# southamerica_arge010 - El Maiten - 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/3521
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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_arge010 - El Maiten - 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: El Maiten
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -41.98
#	Southernmost_Latitude: -41.98
#	Easternmost_Longitude: -71.25
#	Westernmost_Longitude: -71.25
#	Elevation: 710 m
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# Data_Collection
#	Collection_Name: southamerica_arge010B
#	Earliest_Year: 1812
#	Most_Recent_Year: 1974
#	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":"4.62386751021","T2":"15.0705307565","M1":"0.022890509065","M2":"0.491502423495"}}
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# 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)
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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
1812	0.995
1813	0.138
1814	0.264
1815	0.262
1816	0.77
1817	0.763
1818	0.861
1819	0.568
1820	0.637
1821	0.562
1822	0.555
1823	0.79
1824	0.972
1825	0.683
1826	0.661
1827	0.401
1828	0.714
1829	0.848
1830	1.188
1831	1.106
1832	0.965
1833	0.936
1834	1.078
1835	1.036
1836	0.666
1837	1.205
1838	1.244
1839	0.963
1840	0.783
1841	0.876
1842	0.88
1843	1.325
1844	1.476
1845	1.007
1846	0.995
1847	0.954
1848	1.171
1849	1.536
1850	1.258
1851	0.437
1852	0.958
1853	1.031
1854	1.103
1855	0.709
1856	1.021
1857	1.249
1858	1.189
1859	1.117
1860	1.232
1861	1.094
1862	1.334
1863	1.644
1864	1.661
1865	0.939
1866	1.058
1867	0.844
1868	1.25
1869	1.183
1870	1.265
1871	0.965
1872	1.119
1873	1.157
1874	1.363
1875	1.278
1876	1.58
1877	0.711
1878	0.871
1879	0.882
1880	0.734
1881	0.583
1882	0.733
1883	0.794
1884	0.616
1885	0.51
1886	1.12
1887	1.412
1888	1.521
1889	1.799
1890	1.785
1891	1.629
1892	1.965
1893	1.352
1894	1.478
1895	1.673
1896	0.897
1897	0.67
1898	1.452
1899	1.704
1900	1.447
1901	1.322
1902	1.146
1903	1.134
1904	0.968
1905	1.205
1906	0.516
1907	0.815
1908	0.488
1909	0.517
1910	0.707
1911	0.637
1912	0.719
1913	0.414
1914	0.743
1915	1.192
1916	1.176
1917	1.078
1918	1.141
1919	0.778
1920	0.503
1921	0.692
1922	0.479
1923	0.595
1924	0.64
1925	0.965
1926	0.885
1927	1.112
1928	1.213
1929	1.277
1930	0.878
1931	0.488
1932	0.179
1933	0.274
1934	0.38
1935	0.471
1936	0.573
1937	0.52
1938	0.727
1939	0.765
1940	1.115
1941	1.064
1942	1.192
1943	0.738
1944	0.702
1945	0.943
1946	1.271
1947	1.117
1948	1.159
1949	0.972
1950	0.892
1951	1.054
1952	1.239
1953	0.997
1954	1.194
1955	0.772
1956	0.854
1957	0.66
1958	0.873
1959	0.916
1960	1.313
1961	1.11
1962	0.51
1963	0.696
1964	0.72
1965	1.146
1966	0.947
1967	1.379
1968	0.766
1969	0.883
1970	0.783
1971	0.875
1972	1.026
1973	0.816
1974	1.262