# northamerica_usa_il013 - Ferne Clyffe 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3156
#
# 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_il013 - Ferne Clyffe 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: Ferne Clyffe State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.53
#	Southernmost_Latitude: 37.53
#	Easternmost_Longitude: -88.98
#	Westernmost_Longitude: -88.98
#	Elevation: 183 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_il013B
#	Earliest_Year: 1680
#	Most_Recent_Year: 1981
#	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":"5.33053915053","T2":"17.3333135241","M1":"0.0224296522844","M2":"0.537385526423"}}
#--------------------
# 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
1680	0.549
1681	0.838
1682	1.035
1683	1.157
1684	1.169
1685	1.075
1686	0.898
1687	0.77
1688	0.871
1689	0.861
1690	0.861
1691	0.888
1692	0.913
1693	0.598
1694	0.922
1695	0.707
1696	0.504
1697	0.572
1698	0.986
1699	1.099
1700	1.517
1701	1.946
1702	1.709
1703	1.255
1704	1.353
1705	1.285
1706	1.009
1707	1.209
1708	0.751
1709	0.925
1710	0.817
1711	1.263
1712	1.085
1713	1.165
1714	1.12
1715	1.016
1716	1.462
1717	1.098
1718	1.069
1719	0.867
1720	0.833
1721	0.846
1722	0.808
1723	0.747
1724	0.719
1725	0.817
1726	1.014
1727	1.027
1728	0.68
1729	1.266
1730	1.143
1731	0.755
1732	0.83
1733	0.693
1734	0.769
1735	0.619
1736	0.497
1737	0.584
1738	0.687
1739	0.915
1740	0.987
1741	1.045
1742	0.89
1743	0.788
1744	0.789
1745	0.985
1746	0.747
1747	0.826
1748	0.909
1749	0.647
1750	0.81
1751	0.788
1752	0.756
1753	0.647
1754	0.551
1755	0.56
1756	0.75
1757	0.847
1758	1.203
1759	1.5
1760	1.397
1761	1.235
1762	0.793
1763	0.963
1764	1.062
1765	1.104
1766	1.063
1767	0.816
1768	1.15
1769	1.074
1770	0.98
1771	0.947
1772	0.956
1773	0.727
1774	0.503
1775	1.067
1776	1.413
1777	0.819
1778	1.535
1779	1.263
1780	1.594
1781	1.535
1782	1.113
1783	1.271
1784	0.957
1785	0.829
1786	0.922
1787	1.098
1788	0.974
1789	0.817
1790	0.926
1791	1.184
1792	0.994
1793	0.68
1794	0.834
1795	1.179
1796	1.195
1797	1.219
1798	1.097
1799	0.818
1800	1.029
1801	1.05
1802	1.206
1803	0.758
1804	0.87
1805	0.982
1806	0.681
1807	0.808
1808	0.908
1809	0.822
1810	0.725
1811	0.803
1812	0.868
1813	0.829
1814	0.858
1815	0.639
1816	0.611
1817	0.913
1818	0.991
1819	1.223
1820	0.874
1821	0.989
1822	0.958
1823	1.073
1824	0.981
1825	0.91
1826	0.765
1827	1.214
1828	1.059
1829	0.844
1830	1.097
1831	1.099
1832	0.931
1833	1.048
1834	0.581
1835	0.835
1836	0.988
1837	1.026
1838	0.905
1839	0.863
1840	1.254
1841	0.742
1842	0.969
1843	0.937
1844	1.119
1845	1.127
1846	1.163
1847	0.881
1848	0.989
1849	0.781
1850	0.821
1851	0.822
1852	0.965
1853	0.808
1854	1.021
1855	0.923
1856	0.959
1857	0.892
1858	0.899
1859	0.807
1860	0.904
1861	0.869
1862	0.905
1863	0.962
1864	0.778
1865	0.861
1866	1.018
1867	0.846
1868	0.907
1869	1.146
1870	0.993
1871	0.903
1872	0.872
1873	1.05
1874	0.698
1875	1.182
1876	1.31
1877	1.041
1878	0.882
1879	0.868
1880	1.093
1881	1.039
1882	1.416
1883	1.261
1884	1.187
1885	0.899
1886	0.855
1887	0.81
1888	0.993
1889	1.241
1890	0.94
1891	1.175
1892	1.318
1893	1.089
1894	1.001
1895	1.234
1896	0.945
1897	1.1
1898	1.257
1899	1.229
1900	1.155
1901	0.797
1902	1.103
1903	1.267
1904	1.228
1905	1.094
1906	1.041
1907	1.424
1908	1.149
1909	1.125
1910	1.428
1911	0.843
1912	1.511
1913	0.96
1914	0.794
1915	1.433
1916	1.193
1917	1.08
1918	0.785
1919	1.152
1920	1.003
1921	0.898
1922	1.084
1923	1.167
1924	1.338
1925	1.006
1926	0.78
1927	1.125
1928	1.236
1929	1.132
1930	0.821
1931	0.889
1932	1.006
1933	0.935
1934	0.731
1935	1.35
1936	0.707
1937	1.183
1938	1.36
1939	0.954
1940	0.964
1941	0.763
1942	1.338
1943	1.146
1944	0.812
1945	1.272
1946	1.074
1947	1.027
1948	1.04
1949	1.096
1950	1.005
1951	1.134
1952	0.749
1953	0.749
1954	0.761
1955	1.146
1956	0.809
1957	1.085
1958	1.051
1959	0.901
1960	0.977
1961	0.946
1962	0.853
1963	0.883
1964	0.806
1965	0.907
1966	0.835
1967	0.948
1968	1.136
1969	0.908
1970	0.92
1971	0.783
1972	0.667
1973	1.027
1974	0.976
1975	0.82
1976	1.105
1977	0.781
1978	0.833
1979	0.873
1980	0.903
1981	0.696