# northamerica_mexico_mexi034 - Rancho del Cielo - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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.
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# 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/4930
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
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# Title
#	Study_Name: northamerica_mexico_mexi034 - Rancho del Cielo - Breitenmoser Tree Ring Chronology Data
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# 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
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# 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.
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#	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: Rancho del Cielo
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 23.1
#	Southernmost_Latitude: 23.1
#	Easternmost_Longitude: -99.23
#	Westernmost_Longitude: -99.23
#	Elevation: 1800 m
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# Data_Collection
#	Collection_Name: northamerica_mexico_mexi034B
#	Earliest_Year: 1818
#	Most_Recent_Year: 1995
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]"}}{"VSLite_parameters":{"T1":"4.89661230203","T2":"16.4307979978","M1":"0.0222069107055","M2":"0.207283462022"}}
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# Species
#	Species_Name: Montezuma pine
#	Species_Code: PIMZ
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# Chronology:
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# Variables
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# 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)
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##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1818	0.679
1819	0.7
1820	0.81
1821	1.023
1822	1.243
1823	1.057
1824	1.172
1825	1.131
1826	1.282
1827	0.687
1828	0.849
1829	1.226
1830	0.792
1831	0.511
1832	0.817
1833	1.26
1834	1.207
1835	1.019
1836	0.794
1837	1.307
1838	0.947
1839	1.156
1840	0.723
1841	1.248
1842	1.005
1843	1.1
1844	1.485
1845	1.031
1846	1.071
1847	0.986
1848	1.132
1849	0.788
1850	0.685
1851	1.07
1852	0.702
1853	0.721
1854	0.62
1855	0.267
1856	0.794
1857	0.469
1858	0.77
1859	0.802
1860	0.955
1861	1.13
1862	0.176
1863	0.852
1864	1.014
1865	1.003
1866	0.89
1867	0.344
1868	0.288
1869	0.881
1870	0.833
1871	0.509
1872	0.857
1873	1.318
1874	1.099
1875	0.992
1876	0.989
1877	1.583
1878	1.518
1879	1.305
1880	0.798
1881	1.0
1882	1.177
1883	1.323
1884	0.716
1885	0.879
1886	1.073
1887	1.217
1888	1.343
1889	0.982
1890	0.843
1891	1.068
1892	1.169
1893	1.361
1894	1.297
1895	1.039
1896	1.128
1897	0.935
1898	0.697
1899	0.504
1900	1.13
1901	0.717
1902	1.075
1903	1.144
1904	0.942
1905	1.108
1906	1.15
1907	1.292
1908	1.294
1909	1.211
1910	1.69
1911	1.283
1912	0.904
1913	1.369
1914	1.183
1915	0.858
1916	0.914
1917	0.37
1918	0.819
1919	1.318
1920	0.693
1921	1.118
1922	0.634
1923	1.085
1924	1.181
1925	1.108
1926	1.103
1927	0.953
1928	1.149
1929	1.057
1930	0.806
1931	1.203
1932	0.856
1933	0.775
1934	1.208
1935	0.79
1936	1.079
1937	1.215
1938	0.967
1939	1.139
1940	0.859
1941	1.146
1942	0.854
1943	1.175
1944	0.881
1945	0.731
1946	0.958
1947	0.887
1948	0.962
1949	0.928
1950	1.143
1951	-0.024
1952	0.216
1953	0.335
1954	0.998
1955	0.248
1956	1.472
1957	1.651
1958	1.7
1959	1.231
1960	0.814
1961	0.637
1962	0.549
1963	0.676
1964	1.378
1965	0.929
1966	1.016
1967	1.318
1968	1.277
1969	1.01
1970	0.649
1971	0.349
1972	0.793
1973	0.624
1974	0.822
1975	1.246
1976	1.006
1977	1.116
1978	1.073
1979	0.805
1980	1.04
1981	1.401
1982	0.508
1983	1.254
1984	0.87
1985	0.889
1986	1.219
1987	1.285
1988	0.867
1989	0.898
1990	1.049
1991	0.925
1992	0.951
1993	0.884
1994	1.371
1995	0.934