# europe_swit129 - Balmberg SO Trocken - 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_swit129 - Balmberg SO Trocken - 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: Balmberg SO Trocken
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 47.25
#	Southernmost_Latitude: 47.25
#	Easternmost_Longitude: 7.53
#	Westernmost_Longitude: 7.53
#	Elevation: 1220 m
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# Data_Collection
#	Collection_Name: europe_swit129B
#	Earliest_Year: 1827
#	Most_Recent_Year: 1982
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"4.52637152642"}{"T2":"15.9190062263"}{"M1":"0.0221503649493"}{"M2":"0.600466693958"}
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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
1827	0.847
1828	1.051
1829	1.026
1830	0.843
1831	1.143
1832	1.052
1833	0.848
1834	0.993
1835	0.915
1836	0.789
1837	0.832
1838	0.782
1839	0.677
1840	0.957
1841	1.026
1842	1.169
1843	1.145
1844	1.134
1845	1.302
1846	1.262
1847	1.171
1848	1.078
1849	1.244
1850	1.169
1851	1.217
1852	1.272
1853	1.338
1854	1.343
1855	1.042
1856	1.119
1857	1.121
1858	0.867
1859	0.975
1860	1.026
1861	1.106
1862	0.893
1863	1.004
1864	1.058
1865	0.707
1866	0.95
1867	0.9
1868	0.783
1869	1.271
1870	0.779
1871	1.165
1872	1.044
1873	0.997
1874	0.945
1875	1.212
1876	1.042
1877	1.023
1878	1.144
1879	1.167
1880	1.351
1881	1.289
1882	1.394
1883	1.198
1884	1.175
1885	1.106
1886	0.91
1887	0.819
1888	0.656
1889	0.977
1890	0.865
1891	0.856
1892	0.875
1893	0.67
1894	0.791
1895	0.83
1896	0.817
1897	0.979
1898	1.163
1899	0.994
1900	1.08
1901	0.92
1902	1.125
1903	1.27
1904	1.182
1905	1.171
1906	0.945
1907	1.116
1908	0.985
1909	0.783
1910	0.657
1911	0.602
1912	0.606
1913	0.687
1914	0.73
1915	0.709
1916	0.735
1917	0.722
1918	0.747
1919	0.763
1920	0.785
1921	0.828
1922	0.67
1923	0.648
1924	0.753
1925	0.978
1926	0.83
1927	0.899
1928	0.877
1929	1.128
1930	1.371
1931	1.083
1932	1.187
1933	0.945
1934	0.679
1935	1.121
1936	0.865
1937	0.733
1938	0.829
1939	0.948
1940	0.609
1941	0.574
1942	0.929
1943	0.855
1944	0.81
1945	0.39
1946	0.757
1947	0.648
1948	0.617
1949	0.64
1950	0.867
1951	1.335
1952	1.134
1953	1.046
1954	1.189
1955	1.356
1956	0.998
1957	1.401
1958	1.688
1959	1.486
1960	1.149
1961	1.054
1962	1.047
1963	1.226
1964	1.216
1965	1.422
1966	1.569
1967	1.129
1968	1.1
1969	1.192
1970	1.333
1971	1.154
1972	1.233
1973	1.083
1974	1.009
1975	0.984
1976	0.608
1977	1.102
1978	0.784
1979	0.964
1980	0.896
1981	1.005
1982	1.002