# europe_fran035 - Lac Miroir - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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/3923
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_fran035 - Lac Miroir - 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.
#--------------------
#	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: Lac Miroir
#	Location:
#	Country: France
#	Northernmost_Latitude: 44.63
#	Southernmost_Latitude: 44.63
#	Easternmost_Longitude: 6.78
#	Westernmost_Longitude: 6.78
#	Elevation: 2300 m
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# Data_Collection
#	Collection_Name: europe_fran035B
#	Earliest_Year: 1716
#	Most_Recent_Year: 2000
#	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":"4.88109926936","T2":"17.0177973607","M1":"0.0225814817913","M2":"0.399114114799"}}
#--------------------
# Species
#	Species_Name: Swiss stone pine
#	Species_Code: PICE
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# Chronology:
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# Variables
#
# 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)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1716	1.024
1717	1.038
1718	0.985
1719	1.147
1720	1.118
1721	1.059
1722	1.022
1723	0.992
1724	0.878
1725	1.225
1726	1.175
1727	1.416
1728	1.0
1729	1.158
1730	1.014
1731	1.016
1732	0.819
1733	0.994
1734	0.949
1735	0.996
1736	1.051
1737	1.199
1738	1.302
1739	1.316
1740	1.228
1741	1.051
1742	0.982
1743	0.976
1744	0.841
1745	0.894
1746	1.071
1747	1.177
1748	1.06
1749	1.113
1750	1.038
1751	0.996
1752	1.031
1753	1.076
1754	1.0
1755	0.969
1756	1.028
1757	1.064
1758	0.961
1759	0.957
1760	0.841
1761	0.833
1762	0.954
1763	0.941
1764	0.891
1765	0.847
1766	0.801
1767	0.918
1768	0.97
1769	0.751
1770	0.913
1771	0.841
1772	0.886
1773	0.958
1774	0.949
1775	0.945
1776	0.871
1777	0.871
1778	0.897
1779	0.951
1780	0.921
1781	0.976
1782	0.969
1783	1.099
1784	1.107
1785	1.205
1786	1.25
1787	1.219
1788	1.192
1789	1.268
1790	1.107
1791	1.086
1792	0.987
1793	1.093
1794	1.142
1795	1.048
1796	1.107
1797	1.155
1798	1.07
1799	1.01
1800	1.036
1801	1.137
1802	1.093
1803	0.994
1804	1.055
1805	0.977
1806	0.98
1807	1.027
1808	0.954
1809	0.941
1810	0.841
1811	0.99
1812	0.968
1813	0.829
1814	0.807
1815	0.867
1816	0.865
1817	0.822
1818	0.671
1819	0.705
1820	0.608
1821	0.565
1822	0.567
1823	0.474
1824	0.542
1825	0.503
1826	0.579
1827	0.589
1828	0.546
1829	0.593
1830	0.549
1831	0.594
1832	0.585
1833	0.631
1834	0.679
1835	0.566
1836	0.584
1837	0.622
1838	0.649
1839	0.742
1840	0.655
1841	0.763
1842	0.761
1843	0.867
1844	0.762
1845	0.818
1846	0.973
1847	0.939
1848	0.979
1849	0.96
1850	0.855
1851	0.98
1852	0.956
1853	1.036
1854	0.869
1855	0.844
1856	1.028
1857	1.059
1858	0.987
1859	0.803
1860	1.009
1861	0.942
1862	0.939
1863	0.778
1864	0.845
1865	0.953
1866	1.062
1867	0.961
1868	1.071
1869	1.144
1870	1.373
1871	1.327
1872	1.299
1873	1.35
1874	1.316
1875	1.374
1876	1.307
1877	1.538
1878	1.34
1879	1.411
1880	1.284
1881	1.188
1882	0.989
1883	1.148
1884	1.161
1885	1.048
1886	1.189
1887	0.883
1888	1.149
1889	1.039
1890	1.137
1891	1.023
1892	1.048
1893	1.081
1894	1.111
1895	0.962
1896	1.014
1897	0.982
1898	0.9
1899	0.933
1900	0.952
1901	0.961
1902	1.022
1903	0.915
1904	1.046
1905	0.936
1906	0.914
1907	0.892
1908	0.822
1909	0.755
1910	0.817
1911	0.887
1912	0.881
1913	0.979
1914	0.866
1915	0.819
1916	0.838
1917	0.714
1918	0.804
1919	0.708
1920	0.834
1921	0.731
1922	0.828
1923	0.916
1924	0.829
1925	0.86
1926	0.826
1927	0.973
1928	0.984
1929	0.932
1930	0.891
1931	0.957
1932	1.124
1933	0.799
1934	0.814
1935	1.016
1936	0.887
1937	0.878
1938	1.053
1939	1.1
1940	0.998
1941	0.804
1942	0.951
1943	0.901
1944	0.958
1945	1.003
1946	0.981
1947	1.056
1948	1.009
1949	1.057
1950	1.067
1951	1.167
1952	1.183
1953	1.198
1954	1.108
1955	1.068
1956	1.215
1957	1.027
1958	1.015
1959	1.092
1960	1.154
1961	1.213
1962	0.998
1963	1.186
1964	1.077
1965	1.119
1966	1.057
1967	1.188
1968	1.173
1969	1.055
1970	1.133
1971	1.11
1972	0.958
1973	1.11
1974	1.026
1975	1.087
1976	0.861
1977	1.099
1978	0.887
1979	1.032
1980	1.095
1981	0.872
1982	0.842
1983	0.955
1984	0.962
1985	0.89
1986	1.002
1987	1.205
1988	1.131
1989	1.062
1990	1.052
1991	1.202
1992	1.22
1993	1.042
1994	1.212
1995	1.506
1996	1.526
1997	1.375
1998	1.121
1999	1.163
2000	1.343