# Southernmost Chilean Fjord Region Sea Surface Temperature Reconstructions during the Last 12,000 Years #----------------------------------------------------------------------- # 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/30012 # 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/JPC42.Caniupan.2014.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/JPC42.Caniupan.2014.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: sea surface temperature # Dataset_DOI: # #------------------ # Contribution_Date # Date: 2020-04-15 #------------------ # File_Last_Modified_Date # Date: 2020-05-16 #------------------ # Title # Study_Name: Southernmost Chilean Fjord Region Sea Surface Temperature Reconstructions during the Last 12,000 Years #------------------ # Investigators # Investigators: Caniupán, Magaly; Lamy, Frank; Lange, Carina B.; Kaiser, Jérôme; Kilian, Rolf; Arz, Helge W.; León, Tania; Mollenhauer, Gesine; Sandoval, Susana; De Pol-Holz, Ricardo; Pantoja, Silvio; Wellner, Julia; Tiedemann, Ralf #------------------ # 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: Caniupán, Magaly; Lamy, Frank; Lange, Carina B.; Kaiser, Jérôme; Kilian, Rolf; Arz, Helge W.; León, Tania; Mollenhauer, Gesine; Sandoval, Susana; De Pol-Holz, Ricardo; Pantoja, Silvio; Wellner, Julia; Tiedemann, Ralf # Published_Date_or_Year: 2014 # Published_Title: Holocene sea-surface temperature variability in the Chilean fjord region # Journal_Name: Quaternary Research # Volume: 82 # Edition: # Issue: 2 # Pages: 342-353 # Report: # DOI: 10.1016/j.yqres.2014.07.009 # Online_Resource: # Full_Citation: # Abstract: Here we provide three new Holocene (11–0 cal ka BP) alkenone-derived sea surface temperature (SST) records from the southernmost Chilean fjord region (50–53°S). SST estimates may be biased towards summer temperature in this region, as revealed by a large set of surface sediments. The Holocene records show consistently warmer than present-day SSTs except for the past ~ 0.6 cal ka BP. However, they do not exhibit an early Holocene temperature optimum as registered further north off Chile and in Antarctica. This may have resulted from a combination of factors including decreased inflow of warmer open marine waters due to lower sea-level stands, enhanced advection of colder and fresher inner fjord waters, and stronger westerly winds. During the mid-Holocene, pronounced short-term variations of up to 2.5°C and a cooling centered at ~ 5 cal ka BP, which coincides with the first Neoglacial glacier advance in the Southern Andes, are recorded. The latest Holocene is characterized by two pronounced cold events centered at ~ 0.6 and 0.25 cal ka BP, i.e., during the Little Ice Age. These cold events have lower amplitudes in the offshore records, suggesting an amplification of the SST signal in the inner fjords. #------------------ # 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: JPC-42 # Location: Pacific Ocean>Eastern Pacific Ocean # Country: # Northernmost_Latitude: -49.917 # Southernmost_Latitude: -49.917 # Easternmost_Longitude: -74.383 # Westernmost_Longitude: -74.383 # Elevation: -904 #------------------ # Data_Collection # Collection_Name: JPC42.Caniupan.2014 # Earliest_Year: 8383.971204 # Most_Recent_Year: -50.0 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # age_type depthMid age ageError measurmentMaterial labID # age14C 74.0 0.995 0.09 Mollusc WHOI-35 # age14C 123.0 1.15 0.035 Mollusc WHOI-36 # age14C 175.0 0.84 0.075 Plant/Wood WHOI-37 # age14C 175.0 1.62 0.09 Mollusc WHOI-38 # age14C 655.0 7.37 0.04 Unspecified Marine Carbonate WHOI-39 # age14C 846.0 8.62 0.065 Mollusc WHOI-40 # age14C 1148.0 10.9 0.06 Mollusc WHOI-41 #------------------ # 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) # ## core sample identification,,,,,paleoceanography;climate reconstructions,,,C,core ## age age,,,calendar year before present,,paleoceanography;climate reconstructions,,,N,ages calibrated using IntCal13 rather than Southern Hemisphere calibration ## temperature sea surface temperature,alkenone unsaturation index,,degree Celsius,summer,paleoceanography;climate reconstructions,,,N, # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # core age temperature KC-41 -50.0 9.7 JPC42 (50°S) 122.0 11.5 JPC42 (50°S) 162.0 12.3 JPC42 (50°S) 202.0 11.3 JPC42 (50°S) 243.2244898 11.5 JPC42 (50°S) 284.8571429 8.6 JPC42 (50°S) 326.4897959 11.7 JPC42 (50°S) 368.122449 12.6 JPC42 (50°S) 409.755102 10.6 JPC42 (50°S) 477.7884615 12.4 JPC42 (50°S) 550.4807692 10.4 JPC42 (50°S) 623.1730769 9.1 JPC42 (50°S) 695.8653846 10.6 JPC42 (50°S) 768.5576923 11.0 JPC42 (50°S) 884.7427083 11.6 JPC42 (50°S) 1024.346875 11.8 JPC42 (50°S) 1163.951042 12.3 JPC42 (50°S) 1303.555208 11.9 JPC42 (50°S) 1443.159375 11.3 JPC42 (50°S) 1582.763542 12.2 JPC42 (50°S) 1722.367708 12.3 JPC42 (50°S) 1861.971875 12.9 JPC42 (50°S) 2001.576042 10.5 JPC42 (50°S) 2141.180208 12.7 JPC42 (50°S) 2280.784375 12.6 JPC42 (50°S) 2420.388542 12.5 JPC42 (50°S) 2559.992708 12.8 JPC42 (50°S) 2699.596875 12.4 JPC42 (50°S) 2839.201042 12.6 JPC42 (50°S) 2978.805208 12.0 JPC42 (50°S) 3118.409375 12.4 JPC42 (50°S) 3258.013542 12.2 JPC42 (50°S) 3397.617708 12.2 JPC42 (50°S) 3537.221875 12.2 JPC42 (50°S) 3676.826042 12.1 JPC42 (50°S) 3816.430208 12.3 JPC42 (50°S) 3956.034375 12.5 JPC42 (50°S) 4095.638542 12.2 JPC42 (50°S) 4235.242708 13.1 JPC42 (50°S) 4374.846875 13.5 JPC42 (50°S) 4514.451042 12.8 JPC42 (50°S) 4654.055208 13.6 JPC42 (50°S) 4793.659375 13.0 JPC42 (50°S) 4933.263542 12.6 JPC42 (50°S) 5072.867708 12.1 JPC42 (50°S) 5212.471875 12.8 JPC42 (50°S) 5352.076042 13.8 JPC42 (50°S) 5491.680208 12.6 JPC42 (50°S) 5631.284375 12.5 JPC42 (50°S) 5770.888542 12.7 JPC42 (50°S) 5910.492708 12.9 JPC42 (50°S) 6050.096875 13.4 JPC42 (50°S) 6189.701042 12.6 JPC42 (50°S) 6329.305208 12.4 JPC42 (50°S) 6468.909375 12.5 JPC42 (50°S) 6608.513542 11.2 JPC42 (50°S) 6748.117708 12.6 JPC42 (50°S) 6887.721875 12.3 JPC42 (50°S) 7027.326042 12.6 JPC42 (50°S) 7166.930208 12.9 JPC42 (50°S) 7306.534375 12.4 JPC42 (50°S) 7534.442408 10.8 JPC42 (50°S) 7595.123037 12.4 JPC42 (50°S) 7655.803665 12.5 JPC42 (50°S) 7716.484293 11.8 JPC42 (50°S) 7777.164921 12.4 JPC42 (50°S) 7837.84555 12.5 JPC42 (50°S) 7898.526178 12.3 JPC42 (50°S) 7959.206806 12.4 JPC42 (50°S) 8019.887435 13.1 JPC42 (50°S) 8080.568063 12.4 JPC42 (50°S) 8141.248691 12.5 JPC42 (50°S) 8201.929319 12.4 JPC42 (50°S) 8262.609948 11.9 JPC42 (50°S) 8323.290576 12.6 JPC42 (50°S) 8383.971204 12.4