# europe_turk008 - Zonguldak  Yenice Isletmesi  Bakraz Bolgesi - 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_turk008 - Zonguldak  Yenice Isletmesi  Bakraz Bolgesi - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
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# 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: Zonguldak  Yenice Isletmesi  Bakraz Bolgesi
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 41.2
#	Southernmost_Latitude: 41.2
#	Easternmost_Longitude: 32.3
#	Westernmost_Longitude: 32.3
#	Elevation: 1140 m
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# Data_Collection
#	Collection_Name: europe_turk008B
#	Earliest_Year: 1802
#	Most_Recent_Year: 2003
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"4.25088924672"}{"T2":"14.4048257158"}{"M1":"0.022325248269"}{"M2":"0.569157045709"}
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# Species
#	Species_Name: hartwissiana oak
#	Species_Code: QUHA
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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
1802	0.906
1803	0.982
1804	1.072
1805	1.317
1806	0.933
1807	0.93
1808	1.091
1809	1.253
1810	1.122
1811	1.496
1812	1.246
1813	1.23
1814	1.402
1815	0.985
1816	1.346
1817	1.345
1818	0.895
1819	0.919
1820	0.844
1821	0.907
1822	1.051
1823	0.754
1824	0.856
1825	0.753
1826	0.968
1827	0.76
1828	0.788
1829	1.037
1830	0.865
1831	0.821
1832	0.998
1833	0.93
1834	0.574
1835	0.952
1836	0.694
1837	0.97
1838	1.05
1839	1.07
1840	0.695
1841	1.1
1842	0.781
1843	1.173
1844	0.793
1845	0.722
1846	0.859
1847	0.899
1848	1.011
1849	0.859
1850	1.058
1851	0.778
1852	0.971
1853	0.729
1854	1.03
1855	1.025
1856	1.11
1857	1.158
1858	1.311
1859	1.227
1860	1.128
1861	0.846
1862	0.817
1863	0.927
1864	0.951
1865	0.89
1866	0.802
1867	0.978
1868	0.906
1869	0.968
1870	0.969
1871	1.208
1872	1.222
1873	0.916
1874	1.188
1875	0.739
1876	0.903
1877	1.272
1878	1.065
1879	0.968
1880	1.09
1881	1.322
1882	1.176
1883	1.29
1884	1.229
1885	1.237
1886	1.394
1887	0.782
1888	1.028
1889	1.208
1890	0.867
1891	0.949
1892	0.996
1893	0.866
1894	0.835
1895	0.843
1896	1.063
1897	1.263
1898	1.064
1899	1.118
1900	1.261
1901	1.306
1902	1.091
1903	1.492
1904	0.906
1905	0.982
1906	1.424
1907	1.04
1908	0.89
1909	0.964
1910	1.238
1911	1.095
1912	1.047
1913	0.991
1914	1.139
1915	0.743
1916	0.86
1917	1.003
1918	0.991
1919	0.909
1920	1.017
1921	1.12
1922	1.177
1923	1.136
1924	1.14
1925	0.963
1926	1.04
1927	0.692
1928	0.728
1929	0.797
1930	0.566
1931	0.908
1932	0.857
1933	0.818
1934	0.834
1935	0.715
1936	1.091
1937	0.848
1938	0.712
1939	0.927
1940	0.93
1941	0.72
1942	0.768
1943	0.944
1944	0.921
1945	0.774
1946	0.858
1947	0.558
1948	0.845
1949	0.856
1950	1.007
1951	0.968
1952	0.899
1953	0.843
1954	1.199
1955	0.617
1956	0.915
1957	0.734
1958	1.071
1959	1.125
1960	1.155
1961	1.071
1962	0.903
1963	1.097
1964	1.201
1965	0.905
1966	1.004
1967	0.942
1968	0.795
1969	0.819
1970	1.148
1971	1.181
1972	1.2
1973	1.325
1974	1.0
1975	1.089
1976	0.971
1977	0.887
1978	0.985
1979	1.152
1980	1.002
1981	0.783
1982	0.952
1983	1.02
1984	0.942
1985	1.09
1986	1.164
1987	1.024
1988	1.081
1989	1.04
1990	0.936
1991	1.124
1992	0.864
1993	0.808
1994	0.837
1995	0.834
1996	1.087
1997	1.015
1998	1.209
1999	1.262
2000	1.07
2001	1.076
2002	1.087
2003	0.915