# northamerica_canada_cana233 - Galloping Mountain - 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/5513
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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_cana233 - Galloping Mountain - 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: Galloping Mountain
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 49.9
#	Southernmost_Latitude: 49.9
#	Easternmost_Longitude: -118.37
#	Westernmost_Longitude: -118.37
#	Elevation: 2050 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana233B
#	Earliest_Year: 1842
#	Most_Recent_Year: 1997
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.75121164285","T2":"18.5760409219","M1":"0.0227194474233","M2":"0.354266552124"}}
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# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
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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
1842	0.908
1843	1.127
1844	0.776
1845	0.91
1846	0.843
1847	0.695
1848	0.948
1849	0.656
1850	0.678
1851	0.794
1852	0.828
1853	0.793
1854	0.594
1855	0.842
1856	0.689
1857	0.761
1858	0.861
1859	0.957
1860	1.003
1861	0.935
1862	0.956
1863	1.246
1864	0.759
1865	1.095
1866	1.14
1867	0.872
1868	1.05
1869	1.131
1870	0.848
1871	0.943
1872	0.956
1873	0.963
1874	0.942
1875	0.939
1876	0.724
1877	0.83
1878	0.896
1879	0.937
1880	0.67
1881	0.813
1882	0.958
1883	0.801
1884	0.7
1885	0.965
1886	0.984
1887	0.838
1888	0.854
1889	0.923
1890	0.958
1891	0.996
1892	0.951
1893	1.004
1894	0.964
1895	1.004
1896	1.098
1897	1.104
1898	1.235
1899	0.822
1900	0.936
1901	1.181
1902	1.096
1903	1.094
1904	1.223
1905	1.06
1906	0.928
1907	0.973
1908	1.23
1909	1.118
1910	1.119
1911	1.074
1912	1.041
1913	1.063
1914	1.18
1915	0.827
1916	0.919
1917	1.035
1918	1.336
1919	1.378
1920	1.184
1921	0.769
1922	0.877
1923	0.791
1924	0.866
1925	1.097
1926	1.057
1927	0.999
1928	1.0
1929	0.988
1930	1.022
1931	1.265
1932	1.275
1933	1.319
1934	1.211
1935	1.2
1936	1.632
1937	1.353
1938	1.666
1939	1.318
1940	1.547
1941	1.33
1942	1.025
1943	1.134
1944	1.283
1945	1.396
1946	1.09
1947	1.306
1948	1.294
1949	1.295
1950	1.442
1951	1.213
1952	1.186
1953	1.262
1954	1.216
1955	1.121
1956	0.972
1957	1.009
1958	1.386
1959	0.895
1960	1.077
1961	1.315
1962	1.02
1963	1.129
1964	0.955
1965	1.152
1966	1.095
1967	1.317
1968	0.823
1969	0.729
1970	1.0
1971	0.785
1972	0.653
1973	0.869
1974	0.724
1975	0.79
1976	0.711
1977	0.926
1978	0.859
1979	0.871
1980	0.784
1981	0.787
1982	0.664
1983	0.66
1984	0.755
1985	0.681
1986	0.575
1987	0.79
1988	0.773
1989	0.808
1990	0.8
1991	0.584
1992	0.745
1993	0.525
1994	0.921
1995	0.686
1996	0.566
1997	0.514