# europe_fran013 - L'Orgere B - 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/5108
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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: europe_fran013 - L'Orgere B - 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 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: L'Orgere B
#	Location:
#	Country: France
#	Northernmost_Latitude: 45.22
#	Southernmost_Latitude: 45.22
#	Easternmost_Longitude: 6.68
#	Westernmost_Longitude: 6.68
#	Elevation: 2100 m
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# Data_Collection
#	Collection_Name: europe_fran013B
#	Earliest_Year: 1798
#	Most_Recent_Year: 1973
#	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":"5.2368544211","T2":"15.5873989548","M1":"0.0227975837064","M2":"0.439549205742"}}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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
1798	1.022
1799	1.102
1800	1.003
1801	0.952
1802	0.951
1803	0.946
1804	0.827
1805	0.703
1806	0.853
1807	1.017
1808	1.049
1809	1.049
1810	0.921
1811	1.183
1812	1.06
1813	0.886
1814	1.057
1815	0.997
1816	0.937
1817	1.12
1818	0.979
1819	0.974
1820	1.075
1821	0.971
1822	0.982
1823	0.976
1824	1.046
1825	1.156
1826	1.026
1827	1.048
1828	1.032
1829	0.978
1830	0.9
1831	1.135
1832	0.982
1833	1.076
1834	1.049
1835	0.922
1836	0.872
1837	0.927
1838	0.703
1839	0.694
1840	0.791
1841	0.79
1842	1.089
1843	0.895
1844	1.116
1845	1.09
1846	1.523
1847	1.373
1848	1.326
1849	0.93
1850	0.919
1851	1.026
1852	0.956
1853	1.068
1854	0.953
1855	1.026
1856	1.097
1857	1.089
1858	0.869
1859	1.027
1860	0.772
1861	0.97
1862	0.62
1863	1.045
1864	0.857
1865	0.844
1866	0.905
1867	1.055
1868	1.091
1869	1.269
1870	0.671
1871	1.014
1872	0.926
1873	0.849
1874	0.964
1875	1.007
1876	1.188
1877	1.054
1878	1.07
1879	1.183
1880	0.883
1881	1.185
1882	1.212
1883	1.076
1884	1.191
1885	0.957
1886	0.769
1887	0.765
1888	0.469
1889	0.916
1890	0.943
1891	0.819
1892	1.139
1893	1.306
1894	0.852
1895	1.001
1896	0.87
1897	1.048
1898	0.932
1899	0.922
1900	0.95
1901	1.188
1902	0.915
1903	0.886
1904	0.928
1905	0.74
1906	0.582
1907	0.574
1908	0.901
1909	0.559
1910	0.849
1911	0.931
1912	0.729
1913	0.756
1914	0.98
1915	1.133
1916	1.004
1917	1.129
1918	0.875
1919	0.97
1920	1.065
1921	0.884
1922	0.804
1923	1.017
1924	0.867
1925	0.964
1926	0.947
1927	1.071
1928	0.896
1929	0.814
1930	0.806
1931	0.957
1932	1.098
1933	0.934
1934	0.918
1935	1.032
1936	1.082
1937	1.159
1938	1.062
1939	1.071
1940	1.061
1941	1.071
1942	0.977
1943	1.03
1944	0.823
1945	0.764
1946	1.034
1947	1.095
1948	0.669
1949	1.16
1950	0.905
1951	0.987
1952	1.023
1953	0.795
1954	0.95
1955	1.181
1956	0.874
1957	0.985
1958	1.198
1959	1.19
1960	1.235
1961	1.063
1962	0.921
1963	0.899
1964	1.329
1965	0.981
1966	1.282
1967	1.205
1968	0.914
1969	1.3
1970	1.245
1971	1.215
1972	0.98
1973	1.172