# northamerica_canada_cana083 - Kathleen Lake - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/4456
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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_cana083 - Kathleen Lake - 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: Kathleen Lake
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 60.42
#	Southernmost_Latitude: 60.42
#	Easternmost_Longitude: -137.17
#	Westernmost_Longitude: -137.17
#	Elevation: 780 m
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# Data_Collection
#	Collection_Name: northamerica_canada_cana083B
#	Earliest_Year: 1777
#	Most_Recent_Year: 1983
#	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":"3.23887863911","T2":"15.890249285","M1":"0.0224692283226","M2":"0.451934486067"}}
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# Species
#	Species_Name: black spruce
#	Species_Code: PCMA
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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
1777	0.949
1778	0.842
1779	1.034
1780	0.72
1781	0.879
1782	0.95
1783	0.847
1784	0.878
1785	1.117
1786	1.227
1787	1.269
1788	0.864
1789	1.104
1790	0.964
1791	0.834
1792	0.925
1793	0.994
1794	1.117
1795	1.103
1796	0.916
1797	1.069
1798	0.919
1799	0.84
1800	0.977
1801	1.026
1802	1.06
1803	0.951
1804	0.885
1805	1.117
1806	1.155
1807	0.943
1808	1.047
1809	0.816
1810	0.801
1811	0.87
1812	0.793
1813	0.785
1814	0.701
1815	0.813
1816	0.868
1817	0.676
1818	0.723
1819	0.833
1820	0.874
1821	0.839
1822	0.683
1823	0.861
1824	0.805
1825	0.764
1826	0.948
1827	0.967
1828	0.958
1829	0.998
1830	0.992
1831	0.905
1832	1.007
1833	1.075
1834	1.142
1835	1.161
1836	1.257
1837	1.037
1838	1.084
1839	1.068
1840	1.08
1841	1.264
1842	1.514
1843	1.175
1844	1.233
1845	1.072
1846	1.069
1847	0.96
1848	1.114
1849	0.931
1850	0.835
1851	1.089
1852	1.034
1853	0.974
1854	1.056
1855	1.044
1856	0.919
1857	1.271
1858	1.207
1859	1.172
1860	1.226
1861	1.105
1862	1.166
1863	1.231
1864	1.133
1865	1.139
1866	1.051
1867	0.941
1868	0.935
1869	0.859
1870	0.93
1871	0.927
1872	0.814
1873	1.06
1874	1.164
1875	1.052
1876	1.204
1877	1.129
1878	1.167
1879	0.808
1880	0.898
1881	0.999
1882	1.059
1883	0.825
1884	0.828
1885	0.722
1886	0.764
1887	0.687
1888	0.881
1889	0.656
1890	0.937
1891	0.956
1892	1.184
1893	1.227
1894	1.264
1895	1.063
1896	1.197
1897	1.081
1898	0.912
1899	1.024
1900	0.929
1901	1.076
1902	1.068
1903	0.99
1904	0.881
1905	1.322
1906	1.082
1907	1.137
1908	1.198
1909	1.096
1910	1.031
1911	1.069
1912	0.866
1913	1.122
1914	1.097
1915	1.281
1916	0.831
1917	0.89
1918	0.997
1919	0.717
1920	0.904
1921	1.004
1922	1.056
1923	1.03
1924	0.874
1925	1.001
1926	0.895
1927	1.115
1928	1.127
1929	1.085
1930	1.147
1931	0.918
1932	0.786
1933	1.088
1934	1.149
1935	1.005
1936	1.356
1937	1.148
1938	1.28
1939	1.25
1940	1.104
1941	0.882
1942	1.209
1943	1.241
1944	1.188
1945	1.063
1946	1.033
1947	1.016
1948	0.951
1949	0.767
1950	1.033
1951	0.847
1952	0.625
1953	0.795
1954	0.839
1955	0.911
1956	0.916
1957	0.933
1958	0.688
1959	1.054
1960	1.049
1961	0.975
1962	0.787
1963	0.883
1964	0.887
1965	0.967
1966	0.952
1967	0.92
1968	1.106
1969	1.058
1970	0.835
1971	1.005
1972	0.776
1973	0.585
1974	0.675
1975	0.806
1976	0.867
1977	0.694
1978	0.476
1979	0.783
1980	0.71
1981	0.685
1982	0.689
1983	0.782