# Antarctic Peninsula Gomez Ice Core 150 Year d18O 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:12543 # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/gomez/gomez2009d18o.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # -------------------- # Contribution_date # Date: 2015 # -------------------- # Title # Study_Name: Antarctic Peninsula Gomez Ice Core 150 Year d18O Data # -------------------- # Investigators # Investigators: Thomas, E.R.; Dennis, P.F.; Bracegirdle, T.J.; Franzke, C. # -------------------- # Description_and_Notes # Description: Annual average oxygen isotope (d18O) data from the Gomez ice core, southwestern Antarctic Peninsula, drilled in 2007. Isotope data # measured on a VG SIRA series II analyser with analytical precision of 0.07 per mil. # # Gomez, SW Antarctic Peninsula: 73.59°S, 70.36°W, 1400 m a.s.l. # # -------------------- # Publication # Authors: E.R. Thomas, P.F. Dennis, T.J. Bracegirdle, C. Franzke # Published_Date_or_Year: 2009 # Published_Title: Ice core evidence for significant 100-year regional warming on the Antarctic Peninsula # Journal_Name: Geophysical Research Letters # Volume: 36 # Edition: # Issue: L20704 # Pages: # DOI: doi:10.1029/2009GL040104 # Online_Resource: # Full_Citation: # Abstract: We present a new 150-year, high-resolution, stable isotope record (d18O) from the Gomez ice core, drilled on the data sparse south western Antarctic Peninsula, revealing a ~2.7°C rise in surface temperatures since the 1950s. The record is highly correlated with satellite-derived temperature reconstructions and instrumental records from Faraday station on the north west coast, thus making it a robust proxy for local and regional temperatures since the 1850s. We conclude that the exceptional 50-year warming, previously only observed in the northern Peninsula, is not just a local phenomena but part of a statistically significant 100-year regional warming trend that began around 1900. A suite of coupled climate models are employed to demonstrate that the 50 and 100 year temperature trends are outside of the expected range of variability from pre-industrial control runs, indicating that the warming is likely the result of external climate forcing. # -------------------- # 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: British Antarctic Survey # Grant: # -------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Gomez, Antarctic Peninsula # Location: Antarctica # Country: # Northernmost_Latitude: -73.59 # Southernmost_Latitude: -73.59 # Easternmost_Longitude: -70.36 # Westernmost_Longitude: -70.36 # Elevation: 1400 m # -------------------- # Data_Collection # Collection_Name: 09Gome01 # Earliest_Year: 2005 # Most_Recent_Year: 1857 # Time_Unit: y_ad # 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,,,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 2005.5 -21.04 2004.5 -23.02 2003.5 -22.85 2002.5 -22.51 2001.5 -23.03 2000.5 -20.28 1999.5 -20.57 1998.5 -22.63 1997.5 -21.89 1996.5 -23.12 1995.5 -22.29 1994.5 -22.71 1993.5 -22.44 1992.5 -21.62 1991.5 -23.17 1990.5 -23.6 1989.5 -22.58 1988.5 -22.79 1987.5 -22.69 1986.5 -22.05 1985.5 -22.07 1984.5 -22.03 1983.5 -24.19 1982.5 -23.29 1981.5 -21.93 1980.5 -22.07 1979.5 -23.07 1978.5 -23.03 1977.5 -23.64 1976.5 -22.38 1975.5 -23.05 1974.5 -22.28 1973.5 -22.23 1972.5 -21.75 1971.5 -21.73 1970.5 -22.25 1969.5 -23.33 1968.5 -24.34 1967.5 -22.36 1966.5 -22.97 1965.5 -23.67 1964.5 -22.5 1963.5 -23.08 1962.5 -23.51 1961.5 -23.4 1960.5 -23.57 1959.5 -22.33 1958.5 -23.67 1957.5 -24.55 1956.5 -23.36 1955.5 -22.85 1954.5 -23.29 1953.5 -24.37 1952.5 -24.48 1951.5 -23.04 1950.5 -22.09 1949.5 -22.78 1948.5 -23.55 1947.5 -23.27 1946.5 -24.12 1945.5 -22.11 1944.5 -22.9 1943.5 -22.74 1942.5 -22.86 1941.5 -23.74 1940.5 -22.51 1939.5 -22.99 1938.5 -23.08 1937.5 -22.11 1936.5 -22.74 1935.5 -22.7 1934.5 -21.88 1933.5 -23.14 1932.5 -23.19 1931.5 -22.7 1930.5 -22.56 1929.5 -23.31 1928.5 -22.52 1927.5 -23.57 1926.5 -24.07 1925.5 -22.64 1924.5 -23.23 1923.5 -23.37 1922.5 -22.47 1921.5 -23.18 1920.5 -23.24 1919.5 -23.35 1918.5 -23.78 1917.5 -22.43 1916.5 -22.7 1915.5 -22.35 1914.5 -22.22 1913.5 -23.39 1912.5 -24.01 1911.5 -24.69 1910.5 -22.89 1909.5 -23.76 1908.5 -22.83 1907.5 -22.75 1906.5 -24.31 1905.5 -25.11 1904.5 -22.48 1903.5 -21.92 1902.5 -24.96 1901.5 -23.34 1900.5 -23.46 1899.5 -24.24 1898.5 -22.79 1897.5 -23.67 1896.5 -24.51 1895.5 -22.62 1894.5 -22.68 1893.5 -23.04 1892.5 -23.15 1891.5 -23.39 1890.5 -23.43 1889.5 -21.97 1888.5 -23.33 1887.5 -21.69 1886.5 -21.44 1885.5 -23.31 1884.5 -24.11 1883.5 -22.92 1882.5 -22.72 1881.5 -24.19 1880.5 -24.11 1879.5 -22.39 1878.5 -22.42 1877.5 -23.39 1876.5 -22.13 1875.5 -23.02 1874.5 -22.27 1873.5 -23.2 1872.5 -22.78 1871.5 -22.62 1870.5 -23.59 1869.5 -23.33 1868.5 -23.62 1867.5 -24.65 1866.5 -23.86 1865.5 -22.7 1864.5 -23.22 1863.5 -23.93 1862.5 -24.21 1861.5 -23.5 1860.5 -22.42 1859.5 -22.91 1858.5 -23.82 1857.5 -23.44