# northamerica_usa_wa082 - Hurricane Ridge - 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/2825
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa082 - Hurricane Ridge - 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: Hurricane Ridge
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.98
#	Southernmost_Latitude: 47.98
#	Easternmost_Longitude: -123.47
#	Westernmost_Longitude: -123.47
#	Elevation: 1550 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa082B
#	Earliest_Year: 1761
#	Most_Recent_Year: 1983
#	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":"5.94995327383","T2":"17.9038724894","M1":"0.0221031735221","M2":"0.384970542351"}}
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# Species
#	Species_Name: Pacific silver fir
#	Species_Code: ABAM
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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)
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##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
1761	0.866
1762	0.948
1763	0.967
1764	0.928
1765	1.109
1766	1.018
1767	0.897
1768	1.129
1769	1.259
1770	1.036
1771	1.136
1772	0.837
1773	1.018
1774	0.802
1775	0.644
1776	0.861
1777	1.337
1778	1.138
1779	0.859
1780	0.934
1781	0.958
1782	0.803
1783	0.832
1784	0.891
1785	0.82
1786	0.915
1787	0.751
1788	0.802
1789	0.812
1790	0.782
1791	0.95
1792	1.054
1793	0.957
1794	1.005
1795	0.988
1796	0.88
1797	0.86
1798	0.996
1799	0.848
1800	1.022
1801	0.811
1802	0.983
1803	0.924
1804	0.992
1805	1.225
1806	0.761
1807	0.996
1808	0.963
1809	1.055
1810	0.768
1811	1.132
1812	1.066
1813	1.048
1814	1.275
1815	1.183
1816	1.345
1817	1.36
1818	1.021
1819	0.892
1820	0.889
1821	1.143
1822	1.44
1823	0.973
1824	0.807
1825	1.182
1826	0.968
1827	0.722
1828	0.923
1829	0.889
1830	0.9
1831	1.01
1832	0.869
1833	1.163
1834	1.243
1835	0.9
1836	0.858
1837	0.889
1838	0.913
1839	1.022
1840	0.614
1841	0.713
1842	0.792
1843	0.983
1844	0.736
1845	0.626
1846	0.855
1847	0.79
1848	0.942
1849	0.815
1850	0.514
1851	0.997
1852	0.854
1853	0.821
1854	0.77
1855	0.788
1856	0.709
1857	0.786
1858	0.856
1859	0.803
1860	1.013
1861	0.823
1862	0.795
1863	1.229
1864	0.755
1865	1.277
1866	0.838
1867	0.861
1868	1.02
1869	0.822
1870	0.745
1871	0.764
1872	0.879
1873	1.043
1874	1.014
1875	1.168
1876	0.605
1877	1.028
1878	1.081
1879	1.246
1880	0.795
1881	0.962
1882	1.148
1883	1.091
1884	1.15
1885	0.988
1886	1.53
1887	0.938
1888	1.006
1889	1.041
1890	1.204
1891	1.282
1892	1.036
1893	0.996
1894	1.012
1895	1.129
1896	1.014
1897	1.036
1898	1.097
1899	0.87
1900	0.823
1901	1.096
1902	0.785
1903	0.973
1904	1.392
1905	1.118
1906	1.012
1907	1.278
1908	1.165
1909	0.86
1910	0.841
1911	1.106
1912	1.194
1913	1.203
1914	1.274
1915	1.136
1916	0.866
1917	1.19
1918	1.034
1919	1.161
1920	1.011
1921	0.796
1922	0.994
1923	0.948
1924	0.917
1925	0.878
1926	0.773
1927	0.837
1928	0.854
1929	0.93
1930	0.896
1931	0.92
1932	1.032
1933	1.112
1934	0.872
1935	1.094
1936	0.811
1937	0.88
1938	1.022
1939	0.841
1940	0.927
1941	1.035
1942	1.085
1943	0.918
1944	1.118
1945	1.093
1946	0.832
1947	1.11
1948	1.169
1949	1.204
1950	1.184
1951	0.901
1952	0.984
1953	0.749
1954	0.833
1955	1.18
1956	0.963
1957	0.96
1958	1.109
1959	0.744
1960	0.958
1961	0.891
1962	0.779
1963	1.0
1964	0.99
1965	1.122
1966	0.944
1967	1.131
1968	0.898
1969	0.976
1970	1.187
1971	0.989
1972	0.938
1973	0.939
1974	0.82
1975	1.004
1976	0.882
1977	1.276
1978	0.884
1979	1.138
1980	1.131
1981	1.367
1982	0.949
1983	0.973