nan 737.5 737.5 10810.0 6.84689 8.03689 5.65689 y nan nan 739.5 739.5 10816.0 7.00168 8.19168 5.81168 y nan nan 743.5 743.5 10829.0 7.21766 8.40766 6.02766 y nan nan 745.5 745.5 10835.0 6.94233 8.13233 5.75233 y nan nan 749.5 749.5 10848.0 6.37303 7.56303 5.18303 y nan nan 755.5 755.5 10867.0 4.74495 5.93495 3.55495 y nan nan 760.5 760.5 10883.0 5.01973 6.20973 3.82973 y nan nan 765.5 765.5 10800.0 5.65048 6.84048 4.46048 y nan nan 770.5 770.5 10916.0 4.96703 6.15703 3.77703 y nan nan