# europe_swed011 - Gallejour Glommerstark - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# NOTE: Please cite Publication, and Online_Resource and date accessed 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:https://www.ncdc.noaa.gov/paleo/study/4419
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
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# Title
#	Study_Name: europe_swed011 - Gallejour Glommerstark - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
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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
#	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: Swiss National Science Foundation
#	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: Gallejour Glommerstark
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 65.17
#	Southernmost_Latitude: 65.17
#	Easternmost_Longitude: 19.47
#	Westernmost_Longitude: 19.47
#	Elevation: 480 m
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# Data_Collection
#	Collection_Name: europe_swed011B
#	Earliest_Year: 1711
#	Most_Recent_Year: 1978
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"7.24499843519","T2":"19.6045301889","M1":"0.0223666816679","M2":"0.218029282255"}}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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# Chronology:
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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
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1711	0.871
1712	0.729
1713	0.837
1714	0.727
1715	0.908
1716	1.02
1717	1.052
1718	0.915
1719	0.899
1720	0.984
1721	0.805
1722	0.892
1723	1.074
1724	1.132
1725	1.042
1726	0.934
1727	1.0
1728	0.759
1729	1.098
1730	0.869
1731	0.732
1732	1.019
1733	0.743
1734	0.543
1735	0.893
1736	0.968
1737	1.113
1738	1.496
1739	1.272
1740	1.484
1741	0.744
1742	1.247
1743	1.384
1744	0.902
1745	1.15
1746	0.968
1747	0.945
1748	0.951
1749	0.908
1750	0.66
1751	1.001
1752	0.898
1753	0.912
1754	1.163
1755	1.46
1756	1.092
1757	1.416
1758	1.205
1759	1.496
1760	1.409
1761	0.97
1762	1.03
1763	1.109
1764	0.679
1765	0.914
1766	0.836
1767	0.738
1768	0.772
1769	0.747
1770	0.693
1771	1.064
1772	1.017
1773	1.006
1774	0.999
1775	1.053
1776	1.08
1777	1.318
1778	1.357
1779	0.94
1780	1.022
1781	1.219
1782	0.962
1783	1.129
1784	0.885
1785	1.101
1786	0.653
1787	0.418
1788	0.627
1789	0.595
1790	0.164
1791	0.501
1792	0.435
1793	0.575
1794	0.509
1795	0.802
1796	0.722
1797	0.619
1798	0.918
1799	0.968
1800	0.752
1801	1.232
1802	0.959
1803	0.761
1804	1.029
1805	0.573
1806	0.597
1807	0.885
1808	1.131
1809	0.955
1810	0.828
1811	0.874
1812	0.53
1813	0.619
1814	0.884
1815	0.671
1816	1.061
1817	0.907
1818	1.207
1819	1.238
1820	0.743
1821	0.305
1822	0.799
1823	0.827
1824	0.912
1825	1.027
1826	1.68
1827	1.343
1828	1.449
1829	1.605
1830	1.053
1831	1.516
1832	0.755
1833	0.942
1834	0.643
1835	0.829
1836	0.771
1837	0.682
1838	0.942
1839	0.782
1840	0.697
1841	0.95
1842	0.886
1843	0.958
1844	0.732
1845	0.967
1846	0.947
1847	0.903
1848	0.847
1849	0.864
1850	0.899
1851	0.67
1852	0.986
1853	1.043
1854	1.259
1855	1.068
1856	0.788
1857	0.853
1858	0.923
1859	0.577
1860	0.997
1861	1.189
1862	0.916
1863	1.173
1864	1.047
1865	0.759
1866	1.082
1867	0.892
1868	1.171
1869	0.993
1870	1.161
1871	0.819
1872	1.078
1873	1.027
1874	0.726
1875	1.073
1876	1.093
1877	0.971
1878	1.055
1879	1.054
1880	0.656
1881	0.865
1882	0.867
1883	1.153
1884	1.012
1885	0.877
1886	0.981
1887	0.713
1888	1.008
1889	1.245
1890	1.034
1891	0.912
1892	0.834
1893	1.14
1894	0.94
1895	1.193
1896	1.262
1897	1.333
1898	1.464
1899	1.486
1900	1.675
1901	1.709
1902	0.734
1903	1.229
1904	1.032
1905	1.377
1906	1.331
1907	1.223
1908	1.319
1909	1.246
1910	1.193
1911	1.429
1912	1.589
1913	1.509
1914	1.716
1915	1.373
1916	1.541
1917	1.375
1918	0.893
1919	1.354
1920	1.005
1921	0.945
1922	1.254
1923	0.824
1924	0.897
1925	0.937
1926	1.103
1927	1.17
1928	0.423
1929	1.142
1930	1.199
1931	0.492
1932	1.053
1933	1.143
1934	1.057
1935	0.77
1936	1.331
1937	1.127
1938	0.925
1939	1.03
1940	1.439
1941	1.31
1942	0.964
1943	0.997
1944	0.849
1945	0.685
1946	0.755
1947	1.003
1948	0.555
1949	0.672
1950	0.873
1951	0.503
1952	0.797
1953	1.105
1954	1.168
1955	1.023
1956	0.984
1957	0.693
1958	1.032
1959	0.844
1960	1.009
1961	0.661
1962	0.732
1963	0.963
1964	0.795
1965	0.939
1966	1.268
1967	1.054
1968	1.056
1969	1.214
1970	1.096
1971	0.951
1972	0.939
1973	0.77
1974	0.769
1975	0.491
1976	0.868
1977	0.826
1978	1.105