# northamerica_usa_wa017 - Summit Lode Road - 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/2913
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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_wa017 - Summit Lode Road - Breitenmoser Tree Ring Chronology Data
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# 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: Summit Lode Road
#	Location:
#	Country: United States
#	Northernmost_Latitude: 46.67
#	Southernmost_Latitude: 46.67
#	Easternmost_Longitude: -121.53
#	Westernmost_Longitude: -121.53
#	Elevation: 1224 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa017B
#	Earliest_Year: 1776
#	Most_Recent_Year: 1975
#	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":"5.56823622979","T2":"14.6878571399","M1":"0.0230026600244","M2":"0.497809054666"}}
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# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
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# Chronology:
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# Variables
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# 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
1776	1.055
1777	1.517
1778	1.574
1779	1.562
1780	1.571
1781	1.532
1782	1.231
1783	1.216
1784	1.296
1785	1.093
1786	1.141
1787	0.89
1788	1.222
1789	1.369
1790	1.314
1791	1.121
1792	1.226
1793	1.401
1794	1.095
1795	1.025
1796	0.956
1797	0.784
1798	0.981
1799	0.969
1800	1.05
1801	1.208
1802	1.141
1803	1.252
1804	1.318
1805	1.153
1806	1.168
1807	1.097
1808	1.129
1809	1.023
1810	1.044
1811	1.029
1812	0.988
1813	1.02
1814	1.147
1815	1.059
1816	1.037
1817	0.937
1818	0.939
1819	1.044
1820	1.04
1821	0.888
1822	1.033
1823	0.873
1824	1.015
1825	1.173
1826	1.045
1827	0.884
1828	0.949
1829	1.156
1830	0.897
1831	0.847
1832	0.939
1833	1.012
1834	0.935
1835	0.875
1836	0.749
1837	0.734
1838	0.789
1839	0.894
1840	0.694
1841	0.73
1842	0.869
1843	0.805
1844	0.908
1845	1.14
1846	1.137
1847	0.805
1848	0.938
1849	0.687
1850	0.663
1851	0.671
1852	0.502
1853	0.565
1854	0.647
1855	0.774
1856	0.881
1857	0.878
1858	1.099
1859	0.988
1860	1.145
1861	1.143
1862	0.796
1863	0.965
1864	0.852
1865	0.86
1866	0.917
1867	0.951
1868	1.019
1869	0.859
1870	0.972
1871	0.785
1872	0.78
1873	0.835
1874	0.704
1875	0.691
1876	0.839
1877	0.959
1878	0.995
1879	1.082
1880	0.898
1881	0.973
1882	1.01
1883	0.871
1884	0.916
1885	0.953
1886	0.888
1887	0.62
1888	0.743
1889	0.756
1890	0.619
1891	0.555
1892	0.752
1893	0.787
1894	0.789
1895	0.528
1896	0.654
1897	0.548
1898	0.621
1899	0.6
1900	0.925
1901	1.044
1902	0.919
1903	0.808
1904	0.918
1905	0.713
1906	0.729
1907	0.842
1908	0.856
1909	0.859
1910	0.896
1911	0.984
1912	1.112
1913	1.271
1914	1.148
1915	1.061
1916	1.306
1917	1.155
1918	0.88
1919	0.925
1920	1.009
1921	1.048
1922	0.754
1923	0.911
1924	0.818
1925	0.717
1926	0.64
1927	0.812
1928	0.998
1929	0.923
1930	0.804
1931	0.974
1932	1.07
1933	1.21
1934	1.325
1935	1.268
1936	1.051
1937	1.214
1938	1.289
1939	0.971
1940	0.947
1941	0.912
1942	1.319
1943	1.193
1944	1.104
1945	1.017
1946	1.141
1947	0.974
1948	1.216
1949	1.089
1950	1.406
1951	1.264
1952	1.046
1953	0.976
1954	1.179
1955	1.29
1956	1.043
1957	1.135
1958	1.065
1959	0.822
1960	0.97
1961	1.104
1962	0.992
1963	1.069
1964	1.138
1965	1.145
1966	1.037
1967	1.075
1968	0.925
1969	0.974
1970	1.074
1971	0.932
1972	0.885
1973	0.998
1974	0.89
1975	0.595