# northamerica_canada_cana137 - Lundbreck Falls - 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/3903
#
# 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_cana137 - Lundbreck Falls - 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: Lundbreck Falls
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 49.58
#	Southernmost_Latitude: 49.58
#	Easternmost_Longitude: -114.2
#	Westernmost_Longitude: -114.2
#	Elevation: 1200 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana137B
#	Earliest_Year: 1630
#	Most_Recent_Year: 1992
#	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":"1.92833171435","T2":"11.8405949775","M1":"0.0233741168847","M2":"0.625908181754"}}
#--------------------
# Species
#	Species_Name: limber pine
#	Species_Code: PIFL
#--------------------
# 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	0.934
1631	1.134
1632	1.21
1633	1.059
1634	0.513
1635	0.533
1636	0.933
1637	0.89
1638	1.057
1639	0.767
1640	1.235
1641	1.466
1642	1.071
1643	1.009
1644	1.045
1645	1.056
1646	0.481
1647	0.836
1648	0.418
1649	0.655
1650	0.82
1651	0.619
1652	0.378
1653	0.415
1654	0.563
1655	0.862
1656	0.923
1657	0.393
1658	0.891
1659	1.303
1660	1.668
1661	0.651
1662	1.081
1663	0.876
1664	0.548
1665	0.871
1666	0.902
1667	1.108
1668	1.288
1669	1.234
1670	0.92
1671	1.35
1672	1.476
1673	1.154
1674	0.714
1675	1.225
1676	0.998
1677	0.824
1678	1.826
1679	1.155
1680	0.976
1681	1.225
1682	1.096
1683	1.095
1684	0.653
1685	1.433
1686	1.069
1687	1.037
1688	1.205
1689	1.021
1690	0.723
1691	1.159
1692	0.698
1693	0.863
1694	0.852
1695	0.629
1696	0.4
1697	0.533
1698	0.664
1699	0.65
1700	0.791
1701	0.59
1702	1.061
1703	0.519
1704	0.589
1705	1.105
1706	0.755
1707	0.628
1708	0.746
1709	1.079
1710	1.018
1711	0.849
1712	0.92
1713	1.141
1714	1.14
1715	1.339
1716	1.579
1717	0.437
1718	0.417
1719	0.677
1720	0.225
1721	0.187
1722	0.603
1723	0.774
1724	1.048
1725	0.937
1726	1.161
1727	1.32
1728	1.162
1729	0.943
1730	0.628
1731	1.248
1732	1.288
1733	1.423
1734	1.19
1735	0.952
1736	1.256
1737	1.436
1738	1.099
1739	0.905
1740	1.083
1741	0.818
1742	1.384
1743	0.782
1744	0.409
1745	1.081
1746	0.674
1747	0.464
1748	0.306
1749	0.738
1750	0.932
1751	0.915
1752	0.732
1753	2.016
1754	1.782
1755	0.869
1756	0.783
1757	0.856
1758	0.879
1759	0.324
1760	0.218
1761	0.76
1762	0.842
1763	0.72
1764	0.467
1765	0.92
1766	0.354
1767	1.186
1768	0.866
1769	0.757
1770	1.058
1771	1.207
1772	1.051
1773	0.535
1774	1.098
1775	1.144
1776	0.846
1777	1.033
1778	1.076
1779	1.018
1780	1.41
1781	1.551
1782	1.266
1783	1.275
1784	1.059
1785	0.896
1786	0.919
1787	1.178
1788	0.646
1789	0.815
1790	0.796
1791	0.69
1792	0.978
1793	0.602
1794	0.413
1795	0.667
1796	0.68
1797	0.828
1798	0.602
1799	1.026
1800	0.563
1801	1.015
1802	0.855
1803	0.988
1804	1.006
1805	1.116
1806	1.195
1807	1.045
1808	0.752
1809	1.243
1810	1.206
1811	1.325
1812	1.251
1813	1.293
1814	1.254
1815	0.557
1816	1.278
1817	0.498
1818	0.687
1819	0.95
1820	0.922
1821	1.209
1822	1.015
1823	0.812
1824	1.03
1825	1.131
1826	0.983
1827	1.172
1828	1.237
1829	1.136
1830	0.983
1831	0.794
1832	1.007
1833	1.039
1834	1.179
1835	1.3
1836	1.548
1837	1.479
1838	1.404
1839	2.575
1840	2.01
1841	2.057
1842	1.294
1843	1.124
1844	0.774
1845	1.328
1846	1.039
1847	0.67
1848	0.993
1849	1.075
1850	0.852
1851	1.052
1852	0.878
1853	1.085
1854	0.899
1855	0.684
1856	0.94
1857	0.89
1858	1.209
1859	0.791
1860	1.152
1861	1.019
1862	1.174
1863	0.348
1864	0.744
1865	0.364
1866	0.951
1867	0.548
1868	0.807
1869	0.327
1870	0.383
1871	0.266
1872	0.253
1873	0.428
1874	0.534
1875	0.534
1876	0.443
1877	0.622
1878	0.742
1879	1.287
1880	1.395
1881	1.287
1882	1.096
1883	1.238
1884	1.279
1885	1.265
1886	1.043
1887	1.323
1888	1.513
1889	1.087
1890	1.644
1891	1.652
1892	1.389
1893	0.969
1894	1.485
1895	0.845
1896	0.753
1897	0.986
1898	1.225
1899	1.571
1900	1.678
1901	1.573
1902	1.643
1903	1.358
1904	1.336
1905	1.103
1906	1.093
1907	1.555
1908	1.218
1909	1.238
1910	0.568
1911	1.041
1912	1.03
1913	1.228
1914	0.844
1915	1.326
1916	1.344
1917	1.246
1918	0.493
1919	0.632
1920	1.001
1921	0.761
1922	0.567
1923	0.927
1924	0.57
1925	0.758
1926	0.742
1927	1.173
1928	1.055
1929	1.32
1930	0.983
1931	0.55
1932	1.046
1933	0.471
1934	0.879
1935	0.701
1936	0.335
1937	0.625
1938	0.722
1939	0.559
1940	0.7
1941	1.081
1942	1.21
1943	1.299
1944	0.63
1945	1.227
1946	1.283
1947	1.598
1948	1.34
1949	0.963
1950	0.644
1951	0.907
1952	0.964
1953	1.165
1954	0.792
1955	1.117
1956	0.646
1957	1.036
1958	1.059
1959	1.063
1960	0.606
1961	0.714
1962	0.727
1963	0.518
1964	0.805
1965	0.937
1966	1.072
1967	1.16
1968	0.778
1969	1.172
1970	0.624
1971	0.895
1972	0.818
1973	0.674
1974	0.904
1975	1.343
1976	0.768
1977	0.813
1978	1.49
1979	1.129
1980	0.879
1981	1.373
1982	0.623
1983	0.701
1984	0.744
1985	0.406
1986	0.839
1987	0.826
1988	1.014
1989	1.279
1990	1.501
1991	1.327
1992	0.605