Ã¯Â»Â¿# West Antarctic Ice Core 01-5 ITASE 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
# --------------------
# Contribution_date
#	Date: 2008
# --------------------
# Title 
#	Study_Name: West Antarctic Ice Core 01-5 ITASE 20th Century Stable Isotope Data
# --------------------
# Investigators
#	Investigators: Schneider, D.P; Steig, E.J.  
# --------------------
# 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.  
#
#	Table 1. Summary information for ice core sites.
#
#	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
# --------------------
# Publication
#	Authors: D.P Schneider and E.J. Steig
#	Published_Date_or_Year: 2008-08-12
#	Published_Title: Ice cores record significant 1940s Antarctic warmth related to tropical climate variability
#	Journal_Name: Proceedings of the National Academy of Sciences
#	Volume: 
#	Edition: 	
#	Issue: 
#	Pages: 
#	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.
# --------------------
#	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.
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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: 01-5 ITASE
#	Location: Antarctica
#	Country: 
#	Northernmost_Latitude: -77.06
#	Southernmost_Latitude: -77.06 
#	Easternmost_Longitude: -89.14
#	Westernmost_Longitude: -89.14
#	Elevation: 1239 m
# --------------------
# Data_Collection
#	Collection_Name: 08ITAS01
#	Earliest_Year: 1900
#	Most_Recent_Year: 1999
#	Time_Unit: y_ad
#	Notes: {"database":"LMR"} 
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# --------------------
# 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
1999	-30.38
1998	-30.681
1997	-32.502
1996	-32.763
1995	-32.264
1994	-31.751
1993	-31.034
1992	-30.173
1991	-31.109
1990	-31.038
1989	-31.363
1988	-30.821
1987	-31.47
1986	-30.375
1985	-30.185
1984	-31.764
1983	-32.32
1982	-33.751
1981	-30.389
1980	-31.056
1979	-31.085
1978	-30.954
1977	-32.396
1976	-31.891
1975	-30.501
1974	-30.113
1973	-29.646
1972	-31.926
1971	-30.764
1970	-31.917
1969	-32.989
1968	-33.053
1967	-31.128
1966	-30.641
1965	-31.839
1964	-31.986
1963	-31.993
1962	-31.865
1961	-32.595
1960	-31.305
1959	-32.354
1958	-31.275
1957	-32.086
1956	-32.608
1955	-33.262
1954	-32.705
1953	-31.451
1952	-31.866
1951	-30.704
1950	-31.138
1949	-31.327
1948	-32.166
1947	-32.117
1946	-31.375
1945	-29.574
1944	-30.957
1943	-34.047
1942	-32.167
1941	-29.213
1940	-31.294
1939	-30.614
1938	-31.017
1937	-32.694
1936	-30.978
1935	-31.129
1934	-31.676
1933	-31.011
1932	-32.266
1931	-32.526
1930	-32.219
1929	-33.75
1928	-32.178
1927	-32.635
1926	-30.687
1925	-31.65
1924	-30.924
1923	-30.526
1922	-30.265
1921	-32.257
1920	-31.741
1919	-32.126
1918	-31.611
1917	-31.115
1916	-31.722
1915	-32.169
1914	-33.926
1913	-31.855
1912	-30.826
1911	-32.091
1910	-32.107
1909	-31.88
1908	-32.982
1907	-34.125
1906	-34.049
1905	-31.907
1904	-30.163
1903	-34.175
1902	-32.721
1901	-31.368
1900	-32.705