# southamerica_arge077 - El Mirador  Traful - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5159
#
# 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_arge077 - El Mirador  Traful - 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: El Mirador  Traful
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -40.65
#	Southernmost_Latitude: -40.65
#	Easternmost_Longitude: -71.4
#	Westernmost_Longitude: -71.4
#	Elevation: 1050 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge077B
#	Earliest_Year: 1686
#	Most_Recent_Year: 1991
#	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":"2.31247608078","T2":"11.788094523","M1":"0.0234314257266","M2":"0.605496513133"}}
#--------------------
# Species
#	Species_Name: Chilean cedar
#	Species_Code: AUCH
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# Chronology:
#
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#
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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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1686	0.595
1687	0.611
1688	0.668
1689	0.852
1690	0.804
1691	0.802
1692	0.833
1693	0.791
1694	0.847
1695	0.846
1696	0.986
1697	1.101
1698	0.765
1699	0.996
1700	0.743
1701	0.721
1702	0.636
1703	0.917
1704	1.268
1705	0.911
1706	1.218
1707	1.403
1708	1.296
1709	1.052
1710	0.823
1711	0.938
1712	0.86
1713	0.767
1714	0.74
1715	0.702
1716	0.664
1717	0.638
1718	0.716
1719	0.713
1720	1.104
1721	0.878
1722	1.011
1723	1.045
1724	1.124
1725	1.221
1726	1.52
1727	1.506
1728	1.977
1729	1.622
1730	1.436
1731	1.85
1732	1.511
1733	1.542
1734	1.052
1735	1.025
1736	0.881
1737	0.488
1738	0.568
1739	0.714
1740	0.822
1741	0.899
1742	0.835
1743	0.803
1744	0.828
1745	0.68
1746	0.644
1747	0.724
1748	0.894
1749	1.07
1750	1.068
1751	0.838
1752	0.795
1753	0.907
1754	0.923
1755	0.814
1756	0.822
1757	0.795
1758	0.918
1759	0.805
1760	1.192
1761	1.255
1762	0.903
1763	1.288
1764	1.211
1765	1.014
1766	1.424
1767	1.048
1768	1.185
1769	1.153
1770	0.636
1771	0.879
1772	0.855
1773	1.007
1774	0.861
1775	1.042
1776	1.259
1777	1.171
1778	0.877
1779	0.879
1780	0.856
1781	0.983
1782	1.077
1783	1.025
1784	1.227
1785	1.19
1786	0.9
1787	0.791
1788	0.956
1789	1.036
1790	0.996
1791	0.929
1792	1.094
1793	1.094
1794	1.211
1795	1.016
1796	0.937
1797	1.147
1798	1.041
1799	0.785
1800	0.784
1801	0.631
1802	0.623
1803	0.764
1804	0.728
1805	0.647
1806	0.769
1807	0.897
1808	1.125
1809	1.096
1810	1.222
1811	1.243
1812	1.447
1813	1.04
1814	0.959
1815	0.843
1816	0.83
1817	0.953
1818	0.802
1819	0.605
1820	0.508
1821	0.549
1822	0.848
1823	0.998
1824	0.898
1825	1.039
1826	0.845
1827	0.752
1828	0.913
1829	1.087
1830	1.146
1831	1.135
1832	1.031
1833	1.096
1834	1.505
1835	1.163
1836	0.998
1837	0.889
1838	0.788
1839	0.714
1840	0.71
1841	0.551
1842	0.792
1843	1.214
1844	1.121
1845	0.609
1846	0.821
1847	0.743
1848	0.837
1849	0.775
1850	0.685
1851	0.665
1852	0.918
1853	0.822
1854	0.831
1855	0.977
1856	0.932
1857	1.011
1858	0.845
1859	0.781
1860	0.86
1861	0.732
1862	0.949
1863	1.144
1864	0.905
1865	0.799
1866	0.927
1867	1.055
1868	1.232
1869	1.206
1870	1.216
1871	0.786
1872	0.952
1873	0.93
1874	1.007
1875	1.013
1876	1.042
1877	0.59
1878	1.143
1879	1.506
1880	1.371
1881	1.229
1882	1.133
1883	1.084
1884	1.004
1885	1.048
1886	0.996
1887	1.014
1888	1.169
1889	1.187
1890	1.235
1891	1.027
1892	1.141
1893	0.579
1894	0.805
1895	0.843
1896	0.909
1897	0.882
1898	0.993
1899	0.993
1900	1.029
1901	0.917
1902	1.013
1903	0.899
1904	0.86
1905	1.076
1906	0.949
1907	1.053
1908	0.999
1909	0.908
1910	0.805
1911	0.739
1912	0.902
1913	0.894
1914	0.915
1915	1.116
1916	1.249
1917	0.996
1918	1.296
1919	1.014
1920	1.34
1921	1.23
1922	0.867
1923	0.816
1924	0.822
1925	1.037
1926	1.079
1927	0.982
1928	1.095
1929	1.126
1930	1.278
1931	1.042
1932	1.158
1933	1.491
1934	1.093
1935	1.159
1936	1.202
1937	1.094
1938	1.352
1939	1.394
1940	1.451
1941	1.584
1942	1.358
1943	0.687
1944	0.66
1945	1.108
1946	1.384
1947	1.23
1948	1.289
1949	0.956
1950	1.057
1951	1.255
1952	1.074
1953	0.911
1954	0.998
1955	1.127
1956	0.907
1957	0.705
1958	0.797
1959	0.799
1960	0.807
1961	0.598
1962	0.418
1963	0.721
1964	0.97
1965	0.947
1966	0.966
1967	0.77
1968	0.877
1969	0.815
1970	0.955
1971	1.015
1972	0.959
1973	1.136
1974	1.161
1975	1.194
1976	1.177
1977	1.266
1978	0.932
1979	0.891
1980	1.044
1981	1.021
1982	0.982
1983	1.041
1984	1.041
1985	1.053
1986	1.041
1987	0.81
1988	0.749
1989	0.688
1990	0.817
1991	0.908