# europe_spai014 - Navafria II - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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_spai014 - Navafria II - 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: Navafria II
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 41.02
#	Southernmost_Latitude: 41.02
#	Easternmost_Longitude: -0.12
#	Westernmost_Longitude: -0.12
#	Elevation: 1630 m
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# Data_Collection
#	Collection_Name: europe_spai014B
#	Earliest_Year: 1820
#	Most_Recent_Year: 1992
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"5.53614236949"}{"T2":"17.8873568011"}{"M1":"0.0223147187147"}{"M2":"0.292855824972"}
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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)
#
##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	0.759
1821	0.747
1822	0.919
1823	0.941
1824	0.793
1825	0.913
1826	0.773
1827	0.7
1828	0.794
1829	0.831
1830	0.858
1831	0.745
1832	0.769
1833	0.681
1834	0.95
1835	0.935
1836	0.932
1837	0.743
1838	0.825
1839	0.749
1840	0.658
1841	1.042
1842	0.57
1843	0.686
1844	0.728
1845	0.736
1846	0.856
1847	0.669
1848	0.709
1849	0.776
1850	0.802
1851	0.773
1852	0.714
1853	0.652
1854	0.872
1855	0.837
1856	0.926
1857	0.955
1858	1.066
1859	1.047
1860	0.798
1861	0.854
1862	0.801
1863	0.738
1864	0.907
1865	0.771
1866	1.087
1867	1.03
1868	0.859
1869	1.091
1870	0.701
1871	0.965
1872	0.835
1873	0.87
1874	0.739
1875	0.688
1876	0.716
1877	0.807
1878	0.885
1879	0.629
1880	0.818
1881	0.86
1882	0.738
1883	0.756
1884	0.939
1885	1.251
1886	1.245
1887	1.07
1888	1.434
1889	1.591
1890	1.428
1891	1.519
1892	1.554
1893	1.985
1894	1.422
1895	1.708
1896	1.843
1897	1.466
1898	1.515
1899	1.953
1900	1.403
1901	1.225
1902	1.619
1903	2.034
1904	1.486
1905	1.513
1906	1.265
1907	1.026
1908	0.923
1909	0.987
1910	0.849
1911	0.967
1912	1.09
1913	0.877
1914	1.39
1915	1.05
1916	0.909
1917	0.79
1918	0.876
1919	0.874
1920	1.024
1921	0.837
1922	1.049
1923	1.209
1924	0.693
1925	1.022
1926	1.103
1927	0.908
1928	0.936
1929	0.873
1930	1.03
1931	1.081
1932	1.269
1933	1.324
1934	0.878
1935	0.896
1936	0.983
1937	0.815
1938	0.604
1939	0.729
1940	1.278
1941	0.917
1942	0.77
1943	1.053
1944	1.105
1945	0.958
1946	0.959
1947	0.865
1948	0.934
1949	0.897
1950	1.007
1951	1.224
1952	1.582
1953	1.133
1954	0.701
1955	0.695
1956	0.715
1957	0.975
1958	1.077
1959	1.238
1960	0.821
1961	1.207
1962	0.868
1963	0.519
1964	0.911
1965	0.48
1966	0.631
1967	0.654
1968	0.68
1969	0.682
1970	0.701
1971	0.805
1972	0.633
1973	1.047
1974	0.699
1975	0.708
1976	0.982
1977	1.015
1978	0.857
1979	0.774
1980	0.917
1981	0.814
1982	0.788
1983	0.766
1984	0.682
1985	0.611
1986	0.45
1987	0.652
1988	0.785
1989	0.841
1990	0.761
1991	0.567
1992	1.104