Ã¯Â»Â¿# Northern European 2000 Year Summer Temperature Reconstruction
#-----------------------------------------------------------------------
#               World Data Center for Paleoclimatology, Boulder
#                                  and
#                     NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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
#
#
#
# Online_Resource: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_study_id:16975
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/europe/northerneurope2014temperature.txt
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Climate Reconstructions
# --------------------
# Contribution_date
#	Date: 2014
# --------------------
# Title 
#	Study_Name: Northern European 2000 Year Summer Temperature Reconstruction

# --------------------
# Investigators
#	Investigators:  Esper, J.; DÃÂ¼thorn, E.; Krusic, P.J.; Timonen, M.; BÃÂ¼ntgen, U.
# --------------------
# Description_and_Notes
# 	Description: Summer temperature reconstruction based on integrated tree-ring maximum density (MXD) data sets of Nscan (Esper et al. 2012) and TornetrÃÂ¤sk (Schweingruber et al. 1988)
#	
# --------------------
# Publication
#	Authors: Jan Esper, Elisabeth DÃÂ¼thorn, Paul J. Krusic, Mauri Timonen, and Ulf BÃÂ¼ntgen
#	Published_Date_or_Year: 2014-07-15
#	Published_Title: Northern European summer temperature variations over the Common Era from integrated tree-ring density records
#	Journal_Name: Journal of Quaternary Science
#	Volume: 29		
#	Edition: 
#	Issue: 5
#	Pages: 487-494
#	DOI: 10.1002/jqs.2726
#	Online_Resource: 
#	Full_Citation:  
#	Abstract: Tree-ring chronologies of maximum latewood density are most suitable to reconstruct annually resolved summer temperature variations of the late Holocene. The two longest such chronologies have been developed in northern Europe stretching back to the 2nd century BC, and the 5th century AD. We show where similarities between the two chronologies exist, and combine portions of both into a new summer temperature reconstruction for the Common Era. To minimize the transfer of potential biases, we assess the contribution of the candidate reconstructions' measurements, and exclude data (i) from exceptionally young and old trees, and (ii) produced by different laboratory technologies. Our new composite reconstruction reveals warmer conditions during Roman, Medieval and recent times, separated by prolonged cooling during the Migration period and Little Ice Age. Twentieth century warmth, as indicated in one of the existing density records, is reduced in the new reconstruction, also affecting the overall, millennial-scale, cooling trend over the late Holocene (-0.30C per 1000 years). Due to the reduced biological memory, typical for tree-ring density measurements, the new reconstruction is most suitable for evaluating the rate and speed of abrupt summer cooling following large volcanic eruptions.
# --------------------
#	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.
#------------------
# Funding_Agency
#	Funding_Agency_Name: Mainz Geocycles Excellence Cluster
#	Grant:
# --------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: Northern Europe
#	Location: Europe
#	Country: 
#	Northernmost_Latitude: 70.00
#	Southernmost_Latitude: 50.00
#	Easternmost_Longitude: 30.00
#	Westernmost_Longitude: 5.00
#	Elevation:
# --------------------
# Data_Collection
#	Collection_Name: 14NEur01
#	Earliest_Year: -17
#	Most_Recent_Year: 2006
#	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,,,degrees C, Jun-Aug, Climate Reconstructions, , ,N
# --------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
#
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1600	0.22210436
1601	-2.063499476
1602	0.049355233
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1605	-1.438944939
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1617	0.261969544
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1621	0.1290856
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1624	0.952966052
1625	-1.000427924
1626	1.617385772
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1628	1.285175912
1629	1.736981321
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1631	1.178868757
1632	-1.797731588
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1634	0.899812474
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1640	1.471213433
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1649	0.939677658
1650	0.55431422
1651	0.487872248
1652	0.434718671
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1654	0.062643628
1655	0.979542841
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1658	1.33832949
1659	0.620756192
1660	1.484501828
1661	0.687198164
1662	-0.309431415
1663	-1.120023474
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1665	1.21873394
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1669	-1.691424433
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1704	-0.375873387
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1711	1.032696418
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1714	0.541025826
1715	1.09913839
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1726	0.288546332
1727	0.315123121
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1762	0.328411515
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1793	0.089220416
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1800	-1.279484206
1801	0.408141882
1802	-0.960562741
1803	-0.123393894
1804	1.245310729
1805	-0.349296599
1806	-0.415738571
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1808	0.315123121
1809	-0.53533412
1810	-0.641641275
1811	0.075932022
1812	-2.329267364
1813	-0.189835866
1814	-0.32271981
1815	-0.402450176
1816	-0.189835866
1817	-0.362584993
1818	-0.056951922
1819	1.325041095
1820	0.408141882
1821	-1.824308377
1822	-0.256277838
1823	0.620756192
1824	-0.282854627
1825	-1.399079756
1826	1.564232194
1827	0.036066839
1828	0.381565093
1829	-0.229701049
1830	-0.482180543
1831	2.401401041
1832	-0.389161782
1833	-0.708083247
1834	-0.216412655
1835	-0.561910909
1836	-1.093446685
1837	-1.027004713
1838	-0.787813614
1839	-1.425656545
1840	-0.296143021
1841	-0.801102008
1842	0.55431422
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1844	1.152291968
1845	0.873235686
1846	0.580891009
1847	1.537655405
1848	0.062643628
1849	-0.309431415
1850	1.258599123
1851	-0.256277838
1852	1.617385772
1853	1.232022334
1854	2.122344759
1855	1.085849996
1856	-1.306060995
1857	0.461295459
1858	1.311752701
1859	-1.213042234
1860	-0.615064487
1861	0.567602615
1862	-1.173177051
1863	-0.628352881
1864	-1.372502967
1865	-0.043663528
1866	-0.694794853
1867	-1.279484206
1868	0.580891009
1869	-1.306060995
1870	-0.070240316
1871	-1.598405672
1872	0.089220416
1873	0.780216925
1874	-1.19975384
1875	0.301834727
1876	0.541025826
1877	-1.784443193
1878	0.062643628
1879	0.833370503
1880	-0.774525219
1881	-1.890750349
1882	0.67390977
1883	1.590808983
1884	-0.20312426
1885	-1.718001221
1886	-0.030375133
1887	-1.040293107
1888	-1.372502967
1889	-0.216412655
1890	-0.056951922
1891	-1.226330629
1892	-2.581746857
1893	-1.31934939
1894	0.926389263
1895	1.09913839
1896	0.408141882
1897	0.833370503
1898	-0.017086739
1899	-1.904038743
1900	-1.385791361
1901	1.032696418
1902	-3.020263872
1903	-2.07678787
1904	-3.07341745
1905	-2.315978969
1906	-1.465521728
1907	-1.518675305
1908	-0.601776092
1909	-2.023634292
1910	-0.708083247
1911	-1.359214573
1912	-0.561910909
1913	-0.282854627
1914	-0.136682288
1915	-0.508757331
1916	-0.242989444
1917	0.421430276
1918	1.378194673
1919	0.089220416
1920	1.085849996
1921	0.394853487
1922	1.404771462
1923	-1.704712827
1924	1.391483067
1925	1.351617884
1926	1.590808983
1927	1.21873394
1928	-0.694794853
1929	-0.282854627
1930	1.76355811
1931	-1.013716318
1932	-0.083528711
1933	0.913100869
1934	1.670539349
1935	0.381565093
1936	0.541025826
1937	3.105685944
1938	1.776846505
1939	1.617385772
1940	1.00611963
1941	0.88652408
1942	1.019408024
1943	0.926389263
1944	0.288546332
1945	1.152291968
1946	0.966254446
1947	1.830000082
1948	-0.149970683
1949	-1.19975384
1950	0.979542841
1951	-0.668218064
1952	-0.801102008
1953	0.541025826
1954	-0.003798344
1955	0.700486559
1956	-0.242989444
1957	0.102508811
1958	-0.65492967
1959	0.926389263
1960	1.391483067
1961	-0.030375133
1962	-1.837596771
1963	-0.960562741
1964	-0.98713953
1965	-2.488728096
1966	-0.482180543
1967	-0.86754398
1968	-1.585117277
1969	0.952966052
1970	0.647332981
1971	-0.840967191
1972	0.753640136
1973	0.607467798
1974	-0.242989444
1975	-0.65492967
1976	0.713774953
1977	-0.787813614
1978	-0.176547472
1979	0.820082108
1980	1.285175912
1981	-0.98713953
1982	-1.027004713
1983	-0.375873387
1984	-1.890750349
1985	-1.120023474
1986	-0.176547472
1987	-1.757866405
1988	-0.362584993
1989	0.168950783
1990	0.022778444
1991	-0.442315359
1992	-0.840967191
1993	-1.027004713
1994	0.780216925
1995	-0.721371642
1996	-0.242989444
1997	1.059273207
1998	-1.08015829
1999	-0.375873387
2000	0.275257938
2001	-0.601776092
2002	1.311752701
2003	1.630674166
2004	0.806793714
2005	0.195527572
2006	1.76355811