Ã¯Â»Â¿# ITASE 00-05
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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: 
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL: 
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Ice Cores
# --------------------
# Contribution_date
#	Date: 2015
# --------------------
# Title 
#	Study_Name: ITASE 00-05
# --------------------
# Investigators
#	Investigators: Schneider, D.P.; Noone, D. C. 
# --------------------
# Description_and_Notes
# 	Description: 
#
# --------------------
# Publication
#	Authors: David P. Schneider, David C. Noone 
#	Published_Date_or_Year: 2007-09-20
#	Published_Title: Spatial covariance of water isotope records in a global network of ice cores spanning twentieth-century climate change
#	Journal_Name: Journal of Geophysical Research
#	Volume: 112			
#	Edition: 	
#	Issue: D18105
#	Pages: 
#	DOI: doi:10.1029/2007JD008652
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: Estimating the spatial extent of past climate changes has been an ongoing challenge for paleoclimatology. For such estimates to be made with confidence, it is important to establish an understanding of the spatial coherence of proxy records during an interval of known climate change. We use water stable isotopes from high-resolution ice cores and twentieth-century observations of sea level pressures and sea surface temperatures to assess the covariance among isotopic records and its link to organized patterns of climate variability. Covarying signals in the cores are identified using empirical orthogonal function analysis. Results from regression analysis show that the leading signals are consistent with key climate patterns including the Northern Atlantic Oscillation and Southern Annular Mode and variability in tropical Pacific sea surface temperatures associated with the El NinÃÂoÃ¢ÂÂSouthern Oscillation. Patterns that have recently been identified in instrumental data, such as positive tropical Pacific SST anomalies associated with the negative phase of the SAM, are evident in the ice cores. These explanations for the variance of stable isotopes are consistent with recent studies using isotope-enabled general circulation models and provide a physical basis for interpreting the observed isotopic signals. While there is also a global change signal that is evident when analyzing the records collectively, there are some limitations in reconstructing global temperatures due to the geographic coverage of the available records and the current lack of modeling studies to explain the observed global-scale changes. Still, water stable isotope ratios preserved in ice cores provide a sufficiently rich sampling of large-scale climate variability that they can be more widely used in physically based paleoclimate reconstructions covering the last millennium and other periods.
# --------------------
#	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: 
#	Grant:
# --------------------
#	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: ITASE 00-05
#	Location: Antarctica
#	Country: 
#	Northernmost_Latitude: -77.68
#	Southernmost_Latitude: -77.68
#	Easternmost_Longitude: -124.00
#	Westernmost_Longitude: -124.00
#	Elevation: 1336 m
# --------------------
# Data_Collection
#	Collection_Name: 00ITAS05
#	Earliest_Year: 1719
#	Most_Recent_Year: 2000
#	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
##delD	delta deuterium,,,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	delD
2000	-278.8096296
1999	-289.372381
1998	-277.3246667
1997	-269.3755556
1996	-257.6471429
1995	-265.7514286
1994	-269.73375
1993	-276.5133333
1992	-255.1136364
1991	-258.3691667
1990	-267.9857143
1989	-266.5433333
1988	-269.70125
1987	-273.8571429
1986	-278.4776923
1985	-277.41375
1984	-261.192
1983	-272.7842857
1982	-277.4522222
1981	-278.3922222
1980	-242.3518182
1979	-283.925
1978	-287.4414286
1977	-287.77
1976	-279.6325
1975	-267.4
1974	-255.66375
1973	-268.665
1972	-260.625
1971	-281.3571429
1970	-266.899
1969	-260.3966667
1968	-248.9555556
1967	-268.8328571
1966	-286.46125
1965	-263.4742857
1964	-261.5428571
1963	-276.799
1962	-275.8055556
1961	-273.9228571
1960	-258.36875
1959	-268.04625
1958	-256.5507692
1957	-251.28125
1956	-274.83375
1955	-281.0616667
1954	-270.21
1953	-268.04875
1952	-267.7107692
1951	-277.291
1950	-270.856
1949	-264.35
1948	-261.4025
1947	-277.5966667
1946	-269.2071429
1945	-247.9242857
1944	-261.9325
1943	-277.3533333
1942	-279.82875
1941	-259.707
1940	-262.4475
1939	-256.1475
1938	-250.1742857
1937	-256.6666667
1936	-253.0911111
1935	-247.7981818
1934	-265.5311111
1933	-274.57
1932	-279.405
1931	-265.27
1930	-254.6025
1929	-262.915
1928	-270.6425
1927	-263.047
1926	-280.185
1925	-265.7411111
1924	-259.0728571
1923	-256.3742857
1922	-265.51875
1921	-280.89
1920	-268.3016667
1919	-261.5533333
1918	-274.678
1917	-255.6544444
1916	-260.8083333
1915	-270.19
1914	-280.1316667
1913	-263.0383333
1912	-255.68
1911	-258.706
1910	-279.1375
1909	-284.2166667
1908	-270.63625
1907	-280.935
1906	-262.6342857
1905	-258.215
1904	-279.316
1903	-274.868
1902	-259.7785714
1901	-269.2933333
1900	-265.3071429
1899	-241.22
1898	-246.3375
1897	-253.7725
1896	-264.78
1895	-268.904
1894	-278.88
1893	-282.718
1892	-277.3383333
1891	-283.838
1890	-264.15
1889	-261.995
1888	-267.124
1887	-261.31
1886	-275.01
1885	-268.9625
1884	-259.234
1883	-250.43
1882	-258.71
1881	-262.602
1880	-271.225
1879	-280.55
1878	-275.9583333
1877	-249.998
1876	-256.61
1875	-277.122
1874	-284.3
1873	-268.4025
1872	-265.3275
1871	-273.8625
1870	-282.6025
1869	-279.338
1868	-269.4825
1867	-263.7466667
1866	-267.425
1865	-268.185
1864	-266.2433333
1863	-267.6633333
1862	-282.56
1861	-277.3183333
1860	-260.23
1859	-257.676
1858	-267.334
1857	-266.78
1856	-256.36
1855	-256.0333333
1854	-261.6471429
1853	-277.4575
1852	-276.1525
1851	-269.0933333
1850	-261.535
1849	-269.314
1848	-260.284
1847	-268.22
1846	-266.08
1845	-270.224
1844	-268.24
1843	-269.52
1842	-274.076
1841	-257.4125
1840	-276.7333333
1839	-277.7975
1838	-258.675
1837	-250.3771429
1836	-268.9142857
1835	-253.0671429
1834	-249.5
1833	-264.026
1832	-274.688
1831	-278.826
1830	-269.0783333
1829	-269.2525
1828	-266.3183333
1827	-268.302
1826	-254.7183333
1825	-268.9766667
1824	-268.9216667
1823	-260.4
1822	-274.16
1821	-284.8375
1820	-265.266
1819	-253.0366667
1818	-253.664
1817	-262.5233333
1816	-267.295
1815	-267.5925
1814	-272.328
1813	-270.91
1812	-266.7775
1811	-266.274
1810	-278.525
1809	-284.555
1808	-285.745
1807	-290.735
1806	-277.7075
1805	-267.426
1804	-260.67
1803	-256.945
1802	-263.882
1801	-264.55
1800	-273.8185714
1799	-274.306
1798	-271.5825
1797	-261.5766667
1796	-260.068
1795	-255.585
1794	-255.3625
1793	-270.958
1792	-272.055
1791	-268.936
1790	-271.8433333
1789	-272.8433333
1788	-267.0275
1787	-262.73
1786	-262.952
1785	-265.44
1784	-278.85
1783	-283.4033333
1782	-271.72
1781	-254.795
1780	-262.318
1779	-255.25
1778	-264.885
1777	-277.2066667
1776	-269.1375
1775	-262.275
1774	-254.15
1773	-255.4583333
1772	-272.4033333
1771	-260.295
1770	-259.44
1769	-265.8966667
1768	-258.0475
1767	-267.255
1766	-275.65
1765	-279.5925
1764	-276.4425
1763	-265.7566667
1762	-258.69
1761	-258.115
1760	-259.99
1759	-257.9933333
1758	-246.885
1757	-242.8825
1756	-243.13
1755	-245.935
1754	-257.804
1753	-260.1866667
1752	-262.05
1751	-269.432
1750	-274.036
1749	-267.122
1748	-258.525
1747	-251.0575
1746	-251.9025
1745	-258.4933333
1744	-260.75
1743	-257.845
1742	-258.15
1741	-265.9766667
1740	-266.9475
1739	-266.8425
1738	-263.615
1737	-259.17
1736	-258.3475
1735	-264.544
1734	-265.906
1733	-249.5466667
1732	-248.42
1731	-251.63
1730	-258.7866667
1729	-263.2366667
1728	-263.82
1727	-263.8175
1726	-260.93
1725	-258.0275
1724	-256.8866667
1723	-256.04
1722	-259.46
1721	-265.95
1720	-265.53
1719	-263.93