# southamerica_arge049 - Monte Grande Magallanes - 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/4272
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge049 - Monte Grande Magallanes - 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: Monte Grande Magallanes
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -53.2
#	Southernmost_Latitude: -53.2
#	Easternmost_Longitude: -72.17
#	Westernmost_Longitude: -72.17
#	Elevation: 300 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge049B
#	Earliest_Year: 1827
#	Most_Recent_Year: 1988
#	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":"4.39498783893","T2":"15.7330355237","M1":"0.0229392145239","M2":"0.468850838361"}}
#--------------------
# 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
1827	0.195
1828	0.784
1829	1.513
1830	1.243
1831	1.254
1832	0.648
1833	0.143
1834	0.335
1835	1.101
1836	1.512
1837	1.662
1838	1.346
1839	0.97
1840	0.332
1841	0.077
1842	0.586
1843	1.343
1844	1.562
1845	0.841
1846	0.63
1847	0.202
1848	0.123
1849	0.467
1850	1.566
1851	0.599
1852	0.276
1853	1.167
1854	1.406
1855	1.631
1856	1.095
1857	1.275
1858	1.343
1859	0.834
1860	0.733
1861	1.477
1862	1.596
1863	1.487
1864	1.951
1865	1.749
1866	0.948
1867	0.861
1868	1.396
1869	1.556
1870	1.045
1871	0.851
1872	0.619
1873	0.832
1874	1.245
1875	1.271
1876	1.446
1877	1.234
1878	1.316
1879	1.125
1880	0.76
1881	0.686
1882	0.672
1883	0.996
1884	1.408
1885	1.538
1886	1.192
1887	1.042
1888	0.397
1889	0.212
1890	0.68
1891	1.037
1892	1.044
1893	0.956
1894	1.144
1895	0.796
1896	0.204
1897	0.243
1898	1.324
1899	1.532
1900	1.103
1901	1.038
1902	1.101
1903	0.475
1904	0.854
1905	1.535
1906	1.253
1907	1.468
1908	1.068
1909	0.819
1910	0.382
1911	0.378
1912	1.176
1913	1.183
1914	0.96
1915	0.722
1916	0.733
1917	0.889
1918	0.694
1919	0.565
1920	1.345
1921	1.692
1922	1.572
1923	1.002
1924	0.319
1925	0.275
1926	0.921
1927	1.193
1928	0.934
1929	0.996
1930	1.487
1931	0.546
1932	0.337
1933	1.07
1934	1.195
1935	0.841
1936	1.19
1937	0.812
1938	0.454
1939	1.208
1940	1.146
1941	1.1
1942	1.444
1943	1.097
1944	0.535
1945	0.494
1946	0.808
1947	0.972
1948	0.777
1949	0.678
1950	0.348
1951	0.366
1952	0.861
1953	1.061
1954	1.139
1955	0.978
1956	1.066
1957	0.63
1958	0.215
1959	0.664
1960	0.84
1961	0.817
1962	1.163
1963	1.079
1964	0.951
1965	0.802
1966	1.306
1967	1.253
1968	1.017
1969	0.861
1970	0.44
1971	0.505
1972	1.162
1973	1.11
1974	1.054
1975	0.929
1976	1.151
1977	0.913
1978	0.693
1979	0.994
1980	1.199
1981	1.151
1982	1.19
1983	1.17
1984	1.137
1985	1.246
1986	1.548
1987	1.356
1988	1.169