# northamerica_usa_tn022 - Lynn Hollow and Look Rock Trail - 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/4892
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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_tn022 - Lynn Hollow and Look Rock Trail - 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
#--------------------
# 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: Lynn Hollow and Look Rock Trail
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.62
#	Southernmost_Latitude: 35.62
#	Easternmost_Longitude: -83.93
#	Westernmost_Longitude: -83.93
#	Elevation: 610 m
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# Data_Collection
#	Collection_Name: northamerica_usa_tn022B
#	Earliest_Year: 1784
#	Most_Recent_Year: 1996
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.31975368276","T2":"17.7878628909","M1":"0.0222996651787","M2":"0.228102915325"}}
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# Species
#	Species_Name: shortleaf pine
#	Species_Code: PIEC
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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
1784	0.944
1785	0.873
1786	0.751
1787	0.795
1788	0.882
1789	1.157
1790	0.79
1791	0.891
1792	1.065
1793	1.101
1794	0.937
1795	1.337
1796	1.372
1797	1.134
1798	1.268
1799	0.757
1800	0.83
1801	0.988
1802	0.874
1803	0.883
1804	0.976
1805	0.864
1806	1.327
1807	1.17
1808	1.068
1809	0.804
1810	1.058
1811	0.824
1812	0.757
1813	1.008
1814	0.994
1815	0.873
1816	1.19
1817	1.246
1818	1.009
1819	1.061
1820	0.733
1821	0.971
1822	0.858
1823	0.855
1824	0.939
1825	0.713
1826	0.658
1827	1.051
1828	0.865
1829	0.995
1830	1.108
1831	0.942
1832	1.011
1833	1.15
1834	0.95
1835	0.683
1836	0.861
1837	0.659
1838	0.71
1839	0.575
1840	0.598
1841	0.9
1842	1.09
1843	1.135
1844	1.229
1845	0.855
1846	0.909
1847	1.323
1848	1.161
1849	1.117
1850	1.03
1851	1.015
1852	0.939
1853	0.854
1854	1.006
1855	1.101
1856	0.946
1857	1.231
1858	0.643
1859	0.872
1860	1.131
1861	1.756
1862	1.334
1863	1.625
1864	1.149
1865	0.882
1866	1.066
1867	0.971
1868	0.807
1869	1.082
1870	1.11
1871	0.934
1872	0.859
1873	1.053
1874	0.716
1875	0.497
1876	0.68
1877	1.255
1878	1.192
1879	1.059
1880	1.342
1881	0.808
1882	1.02
1883	0.812
1884	1.318
1885	0.805
1886	1.009
1887	0.653
1888	0.844
1889	0.942
1890	1.022
1891	1.386
1892	1.166
1893	0.564
1894	0.569
1895	0.403
1896	0.329
1897	0.343
1898	0.65
1899	0.975
1900	0.833
1901	0.6
1902	0.579
1903	0.978
1904	0.931
1905	1.346
1906	0.859
1907	0.915
1908	1.171
1909	1.203
1910	1.002
1911	1.484
1912	1.154
1913	1.024
1914	0.94
1915	0.908
1916	0.779
1917	0.941
1918	1.406
1919	1.134
1920	1.285
1921	1.216
1922	1.11
1923	0.968
1924	1.399
1925	1.527
1926	0.916
1927	0.987
1928	0.865
1929	0.735
1930	1.296
1931	1.39
1932	1.026
1933	0.95
1934	0.818
1935	1.171
1936	0.724
1937	1.15
1938	0.785
1939	1.212
1940	1.576
1941	1.48
1942	1.314
1943	0.913
1944	0.967
1945	1.219
1946	1.018
1947	1.294
1948	1.01
1949	1.237
1950	1.745
1951	1.208
1952	1.259
1953	1.07
1954	1.187
1955	0.959
1956	0.798
1957	0.838
1958	1.181
1959	1.223
1960	1.037
1961	1.105
1962	1.063
1963	1.142
1964	0.875
1965	0.493
1966	0.566
1967	0.705
1968	0.506
1969	0.528
1970	0.622
1971	0.776
1972	0.872
1973	0.734
1974	0.767
1975	0.919
1976	1.137
1977	0.652
1978	0.372
1979	0.278
1980	0.505
1981	0.59
1982	0.829
1983	0.871
1984	0.925
1985	1.383
1986	0.901
1987	0.733
1988	0.626
1989	0.466
1990	0.801
1991	1.898
1992	1.414
1993	0.817
1994	1.101
1995	0.91
1996	1.175