# europe_turk009 - Kars  Sarikamis - 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_turk009 - Kars  Sarikamis - 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: Kars  Sarikamis
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 40.33
#	Southernmost_Latitude: 40.33
#	Easternmost_Longitude: 42.58
#	Westernmost_Longitude: 42.58
#	Elevation: 2600 m
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# Data_Collection
#	Collection_Name: europe_turk009B
#	Earliest_Year: 1801
#	Most_Recent_Year: 1992
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"3.22720671237"}{"T2":"14.223629591"}{"M1":"0.02282126758"}{"M2":"0.552715869582"}
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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
1801	0.632
1802	0.831
1803	0.819
1804	0.8
1805	0.956
1806	0.637
1807	0.682
1808	0.912
1809	1.003
1810	1.038
1811	1.326
1812	0.825
1813	0.626
1814	0.865
1815	0.978
1816	0.813
1817	0.968
1818	0.871
1819	0.694
1820	0.77
1821	0.831
1822	0.704
1823	0.945
1824	0.956
1825	1.097
1826	1.289
1827	0.997
1828	1.189
1829	1.1
1830	1.099
1831	1.114
1832	0.939
1833	1.129
1834	1.085
1835	1.212
1836	0.994
1837	1.225
1838	0.826
1839	1.007
1840	0.971
1841	1.183
1842	1.009
1843	1.067
1844	0.926
1845	0.808
1846	0.992
1847	1.061
1848	1.006
1849	1.243
1850	1.105
1851	0.851
1852	0.881
1853	1.063
1854	0.994
1855	1.227
1856	0.804
1857	0.488
1858	0.866
1859	0.996
1860	0.861
1861	0.829
1862	0.772
1863	0.868
1864	0.841
1865	0.948
1866	1.176
1867	0.851
1868	0.839
1869	0.894
1870	0.825
1871	1.101
1872	1.009
1873	0.954
1874	1.066
1875	1.129
1876	0.932
1877	1.024
1878	1.099
1879	1.034
1880	0.906
1881	1.096
1882	0.701
1883	0.866
1884	1.06
1885	1.336
1886	1.091
1887	1.0
1888	1.17
1889	1.206
1890	0.9
1891	1.024
1892	0.807
1893	0.8
1894	0.815
1895	1.055
1896	1.265
1897	1.11
1898	1.082
1899	0.934
1900	0.958
1901	1.156
1902	0.972
1903	1.096
1904	1.057
1905	0.933
1906	1.08
1907	1.187
1908	0.968
1909	0.977
1910	1.36
1911	1.108
1912	1.125
1913	1.076
1914	0.984
1915	1.037
1916	1.229
1917	1.223
1918	1.007
1919	1.312
1920	1.178
1921	1.082
1922	1.035
1923	0.96
1924	0.937
1925	0.957
1926	1.028
1927	1.251
1928	1.331
1929	1.379
1930	1.513
1931	1.243
1932	0.758
1933	1.075
1934	0.866
1935	0.908
1936	1.041
1937	1.161
1938	0.806
1939	0.734
1940	1.186
1941	0.768
1942	0.835
1943	0.923
1944	0.854
1945	0.803
1946	0.662
1947	0.833
1948	0.761
1949	0.689
1950	1.051
1951	1.119
1952	0.961
1953	0.909
1954	0.791
1955	0.599
1956	0.376
1957	0.665
1958	0.723
1959	0.851
1960	0.899
1961	0.737
1962	0.778
1963	0.857
1964	0.861
1965	0.988
1966	0.7
1967	0.923
1968	0.931
1969	0.709
1970	0.797
1971	0.771
1972	0.689
1973	0.71
1974	0.569
1975	0.919
1976	1.044
1977	0.862
1978	0.783
1979	0.791
1980	0.821
1981	1.226
1982	1.047
1983	1.022
1984	1.05
1985	0.937
1986	1.054
1987	1.003
1988	1.093
1989	1.357
1990	1.117
1991	1.109
1992	1.467