# southamerica_arge082 - Cerro Los Pinos - 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/5154
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge082 - Cerro Los Pinos - 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 Los Pinos
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -40.07
#	Southernmost_Latitude: -40.07
#	Easternmost_Longitude: -71.03
#	Westernmost_Longitude: -71.03
#	Elevation: 1100 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge082B
#	Earliest_Year: 1610
#	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":"2.32764383241","T2":"11.6170703175","M1":"0.0230900221347","M2":"0.623318385547"}}
#--------------------
# 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
1610	1.158
1611	0.812
1612	1.017
1613	1.315
1614	1.014
1615	0.945
1616	1.173
1617	1.04
1618	1.2
1619	1.278
1620	1.141
1621	1.145
1622	0.927
1623	0.828
1624	1.042
1625	0.977
1626	1.024
1627	1.293
1628	1.258
1629	1.164
1630	1.182
1631	0.884
1632	0.913
1633	1.222
1634	1.117
1635	1.165
1636	1.254
1637	0.96
1638	0.938
1639	1.029
1640	0.926
1641	1.036
1642	1.265
1643	1.252
1644	1.167
1645	0.993
1646	0.833
1647	0.755
1648	1.111
1649	0.847
1650	0.646
1651	0.815
1652	1.178
1653	1.198
1654	1.686
1655	0.942
1656	0.994
1657	0.83
1658	1.078
1659	1.038
1660	1.03
1661	0.951
1662	0.891
1663	1.011
1664	0.674
1665	0.753
1666	0.838
1667	0.808
1668	0.715
1669	0.719
1670	0.866
1671	0.948
1672	0.897
1673	0.734
1674	0.946
1675	0.625
1676	0.655
1677	0.813
1678	1.024
1679	0.859
1680	0.709
1681	0.665
1682	0.187
1683	0.2
1684	0.428
1685	0.508
1686	0.597
1687	0.662
1688	0.757
1689	0.727
1690	0.765
1691	0.743
1692	0.817
1693	0.588
1694	0.939
1695	0.832
1696	1.147
1697	1.14
1698	1.125
1699	1.215
1700	1.232
1701	1.101
1702	0.856
1703	1.106
1704	1.214
1705	0.721
1706	0.843
1707	0.965
1708	1.077
1709	1.04
1710	0.895
1711	1.149
1712	1.473
1713	1.499
1714	1.121
1715	1.14
1716	0.879
1717	0.692
1718	0.763
1719	0.854
1720	1.21
1721	1.047
1722	0.831
1723	1.093
1724	0.883
1725	1.047
1726	0.907
1727	0.788
1728	0.889
1729	0.933
1730	0.907
1731	0.899
1732	1.158
1733	0.93
1734	1.025
1735	1.016
1736	0.642
1737	0.464
1738	0.742
1739	0.977
1740	0.816
1741	0.765
1742	0.839
1743	0.759
1744	0.799
1745	0.687
1746	0.685
1747	0.513
1748	0.937
1749	1.252
1750	1.207
1751	0.881
1752	0.914
1753	0.889
1754	0.856
1755	0.582
1756	1.075
1757	1.018
1758	1.056
1759	0.932
1760	1.054
1761	1.05
1762	0.944
1763	0.898
1764	1.002
1765	0.864
1766	1.123
1767	0.988
1768	0.958
1769	0.965
1770	1.117
1771	1.042
1772	0.808
1773	0.848
1774	0.997
1775	1.134
1776	1.075
1777	1.294
1778	1.39
1779	1.075
1780	0.912
1781	1.057
1782	0.919
1783	0.78
1784	1.137
1785	1.071
1786	0.92
1787	0.905
1788	1.101
1789	1.098
1790	1.294
1791	1.06
1792	1.119
1793	1.016
1794	0.814
1795	0.26
1796	0.674
1797	0.975
1798	0.908
1799	0.89
1800	0.791
1801	1.036
1802	0.888
1803	0.835
1804	0.758
1805	0.804
1806	0.768
1807	0.707
1808	0.971
1809	1.121
1810	1.152
1811	1.277
1812	1.157
1813	0.514
1814	0.85
1815	0.863
1816	1.01
1817	0.817
1818	0.783
1819	0.617
1820	0.664
1821	0.723
1822	0.743
1823	0.948
1824	0.872
1825	0.934
1826	1.041
1827	1.027
1828	0.939
1829	1.168
1830	1.045
1831	0.843
1832	1.009
1833	1.249
1834	1.746
1835	1.333
1836	1.104
1837	1.238
1838	1.255
1839	1.016
1840	1.18
1841	0.815
1842	0.978
1843	1.083
1844	1.251
1845	0.935
1846	0.957
1847	0.915
1848	0.984
1849	0.984
1850	1.023
1851	0.85
1852	1.043
1853	0.984
1854	0.828
1855	1.12
1856	0.997
1857	0.963
1858	0.959
1859	0.709
1860	0.835
1861	0.696
1862	0.879
1863	0.965
1864	0.728
1865	0.583
1866	0.783
1867	0.751
1868	0.942
1869	0.941
1870	0.934
1871	0.847
1872	0.902
1873	0.914
1874	0.966
1875	0.724
1876	0.928
1877	0.87
1878	1.199
1879	1.442
1880	1.157
1881	1.036
1882	0.979
1883	1.018
1884	0.954
1885	0.801
1886	0.794
1887	0.8
1888	0.944
1889	0.89
1890	0.689
1891	0.764
1892	0.687
1893	0.489
1894	0.827
1895	0.818
1896	0.882
1897	0.793
1898	1.036
1899	1.055
1900	1.003
1901	0.937
1902	0.95
1903	0.897
1904	0.874
1905	0.994
1906	0.969
1907	1.028
1908	0.803
1909	0.486
1910	0.865
1911	0.742
1912	1.003
1913	0.85
1914	0.487
1915	0.66
1916	1.014
1917	0.718
1918	1.033
1919	1.001
1920	1.466
1921	1.367
1922	1.319
1923	1.37
1924	1.478
1925	1.647
1926	1.761
1927	1.247
1928	1.365
1929	1.143
1930	1.277
1931	1.3
1932	1.305
1933	1.551
1934	1.073
1935	1.081
1936	1.051
1937	1.113
1938	1.395
1939	1.346
1940	1.278
1941	1.425
1942	1.335
1943	0.788
1944	0.886
1945	1.431
1946	1.539
1947	0.982
1948	1.125
1949	1.272
1950	1.252
1951	1.503
1952	1.079
1953	0.982
1954	1.004
1955	1.059
1956	0.893
1957	0.363
1958	0.469
1959	0.484
1960	0.58
1961	0.693
1962	0.518
1963	0.673
1964	0.634
1965	0.81
1966	0.914
1967	0.756
1968	0.673
1969	0.706
1970	0.804
1971	0.79
1972	0.874
1973	1.029
1974	1.043
1975	1.011
1976	0.898
1977	1.015
1978	0.876
1979	0.85
1980	0.939
1981	1.057
1982	1.167
1983	1.208
1984	1.334
1985	1.108
1986	1.149
1987	1.05
1988	0.958
1989	0.407