# northamerica_canada_cana129 - Wood Buffalo National Park Site SF - 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/3865
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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_cana129 - Wood Buffalo National Park Site SF - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# 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: Wood Buffalo National Park Site SF
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 59.98
#	Southernmost_Latitude: 59.98
#	Easternmost_Longitude: -112.35
#	Westernmost_Longitude: -112.35
#	Elevation: 200 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana129B
#	Earliest_Year: 1834
#	Most_Recent_Year: 1989
#	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":"4.32774512822","T2":"16.3426451049","M1":"0.0231322797994","M2":"0.492498443709"}}
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# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
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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
1834	0.952
1835	0.955
1836	0.991
1837	0.826
1838	0.883
1839	0.896
1840	1.175
1841	1.072
1842	0.899
1843	0.918
1844	0.831
1845	0.793
1846	1.094
1847	0.965
1848	0.97
1849	1.113
1850	0.863
1851	0.921
1852	0.969
1853	1.015
1854	0.679
1855	0.921
1856	0.914
1857	0.882
1858	0.814
1859	0.836
1860	0.94
1861	0.932
1862	0.868
1863	0.944
1864	0.969
1865	0.848
1866	0.976
1867	1.007
1868	1.081
1869	1.117
1870	1.371
1871	1.233
1872	1.008
1873	1.149
1874	0.984
1875	0.872
1876	0.668
1877	0.833
1878	0.997
1879	0.725
1880	0.842
1881	0.895
1882	0.919
1883	0.895
1884	0.957
1885	0.773
1886	0.866
1887	1.046
1888	0.866
1889	0.92
1890	0.895
1891	1.098
1892	0.887
1893	0.947
1894	0.917
1895	1.076
1896	0.926
1897	1.124
1898	1.296
1899	1.264
1900	1.421
1901	1.652
1902	1.252
1903	1.328
1904	1.048
1905	0.9
1906	0.919
1907	0.93
1908	0.859
1909	0.802
1910	1.109
1911	1.096
1912	0.842
1913	0.845
1914	0.932
1915	0.701
1916	0.829
1917	0.965
1918	0.939
1919	1.041
1920	0.947
1921	1.146
1922	1.227
1923	1.118
1924	0.947
1925	1.217
1926	1.185
1927	1.05
1928	0.807
1929	0.824
1930	0.938
1931	1.105
1932	1.116
1933	1.002
1934	1.037
1935	1.043
1936	1.033
1937	0.998
1938	0.976
1939	0.921
1940	1.109
1941	1.099
1942	0.97
1943	0.792
1944	0.688
1945	0.676
1946	0.838
1947	0.93
1948	0.756
1949	0.918
1950	0.772
1951	0.992
1952	0.64
1953	0.707
1954	0.696
1955	0.783
1956	1.148
1957	1.072
1958	1.093
1959	1.337
1960	1.362
1961	1.073
1962	1.223
1963	1.22
1964	1.026
1965	1.056
1966	0.884
1967	0.833
1968	0.795
1969	0.664
1970	0.522
1971	0.639
1972	0.776
1973	0.777
1974	0.698
1975	0.777
1976	0.638
1977	0.599
1978	0.876
1979	0.915
1980	0.775
1981	0.901
1982	0.787
1983	0.809
1984	1.368
1985	1.38
1986	1.455
1987	1.561
1988	1.596
1989	1.531