Ã¯Â»Â¿# West Antarctic Ice Core 01-2 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 01-2 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 01-2
#	Location: Antarctica
#	Country: 
#	Northernmost_Latitude: -77.84
#	Southernmost_Latitude: -77.84
#	Easternmost_Longitude: -102.91
#	Westernmost_Longitude: -102.91
#	Elevation: 1336 m
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# Data_Collection
#	Collection_Name: 08ITAS02
#	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
##d18O	delta 18 oxygen,,,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	d18O
1999	-30.044
1998	-29.188
1997	-30.848
1996	-30.094
1995	-29.721
1994	-29.207
1993	-28.485
1992	-30.928
1991	-31.129
1990	-28.672
1989	-29.917
1988	-30.459
1987	-28.926
1986	-30.593
1985	-30.704
1984	-29.902
1983	-28.498
1982	-29.552
1981	-29.594
1980	-30.15
1979	-28.234
1978	-31.288
1977	-28.868
1976	-29.908
1975	-30.53
1974	-31.264
1973	-29.124
1972	-30.042
1971	-31.613
1970	-30.881
1969	-28.562
1968	-29.08
1967	-30.937
1966	-31.04
1965	-30.351
1964	-30.271
1963	-29.836
1962	-29.766
1961	-29.769
1960	-29.761
1959	-30.271
1958	-31.454
1957	-29.687
1956	-29.91
1955	-29.773
1954	-29.855
1953	-30.249
1952	-30.883
1951	-30.709
1950	-29.889
1949	-29.258
1948	-28.342
1947	-28.649
1946	-29.914
1945	-29.969
1944	-27.783
1943	-26.617
1942	-28.7
1941	-29.576
1940	-30.246
1939	-29.858
1938	-28.815
1937	-28.891
1936	-30.297
1935	-30.804
1934	-30.052
1933	-30.072
1932	-30.682
1931	-29.471
1930	-29.136
1929	-28.9
1928	-30.569
1927	-30.288
1926	-30.119
1925	-29.232
1924	-29.565
1923	-29.623
1922	-29.202
1921	-30.046
1920	-29.954
1919	-29.503
1918	-30.046
1917	-28.857
1916	-28.472
1915	-28.961
1914	-28.156
1913	-29.342
1912	-31.136
1911	-31.771
1910	-32.439
1909	-28.973
1908	-28.48
1907	-30.578
1906	-29.224
1905	-28.396
1904	-29.129
1903	-30.228
1902	-28.413
1901	-29.627
1900	-29.569