# europe_neth033 - Oisterwijkse Vennen - 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_neth033 - Oisterwijkse Vennen - 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: Oisterwijkse Vennen
#	Location:
#	Country: Netherlands
#	Northernmost_Latitude: 51.58
#	Southernmost_Latitude: 51.58
#	Easternmost_Longitude: 5.25
#	Westernmost_Longitude: 5.25
#	Elevation: 8 m
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# Data_Collection
#	Collection_Name: europe_neth033B
#	Earliest_Year: 1809
#	Most_Recent_Year: 1989
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"5.0802413412"}{"T2":"16.2471940824"}{"M1":"0.0227120061157"}{"M2":"0.436755229047"}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1809	1.083
1810	0.905
1811	1.069
1812	1.194
1813	1.196
1814	1.029
1815	0.906
1816	0.845
1817	0.662
1818	0.703
1819	0.641
1820	0.704
1821	0.685
1822	0.613
1823	0.726
1824	0.774
1825	1.087
1826	1.146
1827	1.224
1828	1.393
1829	1.467
1830	1.432
1831	1.073
1832	1.224
1833	1.222
1834	1.396
1835	1.405
1836	1.535
1837	1.394
1838	1.479
1839	1.466
1840	1.631
1841	1.231
1842	0.937
1843	0.505
1844	0.612
1845	0.575
1846	0.669
1847	0.686
1848	0.78
1849	0.862
1850	0.542
1851	0.622
1852	0.604
1853	0.591
1854	0.675
1855	0.681
1856	0.768
1857	0.741
1858	0.77
1859	0.649
1860	0.556
1861	0.603
1862	0.656
1863	0.798
1864	1.109
1865	0.693
1866	0.731
1867	0.898
1868	1.113
1869	0.918
1870	1.024
1871	0.93
1872	1.015
1873	1.128
1874	1.321
1875	1.337
1876	1.391
1877	1.161
1878	0.911
1879	0.835
1880	0.842
1881	0.762
1882	0.74
1883	0.808
1884	0.835
1885	0.756
1886	0.664
1887	0.57
1888	0.702
1889	0.664
1890	0.735
1891	0.776
1892	0.671
1893	0.843
1894	0.904
1895	0.861
1896	0.82
1897	0.451
1898	0.534
1899	0.52
1900	0.609
1901	0.607
1902	0.622
1903	0.657
1904	0.652
1905	0.518
1906	0.444
1907	0.477
1908	0.496
1909	0.52
1910	0.556
1911	0.604
1912	0.817
1913	1.008
1914	1.003
1915	1.102
1916	1.078
1917	1.062
1918	0.806
1919	0.751
1920	0.92
1921	0.909
1922	0.719
1923	0.767
1924	1.078
1925	1.488
1926	1.424
1927	1.543
1928	1.453
1929	1.316
1930	1.058
1931	1.009
1932	1.303
1933	1.41
1934	1.203
1935	1.239
1936	1.134
1937	1.347
1938	1.324
1939	1.014
1940	1.076
1941	1.421
1942	1.456
1943	1.867
1944	1.661
1945	1.562
1946	1.362
1947	1.391
1948	1.285
1949	1.421
1950	1.43
1951	1.43
1952	1.451
1953	1.285
1954	0.985
1955	0.927
1956	1.026
1957	1.082
1958	0.745
1959	0.543
1960	0.65
1961	0.879
1962	1.078
1963	1.031
1964	1.36
1965	1.771
1966	1.618
1967	1.254
1968	0.98
1969	0.739
1970	0.586
1971	0.841
1972	0.956
1973	0.834
1974	0.842
1975	0.762
1976	0.585
1977	0.593
1978	0.826
1979	0.75
1980	0.851
1981	1.193
1982	1.209
1983	0.736
1984	0.588
1985	0.529
1986	0.585
1987	0.786
1988	0.897
1989	1.056