# northamerica_canada_cana127 - Dividing Lake - 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/3448
#
# 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_cana127 - Dividing Lake - 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: Dividing Lake
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 45.42
#	Southernmost_Latitude: 45.42
#	Easternmost_Longitude: -78.6
#	Westernmost_Longitude: -78.6
#	Elevation: 500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana127B
#	Earliest_Year: 1693
#	Most_Recent_Year: 1994
#	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":"3.99608092066","T2":"15.351729967","M1":"0.0225819407996","M2":"0.444801581949"}}
#--------------------
# Species
#	Species_Name: eastern white pine
#	Species_Code: PIST
#--------------------
# 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
1693	0.963
1694	1.19
1695	1.04
1696	0.95
1697	0.735
1698	0.692
1699	0.783
1700	0.869
1701	0.794
1702	0.951
1703	1.045
1704	1.098
1705	1.14
1706	1.218
1707	1.08
1708	1.094
1709	1.352
1710	1.018
1711	1.027
1712	1.001
1713	1.04
1714	1.016
1715	1.201
1716	0.919
1717	0.978
1718	1.045
1719	1.158
1720	1.193
1721	0.917
1722	0.902
1723	0.829
1724	1.004
1725	1.011
1726	0.958
1727	1.152
1728	1.067
1729	0.934
1730	0.8
1731	0.894
1732	1.033
1733	0.885
1734	0.91
1735	1.067
1736	0.877
1737	0.933
1738	1.075
1739	1.113
1740	1.05
1741	0.752
1742	0.716
1743	0.538
1744	0.659
1745	0.825
1746	0.933
1747	1.059
1748	0.854
1749	1.106
1750	1.156
1751	0.882
1752	0.815
1753	0.783
1754	0.791
1755	0.886
1756	1.091
1757	0.95
1758	1.131
1759	0.996
1760	1.002
1761	0.955
1762	1.02
1763	1.103
1764	1.358
1765	1.277
1766	1.17
1767	1.008
1768	1.035
1769	1.057
1770	0.804
1771	0.853
1772	0.886
1773	0.857
1774	1.139
1775	1.25
1776	1.069
1777	1.278
1778	1.219
1779	0.844
1780	0.801
1781	0.917
1782	0.996
1783	0.979
1784	1.208
1785	0.988
1786	0.916
1787	1.031
1788	1.04
1789	1.051
1790	1.064
1791	1.009
1792	0.799
1793	1.221
1794	1.234
1795	1.042
1796	1.2
1797	1.042
1798	0.858
1799	1.103
1800	0.801
1801	1.117
1802	1.12
1803	0.934
1804	0.93
1805	1.005
1806	1.228
1807	1.19
1808	1.027
1809	1.02
1810	0.973
1811	1.131
1812	1.211
1813	1.028
1814	1.092
1815	1.229
1816	1.07
1817	0.974
1818	0.803
1819	0.968
1820	0.627
1821	0.562
1822	0.651
1823	0.727
1824	0.755
1825	0.795
1826	0.91
1827	1.028
1828	1.29
1829	1.287
1830	1.393
1831	1.415
1832	1.333
1833	1.284
1834	1.044
1835	0.676
1836	0.587
1837	0.51
1838	0.446
1839	0.254
1840	0.259
1841	0.318
1842	0.416
1843	0.513
1844	0.593
1845	0.824
1846	0.834
1847	0.833
1848	1.207
1849	0.768
1850	0.836
1851	0.998
1852	1.027
1853	1.244
1854	1.054
1855	1.092
1856	1.284
1857	1.331
1858	1.121
1859	1.284
1860	1.019
1861	0.817
1862	0.767
1863	0.998
1864	0.838
1865	0.902
1866	0.957
1867	1.044
1868	0.774
1869	0.826
1870	0.735
1871	0.809
1872	0.88
1873	1.004
1874	0.961
1875	0.905
1876	0.713
1877	1.01
1878	1.022
1879	1.041
1880	0.95
1881	1.08
1882	0.932
1883	0.664
1884	0.653
1885	0.848
1886	0.843
1887	0.776
1888	0.707
1889	0.844
1890	0.646
1891	0.858
1892	1.008
1893	1.076
1894	1.19
1895	1.116
1896	1.136
1897	0.974
1898	1.264
1899	1.392
1900	1.048
1901	1.044
1902	1.211
1903	1.212
1904	1.213
1905	1.209
1906	1.147
1907	0.733
1908	0.705
1909	0.802
1910	0.832
1911	0.788
1912	0.926
1913	0.867
1914	1.0
1915	1.212
1916	1.15
1917	1.08
1918	1.011
1919	0.633
1920	0.875
1921	0.799
1922	1.046
1923	0.814
1924	0.956
1925	1.168
1926	1.086
1927	0.973
1928	0.947
1929	1.034
1930	1.116
1931	0.869
1932	1.15
1933	1.126
1934	0.976
1935	1.129
1936	1.029
1937	0.893
1938	0.883
1939	0.988
1940	1.038
1941	0.937
1942	1.226
1943	1.061
1944	1.042
1945	1.234
1946	1.253
1947	1.31
1948	0.934
1949	1.117
1950	1.193
1951	1.223
1952	1.324
1953	1.664
1954	1.459
1955	1.474
1956	1.067
1957	1.076
1958	1.084
1959	1.012
1960	0.974
1961	0.927
1962	0.909
1963	0.953
1964	1.203
1965	1.177
1966	0.952
1967	0.878
1968	0.888
1969	0.89
1970	0.969
1971	1.023
1972	0.823
1973	0.874
1974	0.888
1975	1.109
1976	0.931
1977	0.712
1978	0.885
1979	0.916
1980	0.83
1981	0.66
1982	0.883
1983	0.774
1984	0.69
1985	0.89
1986	0.995
1987	1.052
1988	0.912
1989	1.093
1990	0.86
1991	0.91
1992	0.849
1993	0.872
1994	0.657