# northamerica_usa_va008 - Ramseys Draft - 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/4230
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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_va008 - Ramseys Draft - 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: Ramseys Draft
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.3
#	Southernmost_Latitude: 38.3
#	Easternmost_Longitude: -79.35
#	Westernmost_Longitude: -79.35
#	Elevation: 915 m
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# Data_Collection
#	Collection_Name: northamerica_usa_va008B
#	Earliest_Year: 1744
#	Most_Recent_Year: 1978
#	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":"3.596323387","T2":"17.5321711493","M1":"0.0221822533664","M2":"0.585122655761"}}
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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)
#
##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
1744	0.877
1745	1.151
1746	0.914
1747	1.162
1748	0.943
1749	1.069
1750	1.085
1751	1.115
1752	1.207
1753	1.167
1754	1.237
1755	0.839
1756	1.17
1757	1.146
1758	1.044
1759	1.161
1760	1.344
1761	1.225
1762	1.019
1763	1.005
1764	0.922
1765	0.872
1766	1.057
1767	1.153
1768	1.153
1769	1.283
1770	0.967
1771	1.004
1772	0.852
1773	0.935
1774	0.893
1775	0.841
1776	1.076
1777	1.008
1778	0.973
1779	0.863
1780	0.871
1781	0.854
1782	0.676
1783	0.86
1784	0.786
1785	0.796
1786	0.943
1787	0.73
1788	0.837
1789	0.833
1790	0.806
1791	0.749
1792	0.711
1793	1.055
1794	0.794
1795	0.808
1796	0.894
1797	0.861
1798	0.878
1799	0.989
1800	0.896
1801	1.144
1802	0.922
1803	0.825
1804	0.914
1805	0.767
1806	0.883
1807	0.935
1808	0.992
1809	0.993
1810	1.004
1811	0.915
1812	0.94
1813	0.904
1814	1.034
1815	1.092
1816	1.036
1817	1.004
1818	0.943
1819	0.898
1820	0.737
1821	0.857
1822	0.799
1823	0.948
1824	0.914
1825	0.971
1826	0.882
1827	1.086
1828	1.208
1829	0.964
1830	0.955
1831	1.032
1832	1.103
1833	1.233
1834	1.324
1835	1.042
1836	1.029
1837	0.901
1838	0.947
1839	0.726
1840	0.923
1841	1.095
1842	0.985
1843	0.909
1844	0.738
1845	0.619
1846	0.863
1847	0.844
1848	0.902
1849	0.769
1850	0.844
1851	0.662
1852	0.833
1853	0.736
1854	0.701
1855	0.738
1856	0.694
1857	1.024
1858	1.161
1859	1.117
1860	1.056
1861	1.162
1862	1.084
1863	1.156
1864	0.941
1865	0.747
1866	0.782
1867	0.95
1868	0.937
1869	0.822
1870	0.842
1871	0.819
1872	0.758
1873	0.863
1874	1.061
1875	0.99
1876	0.943
1877	0.947
1878	1.044
1879	0.847
1880	0.757
1881	0.873
1882	0.935
1883	0.993
1884	1.161
1885	0.766
1886	0.901
1887	1.087
1888	0.942
1889	1.231
1890	1.167
1891	0.848
1892	0.901
1893	0.972
1894	0.747
1895	0.796
1896	0.951
1897	1.273
1898	0.9
1899	0.832
1900	0.872
1901	1.077
1902	0.955
1903	1.165
1904	1.183
1905	0.906
1906	1.037
1907	0.825
1908	1.01
1909	1.126
1910	1.073
1911	0.682
1912	0.732
1913	1.221
1914	0.729
1915	0.886
1916	1.246
1917	1.18
1918	1.09
1919	1.427
1920	1.089
1921	1.116
1922	1.092
1923	0.969
1924	1.168
1925	1.145
1926	0.771
1927	0.935
1928	1.213
1929	1.393
1930	0.789
1931	0.73
1932	0.989
1933	1.31
1934	0.944
1935	0.944
1936	1.009
1937	0.897
1938	1.195
1939	1.451
1940	1.106
1941	1.075
1942	1.013
1943	1.385
1944	1.211
1945	1.203
1946	1.084
1947	1.21
1948	1.234
1949	1.687
1950	1.351
1951	1.691
1952	0.959
1953	1.112
1954	1.053
1955	1.162
1956	1.279
1957	1.223
1958	1.17
1959	1.053
1960	0.827
1961	1.262
1962	1.066
1963	0.856
1964	0.591
1965	0.732
1966	0.636
1967	0.751
1968	0.813
1969	0.692
1970	0.707
1971	0.873
1972	0.697
1973	1.0
1974	0.665
1975	1.093
1976	0.941
1977	0.741
1978	0.788