# northamerica_usa_pa003 - Dingman's Falls 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.
#
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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/2969
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# 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_pa003 - Dingman's Falls 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.
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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: Dingman's Falls State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.22
#	Southernmost_Latitude: 41.22
#	Easternmost_Longitude: -74.92
#	Westernmost_Longitude: -74.92
#	Elevation: 250 m
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# Data_Collection
#	Collection_Name: northamerica_usa_pa003B
#	Earliest_Year: 1710
#	Most_Recent_Year: 1981
#	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":"4.18121114656","T2":"18.6842289904","M1":"0.0225128810534","M2":"0.52438563332"}}
#--------------------
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1710	0.886
1711	1.015
1712	1.464
1713	1.681
1714	1.111
1715	1.202
1716	0.975
1717	1.191
1718	1.499
1719	1.178
1720	1.475
1721	1.601
1722	1.096
1723	0.769
1724	1.078
1725	1.168
1726	1.187
1727	1.208
1728	1.211
1729	1.578
1730	1.055
1731	1.357
1732	1.293
1733	1.074
1734	1.212
1735	0.837
1736	0.944
1737	0.797
1738	0.657
1739	0.806
1740	0.9
1741	0.703
1742	0.653
1743	0.884
1744	0.71
1745	0.836
1746	0.614
1747	0.885
1748	0.629
1749	0.738
1750	0.877
1751	0.847
1752	1.103
1753	0.931
1754	1.094
1755	0.551
1756	0.965
1757	0.582
1758	0.731
1759	1.137
1760	1.028
1761	1.011
1762	0.57
1763	0.852
1764	0.61
1765	0.987
1766	1.066
1767	0.561
1768	0.99
1769	0.897
1770	0.752
1771	0.78
1772	0.738
1773	0.626
1774	0.458
1775	0.539
1776	0.73
1777	1.018
1778	0.822
1779	0.709
1780	0.36
1781	0.873
1782	0.825
1783	0.579
1784	0.571
1785	0.816
1786	0.936
1787	0.843
1788	1.112
1789	1.112
1790	0.858
1791	0.963
1792	0.67
1793	0.694
1794	0.406
1795	0.694
1796	0.599
1797	0.945
1798	0.646
1799	0.549
1800	0.595
1801	0.678
1802	0.784
1803	0.732
1804	1.009
1805	1.183
1806	1.204
1807	1.476
1808	1.668
1809	1.446
1810	1.348
1811	1.055
1812	1.355
1813	1.235
1814	1.223
1815	1.599
1816	1.267
1817	1.413
1818	1.047
1819	0.829
1820	0.904
1821	1.104
1822	1.273
1823	1.116
1824	1.271
1825	1.061
1826	0.556
1827	0.963
1828	1.638
1829	1.432
1830	1.506
1831	1.265
1832	1.169
1833	1.538
1834	1.895
1835	1.241
1836	0.954
1837	1.228
1838	1.336
1839	0.839
1840	1.09
1841	1.031
1842	1.686
1843	1.166
1844	1.226
1845	0.788
1846	1.014
1847	0.978
1848	1.123
1849	0.941
1850	1.047
1851	1.05
1852	0.877
1853	0.93
1854	0.989
1855	0.732
1856	0.822
1857	0.977
1858	1.294
1859	1.168
1860	1.172
1861	1.109
1862	1.113
1863	0.956
1864	1.141
1865	1.216
1866	1.198
1867	1.327
1868	1.386
1869	1.081
1870	0.847
1871	0.711
1872	0.702
1873	0.571
1874	1.109
1875	0.662
1876	0.76
1877	0.43
1878	0.602
1879	0.773
1880	0.751
1881	1.004
1882	1.278
1883	1.084
1884	0.871
1885	0.656
1886	0.878
1887	0.832
1888	0.566
1889	0.862
1890	1.249
1891	1.139
1892	1.369
1893	1.332
1894	0.994
1895	0.379
1896	0.495
1897	0.747
1898	0.898
1899	0.463
1900	0.822
1901	0.598
1902	0.935
1903	0.749
1904	1.093
1905	0.82
1906	1.066
1907	1.057
1908	1.218
1909	1.124
1910	1.116
1911	1.275
1912	0.837
1913	0.954
1914	0.761
1915	0.836
1916	1.058
1917	1.484
1918	1.177
1919	1.199
1920	0.9
1921	0.986
1922	1.091
1923	0.971
1924	0.732
1925	1.129
1926	0.785
1927	1.017
1928	1.03
1929	1.175
1930	1.006
1931	1.102
1932	0.981
1933	0.802
1934	0.734
1935	0.856
1936	0.62
1937	0.666
1938	1.035
1939	1.005
1940	0.743
1941	0.826
1942	0.942
1943	1.054
1944	1.098
1945	0.96
1946	1.486
1947	1.233
1948	1.105
1949	0.938
1950	0.609
1951	0.901
1952	0.925
1953	1.027
1954	0.666
1955	0.562
1956	0.851
1957	0.735
1958	0.659
1959	1.059
1960	0.764
1961	1.481
1962	0.862
1963	0.911
1964	0.905
1965	0.541
1966	0.597
1967	0.8
1968	0.842
1969	0.986
1970	0.771
1971	1.112
1972	0.592
1973	1.105
1974	1.173
1975	1.557
1976	1.808
1977	1.461
1978	1.185
1979	1.202
1980	0.969
1981	1.049