# europe_brit011 - Blickling - 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_brit011 - Blickling - 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: Blickling
#	Location:
#	Country: United Kingdom
#	Northernmost_Latitude: 52.82
#	Southernmost_Latitude: 52.82
#	Easternmost_Longitude: -1.22
#	Westernmost_Longitude: -1.22
#	Elevation: 40 m
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# Data_Collection
#	Collection_Name: europe_brit011B
#	Earliest_Year: 1762
#	Most_Recent_Year: 1979
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"7.30614690496"}{"T2":"14.4510328483"}{"M1":"0.0226480253039"}{"M2":"0.554636347183"}
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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)
#
##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
1762	1.075
1763	1.226
1764	1.308
1765	1.564
1766	1.087
1767	1.067
1768	1.476
1769	1.223
1770	1.103
1771	1.049
1772	1.125
1773	0.914
1774	0.679
1775	1.075
1776	1.282
1777	1.365
1778	1.051
1779	0.834
1780	0.807
1781	0.69
1782	0.88
1783	0.932
1784	0.966
1785	0.935
1786	0.918
1787	1.273
1788	1.229
1789	1.111
1790	1.007
1791	0.916
1792	0.722
1793	0.661
1794	0.651
1795	0.521
1796	0.545
1797	0.948
1798	1.065
1799	0.848
1800	0.842
1801	0.456
1802	0.442
1803	0.469
1804	0.657
1805	0.742
1806	0.737
1807	0.614
1808	0.815
1809	0.737
1810	1.053
1811	1.112
1812	0.948
1813	1.027
1814	0.944
1815	0.792
1816	0.805
1817	0.798
1818	0.987
1819	0.985
1820	1.079
1821	0.8
1822	0.962
1823	1.009
1824	0.991
1825	1.059
1826	0.972
1827	0.892
1828	0.943
1829	1.233
1830	1.275
1831	1.309
1832	0.826
1833	0.957
1834	1.228
1835	0.914
1836	0.881
1837	1.088
1838	0.765
1839	0.626
1840	0.369
1841	0.739
1842	1.048
1843	0.904
1844	0.685
1845	0.961
1846	1.435
1847	1.405
1848	1.36
1849	1.513
1850	1.061
1851	1.306
1852	0.86
1853	1.043
1854	0.858
1855	0.862
1856	0.878
1857	1.129
1858	1.105
1859	1.036
1860	0.799
1861	1.111
1862	0.959
1863	0.855
1864	0.911
1865	0.904
1866	0.837
1867	1.031
1868	1.152
1869	0.976
1870	1.186
1871	1.195
1872	0.913
1873	0.84
1874	0.453
1875	0.503
1876	0.592
1877	0.784
1878	0.974
1879	1.095
1880	0.787
1881	0.823
1882	0.824
1883	0.71
1884	0.995
1885	0.981
1886	1.005
1887	0.944
1888	0.562
1889	0.473
1890	0.644
1891	0.912
1892	1.371
1893	1.145
1894	1.033
1895	0.956
1896	0.839
1897	0.738
1898	0.735
1899	0.821
1900	1.276
1901	1.117
1902	1.08
1903	1.207
1904	1.257
1905	1.026
1906	1.014
1907	0.992
1908	0.974
1909	0.669
1910	0.802
1911	1.068
1912	1.302
1913	1.72
1914	1.413
1915	1.405
1916	1.379
1917	1.917
1918	1.765
1919	1.489
1920	1.335
1921	1.244
1922	1.265
1923	1.274
1924	1.305
1925	1.108
1926	0.954
1927	1.196
1928	1.161
1929	1.288
1930	0.782
1931	0.577
1932	0.425
1933	0.567
1934	0.657
1935	0.807
1936	0.914
1937	1.243
1938	0.714
1939	0.693
1940	0.618
1941	0.546
1942	0.718
1943	0.64
1944	0.581
1945	0.86
1946	0.631
1947	0.987
1948	0.633
1949	0.305
1950	0.619
1951	0.517
1952	0.704
1953	1.145
1954	0.988
1955	0.997
1956	0.798
1957	0.616
1958	1.202
1959	0.969
1960	1.105
1961	0.958
1962	1.391
1963	0.947
1964	1.307
1965	1.24
1966	1.369
1967	1.073
1968	0.987
1969	0.957
1970	1.165
1971	1.31
1972	0.74
1973	0.884
1974	0.762
1975	0.949
1976	0.862
1977	0.741
1978	1.008
1979	0.546