# europe_fran024 - Formigueres - 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/4413
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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_fran024 - Formigueres - 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: Formigueres
#	Location:
#	Country: France
#	Northernmost_Latitude: 42.6
#	Southernmost_Latitude: 42.6
#	Easternmost_Longitude: 2.07
#	Westernmost_Longitude: 2.07
#	Elevation: 1700 m
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# Data_Collection
#	Collection_Name: europe_fran024B
#	Earliest_Year: 1795
#	Most_Recent_Year: 1977
#	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":"4.83568996461","T2":"19.5893576981","M1":"0.021829362033","M2":"0.275054126046"}}
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# Species
#	Species_Name: silver fir
#	Species_Code: ABAL
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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
1795	1.508
1796	1.299
1797	1.33
1798	1.842
1799	1.686
1800	1.33
1801	1.335
1802	1.351
1803	1.034
1804	0.954
1805	1.382
1806	1.072
1807	1.074
1808	0.723
1809	1.11
1810	1.017
1811	1.005
1812	1.001
1813	0.989
1814	1.293
1815	1.127
1816	1.088
1817	1.2
1818	1.52
1819	1.357
1820	1.646
1821	1.782
1822	1.453
1823	1.352
1824	1.377
1825	1.559
1826	1.031
1827	1.302
1828	1.452
1829	1.361
1830	0.751
1831	1.477
1832	1.173
1833	1.202
1834	1.097
1835	1.126
1836	0.95
1837	0.97
1838	0.992
1839	0.902
1840	0.865
1841	0.944
1842	0.974
1843	1.31
1844	1.257
1845	1.165
1846	1.456
1847	1.076
1848	1.154
1849	1.044
1850	1.098
1851	1.082
1852	0.939
1853	0.801
1854	0.857
1855	0.774
1856	0.959
1857	0.743
1858	0.687
1859	0.973
1860	0.78
1861	1.028
1862	0.751
1863	0.785
1864	0.947
1865	0.633
1866	0.722
1867	0.678
1868	0.906
1869	0.909
1870	0.734
1871	0.719
1872	0.709
1873	0.691
1874	0.577
1875	0.521
1876	0.753
1877	0.753
1878	0.612
1879	0.495
1880	0.667
1881	0.702
1882	0.476
1883	0.662
1884	0.77
1885	0.659
1886	0.519
1887	0.478
1888	0.499
1889	0.711
1890	0.603
1891	0.661
1892	0.569
1893	0.444
1894	0.573
1895	0.485
1896	0.427
1897	0.557
1898	0.614
1899	0.485
1900	0.486
1901	0.56
1902	0.664
1903	0.752
1904	0.667
1905	0.705
1906	0.721
1907	0.694
1908	0.649
1909	0.682
1910	0.896
1911	1.018
1912	0.962
1913	1.159
1914	1.003
1915	0.985
1916	0.946
1917	0.975
1918	0.878
1919	0.842
1920	0.897
1921	0.936
1922	0.742
1923	0.819
1924	0.681
1925	0.767
1926	0.754
1927	0.728
1928	0.726
1929	0.618
1930	0.69
1931	0.709
1932	0.878
1933	0.677
1934	0.776
1935	0.992
1936	1.187
1937	1.006
1938	1.035
1939	1.188
1940	1.253
1941	1.119
1942	1.049
1943	1.16
1944	1.208
1945	1.087
1946	1.044
1947	1.134
1948	1.338
1949	1.557
1950	1.709
1951	1.55
1952	1.63
1953	1.569
1954	1.377
1955	1.549
1956	1.117
1957	1.163
1958	1.407
1959	1.511
1960	1.505
1961	1.22
1962	1.093
1963	0.865
1964	1.301
1965	1.162
1966	1.34
1967	1.261
1968	1.168
1969	0.979
1970	1.039
1971	1.083
1972	1.086
1973	1.198
1974	1.366
1975	1.421
1976	1.376
1977	1.011