# northamerica_usa_ar061 - Pt. Peter Mountain - 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.
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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/4926
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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_usa_ar061 - Pt. Peter 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.
#--------------------
#	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: Pt. Peter Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.93
#	Southernmost_Latitude: 35.93
#	Easternmost_Longitude: -92.87
#	Westernmost_Longitude: -92.87
#	Elevation: 579 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ar061B
#	Earliest_Year: 1761
#	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":"4.9424174656","T2":"18.2004227356","M1":"0.0235032382356","M2":"0.548604516379"}}
#--------------------
# 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
1761	1.493
1762	0.842
1763	1.015
1764	1.099
1765	1.028
1766	0.992
1767	0.663
1768	0.737
1769	1.18
1770	1.525
1771	1.39
1772	0.796
1773	0.833
1774	1.173
1775	1.422
1776	1.588
1777	1.61
1778	0.922
1779	1.205
1780	1.497
1781	0.989
1782	0.962
1783	1.357
1784	1.213
1785	0.766
1786	1.205
1787	1.186
1788	1.143
1789	1.086
1790	1.111
1791	1.05
1792	0.805
1793	1.056
1794	0.701
1795	0.976
1796	1.009
1797	0.84
1798	1.15
1799	0.644
1800	0.683
1801	0.55
1802	0.968
1803	0.827
1804	0.842
1805	0.775
1806	0.795
1807	1.047
1808	1.052
1809	0.764
1810	0.799
1811	1.018
1812	0.593
1813	0.703
1814	0.725
1815	0.762
1816	0.643
1817	0.688
1818	0.703
1819	0.631
1820	0.602
1821	0.452
1822	0.686
1823	0.736
1824	0.673
1825	0.798
1826	0.856
1827	0.766
1828	0.613
1829	0.706
1830	0.678
1831	0.624
1832	0.515
1833	0.781
1834	0.498
1835	0.538
1836	0.84
1837	0.795
1838	0.576
1839	0.543
1840	0.81
1841	0.637
1842	1.024
1843	1.172
1844	1.276
1845	1.174
1846	1.251
1847	1.227
1848	1.144
1849	1.466
1850	1.038
1851	1.161
1852	1.298
1853	1.032
1854	1.104
1855	0.783
1856	0.907
1857	0.853
1858	1.361
1859	0.95
1860	1.073
1861	1.011
1862	0.965
1863	1.33
1864	0.947
1865	1.081
1866	1.474
1867	1.327
1868	0.683
1869	1.43
1870	1.441
1871	1.176
1872	1.05
1873	1.077
1874	0.908
1875	0.782
1876	1.315
1877	1.275
1878	1.602
1879	0.966
1880	1.097
1881	1.106
1882	1.355
1883	1.504
1884	1.289
1885	1.236
1886	1.148
1887	1.12
1888	1.081
1889	1.08
1890	1.056
1891	0.968
1892	1.27
1893	1.045
1894	0.813
1895	1.059
1896	1.12
1897	0.86
1898	0.847
1899	1.121
1900	1.223
1901	0.774
1902	0.628
1903	1.226
1904	1.217
1905	0.831
1906	1.356
1907	0.974
1908	1.123
1909	1.513
1910	1.383
1911	0.749
1912	1.425
1913	0.896
1914	0.758
1915	1.54
1916	1.181
1917	1.076
1918	0.917
1919	0.995
1920	0.928
1921	0.919
1922	0.837
1923	1.045
1924	1.161
1925	0.687
1926	0.797
1927	0.957
1928	1.307
1929	1.246
1930	0.845
1931	0.82
1932	0.847
1933	0.753
1934	0.757
1935	0.898
1936	0.626
1937	0.677
1938	0.84
1939	0.893
1940	0.865
1941	0.631
1942	0.797
1943	0.834
1944	0.794
1945	0.988
1946	1.004
1947	0.873
1948	0.678
1949	0.961
1950	0.998
1951	1.037
1952	0.859
1953	0.763
1954	0.616
1955	1.052
1956	0.961
1957	0.913
1958	1.003
1959	1.039
1960	0.786
1961	0.774
1962	1.009
1963	0.854
1964	0.755
1965	0.981
1966	0.705
1967	0.807
1968	0.865
1969	0.828
1970	0.93
1971	1.079
1972	0.821
1973	1.113
1974	0.987
1975	0.966
1976	1.083
1977	0.712
1978	0.895
1979	0.952
1980	0.946
1981	0.819
1982	1.288
1983	1.21
1984	0.746
1985	0.971
1986	1.115
1987	1.014
1988	0.874
1989	1.24
1990	1.046
1991	0.859
1992	1.114
1993	1.281