# southamerica_arge068 - Confluencia 2 - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5155
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge068 - Confluencia 2 - 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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: Confluencia 2
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -40.7
#	Southernmost_Latitude: -40.7
#	Easternmost_Longitude: -71.15
#	Westernmost_Longitude: -71.15
#	Elevation: 1075 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge068B
#	Earliest_Year: 1784
#	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":"1.9418038378","T2":"11.3920019888","M1":"0.0225008680614","M2":"0.634572675902"}}
#--------------------
# Species
#	Species_Name: Chilean cedar
#	Species_Code: AUCH
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1784	1.043
1785	0.829
1786	0.94
1787	0.942
1788	1.095
1789	1.167
1790	1.134
1791	1.212
1792	0.851
1793	1.033
1794	1.008
1795	0.905
1796	0.804
1797	1.124
1798	0.999
1799	1.024
1800	1.355
1801	1.045
1802	0.732
1803	0.757
1804	0.674
1805	0.713
1806	0.631
1807	0.759
1808	1.147
1809	1.194
1810	1.121
1811	1.114
1812	1.101
1813	0.826
1814	0.982
1815	1.058
1816	1.056
1817	1.085
1818	1.188
1819	0.838
1820	0.765
1821	0.629
1822	1.296
1823	1.455
1824	1.117
1825	1.26
1826	0.991
1827	0.857
1828	0.984
1829	1.214
1830	1.478
1831	0.971
1832	0.939
1833	1.178
1834	1.482
1835	1.031
1836	1.083
1837	1.182
1838	0.945
1839	0.711
1840	0.919
1841	0.748
1842	0.959
1843	1.643
1844	1.225
1845	0.69
1846	0.894
1847	0.793
1848	1.197
1849	0.956
1850	0.882
1851	0.823
1852	1.19
1853	0.916
1854	0.79
1855	0.987
1856	0.989
1857	0.918
1858	0.738
1859	0.585
1860	0.762
1861	0.715
1862	0.771
1863	1.14
1864	0.742
1865	0.586
1866	0.766
1867	0.918
1868	1.196
1869	1.197
1870	1.384
1871	0.792
1872	0.955
1873	1.082
1874	1.025
1875	0.758
1876	0.958
1877	0.708
1878	1.162
1879	1.323
1880	0.938
1881	0.961
1882	0.992
1883	0.92
1884	0.898
1885	0.936
1886	0.892
1887	0.854
1888	1.077
1889	1.148
1890	1.183
1891	1.089
1892	1.22
1893	0.728
1894	0.978
1895	0.892
1896	0.827
1897	0.825
1898	1.254
1899	0.967
1900	1.025
1901	0.938
1902	0.996
1903	0.835
1904	0.822
1905	0.954
1906	0.912
1907	0.952
1908	0.569
1909	0.88
1910	0.809
1911	0.567
1912	0.651
1913	0.614
1914	0.654
1915	0.808
1916	0.948
1917	0.709
1918	1.055
1919	0.849
1920	1.092
1921	1.086
1922	0.834
1923	0.853
1924	0.804
1925	0.836
1926	1.229
1927	1.122
1928	1.384
1929	1.42
1930	1.377
1931	1.26
1932	1.45
1933	1.759
1934	1.469
1935	1.853
1936	1.418
1937	1.24
1938	1.421
1939	1.428
1940	1.467
1941	1.449
1942	1.381
1943	0.533
1944	0.908
1945	1.744
1946	1.713
1947	1.292
1948	1.429
1949	1.063
1950	1.035
1951	1.378
1952	0.868
1953	0.912
1954	0.811
1955	1.012
1956	0.652
1957	0.488
1958	0.665
1959	0.642
1960	0.575
1961	0.434
1962	0.269
1963	0.618
1964	0.796
1965	0.856
1966	0.792
1967	0.647
1968	0.628
1969	0.724
1970	0.921
1971	0.934
1972	0.955
1973	1.213
1974	1.355
1975	1.377
1976	0.789
1977	0.98
1978	0.869
1979	0.827
1980	0.997
1981	0.931
1982	0.995
1983	0.976
1984	1.28
1985	1.126
1986	1.121
1987	0.862
1988	0.719
1989	0.612