# northamerica_canada_cana156 - MacKenzie Mountains - 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/3603
#
# 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_cana156 - MacKenzie Mountains - 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: MacKenzie Mountains
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 65.0
#	Southernmost_Latitude: 65.0
#	Easternmost_Longitude: -127.83
#	Westernmost_Longitude: -127.83
#	Elevation: 1375 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana156B
#	Earliest_Year: 1648
#	Most_Recent_Year: 1984
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.79517915163","T2":"17.8442350014","M1":"0.0225030321494","M2":"0.343668008567"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
#--------------------
# 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
1648	1.202
1649	1.026
1650	1.065
1651	0.828
1652	0.764
1653	0.855
1654	1.025
1655	1.296
1656	1.105
1657	1.135
1658	1.164
1659	1.057
1660	1.202
1661	1.064
1662	1.424
1663	1.009
1664	1.139
1665	1.045
1666	0.862
1667	0.814
1668	0.49
1669	0.708
1670	0.686
1671	0.45
1672	0.431
1673	0.555
1674	0.562
1675	0.783
1676	0.81
1677	0.87
1678	0.923
1679	0.778
1680	0.737
1681	0.874
1682	0.908
1683	0.905
1684	0.813
1685	0.722
1686	0.625
1687	0.548
1688	0.753
1689	0.856
1690	1.023
1691	1.045
1692	1.006
1693	0.91
1694	1.06
1695	0.837
1696	0.266
1697	0.744
1698	0.724
1699	0.567
1700	0.574
1701	0.63
1702	0.927
1703	0.834
1704	0.687
1705	0.604
1706	0.646
1707	0.687
1708	0.917
1709	0.783
1710	0.858
1711	0.772
1712	0.734
1713	1.193
1714	0.949
1715	1.115
1716	1.194
1717	0.856
1718	0.894
1719	0.898
1720	1.075
1721	0.512
1722	1.342
1723	0.947
1724	1.086
1725	1.183
1726	1.244
1727	1.131
1728	0.799
1729	0.823
1730	1.038
1731	0.973
1732	0.598
1733	1.385
1734	1.316
1735	1.402
1736	1.161
1737	1.377
1738	0.852
1739	0.962
1740	0.837
1741	0.958
1742	1.057
1743	0.964
1744	0.832
1745	1.036
1746	1.244
1747	0.889
1748	1.131
1749	1.631
1750	1.29
1751	0.811
1752	1.243
1753	1.347
1754	1.297
1755	0.871
1756	1.035
1757	1.05
1758	1.191
1759	1.164
1760	1.257
1761	1.164
1762	1.159
1763	1.054
1764	1.212
1765	0.885
1766	1.208
1767	1.141
1768	1.433
1769	0.933
1770	1.747
1771	1.635
1772	1.855
1773	1.506
1774	1.42
1775	1.579
1776	1.446
1777	1.362
1778	1.25
1779	1.258
1780	1.174
1781	1.433
1782	1.031
1783	1.368
1784	1.083
1785	1.115
1786	1.432
1787	1.437
1788	0.988
1789	1.077
1790	1.172
1791	1.23
1792	1.064
1793	1.173
1794	0.962
1795	1.213
1796	1.198
1797	1.061
1798	0.918
1799	1.052
1800	0.946
1801	1.158
1802	0.879
1803	0.892
1804	1.239
1805	1.052
1806	1.309
1807	1.144
1808	1.088
1809	1.098
1810	0.899
1811	0.856
1812	0.822
1813	1.129
1814	1.026
1815	0.823
1816	1.094
1817	0.761
1818	1.006
1819	0.791
1820	0.84
1821	0.721
1822	0.805
1823	0.847
1824	0.335
1825	0.663
1826	0.668
1827	0.638
1828	0.887
1829	0.647
1830	0.567
1831	0.625
1832	0.795
1833	0.721
1834	0.791
1835	0.632
1836	0.66
1837	0.581
1838	0.733
1839	0.743
1840	0.737
1841	0.853
1842	0.818
1843	0.86
1844	0.869
1845	0.681
1846	0.65
1847	0.79
1848	0.999
1849	0.682
1850	0.701
1851	0.695
1852	0.65
1853	0.811
1854	0.907
1855	0.961
1856	0.714
1857	0.8
1858	0.817
1859	0.982
1860	0.845
1861	0.869
1862	0.841
1863	0.844
1864	0.819
1865	0.987
1866	0.866
1867	0.791
1868	1.051
1869	0.835
1870	0.987
1871	1.024
1872	0.789
1873	0.92
1874	1.056
1875	1.273
1876	0.84
1877	0.837
1878	0.742
1879	0.784
1880	1.029
1881	0.768
1882	1.121
1883	0.79
1884	0.908
1885	0.975
1886	1.203
1887	0.983
1888	1.259
1889	1.161
1890	1.19
1891	1.306
1892	0.869
1893	0.928
1894	0.921
1895	0.939
1896	0.909
1897	1.074
1898	0.857
1899	0.995
1900	0.854
1901	1.17
1902	0.78
1903	0.926
1904	0.752
1905	0.935
1906	0.755
1907	0.687
1908	0.785
1909	0.971
1910	0.955
1911	0.832
1912	0.793
1913	1.024
1914	1.032
1915	0.986
1916	0.89
1917	0.968
1918	0.984
1919	1.003
1920	0.798
1921	0.901
1922	0.942
1923	1.121
1924	0.707
1925	0.83
1926	0.815
1927	0.973
1928	0.832
1929	0.644
1930	1.072
1931	0.871
1932	1.055
1933	1.039
1934	1.423
1935	1.35
1936	1.278
1937	1.216
1938	1.332
1939	1.041
1940	0.8
1941	1.037
1942	0.992
1943	1.136
1944	1.114
1945	1.244
1946	1.238
1947	1.02
1948	1.326
1949	0.896
1950	1.278
1951	0.979
1952	1.2
1953	1.223
1954	1.428
1955	1.193
1956	1.127
1957	1.058
1958	1.102
1959	1.128
1960	1.191
1961	1.272
1962	0.897
1963	0.985
1964	1.263
1965	0.999
1966	0.924
1967	0.913
1968	0.942
1969	0.933
1970	0.847
1971	0.909
1972	1.14
1973	0.835
1974	0.845
1975	0.411
1976	0.679
1977	0.884
1978	0.845
1979	0.878
1980	0.806
1981	0.906
1982	1.294
1983	0.939
1984	0.987