# northamerica_canada_cana276 - NFOR, Wapusk National Park, Manitoba - 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/8522
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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
#--------------------
# Title
#	Study_Name: northamerica_canada_cana276 - NFOR, Wapusk National Park, Manitoba - Breitenmoser Tree Ring Chronology Data
#--------------------
# 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: NFOR, Wapusk National Park, Manitoba
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 58.53
#	Southernmost_Latitude: 58.53
#	Easternmost_Longitude: -93.47
#	Westernmost_Longitude: -93.47
#	Elevation: 17 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana276B
#	Earliest_Year: 1821
#	Most_Recent_Year: 2002
#	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":"4.63114471426","T2":"18.1095382248","M1":"0.0227779292425","M2":"0.385681355283"}}
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# Species
#	Species_Name: tamarack
#	Species_Code: LALA
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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
1821	0.942
1822	0.84
1823	0.94
1824	1.068
1825	0.511
1826	0.897
1827	1.241
1828	1.131
1829	1.031
1830	1.206
1831	1.314
1832	1.134
1833	1.042
1834	1.237
1835	1.084
1836	0.752
1837	0.514
1838	0.835
1839	1.019
1840	1.119
1841	0.763
1842	0.593
1843	0.583
1844	0.98
1845	0.998
1846	1.358
1847	1.495
1848	1.105
1849	1.031
1850	1.36
1851	1.007
1852	0.915
1853	0.861
1854	1.265
1855	1.303
1856	0.941
1857	0.73
1858	0.665
1859	0.799
1860	0.488
1861	0.616
1862	0.82
1863	0.71
1864	1.062
1865	1.068
1866	1.083
1867	0.707
1868	1.194
1869	0.712
1870	1.145
1871	1.124
1872	0.96
1873	0.896
1874	0.903
1875	1.142
1876	0.697
1877	0.966
1878	1.17
1879	0.764
1880	1.002
1881	0.872
1882	0.781
1883	0.945
1884	1.077
1885	0.931
1886	1.03
1887	1.332
1888	0.731
1889	0.501
1890	0.722
1891	0.799
1892	0.773
1893	0.848
1894	0.819
1895	0.944
1896	0.939
1897	0.72
1898	0.766
1899	1.014
1900	1.206
1901	1.133
1902	1.081
1903	1.216
1904	1.183
1905	0.857
1906	0.847
1907	0.943
1908	0.773
1909	0.943
1910	1.579
1911	1.266
1912	0.951
1913	1.055
1914	1.0
1915	0.853
1916	0.799
1917	1.15
1918	0.774
1919	0.976
1920	1.015
1921	1.263
1922	0.974
1923	1.112
1924	0.688
1925	0.828
1926	0.982
1927	1.07
1928	1.181
1929	0.87
1930	1.203
1931	1.341
1932	1.384
1933	1.336
1934	1.24
1935	0.967
1936	1.161
1937	0.884
1938	1.033
1939	1.189
1940	0.978
1941	1.231
1942	0.876
1943	1.031
1944	1.148
1945	0.854
1946	0.794
1947	1.515
1948	1.408
1949	1.01
1950	0.76
1951	1.009
1952	0.752
1953	0.809
1954	1.0
1955	1.071
1956	1.043
1957	1.168
1958	1.159
1959	1.204
1960	0.929
1961	1.201
1962	1.054
1963	1.25
1964	1.023
1965	0.762
1966	0.935
1967	1.129
1968	1.055
1969	1.078
1970	0.862
1971	0.728
1972	0.878
1973	0.514
1974	0.802
1975	0.475
1976	0.856
1977	0.899
1978	1.012
1979	0.945
1980	0.644
1981	0.855
1982	0.807
1983	0.979
1984	0.869
1985	0.702
1986	0.711
1987	0.856
1988	0.832
1989	0.986
1990	0.965
1991	0.963
1992	0.512
1993	0.574
1994	0.871
1995	1.046
1996	1.357
1997	0.837
1998	1.047
1999	1.05
2000	0.795
2001	1.096
2002	1.523