# europe_fran5 - Bois De Vanclusie - 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/5105
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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_fran5 - Bois De Vanclusie - 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: Bois De Vanclusie
#	Location:
#	Country: France
#	Northernmost_Latitude: 44.37
#	Southernmost_Latitude: 44.37
#	Easternmost_Longitude: 5.62
#	Westernmost_Longitude: 5.62
#	Elevation: 1100 m
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# Data_Collection
#	Collection_Name: europe_fran5B
#	Earliest_Year: 1810
#	Most_Recent_Year: 1979
#	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":"3.62056879164","T2":"13.24216865","M1":"0.0228469158346","M2":"0.601325424168"}}
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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
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age	trsgi
1810	1.001
1811	0.946
1812	0.834
1813	1.118
1814	1.264
1815	1.21
1816	1.093
1817	0.996
1818	1.197
1819	1.135
1820	0.845
1821	1.005
1822	0.738
1823	0.902
1824	0.733
1825	0.83
1826	0.851
1827	0.996
1828	0.882
1829	1.2
1830	0.978
1831	1.16
1832	0.885
1833	0.801
1834	0.986
1835	1.161
1836	0.897
1837	0.883
1838	0.957
1839	0.65
1840	0.834
1841	1.059
1842	1.057
1843	1.349
1844	1.136
1845	1.211
1846	1.394
1847	1.002
1848	1.079
1849	0.701
1850	0.991
1851	0.971
1852	1.119
1853	1.02
1854	1.499
1855	0.921
1856	1.124
1857	1.09
1858	0.895
1859	0.877
1860	0.876
1861	0.939
1862	0.911
1863	0.892
1864	0.919
1865	0.975
1866	1.069
1867	1.151
1868	1.099
1869	0.968
1870	0.598
1871	0.77
1872	0.981
1873	0.997
1874	1.073
1875	1.106
1876	0.987
1877	1.003
1878	1.372
1879	0.822
1880	1.109
1881	0.928
1882	1.015
1883	1.178
1884	1.072
1885	0.895
1886	0.92
1887	1.037
1888	1.112
1889	1.022
1890	0.921
1891	0.885
1892	0.972
1893	0.999
1894	1.043
1895	0.956
1896	1.067
1897	0.942
1898	0.874
1899	0.882
1900	0.787
1901	0.822
1902	0.766
1903	1.094
1904	1.135
1905	1.16
1906	0.725
1907	0.936
1908	1.122
1909	0.824
1910	1.033
1911	1.035
1912	1.136
1913	1.127
1914	1.579
1915	1.261
1916	1.101
1917	1.111
1918	0.759
1919	0.549
1920	0.802
1921	0.598
1922	0.623
1923	0.762
1924	0.792
1925	1.218
1926	1.175
1927	1.23
1928	1.111
1929	1.07
1930	1.511
1931	1.096
1932	1.43
1933	1.21
1934	1.085
1935	0.827
1936	0.876
1937	0.809
1938	0.953
1939	1.253
1940	1.294
1941	1.161
1942	0.706
1943	1.056
1944	1.135
1945	0.78
1946	0.95
1947	1.068
1948	1.189
1949	0.763
1950	0.492
1951	0.802
1952	0.595
1953	0.764
1954	0.848
1955	1.109
1956	0.9
1957	0.907
1958	1.002
1959	1.273
1960	0.957
1961	1.175
1962	0.678
1963	1.273
1964	1.126
1965	0.756
1966	1.034
1967	0.894
1968	1.03
1969	1.176
1970	0.836
1971	1.173
1972	1.008
1973	0.939
1974	0.617
1975	0.848
1976	0.762
1977	1.093
1978	0.935
1979	0.755