# europe_swit181 - Davos GR Dischma-Fluela - 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_swit181 - Davos GR Dischma-Fluela - 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: Davos GR Dischma-Fluela
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 46.78
#	Southernmost_Latitude: 46.78
#	Easternmost_Longitude: 9.88
#	Westernmost_Longitude: 9.88
#	Elevation: 1800 m
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# Data_Collection
#	Collection_Name: europe_swit181B
#	Earliest_Year: 1799
#	Most_Recent_Year: 1999
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"5.08912498214"}{"T2":"16.8277880109"}{"M1":"0.0226234436709"}{"M2":"0.401782471747"}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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
1799	0.866
1800	0.859
1801	0.877
1802	1.045
1803	0.854
1804	1.005
1805	0.694
1806	0.936
1807	0.879
1808	0.692
1809	0.971
1810	0.83
1811	1.142
1812	0.819
1813	0.587
1814	0.775
1815	0.632
1816	0.536
1817	0.917
1818	0.519
1819	0.636
1820	0.517
1821	0.389
1822	1.033
1823	0.87
1824	1.057
1825	0.987
1826	0.987
1827	0.935
1828	1.134
1829	1.136
1830	1.113
1831	1.107
1832	1.05
1833	1.168
1834	1.385
1835	1.243
1836	0.97
1837	0.869
1838	0.737
1839	0.926
1840	0.86
1841	1.058
1842	1.228
1843	0.782
1844	1.158
1845	1.067
1846	1.271
1847	1.02
1848	1.115
1849	1.072
1850	0.912
1851	0.879
1852	1.165
1853	1.092
1854	0.817
1855	1.075
1856	1.01
1857	1.019
1858	0.732
1859	0.761
1860	0.539
1861	0.743
1862	0.67
1863	0.985
1864	0.896
1865	0.858
1866	0.891
1867	1.034
1868	0.903
1869	0.838
1870	0.929
1871	0.732
1872	0.805
1873	1.082
1874	1.09
1875	0.943
1876	0.921
1877	0.99
1878	0.819
1879	0.937
1880	0.907
1881	1.323
1882	1.248
1883	1.168
1884	1.091
1885	1.318
1886	1.094
1887	1.158
1888	0.862
1889	1.149
1890	0.76
1891	0.748
1892	1.065
1893	0.971
1894	1.142
1895	1.232
1896	0.821
1897	1.016
1898	0.796
1899	0.848
1900	0.974
1901	1.111
1902	0.901
1903	0.995
1904	1.335
1905	1.345
1906	1.088
1907	1.076
1908	1.322
1909	0.776
1910	0.941
1911	1.083
1912	1.026
1913	0.714
1914	1.011
1915	0.846
1916	0.859
1917	1.079
1918	0.675
1919	0.997
1920	0.894
1921	1.354
1922	1.207
1923	1.362
1924	1.354
1925	1.095
1926	0.781
1927	0.908
1928	0.94
1929	0.891
1930	0.846
1931	1.059
1932	0.858
1933	0.712
1934	0.697
1935	1.019
1936	0.962
1937	1.058
1938	0.99
1939	1.076
1940	1.05
1941	1.166
1942	1.127
1943	0.987
1944	1.037
1945	1.11
1946	1.446
1947	1.418
1948	0.656
1949	1.191
1950	1.014
1951	1.096
1952	1.331
1953	0.919
1954	1.03
1955	1.168
1956	1.02
1957	1.026
1958	1.165
1959	1.204
1960	1.143
1961	1.173
1962	0.837
1963	0.775
1964	0.825
1965	0.714
1966	0.728
1967	0.861
1968	0.836
1969	0.913
1970	0.855
1971	0.836
1972	0.891
1973	0.959
1974	0.685
1975	0.444
1976	0.842
1977	0.818
1978	0.736
1979	0.978
1980	0.755
1981	0.761
1982	1.148
1983	1.219
1984	1.099
1985	1.277
1986	1.229
1987	1.044
1988	1.368
1989	1.191
1990	1.281
1991	1.11
1992	0.991
1993	1.08
1994	1.205
1995	1.224
1996	0.894
1997	0.866
1998	1.035
1999	1.083