# northamerica_mexico_mexi021 - Nevado de Colima (MEXICO)      ARSTAN   STANDARD - 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/2758
#
# 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_mexi021 - Nevado de Colima (MEXICO)      ARSTAN   STANDARD - 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.
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# 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: Nevado de Colima (MEXICO)      ARSTAN   STANDARD
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 19.58
#	Southernmost_Latitude: 19.58
#	Easternmost_Longitude: -103.62
#	Westernmost_Longitude: -103.62
#	Elevation: 3700 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_mexico_mexi021B
#	Earliest_Year: 1627
#	Most_Recent_Year: 1997
#	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":"4.95007694942","T2":"16.360833381","M1":"0.0227193695436","M2":"0.44204721121"}}
#--------------------
# Species
#	Species_Name: Mexican Mountain pine
#	Species_Code: PIHR
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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
1627	0.86
1628	0.738
1629	0.679
1630	0.79
1631	0.803
1632	0.76
1633	0.913
1634	1.122
1635	1.463
1636	1.478
1637	1.126
1638	0.926
1639	0.953
1640	1.22
1641	1.132
1642	0.947
1643	1.009
1644	0.939
1645	0.851
1646	0.72
1647	0.931
1648	1.154
1649	1.159
1650	1.141
1651	0.994
1652	0.771
1653	0.649
1654	0.381
1655	0.29
1656	0.694
1657	1.047
1658	1.01
1659	1.013
1660	1.184
1661	1.396
1662	1.283
1663	0.962
1664	1.014
1665	1.023
1666	1.026
1667	1.076
1668	0.989
1669	1.198
1670	1.308
1671	1.24
1672	1.233
1673	1.037
1674	0.969
1675	0.856
1676	0.873
1677	0.887
1678	0.929
1679	1.002
1680	0.997
1681	1.025
1682	1.011
1683	1.033
1684	1.057
1685	1.283
1686	1.493
1687	1.478
1688	1.432
1689	1.223
1690	0.935
1691	0.81
1692	1.028
1693	1.22
1694	1.285
1695	0.942
1696	1.143
1697	1.086
1698	0.867
1699	0.917
1700	0.844
1701	0.719
1702	0.985
1703	0.975
1704	0.806
1705	0.937
1706	1.187
1707	1.031
1708	0.773
1709	0.942
1710	0.842
1711	1.108
1712	1.255
1713	1.201
1714	1.231
1715	1.07
1716	0.809
1717	0.806
1718	0.976
1719	1.397
1720	1.268
1721	1.128
1722	1.229
1723	1.078
1724	0.66
1725	0.749
1726	1.086
1727	1.161
1728	1.029
1729	1.01
1730	0.944
1731	0.88
1732	0.89
1733	0.898
1734	0.91
1735	0.881
1736	0.725
1737	0.82
1738	0.886
1739	0.976
1740	1.095
1741	1.065
1742	0.9
1743	0.895
1744	1.062
1745	1.152
1746	1.194
1747	1.282
1748	1.031
1749	0.808
1750	0.863
1751	0.969
1752	1.149
1753	0.915
1754	0.799
1755	0.919
1756	0.871
1757	0.759
1758	0.753
1759	0.999
1760	1.064
1761	1.123
1762	0.98
1763	1.001
1764	1.041
1765	0.745
1766	0.886
1767	0.809
1768	0.639
1769	0.685
1770	0.657
1771	0.768
1772	1.068
1773	1.355
1774	1.073
1775	0.996
1776	0.996
1777	0.994
1778	0.862
1779	0.837
1780	1.098
1781	1.16
1782	1.132
1783	0.994
1784	0.887
1785	0.768
1786	0.907
1787	1.09
1788	1.168
1789	1.201
1790	1.141
1791	1.292
1792	1.308
1793	0.884
1794	0.907
1795	1.04
1796	1.313
1797	1.26
1798	1.126
1799	1.35
1800	1.359
1801	1.364
1802	1.159
1803	1.338
1804	1.55
1805	1.418
1806	1.169
1807	1.073
1808	1.282
1809	1.043
1810	1.132
1811	1.168
1812	1.118
1813	1.046
1814	0.77
1815	0.494
1816	0.235
1817	0.448
1818	0.721
1819	0.846
1820	0.715
1821	0.631
1822	0.569
1823	0.527
1824	0.715
1825	0.893
1826	0.85
1827	0.864
1828	1.053
1829	0.933
1830	1.008
1831	1.217
1832	0.957
1833	0.904
1834	0.953
1835	0.8
1836	0.722
1837	0.884
1838	1.179
1839	1.101
1840	0.991
1841	0.888
1842	0.774
1843	0.569
1844	0.619
1845	0.879
1846	0.817
1847	0.61
1848	0.499
1849	0.646
1850	0.775
1851	0.805
1852	0.885
1853	1.011
1854	1.094
1855	0.818
1856	0.861
1857	0.793
1858	0.894
1859	0.971
1860	1.022
1861	0.857
1862	0.982
1863	0.999
1864	1.025
1865	1.058
1866	1.227
1867	1.268
1868	1.262
1869	1.304
1870	1.179
1871	1.285
1872	1.177
1873	1.257
1874	1.219
1875	1.289
1876	1.296
1877	1.285
1878	1.716
1879	1.097
1880	0.637
1881	0.749
1882	1.066
1883	1.005
1884	1.095
1885	1.203
1886	1.288
1887	1.078
1888	0.859
1889	0.953
1890	0.902
1891	0.865
1892	0.931
1893	0.996
1894	1.029
1895	0.986
1896	1.026
1897	1.103
1898	0.845
1899	0.855
1900	0.977
1901	1.064
1902	1.075
1903	1.006
1904	0.871
1905	1.188
1906	1.396
1907	1.259
1908	0.886
1909	0.775
1910	0.728
1911	1.043
1912	1.1
1913	0.184
1914	0.377
1915	1.025
1916	1.454
1917	1.103
1918	0.928
1919	1.015
1920	0.967
1921	1.097
1922	0.942
1923	0.992
1924	0.978
1925	0.929
1926	0.741
1927	0.626
1928	0.562
1929	0.764
1930	1.1
1931	1.009
1932	0.765
1933	1.025
1934	0.738
1935	0.604
1936	0.702
1937	0.563
1938	0.479
1939	0.641
1940	0.911
1941	0.8
1942	0.777
1943	0.683
1944	0.858
1945	1.0
1946	1.051
1947	0.955
1948	0.96
1949	0.915
1950	0.926
1951	1.125
1952	1.445
1953	1.449
1954	0.932
1955	0.855
1956	0.937
1957	1.043
1958	1.088
1959	0.832
1960	0.964
1961	1.364
1962	1.327
1963	1.285
1964	1.332
1965	0.973
1966	1.046
1967	1.119
1968	0.927
1969	1.083
1970	1.054
1971	0.753
1972	0.916
1973	1.052
1974	1.094
1975	1.016
1976	0.917
1977	0.907
1978	0.989
1979	0.964
1980	0.943
1981	0.808
1982	0.99
1983	0.972
1984	0.877
1985	0.879
1986	0.945
1987	1.607
1988	1.549
1989	1.064
1990	1.17
1991	1.107
1992	0.837
1993	1.007
1994	1.14
1995	0.889
1996	1.053
1997	1.038