# europe_gree006 - Chalkidiki  Arnaia  Barbara - 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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# Original_Source_URL:
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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_gree006 - Chalkidiki  Arnaia  Barbara - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# 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 Vaganov–Shashkin 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 4–6 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 model’s 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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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
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# Site_Information
#	Site_Name: Chalkidiki  Arnaia  Barbara
#	Location:
#	Country: Greece
#	Northernmost_Latitude: 40.48
#	Southernmost_Latitude: 40.48
#	Easternmost_Longitude: 23.58
#	Westernmost_Longitude: 23.58
#	Elevation: 600 m
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# Data_Collection
#	Collection_Name: europe_gree006B
#	Earliest_Year: 1785
#	Most_Recent_Year: 1979
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"5.63989157916"}{"T2":"17.9869433798"}{"M1":"0.0226231798042"}{"M2":"0.396144688868"}
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# Species
#	Species_Name: Hungarian oak
#	Species_Code: QUFR
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# Chronology:
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# Variables
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# 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)
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##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
1785	1.248
1786	1.32
1787	1.157
1788	1.166
1789	1.249
1790	1.317
1791	1.514
1792	1.253
1793	1.126
1794	0.919
1795	1.216
1796	1.245
1797	1.046
1798	1.263
1799	1.33
1800	0.939
1801	0.659
1802	0.719
1803	0.956
1804	1.171
1805	0.992
1806	0.923
1807	1.042
1808	1.187
1809	1.089
1810	1.239
1811	1.279
1812	1.496
1813	1.615
1814	1.598
1815	1.351
1816	1.487
1817	1.3
1818	1.152
1819	1.118
1820	0.977
1821	1.021
1822	0.945
1823	0.594
1824	0.728
1825	0.611
1826	0.588
1827	0.78
1828	0.589
1829	0.638
1830	0.613
1831	0.623
1832	0.547
1833	0.573
1834	0.567
1835	0.645
1836	0.604
1837	0.783
1838	0.668
1839	0.76
1840	0.631
1841	0.74
1842	0.691
1843	0.779
1844	0.89
1845	0.904
1846	0.702
1847	0.767
1848	0.699
1849	0.908
1850	1.03
1851	0.965
1852	0.884
1853	1.008
1854	1.254
1855	0.923
1856	0.901
1857	0.877
1858	0.99
1859	0.897
1860	0.853
1861	0.626
1862	0.843
1863	0.713
1864	0.808
1865	0.9
1866	1.059
1867	0.997
1868	0.773
1869	1.192
1870	1.21
1871	1.055
1872	1.157
1873	1.35
1874	1.086
1875	0.942
1876	1.036
1877	0.997
1878	0.895
1879	0.877
1880	0.907
1881	1.031
1882	1.007
1883	0.967
1884	1.067
1885	1.106
1886	0.938
1887	0.984
1888	1.074
1889	0.859
1890	0.716
1891	0.794
1892	0.796
1893	0.8
1894	0.785
1895	0.833
1896	0.779
1897	0.921
1898	0.837
1899	0.774
1900	0.821
1901	0.932
1902	0.894
1903	1.032
1904	0.909
1905	1.01
1906	0.931
1907	0.917
1908	0.828
1909	0.794
1910	0.896
1911	1.063
1912	0.902
1913	0.866
1914	0.627
1915	0.673
1916	0.694
1917	0.645
1918	0.673
1919	0.747
1920	0.787
1921	0.852
1922	0.717
1923	0.788
1924	0.842
1925	0.867
1926	0.854
1927	0.832
1928	0.918
1929	0.964
1930	0.983
1931	1.619
1932	1.772
1933	1.542
1934	1.516
1935	1.209
1936	1.551
1937	1.801
1938	1.283
1939	1.231
1940	1.781
1941	1.568
1942	1.204
1943	1.235
1944	1.073
1945	1.089
1946	1.142
1947	0.901
1948	1.281
1949	1.118
1950	1.146
1951	1.088
1952	1.134
1953	1.033
1954	1.159
1955	0.975
1956	1.385
1957	1.059
1958	1.219
1959	1.118
1960	1.036
1961	1.03
1962	0.915
1963	1.062
1964	1.091
1965	1.01
1966	0.995
1967	1.098
1968	0.918
1969	0.914
1970	0.863
1971	1.272
1972	1.063
1973	1.109
1974	0.962
1975	1.051
1976	0.997
1977	1.13
1978	1.147
1979	1.054