# southamerica_arge046 - Lago Yehuin - 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/2778
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge046 - Lago Yehuin - 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: Lago Yehuin
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -54.47
#	Southernmost_Latitude: -54.47
#	Easternmost_Longitude: -67.72
#	Westernmost_Longitude: -67.72
#	Elevation: 200 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge046B
#	Earliest_Year: 1799
#	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":"4.27881412625","T2":"17.3854309143","M1":"0.0226666063557","M2":"0.396645773845"}}
#--------------------
# Species
#	Species_Name: lenga nothofagus
#	Species_Code: NOPU
#--------------------
# 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
1799	0.941
1800	1.215
1801	1.048
1802	0.879
1803	1.064
1804	0.797
1805	0.462
1806	0.281
1807	0.753
1808	0.887
1809	0.881
1810	1.148
1811	0.764
1812	1.309
1813	0.823
1814	0.69
1815	0.99
1816	0.99
1817	1.258
1818	1.294
1819	0.762
1820	0.373
1821	0.485
1822	1.036
1823	0.88
1824	0.811
1825	1.361
1826	1.204
1827	1.014
1828	1.072
1829	1.119
1830	0.807
1831	0.708
1832	0.807
1833	0.765
1834	0.417
1835	0.611
1836	1.049
1837	1.281
1838	1.218
1839	1.105
1840	0.853
1841	0.706
1842	0.846
1843	1.034
1844	0.979
1845	0.96
1846	0.991
1847	1.158
1848	1.259
1849	1.121
1850	0.977
1851	0.739
1852	0.643
1853	0.753
1854	0.739
1855	0.729
1856	0.643
1857	1.024
1858	1.178
1859	0.93
1860	0.671
1861	0.69
1862	0.474
1863	1.13
1864	1.111
1865	0.948
1866	0.989
1867	1.209
1868	1.342
1869	1.497
1870	1.449
1871	1.149
1872	1.123
1873	0.94
1874	1.358
1875	0.645
1876	1.527
1877	1.88
1878	1.561
1879	1.786
1880	1.761
1881	1.615
1882	0.96
1883	1.333
1884	1.63
1885	1.242
1886	0.933
1887	0.917
1888	0.95
1889	0.554
1890	0.567
1891	0.944
1892	0.852
1893	0.777
1894	1.294
1895	1.509
1896	1.509
1897	1.508
1898	1.45
1899	1.393
1900	1.084
1901	1.053
1902	0.613
1903	0.643
1904	1.401
1905	1.261
1906	0.937
1907	0.895
1908	0.857
1909	1.15
1910	0.947
1911	1.088
1912	1.125
1913	1.095
1914	0.811
1915	0.919
1916	0.565
1917	0.499
1918	0.959
1919	0.727
1920	1.073
1921	1.25
1922	1.022
1923	0.861
1924	0.556
1925	0.967
1926	1.011
1927	1.177
1928	1.315
1929	1.199
1930	0.757
1931	0.288
1932	0.894
1933	1.091
1934	0.679
1935	0.714
1936	0.508
1937	0.573
1938	1.41
1939	1.078
1940	0.768
1941	1.018
1942	1.284
1943	0.722
1944	1.076
1945	1.219
1946	0.983
1947	0.856
1948	0.986
1949	1.02
1950	0.364
1951	0.766
1952	1.021
1953	0.879
1954	0.838
1955	1.202
1956	1.072
1957	1.082
1958	0.759
1959	0.533
1960	0.544
1961	0.579
1962	0.689
1963	0.84
1964	1.075
1965	0.953
1966	1.13
1967	0.889
1968	0.857
1969	0.824
1970	0.712
1971	0.742
1972	1.311
1973	0.875
1974	1.165
1975	1.355
1976	1.253
1977	1.127
1978	0.834
1979	0.906
1980	1.221
1981	0.882
1982	1.057
1983	0.942
1984	0.767
1985	0.576
1986	1.045