# europe_aust110 - Kammersteinhuette - 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_aust110 - Kammersteinhuette - 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: Kammersteinhuette
#	Location:
#	Country: Austria
#	Northernmost_Latitude: 48.12
#	Southernmost_Latitude: 48.12
#	Easternmost_Longitude: 16.25
#	Westernmost_Longitude: 16.25
#	Elevation: 582 m
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# Data_Collection
#	Collection_Name: europe_aust110B
#	Earliest_Year: 1824
#	Most_Recent_Year: 1995
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"4.21460432167"}{"T2":"15.7688445579"}{"M1":"0.0224929659793"}{"M2":"0.570190295288"}
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# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
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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
1824	0.958
1825	0.981
1826	1.047
1827	0.522
1828	0.877
1829	1.336
1830	0.884
1831	1.075
1832	0.884
1833	0.78
1834	0.774
1835	0.703
1836	0.723
1837	0.965
1838	0.64
1839	0.662
1840	1.298
1841	0.966
1842	1.162
1843	1.38
1844	1.269
1845	1.191
1846	1.274
1847	1.114
1848	1.02
1849	0.734
1850	0.887
1851	1.134
1852	0.778
1853	1.111
1854	1.186
1855	1.152
1856	1.121
1857	0.829
1858	0.87
1859	0.998
1860	0.967
1861	1.222
1862	1.151
1863	0.709
1864	1.121
1865	0.768
1866	1.021
1867	1.223
1868	0.848
1869	0.701
1870	1.044
1871	1.387
1872	0.933
1873	0.849
1874	1.056
1875	0.844
1876	1.181
1877	0.787
1878	1.231
1879	1.134
1880	0.919
1881	0.945
1882	1.016
1883	0.994
1884	1.311
1885	1.082
1886	0.938
1887	0.742
1888	0.83
1889	0.658
1890	0.855
1891	0.878
1892	1.033
1893	0.72
1894	0.992
1895	1.042
1896	0.989
1897	1.536
1898	1.506
1899	1.3
1900	1.016
1901	0.617
1902	1.405
1903	1.723
1904	0.838
1905	0.955
1906	1.523
1907	0.922
1908	0.912
1909	0.798
1910	1.234
1911	1.15
1912	1.671
1913	1.423
1914	1.517
1915	0.876
1916	1.524
1917	0.558
1918	0.971
1919	1.168
1920	1.342
1921	0.719
1922	0.33
1923	0.723
1924	0.549
1925	0.866
1926	1.267
1927	0.946
1928	0.813
1929	0.574
1930	0.488
1931	0.796
1932	0.972
1933	0.751
1934	0.499
1935	0.643
1936	1.059
1937	0.864
1938	0.912
1939	1.34
1940	1.378
1941	1.54
1942	1.342
1943	1.354
1944	0.99
1945	0.493
1946	0.622
1947	0.551
1948	0.415
1949	0.732
1950	0.53
1951	0.807
1952	0.738
1953	1.199
1954	1.067
1955	0.941
1956	0.677
1957	0.779
1958	1.112
1959	1.559
1960	1.069
1961	1.001
1962	0.647
1963	0.635
1964	0.776
1965	1.373
1966	1.501
1967	1.025
1968	0.626
1969	1.035
1970	1.269
1971	0.901
1972	1.196
1973	1.496
1974	0.797
1975	1.251
1976	0.576
1977	0.396
1978	0.704
1979	0.595
1980	0.586
1981	0.621
1982	0.981
1983	0.692
1984	0.788
1985	1.093
1986	0.852
1987	0.656
1988	0.657
1989	1.345
1990	1.1
1991	1.116
1992	1.119
1993	0.536
1994	1.285
1995	1.332