# northamerica_canada_cana264 - The Pines at Quetico - 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/6169
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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_cana264 - The Pines at Quetico - 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
#--------------------
# 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:
#--------------------
#	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: The Pines at Quetico
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 48.65
#	Southernmost_Latitude: 48.65
#	Easternmost_Longitude: -91.22
#	Westernmost_Longitude: -91.22
#	Elevation: 411 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana264B
#	Earliest_Year: 1772
#	Most_Recent_Year: 2003
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.67149400901","T2":"17.4190109062","M1":"0.0224445944843","M2":"0.356962787193"}}
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# Species
#	Species_Name: red pine
#	Species_Code: PIRE
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# Chronology:
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# Variables
#
# 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
1772	1.306
1773	1.387
1774	1.451
1775	1.509
1776	1.338
1777	1.321
1778	1.426
1779	1.292
1780	1.214
1781	1.167
1782	1.21
1783	1.087
1784	1.002
1785	0.946
1786	1.036
1787	1.026
1788	0.857
1789	0.681
1790	0.722
1791	0.642
1792	0.677
1793	0.74
1794	0.547
1795	0.535
1796	0.686
1797	0.566
1798	0.639
1799	0.501
1800	0.579
1801	0.659
1802	0.758
1803	0.461
1804	0.428
1805	0.582
1806	0.54
1807	0.71
1808	0.895
1809	0.809
1810	0.906
1811	0.842
1812	0.857
1813	1.011
1814	1.086
1815	1.202
1816	1.055
1817	1.039
1818	1.08
1819	1.22
1820	1.013
1821	0.781
1822	0.999
1823	0.883
1824	0.733
1825	0.954
1826	0.852
1827	1.022
1828	1.179
1829	0.928
1830	0.955
1831	0.95
1832	1.125
1833	1.36
1834	1.341
1835	1.162
1836	1.063
1837	0.952
1838	0.949
1839	0.765
1840	0.807
1841	0.788
1842	0.881
1843	0.791
1844	0.754
1845	0.868
1846	0.987
1847	0.985
1848	1.17
1849	1.024
1850	1.086
1851	1.123
1852	0.996
1853	1.14
1854	1.03
1855	1.038
1856	1.105
1857	1.007
1858	1.143
1859	1.23
1860	1.085
1861	1.013
1862	0.907
1863	0.985
1864	0.935
1865	1.048
1866	1.072
1867	1.145
1868	1.096
1869	1.096
1870	1.164
1871	1.055
1872	1.155
1873	1.336
1874	1.316
1875	1.304
1876	1.341
1877	1.486
1878	1.294
1879	0.994
1880	0.784
1881	0.736
1882	0.83
1883	0.938
1884	0.883
1885	0.963
1886	0.977
1887	1.103
1888	1.06
1889	1.235
1890	1.082
1891	1.178
1892	1.357
1893	1.089
1894	0.943
1895	0.887
1896	0.814
1897	0.711
1898	0.747
1899	0.913
1900	1.05
1901	0.993
1902	0.986
1903	0.93
1904	0.971
1905	1.088
1906	1.028
1907	0.921
1908	1.07
1909	1.001
1910	0.7
1911	0.843
1912	0.871
1913	0.911
1914	0.974
1915	1.196
1916	1.152
1917	1.161
1918	1.117
1919	0.825
1920	0.992
1921	0.908
1922	1.146
1923	0.942
1924	0.858
1925	1.058
1926	1.143
1927	0.943
1928	1.088
1929	0.979
1930	1.112
1931	1.178
1932	1.305
1933	1.02
1934	1.173
1935	1.244
1936	0.981
1937	1.1
1938	1.113
1939	1.182
1940	0.867
1941	0.871
1942	0.966
1943	0.734
1944	0.9
1945	0.824
1946	0.654
1947	0.631
1948	0.548
1949	0.747
1950	0.766
1951	0.906
1952	0.996
1953	1.064
1954	0.94
1955	0.992
1956	0.881
1957	0.915
1958	0.934
1959	1.149
1960	1.031
1961	1.035
1962	1.043
1963	1.043
1964	1.151
1965	1.3
1966	1.064
1967	1.093
1968	0.94
1969	1.048
1970	0.917
1971	0.93
1972	0.924
1973	0.935
1974	0.873
1975	0.9
1976	0.843
1977	0.758
1978	0.953
1979	0.984
1980	0.876
1981	1.027
1982	0.896
1983	0.841
1984	1.096
1985	1.058
1986	0.971
1987	0.826
1988	0.75
1989	0.794
1990	0.909
1991	0.771
1992	0.796
1993	1.059
1994	0.913
1995	0.729
1996	0.733
1997	0.716
1998	0.663
1999	0.908
2000	0.975
2001	0.944
2002	0.951
2003	1.036