# europe_lith012 - Kunigiskiai - 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/5205
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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_lith012 - Kunigiskiai - 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: Kunigiskiai
#	Location:
#	Country: Lithuania
#	Northernmost_Latitude: 55.97
#	Southernmost_Latitude: 55.97
#	Easternmost_Longitude: 21.08
#	Westernmost_Longitude: 21.08
#	Elevation: 12 m
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# Data_Collection
#	Collection_Name: europe_lith012B
#	Earliest_Year: 1828
#	Most_Recent_Year: 2002
#	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":"3.88384101168","T2":"15.7531592453","M1":"0.0224293891371","M2":"0.496630856402"}}
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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
1828	1.162
1829	0.91
1830	0.893
1831	1.02
1832	0.992
1833	1.059
1834	1.073
1835	1.162
1836	1.172
1837	1.194
1838	0.972
1839	0.845
1840	0.908
1841	1.003
1842	0.925
1843	0.985
1844	1.013
1845	0.98
1846	1.264
1847	1.269
1848	1.106
1849	0.818
1850	0.828
1851	0.906
1852	0.743
1853	0.701
1854	0.756
1855	0.894
1856	0.981
1857	0.98
1858	0.936
1859	0.899
1860	1.02
1861	1.207
1862	0.989
1863	0.991
1864	0.903
1865	0.933
1866	0.981
1867	0.933
1868	1.042
1869	0.784
1870	0.739
1871	0.937
1872	0.992
1873	0.956
1874	0.809
1875	0.822
1876	0.82
1877	0.929
1878	0.983
1879	0.949
1880	0.914
1881	0.899
1882	0.85
1883	0.918
1884	1.081
1885	1.186
1886	1.018
1887	0.942
1888	0.834
1889	0.788
1890	1.047
1891	1.162
1892	1.005
1893	0.89
1894	1.022
1895	0.931
1896	1.037
1897	1.303
1898	1.276
1899	0.915
1900	0.867
1901	1.124
1902	1.071
1903	1.103
1904	1.133
1905	1.167
1906	1.275
1907	1.242
1908	1.125
1909	1.311
1910	1.295
1911	1.148
1912	1.125
1913	1.15
1914	1.004
1915	1.053
1916	1.209
1917	1.208
1918	1.221
1919	1.293
1920	0.931
1921	0.906
1922	0.976
1923	0.948
1924	0.953
1925	1.349
1926	1.23
1927	1.331
1928	1.303
1929	1.004
1930	1.037
1931	0.975
1932	1.077
1933	1.101
1934	1.029
1935	0.934
1936	0.894
1937	1.008
1938	1.223
1939	1.13
1940	0.761
1941	0.942
1942	0.93
1943	1.085
1944	1.119
1945	1.198
1946	1.264
1947	1.161
1948	1.21
1949	1.037
1950	0.996
1951	1.001
1952	0.963
1953	1.131
1954	1.129
1955	0.917
1956	0.694
1957	0.897
1958	0.887
1959	0.895
1960	0.855
1961	0.935
1962	0.785
1963	0.803
1964	0.898
1965	0.928
1966	0.847
1967	1.121
1968	0.682
1969	0.561
1970	0.718
1971	0.695
1972	0.793
1973	0.819
1974	0.946
1975	0.881
1976	0.785
1977	0.774
1978	0.877
1979	0.813
1980	0.848
1981	1.05
1982	0.886
1983	0.854
1984	0.807
1985	0.922
1986	0.894
1987	0.832
1988	0.825
1989	1.042
1990	0.945
1991	0.952
1992	0.811
1993	0.724
1994	0.688
1995	0.842
1996	0.808
1997	0.709
1998	0.823
1999	0.922
2000	0.854
2001	0.811
2002	0.68