# Dome Fuji 360KYr Stable Isotope Data and Temperature Reconstruction #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference 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/cdo/f?p=519:1:::::P1_study_id:13121 # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/domefuji/df2012isotope-temperature.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # -------------------- # Contribution_date # Date: # -------------------- # Title # Study_Name: Dome Fuji 360KYr Stable Isotope Data and Temperature Reconstruction # -------------------- # Investigators # Investigators: Uemura, R.; Mason-Delmotte, V.; Jouzel, J.; Landais, A.; Motoyama, H.; Stenni, B. # -------------------- # Description_and_Notes # Description: Stable isotope data (d18O and dD) and temperature reconstruction # from Dome Fuji ice cores, Antarctica for the past 360,000 years. # Data from core DF1 are deltaD (Uemura et al., 2004) and delta18O # (Watanabe et al., 2003). The data-set is corrected and updated # in Uemura et al. (2012). Data from core DF2 includes deltaD # and delta18O (Uemura et al., 2012). Temperature estimates are # based on combined isotope data from both cores (Uemura et al., 2012). # # The age scale adopted here is the Dome Fuji Ice Core O2/N2 timescale # (DFO-2006) (Kawamura et al., 2007). # # Dome Fuji Station Core Site, East Antarctica: # 77°19'N, 39°42'E, 3810m elevation # # -------------------- # Publication # Authors: R. Uemura, V. Mason-Delmotte, J. Jouzel, A. Landais, H. Motoyama, B. Stenni # Published_Date_or_Year: 2012 # Published_Title: Ranges of moisture-source temperature estimated from Antarctic ice cores stable isotope records over glacial-interglacial cycles # Journal_Name: Climate of the Past # Volume: 8 # Edition: # Issue: 3 # Pages: 1109-1125 # DOI: 10.5194/cp-8-1109-2012 # Online_Resource: # Full_Citation: # Abstract: A single isotope ratio (dD or d18O) of water is widely used as an air-temperature proxy in Antarctic ice core records. These isotope ratios, however, do not solely depend on air-temperature but also on the extent of distillation of heavy isotopes out of atmospheric water vapor from an oceanic moisture source to a precipitation site. The temperature changes at the oceanic moisture source (DeltaTsource) and at the precipitation site (DeltaTsite) can be retrieved by using deuterium-excess (d) data. A new d record from Dome Fuji, Antarctica spanning the past 360 000 yr is presented and compared with records from Vostok and EPICA Dome C ice cores. In previous studies, to retrieve DeltaTsource and DeltaTsite information, different linear regression equations were proposed using theoretical isotope distillation models. A major source of uncertainty lies in the coefficient of regression, Bsite which is related to the sensitivity of d to DeltaTsite. We show that different ranges of temperature and selections of isotopic model outputs may increase the value of Bsite by more than a factor of two. To explore the impacts of this coefficient on reconstructed temperatures, we apply for the first time the exact same methodology to the isotope records from the three Antarctica ice cores. We show that uncertainties in the Bsite coefficient strongly affect (i) the glacial-interglacial magnitude of DeltaTsource; (ii) the imprint of obliquity in DeltaTsource and in the site-source temperature gradient. By contrast, we highlight the robustness of DeltaTsite reconstruction using water isotopes records. # -------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: JSPS Postdoctoral Fellowships for Resarch Abroad # Grant: # Funding_Agency_Name: Grant-in-Aid for scientific research # Grant: 2122102 # -------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Dome Fuji # Location: Antarctica # Country: # Northernmost_Latitude: -74.65 # Southernmost_Latitude: -74.65 # Easternmost_Longitude: 124.17 # Westernmost_Longitude: 124.17 # Elevation: 3240 m # -------------------- # Data_Collection # Collection_Name: 12Fuji02 # Earliest_Year: 339.6 # Most_Recent_Year: 0.03 # Time_Unit: kyb_2000 # Notes: {"database":"LMR"} # # -------------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age age,,,thousand years before 2000 AD,,,,,N ##delD delta deuterium,,,permil SMOW,,ice cores,,,N # # -------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing values: NAN # age delD 0.03 -403.92 0.05 -405.16 0.08 -415.06 0.11 -429.79 0.12 -435.95 0.14 -427.36 0.18 -439.86 0.21 -437.75 0.25 -431.24 0.29 -443.47 0.35 -437.56 0.38 -419.13 0.41 -427.56 0.46 -433.84 0.49 -414.43 0.52 -425.29 0.56 -424.03 0.59 -411.46 0.63 -425.93 0.68 -424.81 0.71 -437.49 0.73 -416.9 0.8 -434.65 0.84 -445.96 0.88 -414.12 0.94 -434.44 0.97 -427.17 1.01 -428.27 1.06 -420.46 1.11 -414.49 1.15 -414.33 1.2 -431.46 1.25 -416.73 1.29 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