# northamerica_usa_tn008 - Norris Dam State Park - 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:
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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/3175
#
# 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_tn008 - Norris Dam State Park - 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: Norris Dam State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.22
#	Southernmost_Latitude: 36.22
#	Easternmost_Longitude: -84.08
#	Westernmost_Longitude: -84.08
#	Elevation: 220 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_tn008B
#	Earliest_Year: 1683
#	Most_Recent_Year: 1980
#	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":"5.59764120367","T2":"15.1059025477","M1":"0.0220589565132","M2":"0.580432872924"}}
#--------------------
# Species
#	Species_Name: white oak
#	Species_Code: QUAL
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1683	1.168
1684	1.122
1685	0.914
1686	1.12
1687	1.005
1688	1.131
1689	1.178
1690	0.936
1691	1.028
1692	1.315
1693	0.819
1694	1.17
1695	1.203
1696	1.167
1697	1.239
1698	1.019
1699	0.925
1700	0.906
1701	1.101
1702	0.991
1703	0.775
1704	1.15
1705	1.148
1706	0.904
1707	1.181
1708	0.778
1709	0.905
1710	0.936
1711	1.332
1712	1.036
1713	0.894
1714	1.24
1715	0.99
1716	1.165
1717	1.33
1718	1.015
1719	1.244
1720	0.932
1721	0.957
1722	0.977
1723	1.005
1724	0.912
1725	1.064
1726	0.937
1727	1.155
1728	1.068
1729	1.346
1730	0.981
1731	1.232
1732	1.089
1733	1.229
1734	1.175
1735	0.837
1736	0.694
1737	1.092
1738	1.003
1739	1.248
1740	1.175
1741	1.339
1742	1.237
1743	0.956
1744	0.978
1745	1.199
1746	0.806
1747	0.957
1748	0.95
1749	0.745
1750	0.883
1751	0.805
1752	0.791
1753	0.626
1754	0.607
1755	0.605
1756	0.928
1757	0.984
1758	1.23
1759	1.22
1760	1.053
1761	1.009
1762	0.621
1763	0.992
1764	0.956
1765	0.811
1766	0.754
1767	0.801
1768	1.047
1769	1.147
1770	1.095
1771	1.139
1772	0.861
1773	0.924
1774	0.479
1775	0.703
1776	0.796
1777	0.835
1778	1.096
1779	0.638
1780	1.008
1781	1.289
1782	1.462
1783	1.361
1784	0.813
1785	0.841
1786	0.919
1787	1.04
1788	0.947
1789	0.917
1790	0.659
1791	0.802
1792	0.773
1793	1.109
1794	1.293
1795	1.004
1796	1.378
1797	1.324
1798	1.146
1799	1.019
1800	1.254
1801	1.052
1802	1.223
1803	1.048
1804	0.788
1805	1.1
1806	0.903
1807	0.893
1808	1.117
1809	0.964
1810	0.787
1811	0.951
1812	0.776
1813	0.612
1814	0.707
1815	0.827
1816	0.738
1817	1.004
1818	0.889
1819	0.773
1820	0.992
1821	0.677
1822	0.776
1823	0.931
1824	0.936
1825	0.698
1826	0.755
1827	0.89
1828	0.656
1829	0.714
1830	0.903
1831	0.865
1832	0.891
1833	0.756
1834	0.871
1835	0.935
1836	0.963
1837	0.954
1838	1.003
1839	0.594
1840	1.096
1841	0.921
1842	1.102
1843	1.192
1844	0.744
1845	0.94
1846	0.912
1847	0.929
1848	0.8
1849	0.94
1850	0.807
1851	0.641
1852	0.951
1853	0.778
1854	0.901
1855	1.06
1856	0.95
1857	1.113
1858	0.96
1859	0.825
1860	1.106
1861	0.887
1862	1.014
1863	1.066
1864	0.923
1865	0.925
1866	1.007
1867	1.046
1868	1.063
1869	1.268
1870	1.035
1871	0.962
1872	0.814
1873	1.026
1874	0.859
1875	0.904
1876	1.044
1877	0.974
1878	1.086
1879	0.718
1880	0.744
1881	1.024
1882	1.293
1883	1.249
1884	1.201
1885	1.016
1886	1.011
1887	0.968
1888	0.96
1889	1.164
1890	1.035
1891	1.106
1892	1.206
1893	1.1
1894	0.764
1895	0.953
1896	0.857
1897	1.158
1898	0.85
1899	0.955
1900	0.801
1901	0.988
1902	0.93
1903	1.18
1904	1.084
1905	1.027
1906	1.002
1907	0.847
1908	0.917
1909	0.966
1910	1.108
1911	0.544
1912	0.88
1913	0.872
1914	0.849
1915	1.068
1916	1.177
1917	1.467
1918	0.962
1919	1.07
1920	1.036
1921	0.935
1922	1.156
1923	1.051
1924	1.093
1925	0.819
1926	1.053
1927	0.957
1928	1.134
1929	0.945
1930	0.857
1931	1.047
1932	1.215
1933	0.918
1934	1.044
1935	1.254
1936	0.759
1937	1.258
1938	1.256
1939	0.933
1940	1.173
1941	0.992
1942	1.096
1943	0.943
1944	0.767
1945	1.396
1946	1.18
1947	1.021
1948	0.858
1949	0.96
1950	0.973
1951	1.249
1952	0.901
1953	1.012
1954	1.121
1955	1.206
1956	1.015
1957	1.022
1958	1.16
1959	0.922
1960	0.988
1961	1.042
1962	1.01
1963	1.007
1964	0.771
1965	1.051
1966	0.821
1967	1.12
1968	0.984
1969	0.816
1970	0.896
1971	0.974
1972	0.941
1973	0.884
1974	0.854
1975	1.016
1976	1.119
1977	0.957
1978	0.903
1979	0.756
1980	0.755