# northamerica_canada_cana213 - Chenal des Quatre Fourches Recollection - 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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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3936
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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: northamerica_canada_cana213 - Chenal des Quatre Fourches Recollection - Breitenmoser Tree Ring Chronology Data
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# 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
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# 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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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#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
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#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
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# Site_Information
#	Site_Name: Chenal des Quatre Fourches Recollection
#	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_cana213B
#	Earliest_Year: 1771
#	Most_Recent_Year: 2000
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.68391780522","T2":"15.6105211418","M1":"0.0236969949696","M2":"0.496415922376"}}
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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)
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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
1771	1.05
1772	0.763
1773	1.149
1774	0.742
1775	1.128
1776	0.951
1777	0.69
1778	0.75
1779	0.751
1780	1.06
1781	0.73
1782	0.853
1783	1.232
1784	1.372
1785	1.144
1786	1.214
1787	1.147
1788	0.966
1789	0.86
1790	0.584
1791	1.105
1792	0.764
1793	0.615
1794	0.711
1795	0.385
1796	0.634
1797	0.788
1798	0.773
1799	1.176
1800	1.261
1801	1.016
1802	0.678
1803	1.078
1804	1.423
1805	1.46
1806	1.271
1807	1.001
1808	0.777
1809	0.961
1810	1.331
1811	1.344
1812	1.476
1813	1.463
1814	0.994
1815	0.974
1816	0.629
1817	0.863
1818	1.045
1819	1.104
1820	1.04
1821	0.921
1822	0.866
1823	0.832
1824	0.7
1825	0.734
1826	0.572
1827	0.627
1828	0.592
1829	0.614
1830	0.544
1831	0.743
1832	0.815
1833	0.882
1834	0.727
1835	0.673
1836	1.034
1837	0.955
1838	1.057
1839	1.113
1840	0.997
1841	0.914
1842	1.179
1843	1.114
1844	0.93
1845	0.917
1846	0.411
1847	0.696
1848	0.792
1849	0.957
1850	0.986
1851	1.049
1852	1.137
1853	1.222
1854	0.979
1855	1.056
1856	1.025
1857	0.948
1858	1.082
1859	1.011
1860	0.933
1861	0.891
1862	0.619
1863	0.72
1864	0.919
1865	0.806
1866	1.001
1867	0.884
1868	0.842
1869	0.579
1870	0.796
1871	1.003
1872	0.841
1873	0.915
1874	1.026
1875	1.169
1876	0.899
1877	1.166
1878	0.958
1879	0.672
1880	0.859
1881	1.141
1882	1.336
1883	1.33
1884	1.139
1885	0.844
1886	0.851
1887	0.997
1888	1.018
1889	1.002
1890	1.051
1891	1.054
1892	0.887
1893	0.804
1894	0.715
1895	0.878
1896	0.788
1897	0.796
1898	0.865
1899	0.914
1900	0.955
1901	1.085
1902	1.053
1903	1.099
1904	1.151
1905	1.254
1906	1.148
1907	0.864
1908	0.909
1909	0.72
1910	0.837
1911	1.026
1912	0.763
1913	0.788
1914	0.936
1915	0.783
1916	0.664
1917	0.771
1918	0.945
1919	1.099
1920	0.848
1921	1.433
1922	1.521
1923	1.377
1924	0.981
1925	1.181
1926	1.089
1927	1.176
1928	0.599
1929	0.632
1930	1.012
1931	0.994
1932	1.346
1933	1.296
1934	1.557
1935	1.802
1936	1.607
1937	1.44
1938	0.971
1939	0.758
1940	0.728
1941	0.893
1942	0.638
1943	0.333
1944	0.446
1945	0.231
1946	0.423
1947	0.785
1948	0.842
1949	1.109
1950	0.608
1951	0.673
1952	0.46
1953	0.523
1954	0.687
1955	0.586
1956	1.011
1957	1.048
1958	1.435
1959	1.622
1960	1.561
1961	1.285
1962	1.344
1963	1.695
1964	1.539
1965	1.726
1966	1.533
1967	1.265
1968	1.429
1969	1.226
1970	0.829
1971	1.006
1972	0.956
1973	0.869
1974	1.273
1975	1.36
1976	1.176
1977	1.001
1978	0.89
1979	0.822
1980	0.423
1981	0.607
1982	0.331
1983	0.579
1984	0.587
1985	0.564
1986	0.717
1987	0.704
1988	0.808
1989	0.933
1990	0.731
1991	0.937
1992	0.881
1993	0.874
1994	0.936
1995	0.716
1996	1.003
1997	1.112
1998	0.999
1999	0.933
2000	0.867