# northamerica_canada_cana243 - Ball Lake - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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.
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# 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/6148
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana243 - Ball Lake - Breitenmoser Tree Ring Chronology Data
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# 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.
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#	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.
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# 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
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# Site_Information
#	Site_Name: Ball Lake
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 50.32
#	Southernmost_Latitude: 50.32
#	Easternmost_Longitude: -94.0
#	Westernmost_Longitude: -94.0
#	Elevation: 321 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana243B
#	Earliest_Year: 1810
#	Most_Recent_Year: 2004
#	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":"3.77349772106","T2":"15.1980313514","M1":"0.0223397353587","M2":"0.511722243582"}}
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# Species
#	Species_Name: eastern white pine
#	Species_Code: PIST
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# Chronology:
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# Variables
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# 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)
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##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1810	2.059
1811	1.86
1812	2.206
1813	2.104
1814	0.919
1815	0.8
1816	0.719
1817	0.855
1818	1.339
1819	1.593
1820	1.142
1821	1.213
1822	1.343
1823	0.878
1824	1.349
1825	1.434
1826	0.956
1827	1.293
1828	1.035
1829	0.948
1830	0.875
1831	0.946
1832	0.95
1833	1.161
1834	1.416
1835	1.087
1836	1.314
1837	1.208
1838	0.901
1839	0.617
1840	0.494
1841	0.408
1842	0.354
1843	0.373
1844	0.508
1845	0.555
1846	0.975
1847	0.712
1848	0.784
1849	0.873
1850	0.791
1851	0.985
1852	0.931
1853	0.879
1854	0.54
1855	0.728
1856	0.966
1857	0.613
1858	0.706
1859	0.634
1860	0.577
1861	0.531
1862	0.304
1863	0.301
1864	0.391
1865	0.319
1866	0.521
1867	0.538
1868	0.662
1869	0.675
1870	0.692
1871	0.614
1872	0.784
1873	0.759
1874	0.577
1875	0.585
1876	0.587
1877	0.94
1878	1.056
1879	1.65
1880	1.017
1881	1.144
1882	0.87
1883	0.518
1884	0.736
1885	0.843
1886	0.666
1887	0.673
1888	0.619
1889	0.678
1890	0.718
1891	0.984
1892	0.675
1893	0.681
1894	0.712
1895	0.882
1896	0.92
1897	0.906
1898	1.317
1899	1.284
1900	1.067
1901	0.905
1902	0.773
1903	0.86
1904	0.963
1905	0.703
1906	0.542
1907	0.485
1908	0.468
1909	0.673
1910	0.306
1911	0.946
1912	0.881
1913	1.112
1914	0.981
1915	0.842
1916	1.029
1917	1.007
1918	0.918
1919	0.603
1920	0.347
1921	0.627
1922	0.98
1923	1.024
1924	1.206
1925	1.318
1926	1.482
1927	1.609
1928	1.576
1929	1.156
1930	0.928
1931	1.318
1932	1.519
1933	1.006
1934	1.174
1935	1.465
1936	0.98
1937	1.719
1938	1.68
1939	1.591
1940	1.443
1941	1.312
1942	1.683
1943	1.364
1944	1.391
1945	1.213
1946	1.61
1947	0.91
1948	0.592
1949	0.859
1950	0.886
1951	1.074
1952	1.701
1953	1.573
1954	1.615
1955	2.351
1956	1.269
1957	1.362
1958	1.438
1959	1.629
1960	1.193
1961	0.863
1962	1.365
1963	1.41
1964	1.292
1965	1.601
1966	1.014
1967	1.01
1968	1.059
1969	1.212
1970	0.857
1971	0.944
1972	0.828
1973	1.023
1974	0.596
1975	1.054
1976	0.79
1977	0.748
1978	0.826
1979	0.844
1980	0.744
1981	0.953
1982	0.899
1983	0.938
1984	0.898
1985	0.713
1986	0.607
1987	0.565
1988	0.832
1989	0.88
1990	0.864
1991	0.836
1992	0.613
1993	0.909
1994	0.897
1995	0.658
1996	0.608
1997	0.588
1998	0.479
1999	0.668
2000	0.9
2001	1.014
2002	0.914
2003	0.619
2004	0.727