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: 90
#	Southernmost_Latitude: -0
#	Easternmost_Longitude: 180
#	Westernmost_Longitude: -180
#	Elevation:
# --------------------
# Data_Collection
#	Collection_Name: 12Glob02
#	Earliest_Year: 1600
#	Most_Recent_Year: 2000
#	Time_Unit: y_ad
#
# --------------------
# 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, , , years AD, degrees C, Climate Reconstructions, , ,  anomaly w.r.t. the 1961-1990 average, N
#
# --------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
#
age	temp_anom
1601	-0.647861
1602	-0.639141
1603	-0.628673
1604	-0.619945
1605	-0.430137
1606	-0.423259
1607	-0.417669
1608	-0.411863
1609	-0.404188
1610	-0.395922
1611	-0.384674
1612	-0.370804
1613	-0.359246
1614	-0.350119
1615	-0.343476
1616	-0.339048
1617	-0.334994
1618	-0.329744
1619	-0.325231
1620	-0.323749
1621	-0.326009
1622	-0.330546
1623	-0.337138
1624	-0.343287
1625	-0.348764
1626	-0.354149
1627	-0.359266
1628	-0.364391
1629	-0.369662
1630	-0.374712
1631	-0.3793
1632	-0.383309
1633	-0.387018
1634	-0.390609
1635	-0.39338
1636	-0.395209
1637	-0.396449
1638	-0.397062
1639	-0.397015
1640	-0.396288
1641	-0.394861
1642	-0.395602
1643	-0.393999
1644	-0.381801
1645	-0.367647
1646	-0.357035
1647	-0.34617
1648	-0.335581
1649	-0.325833
1650	-0.317355
1651	-0.310169
1652	-0.304078
1653	-0.299444
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1655	-0.294809
1656	-0.292429
1657	-0.294165
1658	-0.303181
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1660	-0.330073
1661	-0.342446
1662	-0.354958
1663	-0.363212
1664	-0.363964
1665	-0.359917
1666	-0.35663
1667	-0.354454
1668	-0.350996
1669	-0.34592
1670	-0.340144
1671	-0.335009
1672	-0.330485
1673	-0.326249
1674	-0.322604
1675	-0.319414
1676	-0.333405
1677	-0.330951
1678	-0.329198
1679	-0.328491
1680	-0.329437
1681	-0.331381
1682	-0.33291
1683	-0.333529
1684	-0.333078
1685	-0.331396
1686	-0.328112
1687	-0.323618
1688	-0.318994
1689	-0.314526
1690	-0.309932
1691	-0.304371
1692	-0.297898
1693	-0.292455
1694	-0.290035
1695	-0.291062
1696	-0.295642
1697	-0.303499
1698	-0.313017
1699	-0.322363
1700	-0.33207
1701	-0.343726
1702	-0.357115
1703	-0.370515
1704	-0.382986
1705	-0.394425
1706	-0.4024
1707	-0.411135
1708	-0.419862
1709	-0.429179
1710	-0.4371
1711	-0.442066
1712	-0.443883
1713	-0.442593
1714	-0.439055
1715	-0.434366
1716	-0.428784
1717	-0.423037
1718	-0.418013
1719	-0.413054
1720	-0.388425
1721	-0.380277
1722	-0.373872
1723	-0.369701
1724	-0.367642
1725	-0.367375
1726	-0.367718
1727	-0.367029
1728	-0.365099
1729	-0.362271
1730	-0.358777
1731	-0.484721
1732	-0.480036
1733	-0.474566
1734	-0.468761
1735	-0.462589
1736	-0.456384
1737	-0.45102
1738	-0.446322
1739	-0.441915
1740	-0.437738
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1767	-0.49525
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1769	-0.518705
1770	-0.533918
1771	-0.561928
1772	-0.576494
1773	-0.581805
1774	-0.583341
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1780	-0.523091
1781	-0.472357
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1800	-0.48578
1801	-0.482002
1802	-0.471807
1803	-0.469173
1804	-0.466831
1805	-0.466068
1806	-0.467579
1807	-0.470946
1808	-0.475137
1809	-0.481119
1810	-0.489872
1811	-0.501557
1812	-0.514036
1813	-0.524252
1814	-0.530796
1815	-0.536382
1816	-0.539306
1817	-0.545721
1818	-0.54691
1819	-0.538399
1820	-0.524905
1821	-0.513325
1822	-0.504521
1823	-0.480683
1824	-0.476822
1825	-0.474362
1826	-0.471932
1827	-0.4687
1828	-0.465285
1829	-0.465269
1830	-0.469614
1831	-0.475681
1832	-0.480503
1833	-0.483591
1834	-0.534129
1835	-0.534768
1836	-0.526428
1837	-0.524583
1838	-0.522748
1839	-0.521214
1840	-0.519447
1841	-0.542972
1842	-0.541618
1843	-0.541824
1844	-0.542037
1845	-0.539911
1846	-0.536797
1847	-0.533722
1848	-0.530273
1849	-0.5282
1850	-0.531119
1851	-0.569557
1852	-0.56823
1853	-0.565208
1854	-0.560669
1855	-0.555038
1856	-0.546477
1857	-0.54004
1858	-0.534935
1859	-0.52655
1860	-0.519659
1861	-0.539647
1862	-0.532052
1863	-0.521921
1864	-0.523469
1865	-0.519465
1866	-0.513916
1867	-0.512927
1868	-0.511265
1869	-0.507943
1870	-0.523583
1871	-0.514898
1872	-0.501572
1873	-0.494504
1874	-0.491814
1875	-0.488272
1876	-0.432387
1877	-0.43012
1878	-0.430344
1879	-0.435308
1880	-0.437578
1881	-0.453442
1882	-0.454491
1883	-0.448777
1884	-0.408645
1885	-0.42899
1886	-0.419257
1887	-0.435209
1888	-0.409504
1889	-0.407138
1890	-0.475821
1891	-0.363649
1892	-0.354529
1893	-0.346428
1894	-0.348582
1895	-0.351056
1896	-0.377904
1897	-0.382717
1898	-0.395352
1899	-0.401045
1900	-0.391656
1901	-0.385183
1902	-0.384601
1903	-0.38405
1904	-0.379575
1905	-0.377359
1906	-0.373737
1907	-0.371504
1908	-0.368501
1909	-0.36426
1910	-0.367044
1911	-0.360621
1912	-0.355279
1913	-0.352349
1914	-0.343884
1915	-0.33959
1916	-0.3358
1917	-0.331303
1918	-0.323827
1919	-0.316377
1920	-0.306643
1921	-0.282581
1922	-0.273801
1923	-0.263421
1924	-0.252354
1925	-0.238045
1926	-0.228365
1927	-0.213694
1928	-0.203266
1929	-0.187763
1930	-0.173427
1931	-0.161743
1932	-0.14914
1933	-0.110663
1934	-0.092983
1935	-0.078107
1936	-0.062835
1937	-0.050295
1938	-0.043025
1939	-0.031688
1940	-0.019947
1941	-0.009301
1942	0.001883
1943	0.012735
1944	0.019034
1945	0.027323
1946	0.034876
1947	0.045449
1948	0.049578
1949	0.046652
1950	0.04553
1951	0.037978
1952	0.027568
1953	0.015746
1954	0.005375
1955	-0.002787
1956	-0.010955
1957	-0.01576
1958	-0.018611
1959	-0.018569
1960	-0.020969
1961	-0.025814
1962	-0.028974
1963	-0.029595
1964	-0.034735
1965	-0.047186
1966	-0.054796
1967	-0.06542
1968	-0.07829
1969	-0.079728
1970	-0.093749
1971	-0.104811
1972	-0.116976
1973	-0.12874
1974	-0.137925
1975	-0.144488
1976	-0.143048
1977	-0.139615
1978	-0.142113
1979	-0.133448
1980	-0.12742
1981	-0.121705
1982	-0.112407
1983	-0.10033
1984	-0.084797
1985	-0.066967
1986	-0.033435
1987	-0.014433
1988	0.005284
1989	0.002775
1990	0.008305
1991	0.019119
1992	0.033367
1993	0.049448
1994	0.065574
1995	0.08923
1996	0.108937
1997	0.153604
1998	0.178214
1999	0.194102
2000	0.217297