# Dunde, China Ice Core Oxygen Isotope Data #----------------------------------------------------------------------- # 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=519:1:0::::P1_STUDY_ID:2480 # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/trop/dunde/dunde-d18o.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # -------------------- # Contribution_date # Date: 2004 # -------------------- # Title # Study_Name: West Antarctic Ice Core 01-5 ITASE 20th Century Stable Isotope Data # -------------------- # Investigators # Investigators: Thompson, L.G., Mosley-Thompson, E.; Davis, M.E.; Lin, P.N.; Henderson, K.; Mashiotta, T.A. # -------------------- # Description_and_Notes # Description: Decadally averaged d18O (1987 - 1000 A.D.) from figure 5 of Thompson et al. 2003. # -------------------- # Publication # Authors: L.G. Thompson, E. Mosley-Thompson, M.E. Davis, P.-N. Lin, K. Henderson, and T.A. Mashiotta # Published_Date_or_Year: 2003 # Published_Title: Tropical glacier and ice core evidence of climate change on annual to millennial time scales. # Journal_Name: Climate Change # Volume: 59 # Edition: # Issue: # Pages: 137-155 # DOI: # Online_Resource: # Full_Citation: # Abstract: This paper examines the potential of the stable isotopic ratios, 18O/16O (d18Oice) and 2H/1H (dDice), preserved in mid to low latitude glaciers as a tool for paleoclimate reconstruction. Ice cores are particularly valuable as they contain additional data, such as dust concentrations, aerosol chemistry, and accumulation rates, that can be combined with the isotopic information to assist with inferences about the regional climate conditions prevailing at the time of deposition. We use a collection of multi-proxy ice core histories to explore the d18O-climate relationship over the last 25,000 years that includes both Late Glacial Stage (LGS) and Holocene climate conditions. These results suggest that on centennial to millennial time scales atmospheric temperature is the principal control on the d18Oice of the snowfall that sustains these high mountain ice fields. Decadally averaged d18Oice records from three Andean and three Tibetan ice cores are composited to produce a low latitude d18Oice history for the last millennium. Comparison of this ice core composite with the Northern Hemisphere proxy record (1000–2000 A.D.) reconstructed by Mann et al. (1999) and measured temperatures (1856–2000) reported by Jones et al. (1999) suggests the ice cores have captured the decadal scale variability in the global temperature trends. These ice cores show a 20th century isotopic enrichment that suggests a large scale warming is underway at low latitudes. The rate of this isotopically inferred warming is amplified at higher elevations over the Tibetan Plateau while amplification in the Andes is latitude dependent with enrichment (warming) increasing equatorward. In concert with this apparent warming, in situ observations reveal that tropical glaciers are currently disappearing. A brief overview of the loss of these tropical data archives over the last 30 years is presented along with evaluation of recent changes in mean d18Oice composition. The isotopic composition of precipitation should be viewed not only as a powerful proxy indicator of climate change, but also as an additional parameter to aid our understanding of the linkages between changes in the hydrologic cycle and global climate. # -------------------- # 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: # Grant: # -------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Dunde # Location: Asia>China # Country: China # Northernmost_Latitude: 38.17 # Southernmost_Latitude: 38.17 # Easternmost_Longitude: 96.43 # Westernmost_Longitude: 96.43 # Elevation: 1239 m # -------------------- # Data_Collection # Collection_Name: 03Dund01 # Earliest_Year: 1900 # Most_Recent_Year: 1986 # Time_Unit: y_ad # Notes: {"database":"LMR"} # # -------------------- # Variables # ##age age,,,years AD,,,,,N ##d18O delta 18 oxygen,,,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 d18O 1986 -7.783 1985 -8.605 1984 -8.362 1983 -8.654 1982 -11.138 1981 -9.513 1980 -10.684 1979 -8.55 1978 -9.818 1977 -9.864 1976 -9.091 1975 -10.793 1974 -9.426 1973 -10.136 1972 -10.576 1971 -10.444 1970 -9.55 1969 -8.45 1968 -11.021 1967 -10.716 1966 -9.71 1965 -9.252 1964 -10.804 1963 -9.787 1962 -8.861 1961 -10.697 1960 -9.403 1959 -10.94 1958 -9.182 1957 -8.199 1956 -10.408 1955 -9.024 1954 -7.053 1953 -7.26 1952 -8.43 1951 -8.81 1950 -10.208 1949 -9.479 1948 -9.838 1947 -8.688 1946 -10.629 1945 -9.657 1944 -9.773 1943 -10.897 1942 -10.153 1941 -10.239 1940 -10.742 1939 -11.36 1938 -10.55 1937 -9.887 1936 -10.057 1935 -10.411 1934 -10.402 1933 -9.952 1932 -13.08 1931 -9.97 1930 -10.28 1929 -10.117 1928 -9.851 1927 -10.547 1926 -10.296 1925 -9.503 1924 -10.197 1923 -11.552 1922 -11.402 1921 -10.706 1920 -10.971 1919 -11.76 1918 -9.45 1917 -9.424 1916 -10.366 1915 -11.761 1914 -11.127 1913 -11.603 1912 -11.427 1911 -11.216 1910 -11.044 1909 -10.506 1908 -11.872 1907 -10.725 1906 -9.622 1905 -10.868 1904 -10.004 1903 -11.285 1902 -9.394 1901 -9.457 1900 -9.866