# northamerica_usa_pa007 - Hemlocks Natural Area - 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/2981
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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_pa007 - Hemlocks Natural Area - 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
#------------------
# Site_Information
#	Site_Name: Hemlocks Natural Area
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.23
#	Southernmost_Latitude: 40.23
#	Easternmost_Longitude: -77.65
#	Westernmost_Longitude: -77.65
#	Elevation: 300 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_pa007B
#	Earliest_Year: 1677
#	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":"2.66868045019","T2":"15.1969939671","M1":"0.0230343716804","M2":"0.605333589563"}}
#--------------------
# 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
1677	0.708
1678	0.961
1679	0.794
1680	0.852
1681	0.663
1682	1.345
1683	1.169
1684	0.981
1685	0.575
1686	0.705
1687	0.619
1688	0.924
1689	0.902
1690	0.694
1691	0.582
1692	0.48
1693	1.004
1694	0.79
1695	0.954
1696	0.6
1697	0.684
1698	0.46
1699	0.754
1700	0.781
1701	0.807
1702	0.87
1703	0.977
1704	0.974
1705	1.159
1706	1.102
1707	1.229
1708	0.836
1709	0.844
1710	1.018
1711	1.006
1712	1.007
1713	0.853
1714	1.032
1715	0.816
1716	0.851
1717	0.994
1718	1.264
1719	1.003
1720	0.967
1721	1.25
1722	1.257
1723	0.934
1724	1.032
1725	1.618
1726	1.269
1727	1.292
1728	0.992
1729	1.037
1730	1.285
1731	1.062
1732	0.959
1733	0.902
1734	0.968
1735	0.773
1736	0.935
1737	0.832
1738	0.826
1739	0.918
1740	1.146
1741	0.709
1742	0.78
1743	0.945
1744	1.088
1745	1.106
1746	0.923
1747	1.203
1748	0.91
1749	0.813
1750	0.877
1751	1.072
1752	1.191
1753	1.11
1754	1.577
1755	0.914
1756	1.348
1757	1.023
1758	0.861
1759	1.179
1760	1.013
1761	0.987
1762	0.908
1763	0.904
1764	0.997
1765	1.145
1766	1.041
1767	0.802
1768	0.689
1769	1.05
1770	0.666
1771	1.152
1772	0.875
1773	0.879
1774	0.758
1775	1.098
1776	1.234
1777	1.464
1778	1.108
1779	1.215
1780	1.079
1781	1.497
1782	1.401
1783	1.245
1784	0.991
1785	1.069
1786	1.415
1787	1.17
1788	1.235
1789	1.332
1790	1.197
1791	1.151
1792	0.848
1793	1.246
1794	0.809
1795	0.976
1796	1.336
1797	1.321
1798	1.075
1799	0.916
1800	1.174
1801	1.535
1802	1.41
1803	1.013
1804	0.994
1805	1.331
1806	1.357
1807	1.07
1808	1.436
1809	1.164
1810	1.146
1811	1.095
1812	1.26
1813	1.047
1814	0.866
1815	1.357
1816	1.238
1817	1.252
1818	1.202
1819	0.831
1820	1.032
1821	1.112
1822	0.997
1823	0.783
1824	0.691
1825	0.823
1826	0.778
1827	0.985
1828	1.253
1829	0.761
1830	1.125
1831	1.223
1832	1.246
1833	1.09
1834	1.458
1835	1.24
1836	0.842
1837	0.9
1838	0.986
1839	0.544
1840	1.07
1841	1.087
1842	1.053
1843	0.893
1844	0.756
1845	1.041
1846	1.093
1847	0.901
1848	0.831
1849	0.685
1850	0.852
1851	0.923
1852	0.758
1853	0.669
1854	0.762
1855	0.547
1856	0.545
1857	0.958
1858	0.969
1859	0.754
1860	0.724
1861	0.81
1862	0.786
1863	0.675
1864	0.742
1865	0.424
1866	0.549
1867	0.709
1868	0.875
1869	0.608
1870	0.522
1871	0.664
1872	0.589
1873	0.51
1874	0.722
1875	0.804
1876	1.072
1877	0.76
1878	0.779
1879	0.612
1880	0.63
1881	0.431
1882	0.708
1883	0.554
1884	0.69
1885	0.363
1886	0.461
1887	0.583
1888	0.793
1889	0.864
1890	0.791
1891	0.554
1892	0.73
1893	0.575
1894	0.676
1895	0.515
1896	0.501
1897	0.812
1898	0.578
1899	0.651
1900	0.566
1901	0.412
1902	0.758
1903	0.924
1904	1.111
1905	0.838
1906	0.565
1907	0.453
1908	0.64
1909	0.742
1910	0.671
1911	0.477
1912	0.46
1913	0.778
1914	0.426
1915	0.523
1916	0.948
1917	1.031
1918	0.901
1919	1.227
1920	0.924
1921	1.202
1922	1.235
1923	1.253
1924	1.26
1925	1.623
1926	0.849
1927	1.294
1928	1.945
1929	1.545
1930	1.266
1931	0.638
1932	0.899
1933	1.092
1934	1.075
1935	1.329
1936	0.825
1937	1.284
1938	1.286
1939	1.41
1940	1.024
1941	1.252
1942	1.16
1943	1.528
1944	0.821
1945	0.821
1946	1.346
1947	1.253
1948	1.45
1949	1.519
1950	1.308
1951	1.596
1952	0.914
1953	1.154
1954	1.075
1955	0.832
1956	1.167
1957	1.279
1958	1.19
1959	1.494
1960	0.679
1961	1.359
1962	0.769
1963	1.049
1964	0.945
1965	0.775
1966	0.656
1967	0.719
1968	0.708
1969	0.583
1970	0.777
1971	0.864
1972	0.633
1973	1.084
1974	1.039
1975	0.975
1976	1.112
1977	0.767
1978	0.687
1979	0.913
1980	0.997
1981	0.966