# europe_norw004 - Skibotn - 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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# 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
#--------------------
# Title
#	Study_Name: europe_norw004 - Skibotn - 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: Skibotn
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 69.25
#	Southernmost_Latitude: 69.25
#	Easternmost_Longitude: 20.58
#	Westernmost_Longitude: 20.58
#	Elevation: 80 m
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# Data_Collection
#	Collection_Name: europe_norw004B
#	Earliest_Year: 1797
#	Most_Recent_Year: 1978
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"4.175637286"}{"T2":"16.9760695911"}{"M1":"0.0223134266446"}{"M2":"0.394390356011"}
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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
1797	1.259
1798	1.258
1799	1.248
1800	0.965
1801	1.258
1802	1.198
1803	1.119
1804	1.299
1805	1.307
1806	0.807
1807	0.512
1808	0.529
1809	0.823
1810	0.829
1811	0.987
1812	0.814
1813	1.095
1814	0.962
1815	0.853
1816	0.733
1817	0.937
1818	0.981
1819	1.044
1820	0.748
1821	0.733
1822	1.023
1823	1.218
1824	1.122
1825	1.02
1826	1.33
1827	1.263
1828	1.575
1829	0.737
1830	0.936
1831	1.347
1832	1.049
1833	0.813
1834	0.793
1835	0.708
1836	1.141
1837	1.187
1838	1.402
1839	1.219
1840	1.183
1841	0.621
1842	0.445
1843	0.746
1844	1.003
1845	0.987
1846	1.104
1847	1.289
1848	1.295
1849	1.341
1850	1.521
1851	1.61
1852	1.262
1853	0.661
1854	0.611
1855	0.642
1856	0.8
1857	0.977
1858	1.418
1859	1.011
1860	0.949
1861	0.621
1862	0.644
1863	0.906
1864	0.938
1865	1.009
1866	1.169
1867	1.078
1868	1.034
1869	1.12
1870	1.313
1871	1.129
1872	1.135
1873	0.654
1874	0.565
1875	1.041
1876	1.146
1877	1.164
1878	1.048
1879	0.954
1880	0.533
1881	0.367
1882	0.768
1883	1.103
1884	1.291
1885	0.986
1886	1.08
1887	1.239
1888	1.281
1889	1.482
1890	1.746
1891	1.37
1892	1.054
1893	1.091
1894	1.251
1895	0.891
1896	0.731
1897	0.908
1898	0.649
1899	0.366
1900	0.449
1901	0.781
1902	0.674
1903	0.638
1904	0.685
1905	0.62
1906	0.709
1907	0.862
1908	0.876
1909	0.69
1910	1.103
1911	1.02
1912	0.864
1913	0.907
1914	0.978
1915	1.026
1916	1.206
1917	0.949
1918	0.963
1919	1.104
1920	1.346
1921	1.09
1922	0.756
1923	0.657
1924	0.856
1925	0.856
1926	0.681
1927	0.796
1928	0.632
1929	0.78
1930	1.343
1931	0.784
1932	0.8
1933	0.692
1934	0.805
1935	0.779
1936	0.9
1937	1.012
1938	0.851
1939	1.044
1940	1.137
1941	1.244
1942	0.88
1943	0.852
1944	0.719
1945	1.018
1946	1.039
1947	1.123
1948	1.422
1949	1.789
1950	1.762
1951	1.347
1952	1.197
1953	1.426
1954	0.944
1955	0.631
1956	0.644
1957	0.859
1958	0.856
1959	0.76
1960	0.662
1961	0.736
1962	0.986
1963	1.211
1964	1.508
1965	1.282
1966	1.144
1967	1.174
1968	1.045
1969	0.773
1970	0.879
1971	0.89
1972	0.912
1973	1.049
1974	1.1
1975	0.98
1976	1.074
1977	0.965
1978	0.871