# northamerica_usa_pa004 - East Branch Swamp - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2971
#
# 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_pa004 - East Branch Swamp - 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: East Branch Swamp
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.33
#	Southernmost_Latitude: 41.33
#	Easternmost_Longitude: -77.72
#	Westernmost_Longitude: -77.72
#	Elevation: 500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_pa004B
#	Earliest_Year: 1642
#	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":"3.96232271261","T2":"15.5327359728","M1":"0.0229904839209","M2":"0.31051390429"}}
#--------------------
# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
#--------------------
# 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
1642	1.018
1643	1.221
1644	1.153
1645	0.842
1646	0.746
1647	0.956
1648	1.072
1649	0.868
1650	0.918
1651	1.16
1652	1.238
1653	1.145
1654	1.179
1655	0.884
1656	1.068
1657	0.879
1658	0.861
1659	1.068
1660	1.071
1661	1.062
1662	1.144
1663	0.925
1664	0.92
1665	0.89
1666	0.696
1667	0.826
1668	0.956
1669	1.014
1670	0.941
1671	0.9
1672	0.791
1673	1.022
1674	1.108
1675	0.992
1676	0.849
1677	0.829
1678	0.864
1679	0.764
1680	0.941
1681	0.507
1682	0.615
1683	0.641
1684	0.845
1685	0.759
1686	0.832
1687	0.691
1688	0.703
1689	0.899
1690	1.034
1691	0.945
1692	0.996
1693	1.305
1694	1.315
1695	1.464
1696	1.333
1697	1.238
1698	1.073
1699	0.873
1700	0.738
1701	0.732
1702	0.796
1703	1.021
1704	1.028
1705	0.922
1706	1.155
1707	1.029
1708	0.935
1709	0.698
1710	0.812
1711	0.901
1712	0.927
1713	1.055
1714	1.024
1715	1.039
1716	1.028
1717	1.027
1718	1.249
1719	1.128
1720	1.178
1721	1.428
1722	1.4
1723	1.091
1724	0.941
1725	1.194
1726	0.915
1727	0.977
1728	0.776
1729	0.887
1730	0.982
1731	0.943
1732	0.801
1733	0.784
1734	0.831
1735	0.615
1736	0.533
1737	0.565
1738	0.616
1739	0.638
1740	0.778
1741	0.592
1742	0.569
1743	0.666
1744	0.667
1745	0.642
1746	0.665
1747	0.634
1748	0.758
1749	0.558
1750	0.728
1751	0.889
1752	0.995
1753	0.993
1754	1.053
1755	0.854
1756	1.013
1757	0.935
1758	0.66
1759	0.919
1760	1.026
1761	1.061
1762	0.936
1763	1.02
1764	1.043
1765	0.992
1766	1.138
1767	0.964
1768	0.894
1769	1.244
1770	1.019
1771	1.227
1772	1.073
1773	1.216
1774	1.049
1775	1.389
1776	1.318
1777	1.451
1778	1.392
1779	1.311
1780	1.152
1781	1.232
1782	1.418
1783	1.005
1784	0.836
1785	0.668
1786	0.847
1787	0.894
1788	0.979
1789	1.142
1790	1.176
1791	1.1
1792	0.84
1793	0.926
1794	0.884
1795	0.995
1796	0.997
1797	1.272
1798	1.28
1799	1.082
1800	1.008
1801	1.223
1802	1.121
1803	1.127
1804	0.817
1805	0.941
1806	1.031
1807	1.095
1808	1.707
1809	1.45
1810	1.442
1811	1.449
1812	1.504
1813	1.787
1814	1.384
1815	1.864
1816	1.424
1817	1.404
1818	1.284
1819	0.777
1820	0.841
1821	0.733
1822	0.666
1823	0.665
1824	0.782
1825	1.001
1826	0.838
1827	1.269
1828	1.183
1829	0.929
1830	1.195
1831	1.191
1832	1.433
1833	1.012
1834	1.209
1835	1.187
1836	0.965
1837	0.856
1838	1.328
1839	0.614
1840	0.838
1841	0.767
1842	0.912
1843	0.876
1844	0.731
1845	0.778
1846	0.535
1847	0.812
1848	0.939
1849	0.899
1850	0.877
1851	0.904
1852	0.972
1853	0.811
1854	0.954
1855	0.533
1856	0.581
1857	0.735
1858	0.896
1859	0.857
1860	0.787
1861	0.963
1862	1.117
1863	0.918
1864	1.086
1865	0.512
1866	0.669
1867	0.572
1868	0.695
1869	0.527
1870	0.728
1871	0.669
1872	0.73
1873	0.715
1874	0.841
1875	0.877
1876	1.149
1877	0.837
1878	0.943
1879	0.891
1880	1.061
1881	0.894
1882	0.951
1883	1.017
1884	1.232
1885	0.881
1886	0.896
1887	0.83
1888	0.573
1889	0.919
1890	0.996
1891	0.909
1892	1.005
1893	0.989
1894	0.969
1895	0.53
1896	0.444
1897	0.696
1898	0.888
1899	0.585
1900	0.585
1901	0.346
1902	0.846
1903	1.187
1904	1.068
1905	1.05
1906	1.082
1907	0.953
1908	0.881
1909	0.726
1910	0.788
1911	0.659
1912	0.644
1913	1.072
1914	0.674
1915	0.619
1916	0.882
1917	1.154
1918	1.079
1919	1.024
1920	0.873
1921	1.079
1922	0.999
1923	0.778
1924	0.619
1925	1.049
1926	0.803
1927	0.612
1928	1.137
1929	1.026
1930	0.915
1931	0.595
1932	0.776
1933	0.863
1934	0.837
1935	0.976
1936	0.909
1937	0.87
1938	1.202
1939	1.108
1940	0.98
1941	1.188
1942	1.293
1943	1.307
1944	0.865
1945	1.032
1946	1.734
1947	1.325
1948	0.974
1949	1.074
1950	0.893
1951	1.188
1952	0.835
1953	0.759
1954	0.967
1955	1.105
1956	1.237
1957	1.348
1958	0.908
1959	1.186
1960	0.737
1961	1.474
1962	1.115
1963	1.27
1964	1.116
1965	0.989
1966	1.078
1967	1.17
1968	1.081
1969	1.061
1970	0.945
1971	1.236
1972	0.845
1973	1.037
1974	1.092
1975	1.074
1976	1.208
1977	1.113
1978	0.874
1979	0.975
1980	0.934
1981	0.742