# northamerica_canada_cana089 - Fort Nelson - 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/4414
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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_cana089 - Fort Nelson - 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:
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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: Fort Nelson
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 58.33
#	Southernmost_Latitude: 58.33
#	Easternmost_Longitude: -122.83
#	Westernmost_Longitude: -122.83
#	Elevation: 690 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana089B
#	Earliest_Year: 1824
#	Most_Recent_Year: 1983
#	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":"4.35561650882","T2":"15.0556990036","M1":"0.0220780155235","M2":"0.531613946014"}}
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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
1824	0.82
1825	0.627
1826	1.049
1827	1.166
1828	1.072
1829	0.966
1830	1.064
1831	1.196
1832	1.19
1833	1.131
1834	0.989
1835	1.014
1836	0.876
1837	0.938
1838	0.868
1839	0.98
1840	1.134
1841	1.047
1842	0.953
1843	0.979
1844	0.839
1845	0.983
1846	1.041
1847	1.052
1848	0.952
1849	1.003
1850	0.635
1851	1.024
1852	1.164
1853	1.373
1854	1.131
1855	0.989
1856	0.972
1857	1.096
1858	1.127
1859	1.028
1860	0.852
1861	0.846
1862	0.844
1863	0.954
1864	0.855
1865	0.78
1866	0.77
1867	0.816
1868	0.684
1869	0.59
1870	0.859
1871	0.872
1872	0.918
1873	0.958
1874	1.046
1875	0.932
1876	0.573
1877	0.806
1878	0.762
1879	0.896
1880	1.131
1881	1.351
1882	1.336
1883	1.321
1884	1.296
1885	1.229
1886	1.097
1887	1.317
1888	1.073
1889	0.828
1890	0.997
1891	1.029
1892	1.097
1893	1.045
1894	1.046
1895	0.737
1896	1.023
1897	0.825
1898	0.723
1899	0.93
1900	1.005
1901	1.097
1902	1.065
1903	1.161
1904	1.127
1905	1.112
1906	0.921
1907	1.072
1908	0.921
1909	0.99
1910	1.222
1911	1.198
1912	1.016
1913	0.891
1914	0.756
1915	0.831
1916	0.729
1917	0.688
1918	0.687
1919	0.74
1920	0.717
1921	0.73
1922	0.769
1923	0.675
1924	0.61
1925	0.615
1926	0.742
1927	0.938
1928	0.728
1929	0.862
1930	1.077
1931	0.893
1932	1.153
1933	1.156
1934	1.058
1935	1.06
1936	1.029
1937	1.016
1938	1.018
1939	0.958
1940	0.908
1941	1.102
1942	0.922
1943	1.203
1944	0.913
1945	1.081
1946	1.031
1947	1.491
1948	1.08
1949	1.073
1950	1.066
1951	1.116
1952	0.97
1953	1.106
1954	0.992
1955	1.042
1956	1.053
1957	1.094
1958	0.832
1959	0.897
1960	1.201
1961	1.063
1962	1.15
1963	1.337
1964	1.121
1965	1.275
1966	1.181
1967	0.851
1968	0.973
1969	0.985
1970	0.783
1971	0.954
1972	0.785
1973	0.927
1974	1.262
1975	1.096
1976	0.964
1977	0.871
1978	1.026
1979	1.045
1980	0.822
1981	1.042
1982	0.917
1983	0.817