# northamerica_canada_cana100 - Chenal des Quatre Fourches - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana100 - Chenal des Quatre Fourches - 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: Chenal des Quatre Fourches
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 58.78
#	Southernmost_Latitude: 58.78
#	Easternmost_Longitude: -111.45
#	Westernmost_Longitude: -111.45
#	Elevation: 70 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana100B
#	Earliest_Year: 1856
#	Most_Recent_Year: 1970
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"4.25281183648"}{"T2":"15.884139596"}{"M1":"0.0237141316962"}{"M2":"0.495756092851"}
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# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
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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)
#
##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
1856	1.058
1857	1.153
1858	1.138
1859	1.159
1860	1.094
1861	1.032
1862	0.882
1863	0.858
1864	1.012
1865	0.995
1866	1.143
1867	1.058
1868	0.936
1869	0.828
1870	0.887
1871	1.161
1872	0.966
1873	1.033
1874	1.027
1875	1.156
1876	0.892
1877	1.216
1878	1.05
1879	0.667
1880	0.883
1881	1.236
1882	1.349
1883	1.309
1884	1.121
1885	0.793
1886	0.849
1887	1.035
1888	1.043
1889	1.048
1890	1.068
1891	0.941
1892	0.911
1893	0.801
1894	0.689
1895	0.82
1896	0.751
1897	0.781
1898	0.892
1899	0.953
1900	0.907
1901	1.021
1902	1.091
1903	1.135
1904	1.129
1905	1.215
1906	1.124
1907	0.905
1908	0.993
1909	0.738
1910	0.875
1911	1.099
1912	0.79
1913	0.831
1914	1.006
1915	0.787
1916	0.728
1917	0.77
1918	0.984
1919	1.201
1920	0.935
1921	1.541
1922	1.51
1923	1.429
1924	0.919
1925	1.079
1926	1.06
1927	1.119
1928	0.407
1929	0.515
1930	0.996
1931	0.894
1932	1.307
1933	1.226
1934	1.573
1935	1.821
1936	1.599
1937	1.46
1938	0.956
1939	0.738
1940	0.622
1941	0.823
1942	0.579
1943	0.291
1944	0.371
1945	0.152
1946	0.374
1947	0.661
1948	0.714
1949	0.964
1950	0.424
1951	0.55
1952	0.284
1953	0.395
1954	0.609
1955	0.493
1956	1.013
1957	1.044
1958	1.403
1959	1.605
1960	1.467
1961	1.266
1962	1.308
1963	1.675
1964	1.616
1965	1.741
1966	1.581
1967	1.187
1968	1.467
1969	0.986
1970	0.705