# northamerica_usa_va011 - Mountain Lake Virginia - 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.
#
#
# Online_Resource:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3005
#
# 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_va011 - Mountain Lake Virginia - 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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: Mountain Lake Virginia
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.38
#	Southernmost_Latitude: 37.38
#	Easternmost_Longitude: -80.5
#	Westernmost_Longitude: -80.5
#	Elevation: 1000 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_va011B
#	Earliest_Year: 1686
#	Most_Recent_Year: 1983
#	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":"4.84189396196","T2":"17.4289698356","M1":"0.0226933890966","M2":"0.532712109185"}}
#--------------------
# Species
#	Species_Name: white oak
#	Species_Code: QUAL
#--------------------
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1686	1.133
1687	1.128
1688	1.099
1689	1.568
1690	1.412
1691	1.41
1692	1.396
1693	0.927
1694	1.167
1695	1.329
1696	1.306
1697	1.134
1698	0.872
1699	0.796
1700	0.708
1701	0.765
1702	0.561
1703	0.596
1704	0.734
1705	1.058
1706	1.104
1707	1.099
1708	0.899
1709	0.949
1710	1.361
1711	0.839
1712	1.043
1713	0.885
1714	0.797
1715	0.592
1716	0.998
1717	1.019
1718	0.877
1719	1.009
1720	0.886
1721	1.006
1722	1.024
1723	0.946
1724	0.93
1725	1.382
1726	0.946
1727	0.909
1728	0.985
1729	0.814
1730	1.059
1731	0.99
1732	0.971
1733	0.906
1734	0.843
1735	0.906
1736	0.921
1737	0.907
1738	0.58
1739	0.614
1740	0.608
1741	0.509
1742	0.674
1743	0.726
1744	0.904
1745	1.364
1746	0.831
1747	1.258
1748	0.709
1749	0.515
1750	0.884
1751	1.234
1752	0.79
1753	1.178
1754	1.313
1755	0.764
1756	1.464
1757	1.356
1758	1.217
1759	0.988
1760	1.078
1761	0.841
1762	1.004
1763	0.985
1764	0.939
1765	1.247
1766	1.236
1767	0.864
1768	1.161
1769	1.047
1770	0.781
1771	0.748
1772	0.699
1773	0.618
1774	1.204
1775	1.009
1776	1.663
1777	1.083
1778	0.802
1779	1.366
1780	0.867
1781	1.207
1782	0.608
1783	0.913
1784	0.676
1785	0.564
1786	0.566
1787	0.745
1788	0.969
1789	0.932
1790	1.1
1791	0.813
1792	1.296
1793	1.556
1794	1.314
1795	1.185
1796	1.101
1797	0.924
1798	1.012
1799	0.832
1800	1.122
1801	0.927
1802	1.053
1803	0.981
1804	0.929
1805	0.874
1806	0.835
1807	1.113
1808	0.999
1809	1.004
1810	1.348
1811	0.938
1812	0.981
1813	0.732
1814	0.631
1815	0.971
1816	0.845
1817	0.953
1818	1.025
1819	0.798
1820	0.848
1821	0.788
1822	1.035
1823	0.928
1824	1.075
1825	0.871
1826	1.181
1827	0.898
1828	1.037
1829	0.996
1830	1.178
1831	1.275
1832	1.093
1833	1.457
1834	1.288
1835	0.823
1836	0.922
1837	0.705
1838	0.676
1839	0.471
1840	0.846
1841	0.916
1842	1.044
1843	0.916
1844	0.7
1845	0.73
1846	0.817
1847	1.057
1848	1.303
1849	1.447
1850	1.159
1851	1.39
1852	1.281
1853	0.876
1854	1.271
1855	1.006
1856	1.055
1857	1.129
1858	0.978
1859	0.931
1860	1.113
1861	1.038
1862	0.919
1863	0.958
1864	0.652
1865	0.825
1866	0.943
1867	0.851
1868	1.008
1869	0.993
1870	0.973
1871	1.162
1872	1.275
1873	1.261
1874	0.971
1875	1.587
1876	1.171
1877	1.036
1878	1.249
1879	1.103
1880	1.201
1881	1.138
1882	1.297
1883	1.13
1884	1.24
1885	1.285
1886	1.089
1887	1.086
1888	0.988
1889	1.19
1890	0.962
1891	0.965
1892	1.176
1893	0.948
1894	0.766
1895	1.014
1896	0.946
1897	0.809
1898	0.894
1899	0.898
1900	0.904
1901	0.955
1902	0.963
1903	0.965
1904	0.909
1905	0.95
1906	0.903
1907	0.871
1908	0.952
1909	1.0
1910	0.855
1911	0.911
1912	1.041
1913	1.069
1914	0.767
1915	1.111
1916	1.147
1917	0.824
1918	0.781
1919	0.897
1920	1.072
1921	0.974
1922	0.87
1923	0.976
1924	0.922
1925	0.759
1926	0.645
1927	0.919
1928	0.992
1929	0.807
1930	0.648
1931	0.67
1932	1.101
1933	0.795
1934	1.083
1935	1.153
1936	0.987
1937	1.078
1938	1.115
1939	1.087
1940	1.194
1941	1.162
1942	1.039
1943	1.052
1944	0.982
1945	1.087
1946	1.217
1947	1.024
1948	1.088
1949	1.177
1950	1.294
1951	1.368
1952	1.15
1953	0.963
1954	0.846
1955	1.049
1956	0.987
1957	1.28
1958	1.051
1959	1.01
1960	0.916
1961	1.041
1962	1.129
1963	0.861
1964	0.982
1965	0.918
1966	0.751
1967	1.008
1968	1.094
1969	1.007
1970	0.967
1971	1.019
1972	0.707
1973	0.905
1974	0.827
1975	0.881
1976	0.838
1977	0.807
1978	0.771
1979	0.729
1980	0.88
1981	0.665
1982	0.93
1983	0.942