# northamerica_canada_cana224 - Revelstoke - 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/5527
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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_cana224 - Revelstoke - 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: Revelstoke
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 51.17
#	Southernmost_Latitude: 51.17
#	Easternmost_Longitude: -118.13
#	Westernmost_Longitude: -118.13
#	Elevation: 2000 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana224B
#	Earliest_Year: 1792
#	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":"5.56703610854","T2":"17.7225015782","M1":"0.0224259041348","M2":"0.372022447806"}}
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# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
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# Chronology:
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# Variables
#
# 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
1792	1.113
1793	1.086
1794	1.229
1795	1.132
1796	1.256
1797	1.196
1798	1.309
1799	0.94
1800	1.062
1801	1.169
1802	0.805
1803	1.029
1804	1.1
1805	1.136
1806	1.053
1807	1.009
1808	1.115
1809	1.088
1810	0.91
1811	1.181
1812	0.993
1813	0.979
1814	0.78
1815	0.834
1816	0.911
1817	1.128
1818	0.963
1819	0.898
1820	1.115
1821	0.818
1822	0.798
1823	0.947
1824	0.702
1825	0.841
1826	0.89
1827	0.895
1828	0.969
1829	1.172
1830	1.006
1831	1.213
1832	0.699
1833	0.773
1834	1.013
1835	0.877
1836	0.829
1837	0.878
1838	0.442
1839	1.041
1840	1.066
1841	1.1
1842	0.985
1843	1.01
1844	0.608
1845	0.684
1846	0.948
1847	0.707
1848	1.054
1849	0.748
1850	1.06
1851	1.188
1852	1.035
1853	0.94
1854	0.794
1855	0.967
1856	0.804
1857	0.791
1858	0.886
1859	0.938
1860	0.77
1861	0.863
1862	0.877
1863	1.187
1864	0.842
1865	1.118
1866	0.974
1867	0.769
1868	0.879
1869	0.938
1870	0.877
1871	1.012
1872	0.907
1873	0.89
1874	0.849
1875	1.054
1876	0.817
1877	0.828
1878	0.976
1879	0.855
1880	0.899
1881	0.833
1882	1.04
1883	1.009
1884	0.893
1885	1.273
1886	1.162
1887	1.034
1888	0.931
1889	0.983
1890	1.03
1891	1.041
1892	0.884
1893	1.049
1894	0.876
1895	0.898
1896	1.155
1897	1.313
1898	1.412
1899	0.786
1900	0.913
1901	1.216
1902	0.898
1903	1.042
1904	1.168
1905	0.953
1906	0.838
1907	0.847
1908	1.036
1909	0.94
1910	0.929
1911	0.912
1912	0.987
1913	1.089
1914	1.008
1915	0.811
1916	0.767
1917	1.053
1918	1.367
1919	1.15
1920	1.017
1921	0.874
1922	1.137
1923	1.038
1924	1.098
1925	1.265
1926	1.031
1927	1.061
1928	1.19
1929	0.913
1930	1.005
1931	0.936
1932	0.926
1933	1.143
1934	1.009
1935	1.13
1936	1.394
1937	1.096
1938	1.212
1939	0.87
1940	1.083
1941	1.066
1942	0.915
1943	1.077
1944	1.399
1945	1.336
1946	0.929
1947	1.094
1948	1.21
1949	1.1
1950	1.253
1951	1.073
1952	1.052
1953	1.081
1954	1.051
1955	1.223
1956	0.957
1957	0.85
1958	1.464
1959	0.978
1960	1.052
1961	1.032
1962	0.829
1963	1.102
1964	0.962
1965	1.152
1966	1.044
1967	1.271
1968	0.755
1969	0.823
1970	1.178
1971	0.86
1972	0.611
1973	0.95
1974	0.722
1975	0.947
1976	0.75
1977	0.926
1978	0.91
1979	0.897
1980	0.767
1981	0.859
1982	0.756
1983	0.739
1984	0.961
1985	1.016
1986	0.645
1987	1.107
1988	0.956
1989	1.103
1990	0.922
1991	0.624
1992	1.038
1993	0.707
1994	1.274
1995	0.95
1996	0.873
1997	0.721