# europe_swed018 - Kaaresuvanto EnontekiÃÂ¶ - 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/3986
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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: europe_swed018 - Kaaresuvanto EnontekiÃÂ¶ - 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:
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#	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: Kaaresuvanto EnontekiÃÂ¶
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 68.48
#	Southernmost_Latitude: 68.48
#	Easternmost_Longitude: 22.15
#	Westernmost_Longitude: 22.15
#	Elevation: 350 m
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# Data_Collection
#	Collection_Name: europe_swed018B
#	Earliest_Year: 1837
#	Most_Recent_Year: 1992
#	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":"7.06180253784","T2":"19.9278038201","M1":"0.0220383477443","M2":"0.221641913976"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1837	0.52
1838	0.551
1839	0.351
1840	0.326
1841	0.374
1842	0.618
1843	0.594
1844	0.694
1845	0.639
1846	0.767
1847	0.831
1848	0.872
1849	0.916
1850	0.745
1851	0.951
1852	1.054
1853	0.966
1854	1.126
1855	1.146
1856	0.867
1857	0.721
1858	0.715
1859	0.695
1860	0.833
1861	0.851
1862	0.858
1863	0.814
1864	0.846
1865	0.935
1866	0.969
1867	0.854
1868	0.741
1869	0.561
1870	0.634
1871	0.765
1872	1.083
1873	0.98
1874	0.797
1875	1.011
1876	1.08
1877	0.973
1878	0.71
1879	0.756
1880	0.711
1881	0.564
1882	0.842
1883	0.895
1884	0.75
1885	0.817
1886	1.101
1887	1.135
1888	0.846
1889	0.919
1890	1.176
1891	1.19
1892	0.788
1893	0.726
1894	0.936
1895	1.2
1896	0.957
1897	1.043
1898	1.229
1899	0.977
1900	0.833
1901	1.435
1902	0.83
1903	0.474
1904	0.584
1905	0.586
1906	0.708
1907	0.786
1908	0.943
1909	0.637
1910	0.655
1911	0.623
1912	0.909
1913	0.95
1914	1.105
1915	1.144
1916	1.127
1917	0.884
1918	1.278
1919	1.261
1920	1.289
1921	1.161
1922	1.422
1923	1.438
1924	1.553
1925	1.661
1926	1.339
1927	1.405
1928	0.971
1929	0.94
1930	1.631
1931	1.051
1932	0.922
1933	1.177
1934	1.48
1935	1.043
1936	0.83
1937	1.34
1938	1.072
1939	0.836
1940	0.853
1941	1.222
1942	0.995
1943	0.919
1944	0.952
1945	0.879
1946	0.626
1947	0.94
1948	1.131
1949	1.058
1950	1.158
1951	1.013
1952	1.005
1953	1.248
1954	1.158
1955	1.002
1956	0.937
1957	1.126
1958	0.877
1959	1.137
1960	1.238
1961	0.804
1962	0.981
1963	0.737
1964	1.203
1965	0.857
1966	0.887
1967	0.94
1968	0.914
1969	1.049
1970	0.996
1971	0.812
1972	0.954
1973	1.052
1974	0.849
1975	0.878
1976	1.124
1977	0.941
1978	0.867
1979	1.125
1980	1.056
1981	0.8
1982	0.991
1983	1.023
1984	0.809
1985	1.074
1986	0.908
1987	0.757
1988	0.892
1989	0.842
1990	0.772
1991	0.759
1992	0.739