# northamerica_usa_va024 - Shenandoah National Park - 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/3122
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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_va024 - Shenandoah National Park - 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: Shenandoah National Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.47
#	Southernmost_Latitude: 38.47
#	Easternmost_Longitude: -78.47
#	Westernmost_Longitude: -78.47
#	Elevation: 975 m
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# Data_Collection
#	Collection_Name: northamerica_usa_va024B
#	Earliest_Year: 1804
#	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":"4.03558766768","T2":"16.8565461441","M1":"0.0227534006496","M2":"0.230391488182"}}
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# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
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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)
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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
1804	0.864
1805	0.825
1806	1.085
1807	1.129
1808	0.94
1809	0.866
1810	1.139
1811	0.922
1812	1.247
1813	1.154
1814	1.09
1815	0.938
1816	0.815
1817	1.426
1818	1.096
1819	1.316
1820	1.122
1821	0.974
1822	1.05
1823	1.467
1824	1.641
1825	1.269
1826	1.096
1827	1.198
1828	0.958
1829	1.277
1830	1.32
1831	1.067
1832	1.001
1833	1.096
1834	1.185
1835	1.418
1836	1.37
1837	0.901
1838	0.915
1839	0.977
1840	0.989
1841	0.716
1842	0.913
1843	1.131
1844	1.104
1845	1.235
1846	0.826
1847	0.86
1848	0.881
1849	1.061
1850	1.059
1851	0.743
1852	0.913
1853	0.766
1854	0.792
1855	0.759
1856	0.739
1857	0.595
1858	0.505
1859	0.769
1860	1.097
1861	1.172
1862	0.951
1863	1.206
1864	1.217
1865	1.084
1866	0.958
1867	0.682
1868	0.824
1869	1.073
1870	1.072
1871	0.767
1872	0.715
1873	0.881
1874	0.942
1875	0.785
1876	0.9
1877	0.807
1878	0.923
1879	0.841
1880	1.144
1881	1.108
1882	0.883
1883	0.989
1884	0.823
1885	1.022
1886	1.003
1887	0.87
1888	1.016
1889	1.253
1890	0.845
1891	1.092
1892	1.014
1893	0.782
1894	0.986
1895	0.893
1896	0.736
1897	0.509
1898	0.476
1899	0.73
1900	0.698
1901	0.707
1902	0.693
1903	0.657
1904	0.64
1905	0.849
1906	1.05
1907	0.968
1908	0.96
1909	0.732
1910	0.937
1911	0.778
1912	0.711
1913	0.694
1914	0.653
1915	1.049
1916	0.601
1917	0.566
1918	0.981
1919	0.862
1920	1.289
1921	1.45
1922	1.234
1923	1.304
1924	1.096
1925	1.014
1926	0.907
1927	1.068
1928	0.76
1929	1.115
1930	1.423
1931	1.407
1932	0.954
1933	1.077
1934	1.117
1935	1.141
1936	1.333
1937	1.249
1938	0.751
1939	0.763
1940	0.921
1941	1.06
1942	0.901
1943	0.915
1944	0.901
1945	1.204
1946	0.888
1947	1.081
1948	1.097
1949	1.196
1950	1.236
1951	1.127
1952	1.22
1953	1.252
1954	0.76
1955	0.903
1956	0.857
1957	0.933
1958	1.02
1959	0.997
1960	0.957
1961	0.956
1962	0.59
1963	0.929
1964	0.919
1965	0.976
1966	0.815
1967	0.785
1968	0.768
1969	0.981
1970	0.866
1971	0.765
1972	0.856
1973	0.998
1974	0.533
1975	1.123
1976	0.991
1977	1.275
1978	1.223
1979	1.029
1980	1.004
1981	0.924
1982	1.196
1983	1.186
1984	1.364
1985	1.286
1986	1.194
1987	1.185
1988	1.344
1989	1.077
1990	0.912
1991	0.874
1992	0.622
1993	0.842
1994	0.596
1995	0.234
1996	0.175