# southamerica_arge033 - Estancia Carmen Camino - Breitenmoser Tree Ring Chronology Data
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#		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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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2774
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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_arge033 - Estancia Carmen Camino - 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.
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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 Carmen Camino
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -54.43
#	Southernmost_Latitude: -54.43
#	Easternmost_Longitude: -67.92
#	Westernmost_Longitude: -67.92
#	Elevation: 250 m
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# Data_Collection
#	Collection_Name: southamerica_arge033B
#	Earliest_Year: 1756
#	Most_Recent_Year: 1986
#	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":"4.33910441638","T2":"16.5667526768","M1":"0.0226001133439","M2":"0.442171786898"}}
#--------------------
# 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
1756	1.159
1757	0.765
1758	0.331
1759	0.67
1760	1.573
1761	0.988
1762	0.979
1763	1.049
1764	1.424
1765	0.969
1766	1.037
1767	0.891
1768	0.969
1769	1.028
1770	1.115
1771	0.738
1772	1.511
1773	0.868
1774	1.188
1775	1.422
1776	1.249
1777	1.175
1778	0.797
1779	1.198
1780	0.914
1781	1.012
1782	0.994
1783	0.766
1784	0.943
1785	1.003
1786	1.094
1787	1.132
1788	1.443
1789	1.015
1790	0.451
1791	0.137
1792	1.049
1793	1.346
1794	1.096
1795	0.989
1796	1.005
1797	1.02
1798	1.159
1799	1.414
1800	1.386
1801	1.045
1802	0.913
1803	1.09
1804	0.802
1805	0.397
1806	0.503
1807	0.985
1808	1.064
1809	0.888
1810	1.126
1811	0.846
1812	1.407
1813	1.126
1814	0.813
1815	1.216
1816	1.076
1817	1.434
1818	1.338
1819	0.653
1820	0.292
1821	0.327
1822	1.132
1823	1.18
1824	1.027
1825	1.176
1826	0.986
1827	1.118
1828	1.211
1829	1.144
1830	0.968
1831	0.995
1832	0.927
1833	1.023
1834	0.683
1835	0.937
1836	1.226
1837	1.295
1838	1.162
1839	0.968
1840	0.777
1841	0.691
1842	0.853
1843	1.052
1844	0.932
1845	0.692
1846	0.708
1847	0.822
1848	1.052
1849	1.023
1850	0.85
1851	0.63
1852	0.76
1853	0.963
1854	0.802
1855	0.797
1856	0.749
1857	0.986
1858	0.89
1859	0.681
1860	0.601
1861	0.489
1862	0.666
1863	1.24
1864	0.94
1865	0.814
1866	0.856
1867	1.016
1868	0.866
1869	0.973
1870	1.112
1871	0.992
1872	0.801
1873	0.54
1874	0.986
1875	0.787
1876	1.031
1877	1.313
1878	1.182
1879	1.051
1880	1.382
1881	1.331
1882	0.793
1883	1.214
1884	1.636
1885	1.219
1886	0.99
1887	0.813
1888	0.679
1889	0.372
1890	0.311
1891	1.044
1892	1.04
1893	0.891
1894	1.395
1895	1.347
1896	0.874
1897	1.006
1898	1.734
1899	1.566
1900	1.112
1901	1.06
1902	0.681
1903	0.402
1904	1.006
1905	1.331
1906	0.984
1907	0.807
1908	0.973
1909	1.355
1910	1.15
1911	1.349
1912	1.429
1913	1.386
1914	1.001
1915	1.137
1916	0.773
1917	0.493
1918	0.857
1919	0.948
1920	1.324
1921	1.481
1922	1.111
1923	0.648
1924	0.506
1925	1.096
1926	0.961
1927	1.01
1928	1.297
1929	1.11
1930	0.838
1931	0.257
1932	0.552
1933	1.152
1934	0.672
1935	0.535
1936	0.405
1937	0.449
1938	1.392
1939	1.252
1940	0.783
1941	0.99
1942	1.196
1943	0.558
1944	0.314
1945	0.894
1946	1.198
1947	0.932
1948	0.996
1949	1.09
1950	0.383
1951	0.613
1952	0.974
1953	0.852
1954	1.018
1955	1.415
1956	1.051
1957	1.343
1958	0.984
1959	0.938
1960	1.082
1961	1.094
1962	1.034
1963	1.164
1964	1.639
1965	1.315
1966	1.521
1967	1.468
1968	1.227
1969	1.092
1970	0.759
1971	0.627
1972	1.415
1973	0.996
1974	1.31
1975	1.358
1976	1.079
1977	1.069
1978	0.622
1979	0.77
1980	1.385
1981	0.89
1982	0.921
1983	0.951
1984	0.782
1985	0.524
1986	1.125