# northamerica_canada_cana158 - Churchill Composite - 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.
#
#
# 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/3591
#
# 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_cana158 - Churchill Composite - 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 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.
#--------------------
#	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: Churchill Composite
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 58.72
#	Southernmost_Latitude: 58.72
#	Easternmost_Longitude: -94.07
#	Westernmost_Longitude: -94.07
#	Elevation: 50 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana158B
#	Earliest_Year: 1686
#	Most_Recent_Year: 1978
#	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":"5.67680110897","T2":"19.4820361173","M1":"0.0217042557277","M2":"0.21397505032"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
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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)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1686	0.786
1687	0.809
1688	0.815
1689	1.171
1690	1.143
1691	0.83
1692	0.962
1693	1.279
1694	0.759
1695	0.929
1696	0.726
1697	0.681
1698	0.808
1699	0.759
1700	0.82
1701	0.75
1702	1.127
1703	1.122
1704	0.767
1705	1.071
1706	0.762
1707	0.986
1708	1.194
1709	0.801
1710	1.233
1711	0.955
1712	1.022
1713	1.185
1714	0.877
1715	0.904
1716	0.754
1717	1.05
1718	1.003
1719	1.251
1720	0.995
1721	1.245
1722	1.247
1723	1.341
1724	1.524
1725	1.245
1726	1.282
1727	1.194
1728	1.169
1729	1.116
1730	1.051
1731	0.977
1732	1.007
1733	0.9
1734	0.863
1735	0.975
1736	1.125
1737	1.066
1738	1.296
1739	1.184
1740	1.06
1741	0.616
1742	0.708
1743	0.549
1744	0.872
1745	0.89
1746	0.727
1747	1.038
1748	0.934
1749	0.98
1750	0.773
1751	0.819
1752	1.042
1753	1.075
1754	1.201
1755	1.169
1756	1.071
1757	0.823
1758	0.796
1759	0.573
1760	0.89
1761	0.913
1762	1.029
1763	1.057
1764	0.907
1765	1.071
1766	1.167
1767	1.265
1768	1.278
1769	1.186
1770	1.222
1771	0.784
1772	1.1
1773	0.721
1774	0.957
1775	1.077
1776	1.328
1777	1.242
1778	0.987
1779	0.779
1780	0.982
1781	0.766
1782	1.108
1783	0.759
1784	1.128
1785	1.003
1786	1.091
1787	0.892
1788	1.116
1789	1.048
1790	1.108
1791	1.064
1792	0.872
1793	0.8
1794	0.989
1795	0.794
1796	0.934
1797	0.755
1798	0.925
1799	0.869
1800	0.698
1801	1.066
1802	0.898
1803	1.069
1804	1.026
1805	1.277
1806	1.095
1807	1.056
1808	1.046
1809	0.98
1810	1.331
1811	1.172
1812	1.168
1813	1.091
1814	1.164
1815	1.066
1816	1.053
1817	1.008
1818	0.968
1819	1.165
1820	1.093
1821	0.872
1822	1.118
1823	0.974
1824	0.917
1825	0.829
1826	1.123
1827	0.805
1828	1.132
1829	1.099
1830	1.116
1831	1.089
1832	0.921
1833	1.156
1834	1.154
1835	0.762
1836	0.829
1837	0.354
1838	0.968
1839	0.701
1840	0.755
1841	0.86
1842	0.734
1843	0.807
1844	0.814
1845	0.782
1846	0.948
1847	0.807
1848	0.831
1849	0.883
1850	1.127
1851	0.808
1852	0.909
1853	0.856
1854	0.888
1855	0.876
1856	0.945
1857	0.983
1858	0.867
1859	0.97
1860	0.673
1861	0.897
1862	0.864
1863	1.032
1864	1.069
1865	1.157
1866	1.078
1867	0.908
1868	0.987
1869	0.761
1870	1.399
1871	1.15
1872	1.039
1873	1.319
1874	0.89
1875	0.96
1876	0.594
1877	1.002
1878	1.155
1879	0.855
1880	0.977
1881	0.858
1882	0.763
1883	0.842
1884	0.887
1885	1.037
1886	1.126
1887	1.142
1888	0.822
1889	0.697
1890	0.898
1891	0.777
1892	0.914
1893	0.93
1894	0.748
1895	0.871
1896	0.838
1897	0.874
1898	0.905
1899	0.915
1900	0.951
1901	0.68
1902	0.948
1903	1.082
1904	0.897
1905	0.903
1906	0.993
1907	0.822
1908	1.007
1909	0.95
1910	0.995
1911	0.866
1912	0.872
1913	0.963
1914	0.803
1915	0.693
1916	0.844
1917	0.921
1918	0.687
1919	0.835
1920	0.846
1921	1.075
1922	0.532
1923	0.974
1924	0.789
1925	0.932
1926	0.747
1927	1.028
1928	1.071
1929	0.988
1930	1.096
1931	0.747
1932	1.051
1933	1.211
1934	1.097
1935	0.895
1936	1.021
1937	0.673
1938	1.08
1939	1.088
1940	0.947
1941	1.265
1942	1.09
1943	1.167
1944	1.087
1945	1.005
1946	1.07
1947	1.06
1948	1.003
1949	0.882
1950	0.787
1951	0.938
1952	0.684
1953	0.933
1954	1.031
1955	0.957
1956	0.898
1957	1.068
1958	0.86
1959	0.908
1960	0.677
1961	1.172
1962	0.99
1963	1.24
1964	1.166
1965	1.201
1966	1.406
1967	1.077
1968	1.059
1969	1.186
1970	1.186
1971	0.756
1972	1.224
1973	0.953
1974	1.339
1975	0.913
1976	1.365
1977	1.435
1978	1.15