# northamerica_mexico_mexi028 - El Tabacote and Tomochic - 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/4848
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_mexico_mexi028 - El Tabacote and Tomochic - 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: El Tabacote and Tomochic
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 28.33
#	Southernmost_Latitude: 28.33
#	Easternmost_Longitude: -108.0
#	Westernmost_Longitude: -108.0
#	Elevation: 2250 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_mexico_mexi028B
#	Earliest_Year: 1639
#	Most_Recent_Year: 1993
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.23775089425","T2":"14.2397825329","M1":"0.0226773132328","M2":"0.550775585624"}}
#--------------------
# 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
1639	1.618
1640	1.032
1641	0.858
1642	1.042
1643	1.242
1644	0.83
1645	1.135
1646	0.925
1647	0.759
1648	0.613
1649	0.809
1650	1.478
1651	2.007
1652	0.776
1653	0.375
1654	0.872
1655	0.883
1656	1.007
1657	0.848
1658	1.051
1659	0.938
1660	1.188
1661	1.409
1662	0.983
1663	0.961
1664	0.982
1665	1.454
1666	1.229
1667	0.838
1668	0.712
1669	0.674
1670	0.888
1671	1.352
1672	0.655
1673	0.825
1674	1.068
1675	0.732
1676	0.744
1677	1.301
1678	0.627
1679	0.624
1680	1.05
1681	1.055
1682	0.683
1683	1.03
1684	0.693
1685	0.583
1686	1.243
1687	1.439
1688	0.969
1689	0.976
1690	1.706
1691	0.88
1692	1.116
1693	1.01
1694	1.282
1695	0.952
1696	0.539
1697	1.086
1698	0.642
1699	1.026
1700	0.775
1701	1.021
1702	0.593
1703	0.558
1704	0.658
1705	0.793
1706	0.759
1707	0.918
1708	0.994
1709	1.061
1710	1.18
1711	0.807
1712	0.991
1713	1.112
1714	0.967
1715	0.753
1716	1.037
1717	1.008
1718	1.405
1719	0.903
1720	1.182
1721	1.061
1722	0.87
1723	0.938
1724	0.714
1725	0.48
1726	1.067
1727	1.495
1728	1.299
1729	1.003
1730	0.626
1731	0.876
1732	0.635
1733	0.611
1734	0.858
1735	0.897
1736	1.17
1737	1.609
1738	1.472
1739	0.945
1740	0.934
1741	1.031
1742	0.355
1743	1.002
1744	1.256
1745	0.974
1746	1.809
1747	1.207
1748	0.95
1749	1.367
1750	1.028
1751	1.313
1752	0.659
1753	0.741
1754	0.429
1755	0.76
1756	1.155
1757	0.934
1758	1.158
1759	1.033
1760	0.913
1761	0.775
1762	0.952
1763	0.492
1764	0.91
1765	0.99
1766	0.905
1767	0.97
1768	0.838
1769	1.609
1770	0.983
1771	1.11
1772	0.61
1773	0.701
1774	0.705
1775	0.836
1776	0.954
1777	1.11
1778	0.746
1779	1.045
1780	0.994
1781	0.852
1782	0.813
1783	1.095
1784	1.184
1785	0.57
1786	0.886
1787	0.903
1788	1.036
1789	0.637
1790	0.752
1791	1.584
1792	1.336
1793	1.394
1794	1.047
1795	1.136
1796	1.127
1797	0.856
1798	0.547
1799	0.847
1800	1.1
1801	0.63
1802	0.756
1803	0.829
1804	0.991
1805	0.557
1806	0.881
1807	0.972
1808	0.845
1809	0.918
1810	1.005
1811	1.018
1812	0.941
1813	1.221
1814	1.305
1815	1.493
1816	1.392
1817	1.183
1818	1.036
1819	0.822
1820	0.674
1821	0.824
1822	0.975
1823	1.238
1824	1.18
1825	0.893
1826	0.878
1827	1.305
1828	0.964
1829	1.075
1830	0.748
1831	0.879
1832	0.584
1833	1.394
1834	1.004
1835	0.927
1836	0.834
1837	1.197
1838	1.018
1839	1.298
1840	0.825
1841	0.737
1842	0.834
1843	0.913
1844	1.125
1845	0.918
1846	1.064
1847	0.903
1848	1.219
1849	1.218
1850	1.174
1851	0.972
1852	1.469
1853	1.166
1854	1.048
1855	0.83
1856	1.149
1857	0.64
1858	1.07
1859	0.831
1860	0.76
1861	0.943
1862	0.689
1863	0.807
1864	0.83
1865	0.927
1866	0.972
1867	0.933
1868	0.928
1869	1.14
1870	1.046
1871	1.039
1872	1.398
1873	1.289
1874	1.235
1875	1.398
1876	1.315
1877	1.206
1878	1.001
1879	0.996
1880	0.697
1881	1.089
1882	1.008
1883	0.756
1884	0.96
1885	1.096
1886	0.829
1887	0.604
1888	1.313
1889	1.126
1890	0.945
1891	1.091
1892	0.944
1893	0.711
1894	0.657
1895	1.135
1896	1.03
1897	1.001
1898	0.91
1899	0.893
1900	1.167
1901	1.011
1902	0.632
1903	1.108
1904	0.622
1905	1.4
1906	1.198
1907	0.836
1908	1.12
1909	0.834
1910	0.821
1911	0.663
1912	1.055
1913	1.033
1914	1.017
1915	1.179
1916	0.762
1917	0.908
1918	1.008
1919	1.379
1920	1.417
1921	1.0
1922	1.003
1923	1.071
1924	1.282
1925	0.918
1926	1.505
1927	1.076
1928	1.4
1929	0.884
1930	1.272
1931	1.225
1932	1.231
1933	1.402
1934	0.852
1935	1.028
1936	0.894
1937	0.835
1938	0.953
1939	0.745
1940	1.275
1941	1.299
1942	1.247
1943	0.872
1944	1.309
1945	0.757
1946	0.706
1947	1.228
1948	0.932
1949	1.097
1950	1.066
1951	0.688
1952	1.044
1953	0.866
1954	0.491
1955	0.748
1956	0.632
1957	0.799
1958	1.01
1959	0.844
1960	0.935
1961	0.816
1962	0.937
1963	0.585
1964	0.952
1965	0.681
1966	0.904
1967	0.64
1968	1.178
1969	0.774
1970	0.949
1971	0.649
1972	0.975
1973	1.312
1974	0.479
1975	1.129
1976	0.929
1977	0.994
1978	0.633
1979	0.893
1980	0.365
1981	0.889
1982	0.317
1983	0.904
1984	0.616
1985	0.847
1986	0.311
1987	0.786
1988	0.609
1989	0.721
1990	0.676
1991	0.858
1992	1.141
1993	0.943