# northamerica_mexico_mexi037 - Villareal - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4951
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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_mexi037 - Villareal - 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
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# Site_Information
#	Site_Name: Villareal
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 19.53
#	Southernmost_Latitude: 19.53
#	Easternmost_Longitude: -97.88
#	Westernmost_Longitude: -97.88
#	Elevation: 3120 m
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# Data_Collection
#	Collection_Name: northamerica_mexico_mexi037B
#	Earliest_Year: 1727
#	Most_Recent_Year: 2000
#	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":"4.42042907512","T2":"14.2742872267","M1":"0.0222958585251","M2":"0.543772990696"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
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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
1727	0.67
1728	1.037
1729	0.897
1730	0.791
1731	0.673
1732	1.05
1733	0.927
1734	1.139
1735	1.426
1736	1.263
1737	1.037
1738	1.224
1739	1.093
1740	1.38
1741	0.95
1742	0.648
1743	0.75
1744	0.948
1745	1.045
1746	0.951
1747	0.949
1748	0.848
1749	0.997
1750	0.619
1751	0.815
1752	1.161
1753	0.93
1754	1.032
1755	1.129
1756	1.061
1757	1.175
1758	0.852
1759	1.06
1760	1.18
1761	0.906
1762	0.952
1763	1.28
1764	0.673
1765	0.608
1766	0.971
1767	0.744
1768	1.195
1769	1.638
1770	1.765
1771	1.178
1772	1.254
1773	1.32
1774	1.217
1775	1.166
1776	0.686
1777	1.003
1778	0.909
1779	0.652
1780	0.592
1781	0.665
1782	0.958
1783	1.001
1784	1.633
1785	0.894
1786	0.758
1787	0.898
1788	1.405
1789	1.193
1790	1.093
1791	1.191
1792	1.233
1793	1.241
1794	1.148
1795	1.138
1796	1.102
1797	0.777
1798	0.735
1799	0.914
1800	1.668
1801	0.879
1802	1.01
1803	1.254
1804	0.836
1805	0.714
1806	0.948
1807	0.68
1808	0.612
1809	0.937
1810	0.909
1811	0.824
1812	0.844
1813	1.097
1814	1.015
1815	1.337
1816	1.313
1817	1.34
1818	1.022
1819	1.34
1820	1.089
1821	1.134
1822	1.07
1823	1.308
1824	1.36
1825	0.979
1826	1.098
1827	0.834
1828	0.714
1829	0.868
1830	0.767
1831	0.653
1832	1.056
1833	1.021
1834	1.11
1835	0.847
1836	1.009
1837	0.833
1838	0.896
1839	0.744
1840	1.11
1841	0.757
1842	1.066
1843	0.829
1844	0.877
1845	0.998
1846	0.931
1847	0.783
1848	0.948
1849	0.857
1850	0.737
1851	0.982
1852	1.008
1853	0.891
1854	0.756
1855	0.724
1856	0.741
1857	1.174
1858	0.843
1859	1.007
1860	0.844
1861	1.162
1862	0.674
1863	0.887
1864	0.995
1865	0.916
1866	1.093
1867	1.088
1868	0.711
1869	1.454
1870	0.957
1871	0.991
1872	1.081
1873	0.865
1874	0.901
1875	0.723
1876	0.898
1877	1.225
1878	0.694
1879	0.659
1880	0.718
1881	0.9
1882	0.846
1883	1.345
1884	0.753
1885	1.026
1886	1.353
1887	1.1
1888	1.392
1889	1.041
1890	0.869
1891	1.004
1892	0.822
1893	1.215
1894	0.767
1895	0.854
1896	0.505
1897	0.662
1898	0.901
1899	0.902
1900	0.686
1901	0.818
1902	0.585
1903	0.674
1904	1.043
1905	1.114
1906	1.345
1907	1.384
1908	1.38
1909	0.986
1910	1.187
1911	0.977
1912	0.805
1913	0.937
1914	1.543
1915	0.834
1916	0.752
1917	0.743
1918	0.701
1919	0.979
1920	1.014
1921	1.321
1922	0.996
1923	1.427
1924	1.028
1925	1.487
1926	1.641
1927	1.124
1928	0.859
1929	0.796
1930	0.978
1931	1.004
1932	0.701
1933	0.556
1934	0.96
1935	1.059
1936	0.936
1937	1.213
1938	1.297
1939	1.22
1940	0.887
1941	1.013
1942	0.935
1943	1.171
1944	1.043
1945	0.738
1946	1.11
1947	0.984
1948	1.066
1949	0.748
1950	1.179
1951	0.916
1952	1.119
1953	0.792
1954	1.381
1955	0.876
1956	1.379
1957	0.928
1958	1.037
1959	1.191
1960	0.944
1961	0.872
1962	1.021
1963	0.826
1964	0.808
1965	0.882
1966	1.325
1967	0.872
1968	1.295
1969	0.717
1970	0.748
1971	0.747
1972	0.972
1973	0.739
1974	1.446
1975	0.855
1976	1.336
1977	0.943
1978	1.059
1979	0.839
1980	0.673
1981	1.329
1982	0.856
1983	0.505
1984	0.568
1985	1.092
1986	0.911
1987	0.92
1988	0.668
1989	0.913
1990	0.942
1991	0.811
1992	1.762
1993	1.042
1994	1.093
1995	1.063
1996	1.444
1997	1.389
1998	0.654
1999	0.493
2000	0.729