# northamerica_mexico_mexi043 - Cienega de Nuestra Senora de Guadalupe - 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:
#
# Original_Source_URL:
#
# 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_mexi043 - Cienega de Nuestra Senora de Guadalupe - 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 Vaganov–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 4–6 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 model’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.
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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
# Site_Information
#	Site_Name: Cienega de Nuestra Senora de Guadalupe
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 25.07
#	Southernmost_Latitude: 25.07
#	Easternmost_Longitude: -106.3
#	Westernmost_Longitude: -106.3
#	Elevation: 2000 m
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# Data_Collection
#	Collection_Name: northamerica_mexico_mexi043B
#	Earliest_Year: 1758
#	Most_Recent_Year: 1993
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"moisture"}{"T1":"3.86030599563"}{"T2":"14.2491094022"}{"M1":"0.0230109017379"}{"M2":"0.512597328844"}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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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
1758	0.854
1759	1.273
1760	0.791
1761	0.686
1762	0.754
1763	0.577
1764	0.846
1765	0.806
1766	0.951
1767	0.837
1768	0.725
1769	1.167
1770	1.431
1771	1.245
1772	0.857
1773	0.979
1774	0.993
1775	0.937
1776	1.067
1777	1.06
1778	0.954
1779	1.273
1780	1.217
1781	1.303
1782	1.139
1783	1.144
1784	1.119
1785	0.951
1786	0.841
1787	0.779
1788	0.797
1789	0.698
1790	0.757
1791	1.163
1792	1.352
1793	1.306
1794	0.909
1795	1.081
1796	1.009
1797	0.99
1798	0.759
1799	1.035
1800	1.141
1801	0.887
1802	0.872
1803	0.951
1804	1.21
1805	0.801
1806	0.872
1807	0.919
1808	0.971
1809	0.885
1810	0.9
1811	0.88
1812	1.058
1813	1.049
1814	1.235
1815	1.106
1816	1.112
1817	0.92
1818	1.018
1819	1.044
1820	0.906
1821	1.09
1822	1.087
1823	0.712
1824	0.964
1825	0.823
1826	0.827
1827	1.18
1828	1.114
1829	1.14
1830	1.127
1831	0.945
1832	1.199
1833	1.386
1834	1.058
1835	0.997
1836	1.084
1837	0.909
1838	0.789
1839	0.959
1840	1.057
1841	1.013
1842	1.12
1843	0.939
1844	1.025
1845	0.855
1846	0.881
1847	0.787
1848	0.878
1849	0.967
1850	0.989
1851	1.176
1852	1.245
1853	0.967
1854	0.595
1855	0.642
1856	0.987
1857	0.874
1858	1.113
1859	0.94
1860	0.737
1861	0.955
1862	0.657
1863	0.997
1864	1.237
1865	1.261
1866	0.677
1867	0.794
1868	0.696
1869	1.08
1870	0.938
1871	0.823
1872	1.066
1873	1.233
1874	1.12
1875	0.936
1876	1.168
1877	1.139
1878	1.411
1879	1.182
1880	0.665
1881	1.045
1882	1.07
1883	1.173
1884	1.523
1885	1.393
1886	1.132
1887	0.644
1888	1.109
1889	1.192
1890	0.426
1891	0.955
1892	1.032
1893	0.457
1894	0.618
1895	0.659
1896	0.979
1897	1.231
1898	0.844
1899	0.81
1900	1.112
1901	0.714
1902	0.679
1903	1.313
1904	0.799
1905	1.51
1906	1.18
1907	0.898
1908	1.191
1909	0.419
1910	0.621
1911	1.048
1912	1.286
1913	1.485
1914	1.112
1915	1.266
1916	1.577
1917	1.089
1918	0.78
1919	0.998
1920	1.133
1921	0.724
1922	0.803
1923	0.775
1924	1.117
1925	0.618
1926	1.068
1927	1.127
1928	1.018
1929	0.722
1930	0.905
1931	1.211
1932	0.962
1933	1.018
1934	0.508
1935	0.774
1936	0.736
1937	0.758
1938	0.908
1939	0.779
1940	1.293
1941	1.2
1942	1.29
1943	0.91
1944	1.441
1945	1.084
1946	0.846
1947	1.097
1948	1.221
1949	0.986
1950	0.907
1951	0.551
1952	0.849
1953	0.877
1954	0.81
1955	0.662
1956	0.436
1957	1.073
1958	1.3
1959	1.103
1960	1.119
1961	1.125
1962	1.102
1963	0.891
1964	1.394
1965	1.118
1966	1.312
1967	0.731
1968	1.286
1969	1.303
1970	1.187
1971	0.421
1972	0.773
1973	0.857
1974	0.417
1975	1.049
1976	0.606
1977	1.194
1978	0.805
1979	1.114
1980	0.738
1981	1.542
1982	0.719
1983	1.611
1984	1.121
1985	1.485
1986	0.832
1987	1.129
1988	0.692
1989	0.625
1990	0.941
1991	0.6
1992	1.034
1993	0.703