# southamerica_arge016 - Laguna Terraplen - 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.
#
#
# Online_Resource:
#
# Original_Source_URL:
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge016 - Laguna Terraplen - 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.
#--------------------
# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
# Site_Information
#	Site_Name: Laguna Terraplen
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -43.02
#	Southernmost_Latitude: -43.02
#	Easternmost_Longitude: -71.57
#	Westernmost_Longitude: -71.57
#	Elevation: 650 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge016B
#	Earliest_Year: 1818
#	Most_Recent_Year: 1974
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"2.43628795354"}{"T2":"11.4159227443"}{"M1":"0.0230760568111"}{"M2":"0.616902996382"}
#--------------------
# Species
#	Species_Name: Chilean cedar
#	Species_Code: AUCH
#--------------------
# Chronology:
#
#
#
#--------------------
# Variables
#
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1818	1.012
1819	1.059
1820	0.868
1821	0.596
1822	0.658
1823	0.857
1824	0.867
1825	1.342
1826	1.27
1827	0.765
1828	1.074
1829	0.957
1830	1.231
1831	1.138
1832	1.175
1833	1.165
1834	1.406
1835	1.352
1836	1.094
1837	1.201
1838	1.131
1839	1.036
1840	1.084
1841	0.844
1842	1.151
1843	1.271
1844	1.247
1845	0.611
1846	0.777
1847	0.669
1848	0.629
1849	0.782
1850	0.868
1851	0.769
1852	1.03
1853	1.055
1854	1.023
1855	0.907
1856	1.125
1857	1.193
1858	1.008
1859	0.848
1860	0.731
1861	0.614
1862	0.864
1863	0.621
1864	0.499
1865	0.686
1866	0.851
1867	0.924
1868	1.21
1869	1.2
1870	1.355
1871	0.997
1872	1.307
1873	1.292
1874	1.071
1875	0.825
1876	0.761
1877	0.557
1878	0.929
1879	1.182
1880	1.286
1881	0.992
1882	0.884
1883	0.919
1884	0.702
1885	0.723
1886	0.774
1887	1.068
1888	0.951
1889	1.175
1890	1.147
1891	0.963
1892	0.982
1893	0.995
1894	0.99
1895	0.996
1896	0.78
1897	0.808
1898	1.086
1899	1.114
1900	0.959
1901	0.773
1902	0.829
1903	0.994
1904	0.579
1905	0.95
1906	0.71
1907	0.957
1908	0.804
1909	0.873
1910	0.845
1911	0.593
1912	0.861
1913	0.662
1914	0.884
1915	1.018
1916	0.941
1917	0.731
1918	0.997
1919	0.962
1920	1.336
1921	1.646
1922	0.746
1923	0.862
1924	0.851
1925	1.15
1926	1.542
1927	1.064
1928	1.442
1929	1.325
1930	1.042
1931	0.889
1932	0.987
1933	1.003
1934	0.741
1935	1.149
1936	1.319
1937	0.771
1938	1.24
1939	0.962
1940	0.721
1941	0.965
1942	0.676
1943	0.403
1944	0.7
1945	0.919
1946	1.407
1947	1.103
1948	1.084
1949	1.11
1950	1.034
1951	1.134
1952	1.165
1953	0.838
1954	0.959
1955	0.962
1956	0.782
1957	0.519
1958	0.729
1959	0.788
1960	1.063
1961	1.171
1962	0.638
1963	0.987
1964	1.312
1965	1.522
1966	1.316
1967	1.264
1968	1.136
1969	0.969
1970	1.135
1971	1.279
1972	0.94
1973	0.771
1974	0.817