Ã¯Â»Â¿#  Global and Hemispheric 400 Year Glacier Length Temperature Reconstructions
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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:13544
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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/contributions_by_author/leclercq2012/leclercq2012global.txt
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Climate Reconstructions
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# Contribution_date
#	Date: 2012-11-30
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# Title 
#	Study_Name:  Global and Hemispheric 400 Year Glacier Length Temperature Reconstructions

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# Investigators
#	Investigators:  Leclercq, P.W.; Oerlemans, J.
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# Description_and_Notes
# 	Description:  Global, Northern hemisphere, and Southern hemisphere temperature reconstructions for period 1600 to 2000, based on world-wide glacier length changes. Data are the reconstructed temperature anomaly w.r.t. the 1961-1990 average temperature, plus the uncertainty at 95% confidence interval.
# --------------------
# Publication
#	Authors:  Paul Willem Leclercq and Johannes Oerlemans
#	Published_Date_or_Year:  2012- 03- 01
#	Published_Title:  Global and hemispheric temperature reconstruction from glacier length fluctuations
#	Journal_Name: Climate Dynamics
#	Volume:  38
#	Edition:  5-6
#	Issue:  1065-1079
#	Pages:  437-449
#	DOI: 10.1007/s00382-011-1145-7
#	Online_Resource:  
#	Full_Citation:  
#	Abstract:  Temperature reconstructions for recent centuries provide a historical context for the warming over the twentieth century. We reconstruct annual averaged surface temperatures of the past 400 years on hemispherical and global scale from glacier length fluctuations. We use the glacier length records of 308 glaciers. The reconstruction is a temperature proxy with decadal resolution that is completely independent of other temperature records. Temperatures are derived from glacier length changes using a linear response equation and an analytical glacier model that is calibrated on numerical model results. The global and hemispherical temperatures reconstructed from glacier length fluctuations are in good agreement with the instrumental record of the last century. Furthermore our results agree with existing multi-proxy reconstructions of temperature in the pre-instrumental period. The temperature record obtained from glacier fluctuations confirms the pronounced warming of the twentieth century, giving a global cumulative warming of 0.94 ÃÂÃÂ± 0.31 K over the period 1830-2000 and a cumulative warming of 0.84 ÃÂÃÂ± 0.35 K over the period 1600-2000.
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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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#	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:  
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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: Global
#	Location: Geographic Region> Global
#	Country:  
#	Northernmost_Latitude: 0
#	Southernmost_Latitude: 90
#	Easternmost_Longitude:  180
#	Westernmost_Longitude: -180
#	Elevation:
# --------------------
# Data_Collection
#	Collection_Name: 12Glob03
#	Earliest_Year:  1600
#	Most_Recent_Year:  2000
#	Time_Unit: y_ad
#
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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 
##temp_anom	surface temperature anomaly, , , , degrees C, Climate Reconstructions, , ,  anomaly w.r.t. the 1961-1990 mean, N
#
# --------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
#
age	temp_anom
1600	-0.811199
1601	-0.75802
1602	-0.757023
1603	-0.756111
1604	-0.755202
1605	-0.754293
1606	-0.753382
1607	-0.752473
1608	-0.751565
1609	-0.75066
1610	-0.749694
1611	-0.648835
1612	-0.647964
1613	-0.647112
1614	-0.646264
1615	-0.645422
1616	-0.644585
1617	-0.643754
1618	-0.642928
1619	-0.642107
1620	-0.641283
1621	-0.640464
1622	-0.639661
1623	-0.638864
1624	-0.638073
1625	-0.637288
1626	-0.636509
1627	-0.635736
1628	-0.63497
1629	-0.551402
1630	-0.550725
1631	-0.550054
1632	-0.549388
1633	-0.548729
1634	-0.548075
1635	-0.547428
1636	-0.546786
1637	-0.54615
1638	-0.545519
1639	-0.544895
1640	-0.634791
1641	-0.633997
1642	-0.633218
1643	-0.632446
1644	-0.63168
1645	-0.630919
1646	-0.630164
1647	-0.629416
1648	-0.628673
1649	-0.62793
1650	-0.627192
1651	-0.626468
1652	-0.62575
1653	-0.625039
1654	-0.624334
1655	-0.623636
1656	-0.622944
1657	-0.622259
1658	-0.62158
1659	-0.649444
1660	-0.648805
1661	-0.740285
1662	-0.739453
1663	-0.743427
1664	-0.837998
1665	-0.81383
1666	-0.812885
1667	-0.811919
1668	-0.810978
1669	-0.810041
1670	-0.809095
1671	-0.80815
1672	-0.80724
1673	-0.806407
1674	-0.805555
1675	-0.80462
1676	-0.769966
1677	-0.768963
1678	-0.767957
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1680	-0.765924
1681	-0.762775
1682	-0.761732
1683	-0.760665
1684	-0.75959
1685	-0.758504
1686	-0.75741
1687	-0.715352
1688	-0.714925
1689	-0.71527
1690	-0.715569
1691	-0.715814
1692	-0.715982
1693	-0.716069
1694	-0.716069
1695	-0.71598
1696	-0.715163
1697	-0.714239
1698	-0.713825
1699	-0.71325
1700	-0.712475
1701	-0.711347
1702	-0.709793
1703	-0.708021
1704	-0.706102
1705	-0.703973
1706	-0.70173
1707	-0.699468
1708	-0.697207
1709	-0.694964
1710	-0.692754
1711	-0.69059
1712	-0.688488
1713	-0.686443
1714	-0.684444
1715	-0.682494
1716	-0.680585
1717	-0.678707
1718	-0.676853
1719	-0.675014
1720	-0.673186
1721	-0.671361
1722	-0.669535
1723	-0.667705
1724	-0.665824
1725	-0.663788
1726	-0.661505
1727	-0.658905
1728	-0.655912
1729	-0.652444
1730	-0.648395
1731	-0.643635
1732	-0.63795
1733	-0.63067
1734	-0.621306
1735	-0.610354
1736	-0.598447
1737	-0.585996
1738	-0.57333
1739	-0.560622
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1744	-0.498534
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1765	-0.561454
1766	-0.567409
1767	-0.573142
1768	-0.578449
1769	-0.583439
1770	-0.588087
1771	-0.592083
1772	-0.595457
1773	-0.59839
1774	-0.600948
1775	-0.603204
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1777	-0.606935
1778	-0.608477
1779	-0.609873
1780	-0.61116
1781	-0.612399
1782	-0.613624
1783	-0.614801
1784	-0.615895
1785	-0.616889
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1790	-0.645208
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1794	-0.63974
1795	-0.636223
1796	-0.632085
1797	-0.627194
1798	-0.62146
1799	-0.614895
1800	-0.607383
1801	-0.598219
1802	-0.586992
1803	-0.574816
1804	-0.562765
1805	-0.551183
1806	-0.539452
1807	-0.52793
1808	-0.518847
1809	-0.513107
1810	-0.510384
1811	-0.510481
1812	-0.513027
1813	-0.517662
1814	-0.524481
1815	-0.533431
1816	-0.543732
1817	-0.554476
1818	-0.565319
1819	-0.575498
1820	-0.584195
1821	-0.591841
1822	-0.598947
1823	-0.605214
1824	-0.610212
1825	-0.61409
1826	-0.885481
1827	-0.885758
1828	-0.884709
1829	-0.883222
1830	-0.881407
1831	-0.879311
1832	-0.876935
1833	-0.874301
1834	-0.871451
1835	-0.869069
1836	-0.866488
1837	-0.863026
1838	-0.859354
1839	-0.855466
1840	-0.851348
1841	-0.846985
1842	-0.842366
1843	-0.849922
1844	-0.844744
1845	-0.839172
1846	-0.833289
1847	-0.827132
1848	-0.820636
1849	-0.813777
1850	-0.806585
1851	-0.798976
1852	-0.791254
1853	-0.783124
1854	-0.774507
1855	-0.766143
1856	-0.758016
1857	-0.7499
1858	-0.741664
1859	-0.732787
1860	-0.723392
1861	-0.714408
1862	-0.705955
1863	-0.697777
1864	-0.689761
1865	-0.681787
1866	-0.626583
1867	-0.618972
1868	-0.611173
1869	-0.60279
1870	-0.593567
1871	-0.583895
1872	-0.573871
1873	-0.563876
1874	-0.554211
1875	-0.544947
1876	-0.535955
1877	-0.527077
1878	-0.518354
1879	-0.50982
1880	-0.501476
1881	-0.493144
1882	-0.484773
1883	-0.462521
1884	-0.454232
1885	-0.445565
1886	-0.436402
1887	-0.426741
1888	-0.417257
1889	-0.407847
1890	-0.397567
1891	-0.388206
1892	-0.381008
1893	-0.375246
1894	-0.319769
1895	-0.322766
1896	-0.320737
1897	-0.382286
1898	-0.380635
1899	-0.368803
1900	-0.348661
1901	-0.343187
1902	-0.337013
1903	-0.330529
1904	-0.323957
1905	-0.316695
1906	-0.308878
1907	-0.293244
1908	-0.284986
1909	-0.27628
1910	-0.266842
1911	-0.256405
1912	-0.248695
1913	-0.239287
1914	-0.228278
1915	-0.216699
1916	-0.204367
1917	-0.190919
1918	-0.177061
1919	-0.162834
1920	-0.147403
1921	-0.130439
1922	-0.14187
1923	-0.129007
1924	-0.117745
1925	-0.10884
1926	-0.102309
1927	-0.096448
1928	-0.08843
1929	-0.077218
1930	-0.063093
1931	-0.047043
1932	-0.032062
1933	-0.027236
1934	-0.011363
1935	0.005206
1936	0.023389
1937	0.039566
1938	0.063806
1939	0.082624
1940	0.090484
1941	0.085104
1942	0.062805
1943	0.032344
1944	0.008998
1945	-0.004404
1946	0.005563
1947	-0.005265
1948	-0.016297
1949	-0.023049
1950	-0.026649
1951	-0.027302
1952	-0.023159
1953	-0.015852
1954	-0.008106
1955	0.000886
1956	0.012269
1957	0.021325
1958	0.024649
1959	0.025559
1960	0.025165
1961	0.024005
1962	0.021707
1963	0.012598
1964	-0.000765
1965	-0.009748
1966	-0.017534
1967	-0.022873
1968	-0.021192
1969	-0.017263
1970	-0.013218
1971	-0.015324
1972	-0.015184
1973	-0.003667
1974	0.024789
1975	0.053665
1976	0.057103
1977	0.059092
1978	0.071899
1979	0.088721
1980	0.110181
1981	0.133682
1982	0.151194
1983	0.157477
1984	0.155796
1985	0.149525
1986	0.147296
1987	0.165616
1988	0.190694
1989	0.215744
1990	0.244059
1991	0.262468
1992	0.217961
1993	0.232294
1994	0.244322
1995	0.255793
1996	0.280407
1997	0.305253
1998	0.326886
1999	0.366359
2000	0.415798