# australia_ausl021 - Weindorfer Forest - 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
#--------------------
# Contribution_Date
#	Date: 2016-01-07
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# Title
#	Study_Name: australia_ausl021 - Weindorfer Forest - 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: Weindorfer Forest
#	Location:
#	Country: Australia
#	Northernmost_Latitude: -41.63
#	Southernmost_Latitude: -41.63
#	Easternmost_Longitude: 145.93
#	Westernmost_Longitude: 145.93
#	Elevation: 1000 m
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# Data_Collection
#	Collection_Name: australia_ausl021B
#	Earliest_Year: 1804
#	Most_Recent_Year: 1975
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"5.34953996302"}{"T2":"11.3743383855"}{"M1":"0.0227936388037"}{"M2":"0.599684497703"}
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# Species
#	Species_Name: tanglefoot beech nothofagus
#	Species_Code: NOGU
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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
1804	1.236
1805	1.107
1806	0.777
1807	0.959
1808	0.821
1809	1.155
1810	1.047
1811	0.956
1812	0.867
1813	0.851
1814	0.63
1815	0.768
1816	0.961
1817	0.926
1818	1.074
1819	1.072
1820	1.185
1821	1.041
1822	1.21
1823	0.983
1824	1.025
1825	1.171
1826	1.119
1827	1.155
1828	0.701
1829	0.701
1830	0.664
1831	0.843
1832	0.782
1833	0.752
1834	0.72
1835	0.917
1836	0.93
1837	1.149
1838	0.916
1839	1.105
1840	1.216
1841	0.757
1842	1.021
1843	1.205
1844	1.318
1845	0.961
1846	1.232
1847	1.037
1848	0.779
1849	0.774
1850	0.972
1851	1.159
1852	1.132
1853	1.301
1854	1.047
1855	1.019
1856	0.946
1857	1.062
1858	0.99
1859	0.934
1860	1.013
1861	0.838
1862	1.16
1863	1.036
1864	1.033
1865	1.131
1866	0.93
1867	0.858
1868	0.868
1869	1.073
1870	1.071
1871	1.075
1872	0.889
1873	0.893
1874	1.003
1875	0.991
1876	0.922
1877	0.818
1878	0.738
1879	0.842
1880	0.928
1881	0.934
1882	1.385
1883	1.034
1884	1.135
1885	1.416
1886	1.019
1887	0.924
1888	1.06
1889	0.841
1890	0.814
1891	0.743
1892	1.098
1893	1.31
1894	1.138
1895	1.284
1896	1.384
1897	1.145
1898	0.527
1899	0.493
1900	0.859
1901	1.142
1902	1.264
1903	1.263
1904	1.125
1905	1.269
1906	1.139
1907	1.102
1908	0.679
1909	0.276
1910	0.517
1911	0.564
1912	0.887
1913	1.133
1914	0.929
1915	1.173
1916	1.285
1917	1.313
1918	0.878
1919	1.376
1920	1.219
1921	0.941
1922	0.815
1923	1.013
1924	1.216
1925	1.303
1926	0.954
1927	1.093
1928	0.706
1929	0.74
1930	0.588
1931	0.711
1932	0.822
1933	0.986
1934	0.901
1935	0.95
1936	0.977
1937	0.898
1938	0.932
1939	0.829
1940	0.998
1941	1.234
1942	1.124
1943	1.351
1944	1.175
1945	1.152
1946	1.039
1947	0.825
1948	0.838
1949	0.825
1950	1.131
1951	0.736
1952	0.744
1953	0.886
1954	0.826
1955	0.772
1956	0.442
1957	0.823
1958	0.923
1959	0.659
1960	0.571
1961	0.571
1962	0.732
1963	0.89
1964	1.064
1965	1.286
1966	1.127
1967	0.94
1968	0.981
1969	1.03
1970	1.63
1971	1.417
1972	1.56
1973	1.778
1974	1.179
1975	1.429