# northamerica_canada_cana045 - Willow Lake Insel - 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/4737
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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_cana045 - Willow Lake Insel - 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:
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#	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: Willow Lake Insel
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 62.17
#	Southernmost_Latitude: 62.17
#	Easternmost_Longitude: -119.13
#	Westernmost_Longitude: -119.13
#	Elevation: 620 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana045B
#	Earliest_Year: 1851
#	Most_Recent_Year: 1988
#	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":"5.7415786664","T2":"16.4910070781","M1":"0.0227658983946","M2":"0.462833439258"}}
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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
#
age	trsgi
1851	0.999
1852	0.928
1853	0.95
1854	0.921
1855	0.956
1856	1.024
1857	1.03
1858	0.98
1859	0.909
1860	0.916
1861	1.056
1862	1.088
1863	1.178
1864	1.046
1865	1.101
1866	1.08
1867	0.916
1868	0.942
1869	0.975
1870	1.049
1871	0.939
1872	0.87
1873	0.9
1874	0.882
1875	1.006
1876	0.816
1877	0.942
1878	0.851
1879	0.89
1880	0.953
1881	1.132
1882	1.132
1883	1.183
1884	1.062
1885	0.91
1886	0.991
1887	0.913
1888	1.046
1889	1.056
1890	1.22
1891	1.25
1892	0.967
1893	0.981
1894	1.039
1895	1.062
1896	0.993
1897	1.11
1898	0.696
1899	1.117
1900	1.0
1901	1.064
1902	0.949
1903	0.964
1904	0.728
1905	1.032
1906	1.012
1907	0.953
1908	0.881
1909	0.936
1910	1.015
1911	0.923
1912	0.893
1913	1.088
1914	0.997
1915	0.898
1916	0.844
1917	0.959
1918	0.98
1919	0.986
1920	0.979
1921	1.086
1922	1.039
1923	1.226
1924	1.002
1925	1.117
1926	1.011
1927	1.243
1928	1.104
1929	0.902
1930	1.102
1931	1.024
1932	1.031
1933	1.02
1934	1.228
1935	1.265
1936	0.845
1937	0.989
1938	1.102
1939	0.799
1940	0.648
1941	0.966
1942	0.646
1943	0.782
1944	0.7
1945	0.803
1946	0.792
1947	0.785
1948	1.03
1949	0.742
1950	0.878
1951	0.958
1952	0.91
1953	1.145
1954	1.2
1955	0.917
1956	1.241
1957	1.229
1958	1.145
1959	1.202
1960	1.289
1961	1.137
1962	1.045
1963	1.067
1964	1.164
1965	1.224
1966	1.133
1967	1.071
1968	1.094
1969	1.085
1970	1.267
1971	1.117
1972	1.086
1973	1.036
1974	0.99
1975	1.015
1976	0.727
1977	0.75
1978	0.91
1979	0.882
1980	0.657
1981	0.659
1982	0.781
1983	0.712
1984	0.718
1985	0.887
1986	1.092
1987	0.662
1988	1.185