# northamerica_canada_cana222 - Boundary Bog - 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_cana222 - Boundary Bog - 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: Boundary Bog
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 53.95
#	Southernmost_Latitude: 53.95
#	Easternmost_Longitude: -106.33
#	Westernmost_Longitude: -106.33
#	Elevation: 611 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana222B
#	Earliest_Year: 1828
#	Most_Recent_Year: 1997
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"3.18292034209"}{"T2":"14.5520902287"}{"M1":"0.0233068221526"}{"M2":"0.522516728337"}
#--------------------
# Species
#	Species_Name: black spruce
#	Species_Code: PCMA
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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
1828	0.671
1829	0.964
1830	0.653
1831	0.776
1832	0.772
1833	0.617
1834	0.83
1835	0.742
1836	0.77
1837	0.664
1838	0.708
1839	0.48
1840	0.473
1841	0.64
1842	0.651
1843	0.726
1844	0.601
1845	0.62
1846	0.701
1847	0.756
1848	0.809
1849	0.783
1850	0.723
1851	0.816
1852	0.833
1853	0.723
1854	0.709
1855	0.899
1856	0.839
1857	0.967
1858	1.145
1859	1.299
1860	1.139
1861	1.199
1862	0.977
1863	1.077
1864	1.002
1865	1.0
1866	0.993
1867	0.847
1868	0.828
1869	0.532
1870	0.699
1871	0.865
1872	0.801
1873	0.866
1874	0.813
1875	0.895
1876	0.819
1877	0.869
1878	0.927
1879	0.958
1880	1.109
1881	1.388
1882	1.212
1883	1.15
1884	0.785
1885	0.977
1886	0.642
1887	0.818
1888	0.784
1889	0.73
1890	0.677
1891	0.794
1892	0.909
1893	0.84
1894	0.856
1895	0.977
1896	0.865
1897	0.975
1898	1.401
1899	1.382
1900	1.484
1901	1.538
1902	1.651
1903	1.703
1904	1.733
1905	1.249
1906	1.335
1907	0.901
1908	1.104
1909	1.112
1910	1.209
1911	0.88
1912	0.837
1913	0.9
1914	0.964
1915	0.533
1916	0.895
1917	0.841
1918	0.783
1919	0.69
1920	0.788
1921	0.808
1922	0.966
1923	1.151
1924	1.204
1925	1.072
1926	0.952
1927	0.88
1928	0.801
1929	0.78
1930	0.978
1931	0.785
1932	0.901
1933	1.168
1934	1.322
1935	1.278
1936	0.989
1937	0.919
1938	0.9
1939	0.802
1940	0.744
1941	0.821
1942	0.928
1943	1.221
1944	1.258
1945	1.474
1946	1.416
1947	1.469
1948	1.086
1949	1.084
1950	1.099
1951	1.115
1952	1.285
1953	1.736
1954	1.277
1955	1.496
1956	1.384
1957	1.048
1958	1.236
1959	1.266
1960	1.109
1961	0.805
1962	0.818
1963	0.689
1964	0.634
1965	1.059
1966	0.998
1967	1.099
1968	1.145
1969	0.872
1970	0.688
1971	0.814
1972	0.717
1973	0.98
1974	1.189
1975	1.374
1976	1.449
1977	1.08
1978	1.072
1979	0.928
1980	0.678
1981	0.839
1982	0.552
1983	0.79
1984	0.598
1985	0.58
1986	0.734
1987	0.663
1988	0.484
1989	0.799
1990	0.664
1991	0.675
1992	0.596
1993	0.561
1994	0.806
1995	0.603
1996	0.595
1997	0.609