# europe_germ001 - Odenthal Abt. 13 - 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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# Original_Source_URL:
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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_germ001 - Odenthal Abt. 13 - 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 Vaganov–Shashkin 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 4–6 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 model’s 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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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
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# Site_Information
#	Site_Name: Odenthal Abt. 13
#	Location:
#	Country: Germany
#	Northernmost_Latitude: 51.02
#	Southernmost_Latitude: 51.02
#	Easternmost_Longitude: 7.13
#	Westernmost_Longitude: 7.13
#	Elevation: 78 m
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# Data_Collection
#	Collection_Name: europe_germ001B
#	Earliest_Year: 1820
#	Most_Recent_Year: 1973
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"7.30527085782"}{"T2":"20.6564634783"}{"M1":"0.0229743899107"}{"M2":"0.367525300493"}
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# Species
#	Species_Name: English oak
#	Species_Code: QURO
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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
1820	0.574
1821	0.471
1822	0.691
1823	0.748
1824	0.853
1825	0.348
1826	0.702
1827	0.754
1828	0.954
1829	0.935
1830	0.759
1831	0.539
1832	0.676
1833	0.646
1834	0.948
1835	0.746
1836	0.458
1837	0.642
1838	0.309
1839	0.882
1840	1.594
1841	1.381
1842	1.383
1843	1.474
1844	1.266
1845	1.323
1846	1.57
1847	1.391
1848	1.558
1849	1.335
1850	1.422
1851	1.281
1852	0.987
1853	1.098
1854	0.844
1855	1.177
1856	1.008
1857	1.066
1858	1.026
1859	1.093
1860	1.039
1861	0.977
1862	1.07
1863	1.113
1864	0.739
1865	0.999
1866	0.779
1867	0.905
1868	0.77
1869	0.772
1870	1.058
1871	0.955
1872	0.536
1873	1.048
1874	0.979
1875	1.274
1876	0.787
1877	1.182
1878	1.299
1879	1.096
1880	0.613
1881	0.879
1882	0.687
1883	0.954
1884	1.425
1885	0.698
1886	0.776
1887	0.76
1888	0.693
1889	0.722
1890	0.756
1891	0.69
1892	0.995
1893	0.732
1894	0.74
1895	0.866
1896	0.843
1897	1.187
1898	1.146
1899	0.928
1900	0.778
1901	0.731
1902	0.855
1903	1.086
1904	0.879
1905	0.894
1906	0.751
1907	0.459
1908	0.562
1909	0.502
1910	1.129
1911	0.95
1912	1.084
1913	0.942
1914	1.003
1915	0.866
1916	0.542
1917	1.472
1918	1.252
1919	1.36
1920	1.185
1921	0.685
1922	1.195
1923	0.777
1924	1.142
1925	0.702
1926	0.547
1927	0.813
1928	0.627
1929	0.927
1930	0.757
1931	1.367
1932	1.209
1933	1.204
1934	1.083
1935	0.923
1936	1.506
1937	1.309
1938	1.218
1939	1.101
1940	0.747
1941	0.785
1942	0.647
1943	1.366
1944	1.142
1945	1.928
1946	1.413
1947	1.345
1948	0.906
1949	0.887
1950	1.303
1951	0.982
1952	0.965
1953	0.85
1954	0.779
1955	0.846
1956	0.561
1957	0.662
1958	0.871
1959	0.81
1960	0.772
1961	0.771
1962	0.923
1963	0.9
1964	1.129
1965	0.754
1966	0.814
1967	1.251
1968	1.085
1969	1.382
1970	1.306
1971	0.817
1972	0.91
1973	0.934