# europe_spai051 - Viella Monte de Vilach - 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_spai051 - Viella Monte de Vilach - 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: Viella Monte de Vilach
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 42.73
#	Southernmost_Latitude: 42.73
#	Easternmost_Longitude: 0.78
#	Westernmost_Longitude: 0.78
#	Elevation: 1920 m
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# Data_Collection
#	Collection_Name: europe_spai051B
#	Earliest_Year: 1813
#	Most_Recent_Year: 1985
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"5.33460365734"}{"T2":"17.4265618853"}{"M1":"0.0222188677843"}{"M2":"0.413577700936"}
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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
1813	0.885
1814	1.064
1815	1.192
1816	0.817
1817	0.739
1818	0.843
1819	0.928
1820	0.874
1821	0.947
1822	0.806
1823	0.775
1824	0.69
1825	1.072
1826	0.814
1827	0.913
1828	0.907
1829	0.864
1830	0.939
1831	0.894
1832	0.742
1833	0.885
1834	1.242
1835	0.978
1836	0.821
1837	1.029
1838	0.997
1839	0.719
1840	0.942
1841	1.221
1842	1.09
1843	1.251
1844	1.065
1845	0.872
1846	1.386
1847	0.964
1848	1.101
1849	1.126
1850	1.049
1851	0.96
1852	1.042
1853	0.77
1854	0.991
1855	0.918
1856	0.983
1857	0.953
1858	1.038
1859	1.341
1860	1.038
1861	1.152
1862	1.043
1863	1.1
1864	1.25
1865	1.032
1866	1.131
1867	1.225
1868	1.054
1869	1.09
1870	0.92
1871	0.84
1872	0.957
1873	1.234
1874	1.151
1875	1.235
1876	0.927
1877	1.163
1878	1.184
1879	0.627
1880	0.765
1881	0.884
1882	1.019
1883	1.045
1884	1.206
1885	1.212
1886	1.08
1887	1.163
1888	1.03
1889	1.098
1890	0.954
1891	0.852
1892	1.028
1893	1.233
1894	0.951
1895	0.877
1896	0.681
1897	1.085
1898	0.879
1899	0.837
1900	0.946
1901	1.178
1902	1.08
1903	1.042
1904	1.283
1905	1.165
1906	0.954
1907	0.838
1908	1.114
1909	0.975
1910	0.885
1911	1.347
1912	0.969
1913	0.935
1914	0.929
1915	0.992
1916	0.92
1917	1.148
1918	0.863
1919	0.844
1920	1.019
1921	0.817
1922	0.639
1923	0.904
1924	1.045
1925	1.101
1926	1.208
1927	1.14
1928	1.002
1929	1.028
1930	1.242
1931	0.907
1932	0.856
1933	1.031
1934	0.901
1935	0.92
1936	1.048
1937	1.031
1938	0.834
1939	0.968
1940	1.097
1941	1.082
1942	0.913
1943	1.011
1944	0.851
1945	0.621
1946	0.724
1947	0.739
1948	0.929
1949	0.826
1950	0.696
1951	0.98
1952	1.014
1953	1.208
1954	0.734
1955	0.828
1956	0.777
1957	0.68
1958	1.199
1959	1.242
1960	1.046
1961	1.331
1962	0.8
1963	0.495
1964	1.114
1965	0.64
1966	0.756
1967	0.825
1968	0.876
1969	1.034
1970	1.106
1971	1.033
1972	0.773
1973	1.28
1974	0.891
1975	0.624
1976	0.888
1977	0.888
1978	1.151
1979	0.955
1980	1.129
1981	1.272
1982	1.114
1983	1.211
1984	0.939
1985	1.219