# europe_fran020 - Pic Aubas - 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/4585
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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_fran020 - Pic Aubas - 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:
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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: Pic Aubas
#	Location:
#	Country: France
#	Northernmost_Latitude: 42.77
#	Southernmost_Latitude: 42.77
#	Easternmost_Longitude: 0.62
#	Westernmost_Longitude: 0.62
#	Elevation: 1800 m
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# Data_Collection
#	Collection_Name: europe_fran020B
#	Earliest_Year: 1797
#	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":"4.69220032085","T2":"15.7165069528","M1":"0.022296752545","M2":"0.458806479931"}}
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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
1797	0.937
1798	0.852
1799	0.785
1800	1.006
1801	1.319
1802	1.402
1803	1.334
1804	1.054
1805	1.388
1806	1.162
1807	1.163
1808	0.838
1809	0.864
1810	0.803
1811	0.901
1812	0.735
1813	0.644
1814	0.75
1815	0.623
1816	0.619
1817	0.783
1818	1.159
1819	1.094
1820	0.906
1821	0.94
1822	0.845
1823	1.006
1824	0.906
1825	1.174
1826	0.846
1827	0.883
1828	1.042
1829	1.073
1830	0.585
1831	1.166
1832	0.75
1833	0.73
1834	0.909
1835	1.137
1836	0.932
1837	0.692
1838	0.754
1839	0.883
1840	0.978
1841	0.945
1842	0.945
1843	0.856
1844	0.865
1845	1.036
1846	1.369
1847	0.853
1848	1.161
1849	0.869
1850	1.045
1851	0.948
1852	1.054
1853	1.022
1854	1.043
1855	0.996
1856	1.239
1857	1.2
1858	1.086
1859	1.311
1860	1.109
1861	1.333
1862	0.941
1863	1.116
1864	1.248
1865	1.132
1866	1.358
1867	1.106
1868	0.991
1869	1.028
1870	0.927
1871	0.881
1872	1.141
1873	1.203
1874	1.142
1875	0.846
1876	1.024
1877	1.059
1878	1.302
1879	1.135
1880	1.307
1881	1.29
1882	1.209
1883	1.067
1884	1.29
1885	1.109
1886	0.981
1887	1.081
1888	0.71
1889	0.874
1890	0.808
1891	0.737
1892	0.95
1893	1.016
1894	0.962
1895	1.016
1896	0.733
1897	0.846
1898	0.858
1899	0.672
1900	0.634
1901	0.749
1902	1.0
1903	1.211
1904	1.183
1905	1.216
1906	1.065
1907	1.055
1908	0.984
1909	0.984
1910	1.074
1911	1.033
1912	0.876
1913	1.248
1914	1.251
1915	1.215
1916	1.304
1917	1.162
1918	1.116
1919	1.029
1920	1.133
1921	1.092
1922	0.833
1923	1.15
1924	1.01
1925	1.062
1926	1.125
1927	1.079
1928	1.173
1929	1.089
1930	1.019
1931	0.864
1932	1.054
1933	0.955
1934	0.826
1935	0.953
1936	1.094
1937	1.143
1938	0.967
1939	0.909
1940	0.909
1941	0.99
1942	0.914
1943	1.007
1944	0.934
1945	0.854
1946	1.145
1947	0.955
1948	0.852
1949	0.784
1950	0.757
1951	0.807
1952	1.193
1953	1.165
1954	0.949
1955	1.111
1956	0.638
1957	0.774
1958	0.838
1959	0.925
1960	0.967
1961	1.071
1962	0.839
1963	0.7
1964	0.806
1965	0.709
1966	0.87
1967	0.929
1968	0.92
1969	0.825
1970	0.888
1971	0.902
1972	0.919
1973	1.203
1974	1.089
1975	0.932
1976	0.732
1977	0.66