ÃÂ¯ÃÂ»ÃÂ¿# southamerica_arge073 - Cerro del Guanaco - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5149
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge073 - Cerro del Guanaco - 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 del Guanaco
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -41.03
#	Southernmost_Latitude: -41.03
#	Easternmost_Longitude: -70.98
#	Westernmost_Longitude: -70.98
#	Elevation: 1150 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge073B
#	Earliest_Year: 1497
#	Most_Recent_Year: 1991
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"3.25080271073","T2":"14.1767305477","M1":"0.0231167754354","M2":"0.529847704765"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014.
#--------------------
# Species
#	Species_Name: Chilean cedar
#	Species_Code: AUCH
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# Chronology:
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# 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
1497	0.799
1498	0.92
1499	0.973
1500	1.139
1501	1.171
1502	0.95
1503	0.947
1504	1.236
1505	1.27
1506	1.083
1507	1.176
1508	1.071
1509	0.84
1510	1.075
1511	1.028
1512	0.998
1513	0.776
1514	0.853
1515	0.764
1516	0.881
1517	0.8
1518	0.698
1519	0.793
1520	0.869
1521	0.804
1522	0.86
1523	0.787
1524	1.013
1525	1.314
1526	1.118
1527	1.078
1528	0.888
1529	0.944
1530	0.808
1531	0.959
1532	1.096
1533	0.992
1534	0.793
1535	0.915
1536	1.306
1537	1.43
1538	1.116
1539	0.898
1540	0.698
1541	1.021
1542	1.201
1543	1.222
1544	1.486
1545	1.138
1546	1.173
1547	0.992
1548	0.987
1549	0.889
1550	1.014
1551	1.017
1552	1.347
1553	1.128
1554	0.782
1555	0.691
1556	0.995
1557	0.962
1558	0.727
1559	0.944
1560	1.122
1561	1.071
1562	1.225
1563	1.277
1564	1.08
1565	0.866
1566	0.812
1567	0.868
1568	1.14
1569	1.449
1570	1.033
1571	1.231
1572	1.168
1573	0.922
1574	1.223
1575	1.001
1576	1.022
1577	1.077
1578	1.169
1579	1.195
1580	0.992
1581	0.973
1582	0.824
1583	1.067
1584	1.55
1585	1.207
1586	1.099
1587	0.95
1588	1.027
1589	1.214
1590	1.17
1591	1.015
1592	0.81
1593	0.648
1594	0.689
1595	0.562
1596	0.704
1597	0.863
1598	0.879
1599	0.678
1600	1.04
1601	1.035
1602	0.773
1603	0.652
1604	0.82
1605	1.059
1606	1.366
1607	1.239
1608	0.815
1609	1.156
1610	0.981
1611	0.877
1612	0.88
1613	0.919
1614	1.033
1615	0.882
1616	0.881
1617	1.144
1618	1.311
1619	1.244
1620	1.203
1621	1.189
1622	0.7
1623	0.863
1624	0.823
1625	0.844
1626	0.782
1627	1.096
1628	1.184
1629	0.923
1630	0.957
1631	1.261
1632	1.07
1633	0.832
1634	1.256
1635	1.512
1636	1.446
1637	1.299
1638	1.269
1639	0.954
1640	0.793
1641	1.069
1642	1.352
1643	1.187
1644	1.053
1645	0.731
1646	0.597
1647	0.606
1648	1.075
1649	0.932
1650	0.787
1651	0.983
1652	1.011
1653	0.981
1654	1.132
1655	0.653
1656	0.671
1657	0.623
1658	1.058
1659	1.267
1660	0.994
1661	0.926
1662	0.756
1663	0.894
1664	0.909
1665	0.92
1666	0.987
1667	0.816
1668	1.14
1669	0.929
1670	1.146
1671	1.602
1672	1.37
1673	1.081
1674	1.339
1675	0.962
1676	0.687
1677	0.844
1678	0.693
1679	0.84
1680	0.95
1681	0.707
1682	0.382
1683	0.484
1684	0.955
1685	1.032
1686	0.857
1687	0.77
1688	1.245
1689	0.794
1690	1.226
1691	1.218
1692	1.176
1693	0.965
1694	1.358
1695	1.495
1696	1.504
1697	1.441
1698	0.941
1699	0.772
1700	0.98
1701	0.945
1702	1.066
1703	1.451
1704	1.745
1705	1.22
1706	1.083
1707	1.088
1708	1.398
1709	1.401
1710	1.101
1711	1.312
1712	1.301
1713	0.958
1714	0.683
1715	0.728
1716	0.59
1717	0.702
1718	0.575
1719	0.587
1720	1.04
1721	0.957
1722	0.741
1723	0.838
1724	0.675
1725	0.769
1726	0.801
1727	0.857
1728	1.051
1729	0.792
1730	0.797
1731	0.816
1732	0.776
1733	0.756
1734	0.904
1735	0.835
1736	0.842
1737	0.659
1738	0.767
1739	0.66
1740	0.716
1741	0.741
1742	0.761
1743	0.708
1744	0.608
1745	0.567
1746	0.641
1747	0.37
1748	0.67
1749	1.015
1750	0.942
1751	0.683
1752	0.801
1753	0.747
1754	0.939
1755	0.482
1756	0.971
1757	0.891
1758	0.739
1759	0.719
1760	1.253
1761	1.238
1762	0.832
1763	1.02
1764	1.021
1765	0.93
1766	1
1767	0.714
1768	0.866
1769	0.997
1770	0.846
1771	0.964
1772	0.925
1773	0.964
1774	0.957
1775	0.961
1776	0.993
1777	1.139
1778	0.977
1779	0.743
1780	0.711
1781	1.071
1782	0.905
1783	0.643
1784	0.884
1785	0.826
1786	0.715
1787	0.92
1788	1.151
1789	1.179
1790	1.13
1791	1.157
1792	0.97
1793	0.796
1794	0.79
1795	0.656
1796	0.741
1797	1.083
1798	0.946
1799	0.637
1800	0.639
1801	0.701
1802	0.663
1803	0.762
1804	0.644
1805	0.802
1806	0.727
1807	0.602
1808	0.975
1809	1.042
1810	0.971
1811	1.001
1812	1.13
1813	0.483
1814	0.746
1815	0.806
1816	0.909
1817	0.928
1818	0.808
1819	0.679
1820	0.48
1821	0.356
1822	0.507
1823	0.678
1824	0.676
1825	0.871
1826	0.866
1827	0.661
1828	0.777
1829	1.122
1830	1.125
1831	1.163
1832	1.152
1833	1.192
1834	1.396
1835	1.036
1836	0.933
1837	1.188
1838	1.236
1839	1.048
1840	1.253
1841	0.944
1842	1.03
1843	1.284
1844	1.308
1845	0.757
1846	0.947
1847	0.904
1848	1.023
1849	1.006
1850	1.023
1851	0.971
1852	1.277
1853	1.175
1854	1.005
1855	1.045
1856	1.139
1857	1.314
1858	1.14
1859	0.804
1860	0.833
1861	0.91
1862	0.971
1863	1.403
1864	1.113
1865	0.734
1866	0.899
1867	0.942
1868	1.39
1869	1.523
1870	1.57
1871	1.292
1872	1.327
1873	1.232
1874	1.37
1875	1.268
1876	1.299
1877	0.669
1878	0.977
1879	1.218
1880	1.093
1881	0.818
1882	0.833
1883	0.883
1884	0.904
1885	0.863
1886	1.011
1887	0.874
1888	0.99
1889	1.122
1890	1.037
1891	0.997
1892	1.088
1893	0.799
1894	0.954
1895	0.895
1896	0.79
1897	0.763
1898	1.145
1899	0.939
1900	0.898
1901	0.83
1902	0.821
1903	0.771
1904	0.793
1905	0.697
1906	0.802
1907	0.884
1908	0.758
1909	0.917
1910	1.007
1911	0.743
1912	0.688
1913	0.542
1914	0.66
1915	0.902
1916	0.974
1917	0.72
1918	1.082
1919	1.01
1920	1.364
1921	1.272
1922	0.848
1923	0.543
1924	0.213
1925	0.607
1926	1.022
1927	0.863
1928	1.081
1929	1.046
1930	0.925
1931	1.071
1932	0.986
1933	1.165
1934	1.177
1935	1.211
1936	1.09
1937	1.109
1938	1.419
1939	1.464
1940	1.565
1941	1.796
1942	1.651
1943	0.82
1944	0.951
1945	1.897
1946	1.716
1947	1.32
1948	1.343
1949	1.206
1950	0.896
1951	1.22
1952	1.105
1953	1.035
1954	0.934
1955	1.096
1956	1.301
1957	0.628
1958	0.904
1959	1
1960	0.75
1961	0.689
1962	0.61
1963	0.764
1964	0.982
1965	1.071
1966	1.095
1967	0.839
1968	0.629
1969	0.73
1970	0.817
1971	0.864
1972	0.88
1973	1.055
1974	1.233
1975	1.239
1976	1.005
1977	1.191
1978	0.998
1979	0.78
1980	1.127
1981	1.01
1982	1.119
1983	1.134
1984	1.262
1985	1.095
1986	0.828
1987	0.835
1988	0.932
1989	0.713
1990	0.704
1991	0.841