# europe_fran014 - L'Orgere B - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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
#--------------------
# Title
#	Study_Name: europe_fran014 - L'Orgere B - 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: L'Orgere B
#	Location:
#	Country: France
#	Northernmost_Latitude: 45.22
#	Southernmost_Latitude: 45.22
#	Easternmost_Longitude: 6.68
#	Westernmost_Longitude: 6.68
#	Elevation: 2100 m
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# Data_Collection
#	Collection_Name: europe_fran014B
#	Earliest_Year: 1770
#	Most_Recent_Year: 1973
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"6.79692491983"}{"T2":"16.5549208055"}{"M1":"0.0220722905054"}{"M2":"0.412597796363"}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1770	0.921
1771	0.956
1772	0.989
1773	1.138
1774	1.099
1775	1.09
1776	1.009
1777	1.164
1778	1.18
1779	1.046
1780	1.092
1781	1.448
1782	0.945
1783	1.127
1784	1.011
1785	0.763
1786	0.822
1787	0.852
1788	0.899
1789	0.903
1790	0.9
1791	1.007
1792	0.81
1793	0.733
1794	1.028
1795	1.065
1796	1.154
1797	1.088
1798	1.112
1799	1.19
1800	1.307
1801	1.271
1802	1.099
1803	1.114
1804	0.921
1805	0.927
1806	0.879
1807	1.315
1808	1.087
1809	0.766
1810	0.864
1811	1.096
1812	1.091
1813	0.741
1814	0.973
1815	0.832
1816	0.758
1817	0.739
1818	0.975
1819	1.09
1820	1.062
1821	1.238
1822	1.102
1823	1.231
1824	0.843
1825	0.797
1826	0.918
1827	0.854
1828	0.977
1829	1.046
1830	0.92
1831	1.193
1832	0.878
1833	0.822
1834	1.182
1835	0.889
1836	0.624
1837	0.876
1838	0.869
1839	0.892
1840	0.945
1841	1.074
1842	1.344
1843	1.068
1844	0.805
1845	0.903
1846	1.266
1847	1.047
1848	1.387
1849	0.899
1850	0.883
1851	1.031
1852	0.975
1853	1.173
1854	0.998
1855	0.902
1856	1.094
1857	1.106
1858	0.804
1859	1.306
1860	0.821
1861	0.927
1862	0.913
1863	1.139
1864	1.122
1865	0.807
1866	0.987
1867	1.154
1868	1.173
1869	1.393
1870	0.836
1871	1.096
1872	0.924
1873	0.93
1874	0.879
1875	0.966
1876	1.066
1877	0.925
1878	0.907
1879	0.743
1880	0.464
1881	0.687
1882	0.824
1883	0.905
1884	1.004
1885	0.855
1886	0.703
1887	0.777
1888	0.56
1889	0.918
1890	0.859
1891	0.625
1892	0.852
1893	1.111
1894	0.884
1895	0.808
1896	0.821
1897	0.948
1898	1.229
1899	0.86
1900	0.81
1901	0.643
1902	0.818
1903	1.011
1904	1.109
1905	1.033
1906	0.862
1907	1.043
1908	0.998
1909	0.743
1910	0.888
1911	1.087
1912	0.849
1913	0.725
1914	1.058
1915	0.992
1916	1.016
1917	0.901
1918	0.877
1919	0.939
1920	0.84
1921	0.814
1922	0.784
1923	1.141
1924	0.986
1925	1.065
1926	0.902
1927	1.106
1928	0.954
1929	1.049
1930	0.931
1931	1.028
1932	1.341
1933	1.109
1934	0.856
1935	0.995
1936	1.075
1937	1.157
1938	1.016
1939	1.142
1940	1.064
1941	1.15
1942	0.9
1943	1.128
1944	0.955
1945	0.687
1946	1.017
1947	1.107
1948	0.709
1949	1.082
1950	0.967
1951	1.191
1952	1.365
1953	1.012
1954	0.908
1955	1.087
1956	0.837
1957	0.945
1958	1.393
1959	1.084
1960	1.097
1961	1.065
1962	1.136
1963	0.843
1964	1.102
1965	0.953
1966	1.06
1967	1.163
1968	1.145
1969	1.296
1970	1.182
1971	1.436
1972	0.999
1973	1.149