# northamerica_usa_wa6 - Goat Mountain  Mt.St.Helens Ntl.Monument - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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/3656
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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_wa6 - Goat Mountain  Mt.St.Helens Ntl.Monument - 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.
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#	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: Goat Mountain  Mt.St.Helens Ntl.Monument
#	Location:
#	Country: United States
#	Northernmost_Latitude: 46.35
#	Southernmost_Latitude: 46.35
#	Easternmost_Longitude: -122.08
#	Westernmost_Longitude: -122.08
#	Elevation: 980 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa6B
#	Earliest_Year: 1762
#	Most_Recent_Year: 1986
#	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":"3.85238477786","T2":"13.1159795201","M1":"0.0222477472982","M2":"0.41597409847"}}
#--------------------
# Species
#	Species_Name: western hemlock
#	Species_Code: TSHE
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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
#
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1762	1.079
1763	0.977
1764	0.928
1765	0.995
1766	1.097
1767	1.076
1768	1.101
1769	1.21
1770	1.126
1771	0.952
1772	1.158
1773	1.308
1774	1.131
1775	0.968
1776	0.836
1777	0.86
1778	1.103
1779	1.209
1780	1.113
1781	0.982
1782	0.933
1783	0.787
1784	0.755
1785	0.782
1786	0.905
1787	0.907
1788	1.059
1789	0.93
1790	0.94
1791	0.76
1792	0.939
1793	0.889
1794	0.768
1795	0.699
1796	0.662
1797	0.696
1798	0.96
1799	0.887
1800	0.645
1801	0.881
1802	1.061
1803	0.985
1804	1.096
1805	1.059
1806	0.935
1807	0.801
1808	0.802
1809	0.696
1810	0.846
1811	0.97
1812	0.732
1813	0.88
1814	0.787
1815	0.816
1816	0.851
1817	0.778
1818	0.691
1819	0.798
1820	0.759
1821	0.803
1822	0.86
1823	0.719
1824	0.573
1825	0.708
1826	0.647
1827	0.756
1828	0.845
1829	0.807
1830	0.817
1831	0.899
1832	0.674
1833	0.756
1834	0.727
1835	0.687
1836	0.685
1837	0.638
1838	0.715
1839	0.732
1840	0.688
1841	0.813
1842	0.714
1843	0.697
1844	0.648
1845	0.856
1846	0.825
1847	0.733
1848	0.748
1849	0.421
1850	0.65
1851	0.76
1852	0.635
1853	0.769
1854	0.734
1855	0.758
1856	0.81
1857	0.885
1858	0.899
1859	0.887
1860	1.19
1861	0.956
1862	0.733
1863	1.008
1864	0.712
1865	0.62
1866	0.714
1867	0.683
1868	0.798
1869	0.647
1870	0.615
1871	0.532
1872	0.703
1873	0.85
1874	0.875
1875	0.771
1876	0.562
1877	0.701
1878	0.801
1879	1.081
1880	0.979
1881	0.984
1882	0.903
1883	0.824
1884	0.728
1885	0.923
1886	0.696
1887	0.88
1888	0.836
1889	0.856
1890	0.946
1891	1.183
1892	1.26
1893	1.128
1894	1.174
1895	1.133
1896	0.799
1897	0.697
1898	0.875
1899	0.886
1900	0.899
1901	1.02
1902	1.231
1903	1.494
1904	1.743
1905	2.158
1906	2.048
1907	1.468
1908	1.505
1909	1.419
1910	1.992
1911	1.446
1912	1.226
1913	1.597
1914	1.737
1915	1.347
1916	1.545
1917	1.291
1918	0.949
1919	1.371
1920	1.495
1921	1.329
1922	1.043
1923	1.234
1924	1.032
1925	1.085
1926	1.015
1927	1.331
1928	1.459
1929	1.174
1930	1.271
1931	1.222
1932	1.386
1933	1.337
1934	1.152
1935	1.261
1936	1.016
1937	1.126
1938	0.994
1939	1.188
1940	1.197
1941	1.319
1942	1.395
1943	1.314
1944	1.095
1945	0.874
1946	1.065
1947	1.123
1948	1.113
1949	1.167
1950	1.288
1951	1.237
1952	1.037
1953	0.809
1954	1.001
1955	1.014
1956	0.876
1957	0.849
1958	0.814
1959	0.643
1960	0.769
1961	0.698
1962	0.853
1963	1.118
1964	0.954
1965	1.013
1966	0.781
1967	0.688
1968	0.726
1969	0.856
1970	0.788
1971	0.832
1972	0.797
1973	0.664
1974	0.699
1975	0.764
1976	0.944
1977	0.814
1978	0.881
1979	0.93
1980	0.638
1981	0.977
1982	0.793
1983	0.868
1984	0.802
1985	0.384
1986	0.372