# southamerica_arge071 - Estancia Collun-co, CaÃÂ±adon de arriba - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5160
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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
#--------------------
# Title
#	Study_Name: southamerica_arge071 - Estancia Collun-co, CaÃÂ±adon de arriba - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
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# Site_Information
#	Site_Name: Estancia Collun-co, CaÃÂ±adon de arriba
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -39.93
#	Southernmost_Latitude: -39.93
#	Easternmost_Longitude: -71.13
#	Westernmost_Longitude: -71.13
#	Elevation: 870 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge071B
#	Earliest_Year: 1734
#	Most_Recent_Year: 1989
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"2.73655988098","T2":"12.7558683106","M1":"0.023099958381","M2":"0.594946930545"}}
#--------------------
# Species
#	Species_Name: Chilean cedar
#	Species_Code: AUCH
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# Chronology:
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# 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
#
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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
1734	1.332
1735	1.128
1736	0.724
1737	0.726
1738	0.736
1739	0.833
1740	0.861
1741	0.788
1742	0.893
1743	1.067
1744	1.127
1745	0.948
1746	0.863
1747	1.194
1748	0.928
1749	1.204
1750	1.038
1751	0.919
1752	0.89
1753	0.824
1754	0.829
1755	0.913
1756	1.111
1757	1.219
1758	1.196
1759	0.956
1760	1.114
1761	1.104
1762	0.801
1763	0.915
1764	0.949
1765	0.852
1766	0.957
1767	0.824
1768	0.916
1769	0.91
1770	0.82
1771	0.904
1772	0.782
1773	0.963
1774	1.164
1775	1.339
1776	1.175
1777	1.061
1778	1.283
1779	1.122
1780	1.159
1781	1.219
1782	0.772
1783	0.697
1784	0.974
1785	0.858
1786	0.869
1787	0.844
1788	1.105
1789	1.252
1790	1.228
1791	0.94
1792	0.85
1793	0.805
1794	0.715
1795	1.003
1796	0.902
1797	1.086
1798	1.187
1799	0.892
1800	0.992
1801	1.03
1802	0.877
1803	0.825
1804	0.901
1805	0.824
1806	1.006
1807	0.701
1808	1.058
1809	1.355
1810	1.048
1811	1.327
1812	1.199
1813	0.411
1814	0.7
1815	0.74
1816	0.926
1817	0.852
1818	0.92
1819	0.742
1820	0.598
1821	0.664
1822	0.6
1823	0.891
1824	0.93
1825	0.999
1826	1.075
1827	0.895
1828	1.013
1829	1.062
1830	1.08
1831	0.829
1832	0.937
1833	1.058
1834	1.306
1835	1.067
1836	0.801
1837	0.964
1838	1.048
1839	0.823
1840	0.887
1841	0.591
1842	0.7
1843	1.119
1844	1.206
1845	0.853
1846	0.959
1847	0.814
1848	0.975
1849	0.883
1850	0.866
1851	1.049
1852	1.295
1853	1.171
1854	1.2
1855	1.144
1856	1.1
1857	1.119
1858	0.927
1859	0.668
1860	0.825
1861	0.798
1862	0.799
1863	0.843
1864	0.565
1865	0.558
1866	0.663
1867	0.651
1868	0.966
1869	1.074
1870	0.942
1871	0.74
1872	0.939
1873	1.092
1874	1.108
1875	0.985
1876	1.153
1877	1.022
1878	1.216
1879	1.126
1880	1.083
1881	0.978
1882	0.961
1883	0.774
1884	0.872
1885	0.874
1886	0.972
1887	0.624
1888	0.973
1889	1.023
1890	0.951
1891	1.136
1892	1.178
1893	0.887
1894	1.034
1895	1.147
1896	1.021
1897	1.148
1898	1.445
1899	1.255
1900	1.292
1901	1.408
1902	1.422
1903	1.119
1904	1.274
1905	1.369
1906	1.104
1907	1.225
1908	1.168
1909	0.743
1910	0.88
1911	0.825
1912	0.727
1913	0.557
1914	0.666
1915	0.872
1916	0.989
1917	0.793
1918	1.044
1919	1.016
1920	1.331
1921	1.35
1922	0.968
1923	0.955
1924	1.043
1925	1.127
1926	1.386
1927	1.001
1928	1.13
1929	1.088
1930	1.082
1931	1.198
1932	0.884
1933	1.265
1934	1.016
1935	1.068
1936	1.104
1937	1.042
1938	1.004
1939	1.134
1940	1.241
1941	1.333
1942	1.236
1943	0.692
1944	0.846
1945	1.16
1946	1.499
1947	0.952
1948	0.961
1949	0.913
1950	0.983
1951	1.243
1952	1.068
1953	1.076
1954	1.096
1955	1.035
1956	0.939
1957	0.862
1958	0.745
1959	0.867
1960	0.807
1961	0.897
1962	0.652
1963	0.838
1964	0.877
1965	0.992
1966	1.062
1967	0.88
1968	0.843
1969	0.831
1970	0.982
1971	1.169
1972	1.065
1973	1.133
1974	1.131
1975	0.902
1976	0.911
1977	1.043
1978	0.947
1979	0.746
1980	1.042
1981	1.01
1982	0.938
1983	0.876
1984	1.067
1985	1.005
1986	0.95
1987	0.731
1988	0.832
1989	0.807