# northamerica_canada_cana207 - Stockhouse Bay, Reindeer 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/2732
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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
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# Title
#	Study_Name: northamerica_canada_cana207 - Stockhouse Bay, Reindeer 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: Stockhouse Bay, Reindeer Lake
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 56.65
#	Southernmost_Latitude: 56.65
#	Easternmost_Longitude: -103.2
#	Westernmost_Longitude: -103.2
#	Elevation: 360 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana207B
#	Earliest_Year: 1855
#	Most_Recent_Year: 2001
#	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":"4.29126393289","T2":"15.9814394288","M1":"0.0223599709472","M2":"0.425372126899"}}
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# Species
#	Species_Name: black spruce
#	Species_Code: PCMA
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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
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age	trsgi
1855	1.185
1856	1.194
1857	1.001
1858	1.265
1859	1.275
1860	1.081
1861	1.081
1862	0.923
1863	0.85
1864	0.583
1865	0.51
1866	0.716
1867	0.846
1868	0.634
1869	0.789
1870	0.995
1871	0.952
1872	0.973
1873	0.969
1874	0.975
1875	0.926
1876	1.009
1877	1.11
1878	0.969
1879	1.083
1880	1.038
1881	1.1
1882	1.097
1883	1.145
1884	0.945
1885	0.969
1886	0.945
1887	0.885
1888	0.874
1889	0.901
1890	1.007
1891	0.774
1892	0.98
1893	1.061
1894	1.031
1895	1.292
1896	1.016
1897	1.065
1898	1.234
1899	1.23
1900	1.191
1901	1.089
1902	1.053
1903	1.002
1904	0.921
1905	0.977
1906	0.83
1907	0.905
1908	0.889
1909	1.03
1910	1.137
1911	1.166
1912	0.91
1913	1.161
1914	1.05
1915	0.807
1916	0.927
1917	0.895
1918	0.934
1919	0.821
1920	0.899
1921	1.018
1922	0.979
1923	0.768
1924	0.861
1925	1.081
1926	0.95
1927	0.897
1928	0.853
1929	0.901
1930	0.822
1931	0.82
1932	1.065
1933	1.035
1934	1.196
1935	1.043
1936	1.185
1937	1.084
1938	1.039
1939	0.969
1940	0.984
1941	1.113
1942	0.834
1943	0.858
1944	0.849
1945	1.187
1946	1.183
1947	1.036
1948	1.144
1949	1.121
1950	1.065
1951	1.186
1952	1.174
1953	1.126
1954	0.914
1955	1.111
1956	1.002
1957	0.953
1958	1.025
1959	0.941
1960	0.958
1961	0.926
1962	0.76
1963	0.926
1964	0.692
1965	1.224
1966	1.065
1967	0.926
1968	0.907
1969	0.993
1970	0.936
1971	1.191
1972	1.025
1973	1.083
1974	0.903
1975	0.986
1976	1.101
1977	1.1
1978	1.083
1979	1.117
1980	0.974
1981	1.038
1982	0.594
1983	0.887
1984	0.806
1985	0.664
1986	1.028
1987	0.831
1988	0.832
1989	0.732
1990	0.796
1991	0.956
1992	0.749
1993	0.834
1994	1.008
1995	0.79
1996	0.933
1997	0.944
1998	1.042
1999	1.091
2000	0.988
2001	1.001