# southamerica_arge034 - Estancia San Justo - 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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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2776
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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: southamerica_arge034 - Estancia San Justo - Breitenmoser Tree Ring Chronology Data
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# 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.
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#	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 San Justo
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -54.05
#	Southernmost_Latitude: -54.05
#	Easternmost_Longitude: -68.57
#	Westernmost_Longitude: -68.57
#	Elevation: 250 m
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# Data_Collection
#	Collection_Name: southamerica_arge034B
#	Earliest_Year: 1776
#	Most_Recent_Year: 1985
#	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":"5.38404938371","T2":"17.4361039668","M1":"0.0226355685784","M2":"0.35922148223"}}
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# Species
#	Species_Name: lenga nothofagus
#	Species_Code: NOPU
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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
1776	0.98
1777	0.7
1778	0.914
1779	1.098
1780	0.871
1781	0.964
1782	0.753
1783	0.772
1784	1.079
1785	0.861
1786	1.001
1787	1.002
1788	1.385
1789	1.082
1790	0.754
1791	0.522
1792	1.18
1793	1.014
1794	1.104
1795	1.268
1796	1.031
1797	0.843
1798	0.869
1799	0.847
1800	0.95
1801	0.881
1802	0.922
1803	1.045
1804	0.834
1805	0.74
1806	1.015
1807	1.063
1808	1.09
1809	0.852
1810	1.139
1811	0.802
1812	1.02
1813	0.828
1814	0.842
1815	0.889
1816	0.959
1817	1.311
1818	1.172
1819	0.812
1820	0.789
1821	0.808
1822	1.237
1823	1.342
1824	1.001
1825	1.099
1826	1.012
1827	0.846
1828	0.91
1829	1.15
1830	1.127
1831	1.084
1832	1.066
1833	1.001
1834	0.806
1835	0.861
1836	1.174
1837	1.247
1838	0.973
1839	1.162
1840	0.972
1841	0.912
1842	1.0
1843	0.983
1844	0.859
1845	0.928
1846	0.697
1847	1.094
1848	1.377
1849	1.026
1850	1.0
1851	0.521
1852	0.658
1853	1.079
1854	0.998
1855	1.061
1856	0.851
1857	1.094
1858	1.111
1859	0.895
1860	0.818
1861	0.761
1862	1.105
1863	1.352
1864	0.958
1865	1.031
1866	1.014
1867	0.965
1868	0.896
1869	1.121
1870	1.429
1871	1.199
1872	0.913
1873	0.876
1874	0.75
1875	0.43
1876	1.037
1877	0.931
1878	0.808
1879	0.92
1880	1.084
1881	1.17
1882	0.604
1883	0.737
1884	1.495
1885	1.313
1886	1.072
1887	0.863
1888	0.739
1889	0.373
1890	0.604
1891	0.971
1892	0.876
1893	0.66
1894	1.04
1895	1.177
1896	1.163
1897	1.37
1898	1.517
1899	1.318
1900	1.268
1901	1.18
1902	1.128
1903	0.959
1904	1.372
1905	1.133
1906	0.774
1907	0.957
1908	0.894
1909	1.015
1910	1.07
1911	1.549
1912	1.255
1913	1.156
1914	0.827
1915	1.093
1916	0.873
1917	1.028
1918	1.239
1919	0.952
1920	1.085
1921	1.573
1922	1.166
1923	0.747
1924	0.919
1925	1.41
1926	1.056
1927	0.833
1928	1.059
1929	0.939
1930	0.462
1931	0.479
1932	1.166
1933	1.004
1934	0.643
1935	0.537
1936	0.649
1937	0.743
1938	1.076
1939	1.359
1940	0.966
1941	0.762
1942	1.122
1943	0.777
1944	1.092
1945	1.231
1946	1.134
1947	0.928
1948	0.844
1949	0.611
1950	0.704
1951	0.918
1952	0.656
1953	0.811
1954	1.011
1955	1.022
1956	1.11
1957	1.006
1958	0.389
1959	0.599
1960	0.966
1961	1.048
1962	0.827
1963	0.876
1964	1.161
1965	1.039
1966	1.226
1967	1.251
1968	1.143
1969	0.96
1970	0.696
1971	0.544
1972	1.103
1973	0.979
1974	1.138
1975	1.179
1976	1.02
1977	1.084
1978	1.026
1979	1.166
1980	1.115
1981	0.833
1982	1.279
1983	0.888
1984	0.814
1985	1.024