# australia_newz091 - Katikati - 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: australia_newz091 - Katikati - 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: Katikati
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -37.6
#	Southernmost_Latitude: -37.6
#	Easternmost_Longitude: 175.87
#	Westernmost_Longitude: 175.87
#	Elevation: 350 m
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# Data_Collection
#	Collection_Name: australia_newz091B
#	Earliest_Year: 1808
#	Most_Recent_Year: 1996
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"4.4180675314"}{"T2":"11.2881704508"}{"M1":"0.0226140350614"}{"M2":"0.489311327739"}
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# Species
#	Species_Name: kauri pine
#	Species_Code: AGAU
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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
1808	0.521
1809	0.888
1810	0.623
1811	0.867
1812	0.875
1813	0.752
1814	0.614
1815	0.829
1816	0.85
1817	0.384
1818	0.681
1819	0.459
1820	0.78
1821	0.731
1822	1.156
1823	0.85
1824	0.98
1825	0.624
1826	0.52
1827	0.988
1828	0.656
1829	0.549
1830	0.409
1831	0.823
1832	0.667
1833	0.992
1834	0.557
1835	0.999
1836	0.649
1837	1.0
1838	0.938
1839	0.242
1840	0.938
1841	1.077
1842	1.129
1843	1.121
1844	0.774
1845	1.198
1846	0.523
1847	0.702
1848	0.864
1849	0.448
1850	0.962
1851	0.965
1852	1.094
1853	0.95
1854	1.088
1855	1.038
1856	0.968
1857	1.191
1858	0.734
1859	0.995
1860	0.378
1861	1.044
1862	1.412
1863	1.292
1864	1.152
1865	0.795
1866	0.7
1867	1.015
1868	1.273
1869	0.79
1870	1.228
1871	1.33
1872	1.41
1873	1.519
1874	1.777
1875	1.25
1876	1.487
1877	1.603
1878	0.836
1879	0.965
1880	1.08
1881	1.208
1882	0.898
1883	1.244
1884	1.254
1885	1.314
1886	0.786
1887	1.145
1888	0.995
1889	0.93
1890	0.778
1891	1.267
1892	0.588
1893	1.214
1894	1.032
1895	1.289
1896	1.515
1897	1.622
1898	1.637
1899	1.206
1900	1.117
1901	1.178
1902	1.353
1903	0.502
1904	1.285
1905	1.342
1906	0.826
1907	0.654
1908	1.033
1909	0.829
1910	1.197
1911	1.214
1912	1.127
1913	1.523
1914	1.338
1915	0.695
1916	0.324
1917	0.97
1918	1.146
1919	1.732
1920	1.155
1921	1.299
1922	1.024
1923	1.098
1924	0.754
1925	1.33
1926	0.829
1927	1.255
1928	0.714
1929	1.135
1930	1.14
1931	1.233
1932	0.86
1933	0.897
1934	0.722
1935	0.462
1936	0.926
1937	0.572
1938	0.949
1939	0.974
1940	1.168
1941	0.728
1942	0.959
1943	0.872
1944	1.084
1945	1.037
1946	0.647
1947	1.233
1948	0.872
1949	1.327
1950	0.924
1951	1.136
1952	0.797
1953	0.692
1954	0.911
1955	0.932
1956	0.889
1957	1.2
1958	0.541
1959	0.984
1960	0.546
1961	0.943
1962	0.642
1963	1.527
1964	0.944
1965	0.907
1966	0.473
1967	0.79
1968	0.532
1969	0.662
1970	0.385
1971	0.821
1972	0.625
1973	0.756
1974	0.839
1975	0.849
1976	1.145
1977	1.031
1978	0.91
1979	0.861
1980	0.789
1981	0.91
1982	1.307
1983	1.044
1984	1.019
1985	0.776
1986	1.279
1987	0.871
1988	0.72
1989	0.735
1990	1.06
1991	1.288
1992	1.412
1993	1.125
1994	1.005
1995	0.415
1996	0.804