# europe_finl047 - Kessi Inari - 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
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# Title
#	Study_Name: europe_finl047 - Kessi Inari - 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: Kessi Inari
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 68.92
#	Southernmost_Latitude: 68.92
#	Easternmost_Longitude: 28.48
#	Westernmost_Longitude: 28.48
#	Elevation: nan m
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# Data_Collection
#	Collection_Name: europe_finl047B
#	Earliest_Year: 1754
#	Most_Recent_Year: 2001
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"6.45585676164"}{"T2":"20.0734307415"}{"M1":"0.021904173936"}{"M2":"0.201335143837"}
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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)
#
##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
1754	1.381
1755	1.641
1756	1.697
1757	1.528
1758	1.37
1759	1.222
1760	1.362
1761	1.442
1762	1.196
1763	1.214
1764	1.212
1765	1.258
1766	1.341
1767	1.036
1768	1.091
1769	0.839
1770	0.817
1771	0.766
1772	0.694
1773	0.718
1774	0.878
1775	0.948
1776	0.967
1777	1.021
1778	0.897
1779	0.933
1780	1.067
1781	0.966
1782	0.937
1783	0.838
1784	0.907
1785	1.08
1786	0.878
1787	0.9
1788	1.116
1789	0.982
1790	0.641
1791	0.607
1792	0.7
1793	0.648
1794	0.54
1795	0.423
1796	0.52
1797	0.746
1798	0.836
1799	1.016
1800	0.787
1801	0.686
1802	0.833
1803	0.867
1804	0.97
1805	1.033
1806	0.323
1807	0.837
1808	0.954
1809	1.095
1810	0.981
1811	0.785
1812	0.615
1813	0.398
1814	0.411
1815	0.427
1816	0.361
1817	0.476
1818	0.58
1819	0.547
1820	0.541
1821	0.59
1822	0.774
1823	1.039
1824	1.122
1825	1.064
1826	1.915
1827	1.354
1828	1.114
1829	1.577
1830	1.297
1831	1.259
1832	1.111
1833	0.92
1834	0.887
1835	0.695
1836	0.714
1837	0.331
1838	0.665
1839	0.455
1840	0.794
1841	0.631
1842	0.631
1843	0.685
1844	0.963
1845	0.902
1846	0.855
1847	0.783
1848	0.932
1849	1.037
1850	0.994
1851	1.153
1852	1.21
1853	1.175
1854	1.512
1855	1.348
1856	1.286
1857	1.235
1858	1.295
1859	1.08
1860	1.187
1861	1.101
1862	0.955
1863	1.086
1864	1.33
1865	1.142
1866	0.836
1867	0.834
1868	0.929
1869	1.147
1870	1.232
1871	1.007
1872	1.089
1873	1.332
1874	0.937
1875	1.001
1876	1.285
1877	1.212
1878	0.946
1879	0.855
1880	0.717
1881	0.749
1882	1.011
1883	1.078
1884	0.85
1885	1.038
1886	1.215
1887	1.108
1888	0.86
1889	1.207
1890	1.438
1891	1.116
1892	0.728
1893	0.746
1894	0.939
1895	0.86
1896	0.927
1897	0.943
1898	1.456
1899	1.026
1900	0.653
1901	0.954
1902	0.667
1903	0.396
1904	0.654
1905	0.623
1906	0.714
1907	0.654
1908	0.897
1909	0.765
1910	0.518
1911	0.709
1912	0.987
1913	0.952
1914	1.19
1915	1.252
1916	1.172
1917	1.047
1918	1.065
1919	1.046
1920	1.195
1921	1.503
1922	1.722
1923	1.782
1924	1.738
1925	1.805
1926	1.144
1927	1.568
1928	0.959
1929	0.786
1930	1.674
1931	1.541
1932	1.526
1933	1.555
1934	1.879
1935	1.462
1936	1.165
1937	1.731
1938	1.215
1939	1.259
1940	0.955
1941	1.354
1942	1.217
1943	0.982
1944	1.063
1945	1.04
1946	0.683
1947	0.765
1948	0.944
1949	0.973
1950	1.07
1951	0.813
1952	0.872
1953	1.147
1954	1.266
1955	1.091
1956	1.143
1957	1.405
1958	1.062
1959	1.129
1960	1.411
1961	0.856
1962	0.959
1963	0.736
1964	1.315
1965	0.79
1966	0.782
1967	0.884
1968	0.79
1969	0.641
1970	0.856
1971	0.698
1972	0.74
1973	0.914
1974	0.651
1975	0.729
1976	0.838
1977	0.724
1978	0.659
1979	0.83
1980	0.734
1981	0.592
1982	0.672
1983	0.772
1984	0.667
1985	0.807
1986	0.663
1987	0.59
1988	0.765
1989	0.784
1990	0.803
1991	0.832
1992	0.907
1993	1.016
1994	0.921
1995	0.809
1996	0.773
1997	0.91
1998	0.871
1999	0.824
2000	0.94
2001	0.943