# asia_leba006 - Maaser - 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
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# Title
#	Study_Name: asia_leba006 - Maaser - 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: Maaser
#	Location:
#	Country: Lebanon
#	Northernmost_Latitude: 33.67
#	Southernmost_Latitude: 33.67
#	Easternmost_Longitude: 35.68
#	Westernmost_Longitude: 35.68
#	Elevation: 1720 m
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# Data_Collection
#	Collection_Name: asia_leba006B
#	Earliest_Year: 1837
#	Most_Recent_Year: 2002
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"5.39863015773"}{"T2":"16.6459139344"}{"M1":"0.0224062840504"}{"M2":"0.380735374197"}
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# Species
#	Species_Name: cedar of Lebanone
#	Species_Code: CDLI
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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
1837	1.154
1838	0.827
1839	0.849
1840	0.347
1841	0.447
1842	0.5
1843	0.747
1844	0.849
1845	0.953
1846	1.188
1847	0.978
1848	0.674
1849	0.229
1850	0.21
1851	0.503
1852	0.654
1853	0.973
1854	0.857
1855	1.131
1856	1.059
1857	1.567
1858	1.84
1859	1.38
1860	1.039
1861	1.313
1862	0.832
1863	0.96
1864	1.441
1865	1.355
1866	1.341
1867	1.375
1868	1.106
1869	1.281
1870	1.395
1871	1.298
1872	0.959
1873	0.477
1874	0.655
1875	1.254
1876	1.444
1877	1.294
1878	1.023
1879	0.836
1880	0.62
1881	0.042
1882	0.263
1883	0.625
1884	0.932
1885	1.196
1886	1.021
1887	1.137
1888	1.323
1889	1.208
1890	1.206
1891	1.406
1892	1.624
1893	1.171
1894	1.129
1895	0.923
1896	0.704
1897	0.672
1898	0.635
1899	0.709
1900	1.073
1901	1.262
1902	1.312
1903	1.002
1904	1.299
1905	0.954
1906	0.999
1907	0.646
1908	0.206
1909	0.297
1910	0.774
1911	1.005
1912	1.249
1913	1.242
1914	1.512
1915	0.977
1916	0.564
1917	1.145
1918	1.202
1919	1.562
1920	1.139
1921	1.14
1922	1.225
1923	1.124
1924	1.403
1925	1.405
1926	1.532
1927	1.231
1928	1.256
1929	1.464
1930	0.876
1931	0.501
1932	0.498
1933	0.878
1934	1.132
1935	0.852
1936	1.083
1937	0.904
1938	1.037
1939	1.032
1940	1.012
1941	0.933
1942	1.076
1943	0.97
1944	0.267
1945	0.034
1946	0.421
1947	0.727
1948	0.798
1949	0.729
1950	0.974
1951	0.448
1952	0.051
1953	0.17
1954	0.314
1955	0.703
1956	0.877
1957	1.003
1958	1.31
1959	1.542
1960	1.265
1961	0.943
1962	0.776
1963	0.733
1964	0.912
1965	0.796
1966	1.162
1967	1.31
1968	1.111
1969	0.963
1970	0.498
1971	0.658
1972	1.29
1973	1.314
1974	1.296
1975	1.196
1976	1.411
1977	1.403
1978	1.023
1979	1.275
1980	1.207
1981	1.528
1982	1.29
1983	1.467
1984	1.208
1985	0.964
1986	1.111
1987	0.952
1988	1.235
1989	0.748
1990	0.968
1991	1.392
1992	1.346
1993	0.663
1994	0.908
1995	0.884
1996	0.886
1997	0.584
1998	0.549
1999	0.496
2000	0.865
2001	1.152
2002	1.426