# northamerica_canada_cana087 - Watson Lake - 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/4731
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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_cana087 - Watson Lake - 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
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# 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: Watson Lake
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 60.08
#	Southernmost_Latitude: 60.08
#	Easternmost_Longitude: -128.83
#	Westernmost_Longitude: -128.83
#	Elevation: 750 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana087B
#	Earliest_Year: 1830
#	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":"4.59410230346","T2":"13.1827905826","M1":"0.0229292921504","M2":"0.542081285688"}}
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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
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age	trsgi
1830	1.172
1831	1.312
1832	1.15
1833	1.167
1834	0.971
1835	1.135
1836	1.3
1837	1.089
1838	1.065
1839	0.939
1840	0.971
1841	1.149
1842	1.103
1843	0.908
1844	0.872
1845	0.855
1846	0.907
1847	1.021
1848	0.876
1849	1.234
1850	0.93
1851	1.139
1852	0.98
1853	1.16
1854	0.954
1855	1.143
1856	1.067
1857	1.175
1858	1.131
1859	0.904
1860	0.862
1861	1.035
1862	0.789
1863	1.055
1864	1.044
1865	0.959
1866	1.039
1867	1.237
1868	1.006
1869	0.836
1870	1.066
1871	0.96
1872	1.102
1873	1.064
1874	1.28
1875	1.151
1876	1.028
1877	1.102
1878	0.776
1879	0.934
1880	1.107
1881	1.218
1882	1.236
1883	1.102
1884	1.043
1885	0.954
1886	1.059
1887	0.91
1888	0.939
1889	0.891
1890	1.004
1891	1.124
1892	1.048
1893	1.103
1894	1.107
1895	1.027
1896	1.041
1897	1.026
1898	0.934
1899	1.032
1900	0.943
1901	0.988
1902	1.078
1903	0.898
1904	1.03
1905	1.021
1906	0.785
1907	0.903
1908	0.777
1909	0.928
1910	0.922
1911	1.003
1912	0.796
1913	0.771
1914	0.869
1915	1.161
1916	0.992
1917	1.116
1918	1.035
1919	0.948
1920	0.634
1921	0.976
1922	0.936
1923	1.001
1924	0.871
1925	0.973
1926	1.064
1927	1.066
1928	0.767
1929	0.993
1930	1.32
1931	1.007
1932	1.189
1933	1.15
1934	1.156
1935	1.02
1936	1.006
1937	0.935
1938	1.016
1939	1.012
1940	1.037
1941	1.045
1942	0.831
1943	1.012
1944	0.843
1945	0.785
1946	0.608
1947	0.805
1948	0.536
1949	0.748
1950	0.625
1951	0.532
1952	0.367
1953	0.564
1954	0.673
1955	0.958
1956	0.976
1957	0.992
1958	0.739
1959	0.734
1960	0.993
1961	1.169
1962	1.212
1963	1.507
1964	1.244
1965	1.469
1966	1.527
1967	1.138
1968	1.252
1969	1.108
1970	1.07
1971	1.207
1972	1.102
1973	1.061
1974	1.013
1975	0.94
1976	0.771
1977	1.01
1978	0.75
1979	0.94
1980	0.843
1981	1.032
1982	0.908
1983	0.675