ÃÂ¯ÃÂ»ÃÂ¿# northamerica_mexico_mexi045 - Cuauhtemoc la Fragua - 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/8547
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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: northamerica_mexico_mexi045 - Cuauhtemoc la Fragua - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Cuauhtemoc la Fragua
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 19.17
#	Southernmost_Latitude: 19.17
#	Easternmost_Longitude: -97.32
#	Westernmost_Longitude: -97.32
#	Elevation: 3154 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_mexico_mexi045B
#	Earliest_Year: 1474
#	Most_Recent_Year: 2004
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]"}}{"VSLite_parameters":{"T1":"4.54305975167","T2":"14.6167119182","M1":"0.0226127945216","M2":"0.505694671128"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1474	0.847
1475	0.994
1476	1.113
1477	0.866
1478	1.044
1479	0.996
1480	1.211
1481	0.877
1482	1.657
1483	1.682
1484	1.876
1485	1.62
1486	1.813
1487	1.719
1488	1.67
1489	1.539
1490	1.784
1491	1.328
1492	1.363
1493	1.279
1494	1.279
1495	1.191
1496	0.942
1497	1.215
1498	1.63
1499	1.782
1500	1.193
1501	0.619
1502	1.173
1503	1.343
1504	0.993
1505	1.225
1506	1.273
1507	1.344
1508	0.869
1509	1.415
1510	1.117
1511	1.298
1512	1.451
1513	1.435
1514	0.982
1515	1.387
1516	1.041
1517	0.972
1518	0.957
1519	0.802
1520	1.085
1521	1.065
1522	1.025
1523	0.878
1524	0.852
1525	1
1526	0.886
1527	1.013
1528	0.667
1529	1.014
1530	1.03
1531	1.039
1532	0.925
1533	0.952
1534	0.85
1535	0.79
1536	0.968
1537	0.868
1538	0.868
1539	0.792
1540	0.924
1541	0.87
1542	0.879
1543	0.39
1544	0.616
1545	0.699
1546	0.656
1547	0.554
1548	0.55
1549	0.431
1550	0.323
1551	0.381
1552	0.806
1553	0.463
1554	0.695
1555	0.651
1556	0.875
1557	0.689
1558	0.656
1559	0.501
1560	0.776
1561	0.743
1562	0.403
1563	0.764
1564	0.449
1565	0.945
1566	0.807
1567	0.834
1568	0.726
1569	0.855
1570	0.896
1571	1.089
1572	0.858
1573	0.923
1574	0.877
1575	0.963
1576	1.17
1577	1.392
1578	1.212
1579	1.507
1580	1.063
1581	1.117
1582	0.984
1583	0.981
1584	0.949
1585	0.664
1586	0.942
1587	0.866
1588	1.058
1589	1.414
1590	1.245
1591	1.345
1592	1.448
1593	1.304
1594	0.586
1595	0.853
1596	0.625
1597	0.518
1598	0.692
1599	0.594
1600	0.612
1601	0.827
1602	0.866
1603	0.696
1604	0.827
1605	0.721
1606	0.507
1607	0.611
1608	0.697
1609	0.902
1610	1.278
1611	1.063
1612	0.925
1613	1.067
1614	1.153
1615	0.993
1616	1.09
1617	1.19
1618	1.246
1619	1.262
1620	0.902
1621	1.105
1622	0.948
1623	0.752
1624	0.855
1625	0.868
1626	0.855
1627	0.939
1628	1.01
1629	0.986
1630	1.047
1631	0.591
1632	1.046
1633	0.83
1634	0.89
1635	0.696
1636	1.054
1637	1.058
1638	0.983
1639	0.944
1640	1.014
1641	0.769
1642	1.088
1643	1.163
1644	1.253
1645	1.339
1646	0.925
1647	1.048
1648	1.13
1649	1.066
1650	1.04
1651	1.215
1652	1.062
1653	1.021
1654	0.98
1655	0.742
1656	1.173
1657	1.174
1658	0.942
1659	1.17
1660	1.302
1661	1.322
1662	1.209
1663	1.235
1664	1.334
1665	1.199
1666	0.959
1667	0.954
1668	1.062
1669	0.79
1670	0.755
1671	1.182
1672	1.087
1673	1.312
1674	0.951
1675	1.082
1676	1.266
1677	1.265
1678	1.165
1679	1.177
1680	0.956
1681	1.017
1682	0.999
1683	0.99
1684	1.034
1685	1.134
1686	1.209
1687	1.153
1688	1.321
1689	1.075
1690	1.096
1691	1.134
1692	1.337
1693	1.134
1694	0.995
1695	0.818
1696	0.873
1697	1.11
1698	0.837
1699	0.954
1700	1.016
1701	0.958
1702	0.492
1703	0.796
1704	0.699
1705	0.583
1706	0.782
1707	0.956
1708	0.902
1709	0.763
1710	0.649
1711	0.979
1712	1.06
1713	0.838
1714	0.893
1715	0.897
1716	0.978
1717	0.845
1718	0.778
1719	1.05
1720	0.817
1721	1.032
1722	1.037
1723	0.998
1724	0.861
1725	0.912
1726	0.915
1727	0.933
1728	1.227
1729	1.313
1730	0.886
1731	1.098
1732	1.129
1733	1.135
1734	1.059
1735	1.152
1736	1.315
1737	1.116
1738	1.263
1739	0.994
1740	1.159
1741	1.078
1742	0.919
1743	1.205
1744	1.146
1745	1.226
1746	1.144
1747	1.37
1748	1.123
1749	1.232
1750	0.882
1751	1.147
1752	1.488
1753	1.158
1754	1.199
1755	0.882
1756	1.216
1757	1.193
1758	1.007
1759	1.083
1760	1
1761	0.663
1762	0.965
1763	1.007
1764	0.793
1765	1.029
1766	1.061
1767	1.086
1768	1.18
1769	1.252
1770	1.107
1771	1.015
1772	1.032
1773	0.998
1774	1.107
1775	1.124
1776	0.834
1777	1.047
1778	1.11
1779	0.919
1780	0.759
1781	0.956
1782	1.167
1783	1.006
1784	1.303
1785	0.778
1786	0.586
1787	0.768
1788	0.813
1789	0.816
1790	0.51
1791	0.823
1792	1.114
1793	0.984
1794	1.199
1795	1.212
1796	1.094
1797	0.864
1798	0.839
1799	0.77
1800	1.022
1801	0.752
1802	1.135
1803	1.286
1804	1.05
1805	1.043
1806	1.201
1807	1.035
1808	0.947
1809	0.997
1810	1.021
1811	0.921
1812	1.174
1813	1.392
1814	1.237
1815	1.069
1816	1.046
1817	1.116
1818	1.014
1819	1.007
1820	0.875
1821	1.13
1822	0.799
1823	1.207
1824	1.179
1825	1.133
1826	1.113
1827	0.984
1828	1.043
1829	1.083
1830	1.075
1831	1.071
1832	1.275
1833	1.155
1834	1.186
1835	0.885
1836	0.832
1837	0.863
1838	0.839
1839	0.326
1840	0.778
1841	0.656
1842	0.799
1843	0.856
1844	0.864
1845	1.064
1846	1.126
1847	0.966
1848	1.172
1849	1.258
1850	1.245
1851	1.29
1852	1.523
1853	1.195
1854	1.226
1855	1.188
1856	1.169
1857	1.356
1858	1.057
1859	1.185
1860	0.791
1861	1.029
1862	0.853
1863	1.081
1864	0.89
1865	0.982
1866	1.071
1867	0.97
1868	0.521
1869	1.077
1870	0.958
1871	0.829
1872	0.784
1873	0.856
1874	1.072
1875	0.675
1876	0.895
1877	1.094
1878	0.555
1879	0.87
1880	0.932
1881	1.084
1882	1.006
1883	1.173
1884	0.807
1885	0.805
1886	0.992
1887	1.021
1888	1.016
1889	0.943
1890	0.819
1891	0.903
1892	0.779
1893	1.003
1894	0.526
1895	0.49
1896	0.352
1897	0.524
1898	0.979
1899	0.814
1900	0.634
1901	0.664
1902	0.504
1903	0.763
1904	1.191
1905	1.356
1906	1.689
1907	1.704
1908	1.324
1909	0.671
1910	1.079
1911	1.064
1912	0.957
1913	1.365
1914	1.135
1915	0.768
1916	1.089
1917	1.02
1918	1.063
1919	0.871
1920	1.229
1921	1.346
1922	0.849
1923	1.523
1924	0.977
1925	1.24
1926	1.346
1927	1.14
1928	0.797
1929	0.673
1930	0.933
1931	0.874
1932	0.646
1933	0.447
1934	0.982
1935	0.923
1936	0.832
1937	1.103
1938	1.117
1939	0.937
1940	1.021
1941	0.92
1942	1.193
1943	1.092
1944	0.955
1945	0.833
1946	0.958
1947	1.052
1948	0.873
1949	0.713
1950	1.295
1951	1.188
1952	1.398
1953	1.224
1954	1.107
1955	1.1
1956	0.984
1957	0.969
1958	0.812
1959	0.886
1960	0.622
1961	0.681
1962	0.455
1963	0.597
1964	0.445
1965	0.647
1966	0.811
1967	0.774
1968	1.201
1969	0.85
1970	0.807
1971	0.634
1972	1.02
1973	0.725
1974	1.313
1975	1.193
1976	1.451
1977	0.69
1978	1.079
1979	0.871
1980	0.856
1981	1.137
1982	0.969
1983	0.378
1984	0.853
1985	1.089
1986	0.951
1987	1.052
1988	0.789
1989	1.024
1990	1.027
1991	1.094
1992	1.585
1993	1.348
1994	1.172
1995	0.859
1996	1.006
1997	1.24
1998	0.584
1999	1.055
2000	1.046
2001	0.979
2002	0.596
2003	1.018
2004	1.598