# northamerica_canada_cana10 - Lower Canyon, Stein Valley - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4231
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana10 - Lower Canyon, Stein Valley - 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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: Lower Canyon, Stein Valley
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 50.25
#	Southernmost_Latitude: 50.25
#	Easternmost_Longitude: -121.67
#	Westernmost_Longitude: -121.67
#	Elevation: 200 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana10B
#	Earliest_Year: 1654
#	Most_Recent_Year: 1995
#	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":"3.31012608093","T2":"12.9275452052","M1":"0.0230195035147","M2":"0.590569144467"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1654	0.973
1655	0.665
1656	1.04
1657	1.102
1658	1.16
1659	1.155
1660	1.129
1661	1.013
1662	0.948
1663	0.751
1664	0.788
1665	0.794
1666	1.032
1667	1.119
1668	1.227
1669	1.103
1670	0.916
1671	0.762
1672	0.893
1673	0.961
1674	1.02
1675	1.048
1676	0.783
1677	0.902
1678	0.992
1679	1.022
1680	0.96
1681	0.919
1682	0.976
1683	0.895
1684	0.847
1685	1.021
1686	0.788
1687	0.934
1688	0.833
1689	0.987
1690	0.839
1691	0.731
1692	0.762
1693	0.801
1694	0.918
1695	0.602
1696	0.8
1697	1.18
1698	1.048
1699	0.687
1700	0.996
1701	0.942
1702	0.773
1703	0.944
1704	1.209
1705	0.769
1706	0.929
1707	0.972
1708	0.988
1709	1.27
1710	0.775
1711	1.129
1712	1.106
1713	0.816
1714	0.815
1715	0.992
1716	1.043
1717	0.719
1718	0.971
1719	0.788
1720	0.624
1721	0.759
1722	0.705
1723	0.935
1724	1.162
1725	1.057
1726	0.889
1727	0.916
1728	0.813
1729	0.93
1730	1.083
1731	1.062
1732	0.921
1733	0.95
1734	0.673
1735	0.939
1736	0.719
1737	0.902
1738	1.045
1739	0.405
1740	0.996
1741	0.824
1742	0.921
1743	1.225
1744	1.042
1745	1.094
1746	0.969
1747	1.014
1748	0.983
1749	1.006
1750	0.948
1751	0.96
1752	1.099
1753	0.933
1754	1.267
1755	1.566
1756	1.069
1757	0.739
1758	1.109
1759	0.64
1760	0.51
1761	1.049
1762	1.286
1763	1.166
1764	1.019
1765	1.078
1766	1.109
1767	0.872
1768	1.035
1769	1.065
1770	0.794
1771	1.095
1772	1.174
1773	1.14
1774	1.195
1775	1.426
1776	0.54
1777	1.241
1778	1.008
1779	1.001
1780	0.852
1781	1.034
1782	1.064
1783	0.728
1784	0.888
1785	0.964
1786	0.788
1787	0.804
1788	1.013
1789	0.915
1790	0.878
1791	1.114
1792	0.917
1793	1.266
1794	0.883
1795	1.253
1796	1.051
1797	0.828
1798	1.102
1799	0.928
1800	1.087
1801	1.485
1802	1.321
1803	1.441
1804	1.177
1805	1.184
1806	1.084
1807	1.238
1808	1.167
1809	0.975
1810	1.078
1811	1.083
1812	1.192
1813	1.089
1814	1.489
1815	1.088
1816	0.758
1817	0.727
1818	1.132
1819	1.024
1820	1.356
1821	0.979
1822	1.104
1823	0.879
1824	0.783
1825	1.075
1826	0.995
1827	1.006
1828	0.776
1829	0.725
1830	1.186
1831	0.892
1832	0.928
1833	1.001
1834	0.611
1835	1.009
1836	1.042
1837	0.931
1838	0.813
1839	1.048
1840	1.325
1841	1.422
1842	0.805
1843	0.84
1844	0.729
1845	1.129
1846	1.028
1847	0.84
1848	1.014
1849	0.806
1850	0.83
1851	0.684
1852	0.936
1853	1.024
1854	0.909
1855	0.976
1856	1.018
1857	0.851
1858	1.162
1859	0.858
1860	0.844
1861	1.082
1862	0.698
1863	0.898
1864	0.887
1865	0.884
1866	0.95
1867	0.915
1868	0.876
1869	0.617
1870	0.827
1871	0.839
1872	0.948
1873	0.841
1874	0.926
1875	0.816
1876	1.098
1877	1.078
1878	1.173
1879	0.875
1880	1.1
1881	1.56
1882	0.916
1883	1.141
1884	0.888
1885	0.989
1886	1.095
1887	0.746
1888	0.85
1889	0.659
1890	0.777
1891	1.011
1892	0.826
1893	0.904
1894	1.104
1895	0.988
1896	1.117
1897	0.947
1898	0.777
1899	1.03
1900	1.457
1901	1.2
1902	0.849
1903	1.007
1904	1.158
1905	0.98
1906	1.096
1907	1.202
1908	1.524
1909	1.138
1910	1.044
1911	0.955
1912	0.997
1913	1.344
1914	1.405
1915	1.163
1916	1.145
1917	0.965
1918	0.868
1919	0.894
1920	0.906
1921	0.923
1922	0.756
1923	0.623
1924	0.829
1925	0.532
1926	0.437
1927	0.693
1928	0.881
1929	0.524
1930	0.611
1931	0.503
1932	0.548
1933	0.81
1934	1.059
1935	0.88
1936	0.484
1937	1.0
1938	1.133
1939	1.122
1940	0.976
1941	1.229
1942	1.169
1943	1.159
1944	0.988
1945	1.265
1946	1.321
1947	0.968
1948	0.976
1949	1.174
1950	1.132
1951	0.95
1952	1.043
1953	0.974
1954	1.031
1955	1.345
1956	1.209
1957	1.215
1958	0.972
1959	1.113
1960	1.196
1961	0.865
1962	1.318
1963	1.404
1964	1.201
1965	1.008
1966	1.57
1967	1.109
1968	1.203
1969	1.041
1970	1.103
1971	0.946
1972	1.105
1973	0.701
1974	0.842
1975	0.991
1976	0.917
1977	0.504
1978	0.77
1979	0.657
1980	0.983
1981	1.021
1982	0.947
1983	1.308
1984	1.081
1985	0.887
1986	1.176
1987	0.842
1988	0.725
1989	0.898
1990	1.022
1991	1.171
1992	1.518
1993	1.137
1994	1.073
1995	0.934