# northamerica_usa_tx027 - Mason Mountain - 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/4894
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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
#--------------------
# Title
#	Study_Name: northamerica_usa_tx027 - Mason Mountain - 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.
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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: Mason Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 30.88
#	Southernmost_Latitude: 30.88
#	Easternmost_Longitude: -99.18
#	Westernmost_Longitude: -99.18
#	Elevation: 540 m
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# Data_Collection
#	Collection_Name: northamerica_usa_tx027B
#	Earliest_Year: 1753
#	Most_Recent_Year: 1995
#	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":"4.9486587884","T2":"17.3123138778","M1":"0.0222857978916","M2":"0.457134877251"}}
#--------------------
# Species
#	Species_Name: post oak
#	Species_Code: QUST
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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
#
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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
1753	0.922
1754	0.612
1755	0.667
1756	0.618
1757	0.674
1758	2.128
1759	1.984
1760	1.602
1761	1.186
1762	2.065
1763	0.639
1764	0.781
1765	0.941
1766	0.774
1767	0.747
1768	1.003
1769	0.763
1770	1.17
1771	1.036
1772	0.388
1773	0.72
1774	0.682
1775	0.735
1776	0.599
1777	0.57
1778	0.693
1779	0.968
1780	0.755
1781	0.656
1782	1.091
1783	1.083
1784	1.171
1785	0.768
1786	0.542
1787	0.883
1788	1.025
1789	0.465
1790	0.317
1791	1.168
1792	1.468
1793	1.953
1794	1.593
1795	1.373
1796	0.943
1797	1.338
1798	0.882
1799	1.661
1800	1.516
1801	0.839
1802	0.984
1803	0.969
1804	0.882
1805	0.548
1806	0.726
1807	1.08
1808	0.923
1809	1.302
1810	1.343
1811	0.778
1812	0.811
1813	0.988
1814	1.02
1815	1.027
1816	0.827
1817	0.975
1818	0.849
1819	1.164
1820	0.869
1821	1.188
1822	0.686
1823	1.058
1824	0.983
1825	1.486
1826	0.891
1827	1.414
1828	0.941
1829	1.081
1830	1.041
1831	0.731
1832	0.901
1833	1.992
1834	1.721
1835	0.828
1836	1.346
1837	1.016
1838	1.161
1839	0.735
1840	1.292
1841	0.641
1842	0.847
1843	1.412
1844	1.002
1845	1.013
1846	1.165
1847	1.068
1848	1.246
1849	1.214
1850	1.218
1851	1.072
1852	0.849
1853	1.184
1854	1.06
1855	0.713
1856	0.958
1857	0.588
1858	0.837
1859	0.457
1860	0.856
1861	0.698
1862	0.562
1863	0.586
1864	0.755
1865	0.778
1866	1.032
1867	1.187
1868	1.051
1869	1.135
1870	0.936
1871	0.819
1872	0.699
1873	1.061
1874	0.902
1875	0.763
1876	0.735
1877	0.757
1878	0.637
1879	0.595
1880	1.001
1881	1.091
1882	0.616
1883	0.728
1884	1.319
1885	1.014
1886	0.686
1887	0.651
1888	1.056
1889	0.837
1890	1.695
1891	1.304
1892	0.979
1893	0.635
1894	0.455
1895	0.755
1896	0.534
1897	0.867
1898	0.647
1899	0.636
1900	0.976
1901	0.55
1902	0.639
1903	1.098
1904	0.693
1905	1.006
1906	0.548
1907	0.474
1908	0.813
1909	0.501
1910	0.825
1911	0.698
1912	0.635
1913	0.779
1914	0.991
1915	1.019
1916	0.825
1917	0.542
1918	0.409
1919	1.353
1920	1.003
1921	0.805
1922	1.06
1923	1.216
1924	1.503
1925	0.551
1926	1.019
1927	1.05
1928	0.947
1929	1.055
1930	0.958
1931	0.792
1932	1.332
1933	1.202
1934	0.705
1935	1.215
1936	0.874
1937	1.064
1938	0.971
1939	0.806
1940	1.167
1941	1.432
1942	1.19
1943	1.145
1944	1.209
1945	1.241
1946	1.265
1947	1.184
1948	0.908
1949	1.096
1950	1.293
1951	0.932
1952	0.64
1953	0.686
1954	0.518
1955	0.569
1956	0.543
1957	0.872
1958	1.027
1959	1.127
1960	0.958
1961	1.025
1962	1.021
1963	0.786
1964	0.809
1965	1.46
1966	1.214
1967	0.649
1968	1.557
1969	1.208
1970	1.231
1971	0.616
1972	1.163
1973	1.31
1974	1.064
1975	1.212
1976	0.973
1977	1.228
1978	0.766
1979	1.282
1980	0.963
1981	1.181
1982	1.48
1983	1.005
1984	0.636
1985	1.009
1986	0.687
1987	0.984
1988	0.952
1989	0.955
1990	0.843
1991	1.087
1992	1.407
1993	1.125
1994	0.938
1995	1.093