# northamerica_canada_cana123 - Skipping Bullet (Trees less 200 years) - 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/5101
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# 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_cana123 - Skipping Bullet (Trees less 200 years) - 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: Skipping Bullet (Trees less 200 years)
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 64.98
#	Southernmost_Latitude: 64.98
#	Easternmost_Longitude: -127.57
#	Westernmost_Longitude: -127.57
#	Elevation: 950 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana123B
#	Earliest_Year: 1630
#	Most_Recent_Year: 1989
#	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":"5.87143481191","T2":"17.9320988626","M1":"0.0222237827895","M2":"0.331514846053"}}
#--------------------
# 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
1630	0.833
1631	0.813
1632	0.762
1633	0.948
1634	1.197
1635	0.85
1636	1.041
1637	1.164
1638	1.17
1639	1.419
1640	1.508
1641	1.045
1642	0.771
1643	0.741
1644	0.907
1645	0.897
1646	0.833
1647	0.879
1648	1.087
1649	1.016
1650	1.304
1651	1.167
1652	1.1
1653	1.212
1654	1.137
1655	1.267
1656	1.27
1657	1.32
1658	1.298
1659	1.384
1660	1.709
1661	1.815
1662	1.724
1663	1.121
1664	1.201
1665	1.007
1666	1.007
1667	0.742
1668	0.723
1669	0.457
1670	0.379
1671	0.435
1672	0.445
1673	0.541
1674	0.497
1675	0.686
1676	0.673
1677	0.739
1678	0.704
1679	0.614
1680	0.792
1681	0.957
1682	0.956
1683	0.944
1684	0.902
1685	0.809
1686	0.969
1687	0.573
1688	0.874
1689	1.032
1690	1.147
1691	1.117
1692	1.11
1693	1.055
1694	1.335
1695	1.051
1696	0.861
1697	1.305
1698	0.987
1699	0.778
1700	0.744
1701	0.645
1702	0.949
1703	0.677
1704	0.565
1705	0.444
1706	0.517
1707	0.693
1708	0.86
1709	0.895
1710	0.903
1711	0.798
1712	0.712
1713	1.15
1714	0.918
1715	1.189
1716	1.265
1717	0.871
1718	0.94
1719	0.889
1720	1.175
1721	0.332
1722	1.127
1723	0.785
1724	1.116
1725	1.246
1726	1.431
1727	1.407
1728	0.879
1729	0.859
1730	1.194
1731	0.897
1732	0.51
1733	1.133
1734	1.146
1735	1.258
1736	1.064
1737	1.132
1738	0.682
1739	0.994
1740	0.566
1741	0.58
1742	0.777
1743	0.629
1744	0.565
1745	0.737
1746	1.026
1747	0.844
1748	0.876
1749	1.177
1750	1.086
1751	0.704
1752	0.899
1753	0.903
1754	1.069
1755	0.724
1756	1.064
1757	1.032
1758	1.235
1759	1.126
1760	1.27
1761	1.236
1762	1.163
1763	1.242
1764	0.954
1765	0.772
1766	0.998
1767	0.999
1768	1.307
1769	0.793
1770	1.528
1771	1.4
1772	1.852
1773	1.186
1774	1.355
1775	1.695
1776	1.563
1777	1.325
1778	1.16
1779	1.257
1780	1.088
1781	1.403
1782	1.049
1783	1.378
1784	1.034
1785	1.122
1786	1.472
1787	1.508
1788	1.093
1789	1.105
1790	1.316
1791	1.161
1792	0.904
1793	1.119
1794	0.793
1795	1.171
1796	1.224
1797	0.978
1798	0.996
1799	1.048
1800	0.818
1801	1.066
1802	0.664
1803	0.776
1804	1.187
1805	0.905
1806	1.288
1807	1.038
1808	1.108
1809	1.191
1810	0.898
1811	0.922
1812	0.785
1813	1.165
1814	1.091
1815	0.815
1816	1.091
1817	0.719
1818	1.148
1819	0.711
1820	0.734
1821	0.651
1822	0.792
1823	0.846
1824	0.617
1825	0.578
1826	0.717
1827	0.67
1828	0.965
1829	0.753
1830	0.594
1831	0.613
1832	0.94
1833	0.762
1834	0.898
1835	0.731
1836	0.711
1837	0.472
1838	0.803
1839	0.691
1840	0.841
1841	0.949
1842	0.796
1843	0.77
1844	0.593
1845	0.436
1846	0.458
1847	0.601
1848	0.953
1849	0.57
1850	0.496
1851	0.43
1852	0.569
1853	0.719
1854	0.754
1855	0.77
1856	0.49
1857	0.616
1858	0.62
1859	0.726
1860	0.645
1861	0.722
1862	0.689
1863	0.68
1864	0.565
1865	0.862
1866	0.777
1867	0.671
1868	0.946
1869	0.806
1870	0.852
1871	0.915
1872	0.74
1873	0.777
1874	1.044
1875	1.267
1876	0.708
1877	0.897
1878	0.7
1879	0.939
1880	1.064
1881	0.77
1882	1.208
1883	0.881
1884	0.992
1885	0.975
1886	1.761
1887	1.046
1888	1.164
1889	1.127
1890	1.117
1891	0.94
1892	0.728
1893	0.87
1894	0.86
1895	0.857
1896	0.82
1897	0.925
1898	0.862
1899	1.124
1900	0.942
1901	1.199
1902	0.967
1903	1.201
1904	0.921
1905	1.059
1906	1.312
1907	1.064
1908	1.064
1909	1.163
1910	1.152
1911	1.032
1912	0.871
1913	1.275
1914	1.231
1915	1.144
1916	1.162
1917	1.167
1918	1.132
1919	1.129
1920	1.125
1921	1.189
1922	0.981
1923	1.364
1924	0.771
1925	0.976
1926	0.891
1927	1.134
1928	0.87
1929	0.72
1930	1.094
1931	0.88
1932	1.104
1933	1.077
1934	1.206
1935	1.577
1936	1.48
1937	1.251
1938	1.434
1939	1.041
1940	0.618
1941	0.823
1942	0.842
1943	0.949
1944	0.902
1945	1.133
1946	1.105
1947	0.922
1948	1.232
1949	0.912
1950	1.053
1951	0.888
1952	1.253
1953	1.161
1954	1.412
1955	1.377
1956	1.219
1957	1.041
1958	1.276
1959	1.254
1960	1.24
1961	1.007
1962	0.753
1963	0.831
1964	1.089
1965	1.055
1966	1.011
1967	0.971
1968	1.128
1969	1.1
1970	0.874
1971	1.032
1972	1.085
1973	0.905
1974	1.072
1975	0.967
1976	0.713
1977	0.865
1978	0.845
1979	1.147
1980	0.873
1981	0.62
1982	1.262
1983	0.932
1984	0.832
1985	0.997
1986	1.248
1987	0.982
1988	0.936
1989	1.128