# southamerica_arge096 - Cerro Diego de LeÃÂ³n - 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/5150
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge096 - Cerro Diego de LeÃÂ³n - 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: Cerro Diego de LeÃÂ³n
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -41.27
#	Southernmost_Latitude: -41.27
#	Easternmost_Longitude: -71.63
#	Westernmost_Longitude: -71.63
#	Elevation: 1500 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge096B
#	Earliest_Year: 1634
#	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":"3.82320706166","T2":"13.8559789569","M1":"0.0227661251903","M2":"0.469394628408"}}
#--------------------
# 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
1634	1.813
1635	1.048
1636	1.09
1637	1.052
1638	0.653
1639	0.517
1640	0.95
1641	1.205
1642	1.041
1643	1.2
1644	1.053
1645	1.06
1646	0.767
1647	0.98
1648	0.837
1649	1.302
1650	1.159
1651	1.072
1652	0.865
1653	0.748
1654	0.529
1655	0.947
1656	1.051
1657	1.286
1658	1.28
1659	1.039
1660	1.121
1661	1.035
1662	0.599
1663	0.251
1664	0.322
1665	0.146
1666	0.123
1667	0.27
1668	0.796
1669	0.756
1670	0.709
1671	1.157
1672	1.296
1673	1.056
1674	0.954
1675	1.294
1676	1.242
1677	1.283
1678	0.863
1679	0.845
1680	1.333
1681	1.257
1682	1.008
1683	1.504
1684	0.945
1685	1.207
1686	1.342
1687	1.274
1688	1.637
1689	0.677
1690	0.426
1691	0.959
1692	1.234
1693	1.439
1694	1.143
1695	1.121
1696	0.819
1697	0.684
1698	0.253
1699	0.363
1700	1.589
1701	1.553
1702	1.165
1703	0.587
1704	0.804
1705	0.663
1706	0.362
1707	0.826
1708	1.034
1709	1.394
1710	0.991
1711	1.066
1712	1.34
1713	1.134
1714	0.777
1715	0.468
1716	0.655
1717	1.111
1718	1.132
1719	2.015
1720	1.337
1721	1.326
1722	1.242
1723	1.485
1724	1.088
1725	0.973
1726	0.931
1727	1.153
1728	1.326
1729	0.782
1730	0.455
1731	0.463
1732	0.837
1733	1.304
1734	0.695
1735	1.247
1736	1.17
1737	1.411
1738	1.895
1739	1.321
1740	1.284
1741	0.533
1742	0.272
1743	0.858
1744	0.596
1745	0.719
1746	1.008
1747	0.952
1748	1.232
1749	0.91
1750	1.21
1751	0.868
1752	0.606
1753	0.843
1754	0.796
1755	0.817
1756	0.501
1757	0.731
1758	0.948
1759	0.642
1760	0.151
1761	0.896
1762	1.158
1763	1.061
1764	1.347
1765	1.156
1766	0.632
1767	0.982
1768	1.236
1769	0.476
1770	0.477
1771	1.379
1772	0.982
1773	0.747
1774	1.255
1775	1.1
1776	1.173
1777	0.777
1778	0.836
1779	0.528
1780	0.924
1781	1.392
1782	1.22
1783	1.069
1784	0.862
1785	1.096
1786	1.436
1787	1.335
1788	0.75
1789	1.162
1790	0.792
1791	1.116
1792	1.06
1793	1.051
1794	1.306
1795	1.556
1796	1.291
1797	1.09
1798	1.162
1799	1.358
1800	1.476
1801	1.081
1802	1.24
1803	0.959
1804	1.404
1805	1.256
1806	1.135
1807	1.431
1808	1.219
1809	1.324
1810	1.186
1811	1.04
1812	1.154
1813	0.902
1814	0.645
1815	0.78
1816	0.825
1817	1.325
1818	0.323
1819	0.655
1820	0.631
1821	0.467
1822	0.734
1823	0.971
1824	0.996
1825	1.076
1826	0.925
1827	1.321
1828	1.355
1829	1.121
1830	1.041
1831	0.751
1832	0.347
1833	0.457
1834	0.716
1835	0.786
1836	1.014
1837	0.761
1838	0.556
1839	0.948
1840	0.578
1841	0.458
1842	0.789
1843	0.696
1844	0.811
1845	0.969
1846	1.028
1847	0.961
1848	0.779
1849	0.576
1850	0.709
1851	0.52
1852	0.531
1853	0.72
1854	0.624
1855	0.846
1856	0.909
1857	0.799
1858	0.494
1859	0.604
1860	0.803
1861	0.502
1862	0.682
1863	0.986
1864	0.815
1865	0.798
1866	0.81
1867	0.533
1868	0.652
1869	0.662
1870	0.232
1871	0.273
1872	0.422
1873	0.523
1874	0.803
1875	1.103
1876	1.312
1877	1.023
1878	1.276
1879	0.849
1880	0.981
1881	0.627
1882	0.437
1883	0.834
1884	1.138
1885	0.787
1886	1.196
1887	0.859
1888	0.68
1889	0.482
1890	0.545
1891	0.833
1892	1.238
1893	1.134
1894	0.974
1895	0.556
1896	0.295
1897	0.478
1898	0.886
1899	0.794
1900	0.863
1901	1.223
1902	1.063
1903	1.217
1904	1.085
1905	1.215
1906	1.124
1907	1.263
1908	0.943
1909	0.788
1910	1.511
1911	0.936
1912	0.714
1913	1.144
1914	0.736
1915	0.784
1916	0.736
1917	0.894
1918	1.054
1919	1.088
1920	1.09
1921	1.257
1922	1.313
1923	0.772
1924	1.102
1925	1.594
1926	0.799
1927	1.286
1928	1.087
1929	1.119
1930	1.072
1931	1.226
1932	1.705
1933	1.485
1934	1.578
1935	0.885
1936	1.147
1937	0.864
1938	0.83
1939	1.311
1940	1.376
1941	0.826
1942	1.301
1943	1.169
1944	1.148
1945	0.995
1946	0.844
1947	1.118
1948	1.037
1949	1.407
1950	0.978
1951	1.135
1952	0.992
1953	1.244
1954	1.208
1955	1.249
1956	1.09
1957	1.326
1958	1.122
1959	1.331
1960	0.806
1961	0.714
1962	1.048
1963	0.996
1964	1.518
1965	0.937
1966	0.882
1967	1.425
1968	1.078
1969	1.417
1970	0.754
1971	0.873
1972	1.002
1973	0.691
1974	0.63
1975	0.406
1976	0.754
1977	0.766
1978	0.906
1979	0.97
1980	0.944
1981	1.147
1982	1.145
1983	1.293
1984	1.15
1985	1.071
1986	0.856
1987	0.73
1988	1.001
1989	1.016
1990	0.849
1991	0.955