Ã¯Â»Â¿# West Antarctic Ice Core 01-3 20th Century Stable Isotope Data
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#               World Data Center for Paleoclimatology, Boulder
#                                  and
#                     NOAA Paleoclimatology Program
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# 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
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# Online_Resource: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_STUDY_ID:6182
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/west-antarctic-iso2008.txt
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Ice Cores
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# Contribution_date
#	Date: 2008
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# Title 
#	Study_Name: West Antarctic Ice Core 01-3 20th Century Stable Isotope Data
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# Investigators
#	Investigators: Schneider, D.P; Steig, E.J.  
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# Description_and_Notes
#	Description: Water stable isotope data from high-resolution ice cores from the West Antarctic Ice Sheet. The record is representative of West Antarctic surface temperature.  
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#	Table 1. Summary information for ice core sites.
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#	Site Name       Lat(ÃÂ°N)   Lon(ÃÂ°E)  Elev(m)     Type    End yr
#	Dyer Plateau     -70.66    -64.5      2002     d18O    1989
#	Siple Station    -75.92    -84.15     1054     d18O    1983
#	01-5 ITASE       -77.06    -89.14     1239     d18O    1999
#	00-5 ITASE       -77.68    -123.99    1828     dD      1999
#	01-2 ITASE       -77.84    -102.91    1336     d18O    1999
#	01-3 ITASE       -78.12    -95.65     1620     dD      1999
#	00-1 ITASE       -79.38    -111.23    1791     dD      1999
#	Siple Dome A     -81.65    -148.81     615     dD      1993
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# Publication
#	Authors: D.P. Schneider, E.J. Steig 
#	Published_Date_or_Year: 2008-08-12
#	Published_Title: Ice cores record significant 1940s Antarctic warmth related to tropical climate variability 
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#	DOI: 10.1073/pnas.0803627105
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: Although the 20th Century warming of global climate is well known, climate change in the high-latitude Southern Hemisphere (SH),  especially in the first half of the century, remains poorly documented.  We present a composite of water stable isotope data from high-resolution ice cores from the West Antarctic Ice Sheet. This record, representative of West Antarctic surface temperature, shows extreme positive anomalies  in the 1936Ã¢ÂÂ45 decade that are significant in the context of the background 20th Century warming trend. We interpret these anomalies - previously undocumented in the high-latitude SH - as indicative of  strong teleconnections in part driven by the major 1939Ã¢ÂÂ42 El NiÃÂ±o. These anomalies are coherent with tropical sea-surface temperature, mean SH air temperature, and North Pacific sea-level pressure, underscoring the sensitivity of West Antarctica's climate, and potentially its ice sheet, to large-scale changes in the  global climate.ith phase variation of <1 month. Dating precision and accuracy are uniform with depth, for at least the last 100 years.
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#	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
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#	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.
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# Funding_Agency
#	Funding_Agency_Name: United States National Science Foundation, Office of Polar Programs
# Funding_Agency
#	Funding_Agency_Name: National Center for Atmospheric Research
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#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
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# Site_Information
#	Site_Name: US ITASE 01-3
#	Location: Antarctica
#	Country: 
#	Northernmost_Latitude: -78.120
#	Southernmost_Latitude: -78.120 
#	Easternmost_Longitude: 95.650
#	Westernmost_Longitude: 95.650
#	Elevation: 1620 m
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# Data_Collection
#	Collection_Name: 08ITAS03
#	Earliest_Year: 1900
#	Most_Recent_Year: 1999
#	Time_Unit: y_ad
#	Notes: {"database":"LMR"} 
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# Variables
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# 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) 
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##age	age,,,years AD,,,,,N
##delD	delta deuterium,,,permil SMOW,,Ice Cores,,,N 
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
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age	delD
1999	-244.56
1998	-245.656
1997	-248.272
1996	-255.838
1995	-243.198
1994	-248.771
1993	-248.593
1992	-243.89
1991	-250.731
1990	-262.906
1989	-263.612
1988	-244.768
1987	-252.933
1986	-247.19
1985	-260.861
1984	-259.319
1983	-244.644
1982	-266.378
1981	-254.392
1980	-253.949
1979	-245.059
1978	-249.788
1977	-250.9
1976	-259.192
1975	-260.708
1974	-255.541
1973	-256.825
1972	-257.845
1971	-268.629
1970	-245.169
1969	-265.013
1968	-247.729
1967	-249.513
1966	-251.577
1965	-254.44
1964	-258.416
1963	-258.891
1962	-255.327
1961	-249.749
1960	-240.063
1959	-259.092
1958	-258.964
1957	-262.626
1956	-253.095
1955	-256.234
1954	-264.463
1953	-255.583
1952	-259.746
1951	-258.646
1950	-249.265
1949	-250.391
1948	-259.973
1947	-257.87
1946	-245.914
1945	-242.694
1944	-238.081
1943	-272.303
1942	-269.147
1941	-241.431
1940	-235.005
1939	-252.562
1938	-241.824
1937	-257.314
1936	-266.742
1935	-252.982
1934	-261.019
1933	-250.622
1932	-250.427
1931	-254.967
1930	-241.804
1929	-261.552
1928	-264.158
1927	-242.366
1926	-252.287
1925	-242.914
1924	-252.212
1923	-257.302
1922	-253.582
1921	-245.033
1920	-244.613
1919	-254.823
1918	-255.475
1917	-256.532
1916	-255.837
1915	-255.566
1914	-254.326
1913	-264.048
1912	-244.731
1911	-255.772
1910	-251.602
1909	-253.61
1908	-253.277
1907	-258.316
1906	-278.355
1905	-277.763
1904	-255.016
1903	-259.989
1902	-253.194
1901	-252.701
1900	-249.29