# northamerica_usa_pa011 - Salt Springs 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3026
#
# 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_pa011 - Salt Springs 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: Salt Springs State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.87
#	Southernmost_Latitude: 41.87
#	Easternmost_Longitude: -75.88
#	Westernmost_Longitude: -75.88
#	Elevation: 500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_pa011B
#	Earliest_Year: 1670
#	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":"4.50929242757","T2":"17.0049532889","M1":"0.0222510035291","M2":"0.542346262504"}}
#--------------------
# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
#--------------------
# 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
1670	0.672
1671	0.733
1672	0.583
1673	0.596
1674	0.704
1675	0.687
1676	0.805
1677	1.028
1678	0.942
1679	0.753
1680	0.863
1681	0.649
1682	0.71
1683	0.68
1684	0.775
1685	0.61
1686	0.583
1687	0.566
1688	0.572
1689	0.678
1690	0.904
1691	0.786
1692	0.942
1693	0.969
1694	0.965
1695	1.122
1696	1.142
1697	1.171
1698	1.058
1699	0.881
1700	1.003
1701	1.188
1702	1.167
1703	1.421
1704	0.617
1705	0.55
1706	1.045
1707	1.213
1708	1.121
1709	0.837
1710	1.112
1711	1.191
1712	1.29
1713	1.315
1714	1.067
1715	0.85
1716	0.921
1717	1.273
1718	1.268
1719	1.288
1720	1.27
1721	1.481
1722	1.315
1723	0.917
1724	0.961
1725	1.175
1726	1.225
1727	1.277
1728	0.92
1729	1.099
1730	1.265
1731	1.305
1732	1.139
1733	0.895
1734	1.153
1735	1.024
1736	0.926
1737	0.956
1738	0.92
1739	0.946
1740	0.977
1741	0.712
1742	0.869
1743	0.937
1744	0.962
1745	1.048
1746	0.858
1747	0.942
1748	0.93
1749	0.855
1750	0.868
1751	0.917
1752	1.005
1753	0.93
1754	1.275
1755	0.879
1756	1.273
1757	0.78
1758	0.634
1759	1.082
1760	1.079
1761	0.979
1762	0.921
1763	1.136
1764	1.079
1765	0.83
1766	0.818
1767	0.706
1768	0.875
1769	1.035
1770	0.68
1771	0.738
1772	0.641
1773	0.899
1774	0.829
1775	0.709
1776	0.855
1777	1.007
1778	1.221
1779	0.897
1780	0.661
1781	0.69
1782	0.903
1783	0.86
1784	0.638
1785	0.587
1786	0.894
1787	0.995
1788	1.256
1789	1.326
1790	0.92
1791	0.927
1792	0.878
1793	0.973
1794	0.804
1795	0.836
1796	0.567
1797	0.78
1798	0.703
1799	0.712
1800	0.682
1801	1.03
1802	0.911
1803	0.894
1804	0.996
1805	1.258
1806	0.965
1807	0.924
1808	1.169
1809	1.326
1810	1.231
1811	1.185
1812	1.366
1813	1.563
1814	1.386
1815	1.958
1816	1.316
1817	1.307
1818	1.061
1819	0.636
1820	0.557
1821	0.81
1822	0.837
1823	0.85
1824	0.952
1825	0.888
1826	0.305
1827	0.578
1828	0.875
1829	0.783
1830	0.933
1831	1.083
1832	1.078
1833	1.169
1834	1.525
1835	1.157
1836	0.944
1837	0.829
1838	1.25
1839	0.829
1840	0.886
1841	0.793
1842	0.994
1843	1.019
1844	0.979
1845	1.169
1846	0.94
1847	1.0
1848	0.994
1849	0.978
1850	0.891
1851	0.922
1852	0.671
1853	0.49
1854	0.642
1855	0.506
1856	0.722
1857	0.603
1858	0.714
1859	0.799
1860	1.085
1861	1.173
1862	1.09
1863	1.239
1864	1.355
1865	1.035
1866	1.292
1867	1.176
1868	1.03
1869	0.823
1870	0.97
1871	1.312
1872	1.057
1873	1.015
1874	1.226
1875	1.177
1876	1.176
1877	0.976
1878	0.945
1879	0.929
1880	0.618
1881	0.69
1882	0.73
1883	0.636
1884	0.834
1885	0.781
1886	0.954
1887	0.975
1888	0.858
1889	1.337
1890	1.688
1891	1.451
1892	1.5
1893	1.701
1894	1.586
1895	0.703
1896	0.746
1897	0.952
1898	1.08
1899	0.831
1900	0.751
1901	0.479
1902	1.221
1903	1.559
1904	1.678
1905	1.651
1906	1.764
1907	1.463
1908	1.043
1909	1.174
1910	1.123
1911	0.856
1912	0.714
1913	0.619
1914	0.446
1915	0.767
1916	0.967
1917	1.255
1918	1.064
1919	1.077
1920	0.828
1921	0.913
1922	1.123
1923	0.791
1924	0.814
1925	1.135
1926	0.759
1927	0.892
1928	1.292
1929	0.954
1930	1.049
1931	1.001
1932	0.782
1933	0.983
1934	0.686
1935	0.886
1936	0.686
1937	0.676
1938	1.007
1939	0.722
1940	0.738
1941	0.954
1942	0.861
1943	0.8
1944	0.785
1945	0.735
1946	1.17
1947	1.18
1948	1.228
1949	1.09
1950	0.901
1951	1.112
1952	0.993
1953	0.882
1954	0.883
1955	0.805
1956	0.687
1957	0.776
1958	0.672
1959	0.716
1960	0.481
1961	1.097
1962	0.672
1963	0.638
1964	0.6
1965	0.502
1966	0.563
1967	0.707
1968	0.751
1969	0.943
1970	0.822
1971	1.097
1972	0.903
1973	1.213
1974	1.154
1975	1.224
1976	1.487
1977	1.351
1978	1.069
1979	1.192
1980	0.931
1981	1.081