# northamerica_canada_cana055 - Capotigaman - 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/4366
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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_cana055 - Capotigaman - 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: Capotigaman
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 50.17
#	Southernmost_Latitude: 50.17
#	Easternmost_Longitude: -68.17
#	Westernmost_Longitude: -68.17
#	Elevation: 1000 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana055B
#	Earliest_Year: 1795
#	Most_Recent_Year: 1988
#	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":"4.63743808128","T2":"17.2889084837","M1":"0.0227962259165","M2":"0.442365000634"}}
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# Species
#	Species_Name: black spruce
#	Species_Code: PCMA
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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
1795	0.616
1796	0.613
1797	0.671
1798	0.802
1799	0.69
1800	0.798
1801	0.898
1802	0.685
1803	0.822
1804	1.06
1805	0.918
1806	0.897
1807	0.97
1808	0.832
1809	0.783
1810	0.899
1811	0.843
1812	0.764
1813	1.126
1814	0.785
1815	0.949
1816	0.947
1817	0.735
1818	0.993
1819	0.827
1820	1.0
1821	1.153
1822	1.059
1823	0.89
1824	1.11
1825	0.945
1826	0.931
1827	0.961
1828	1.067
1829	0.995
1830	1.162
1831	1.265
1832	1.326
1833	1.221
1834	1.308
1835	0.929
1836	1.036
1837	1.035
1838	0.811
1839	0.917
1840	0.858
1841	0.946
1842	0.988
1843	0.956
1844	0.846
1845	0.965
1846	0.855
1847	0.779
1848	1.241
1849	1.092
1850	1.192
1851	1.191
1852	1.052
1853	1.014
1854	0.979
1855	1.003
1856	1.016
1857	1.002
1858	1.071
1859	1.035
1860	0.806
1861	0.999
1862	1.049
1863	1.013
1864	1.142
1865	1.219
1866	1.156
1867	1.106
1868	0.944
1869	0.793
1870	0.832
1871	1.068
1872	0.852
1873	1.155
1874	1.266
1875	1.355
1876	1.079
1877	1.234
1878	1.141
1879	1.204
1880	1.298
1881	1.037
1882	1.003
1883	1.023
1884	1.115
1885	1.205
1886	1.252
1887	1.256
1888	1.325
1889	1.487
1890	1.184
1891	1.383
1892	1.295
1893	1.119
1894	1.004
1895	1.102
1896	1.179
1897	1.608
1898	1.334
1899	1.287
1900	1.465
1901	1.564
1902	1.315
1903	1.383
1904	1.383
1905	1.135
1906	1.101
1907	0.934
1908	0.885
1909	0.742
1910	0.693
1911	0.959
1912	0.784
1913	0.966
1914	0.771
1915	0.782
1916	0.829
1917	0.686
1918	0.711
1919	0.84
1920	0.706
1921	0.656
1922	0.755
1923	0.709
1924	0.87
1925	0.799
1926	0.662
1927	0.793
1928	0.803
1929	0.901
1930	0.93
1931	1.033
1932	1.224
1933	1.127
1934	1.008
1935	1.196
1936	0.966
1937	1.062
1938	0.884
1939	0.973
1940	0.787
1941	0.933
1942	0.912
1943	0.686
1944	0.837
1945	0.935
1946	1.079
1947	0.956
1948	0.971
1949	1.14
1950	1.145
1951	1.277
1952	1.313
1953	1.006
1954	1.028
1955	1.13
1956	0.911
1957	1.003
1958	0.731
1959	1.054
1960	1.122
1961	1.269
1962	1.13
1963	1.044
1964	1.048
1965	0.898
1966	1.11
1967	0.92
1968	0.758
1969	0.917
1970	0.749
1971	0.656
1972	0.653
1973	0.689
1974	0.57
1975	0.595
1976	0.61
1977	0.763
1978	0.68
1979	0.574
1980	0.602
1981	0.607
1982	0.616
1983	0.529
1984	0.59
1985	0.615
1986	0.615
1987	0.621
1988	0.595