# northamerica_usa_wa093 - Thornton Lakes Medium - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/4197
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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
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# Title
#	Study_Name: northamerica_usa_wa093 - Thornton Lakes Medium - 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: Thornton Lakes Medium
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.67
#	Southernmost_Latitude: 48.67
#	Easternmost_Longitude: -121.33
#	Westernmost_Longitude: -121.33
#	Elevation: 1370 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa093B
#	Earliest_Year: 1787
#	Most_Recent_Year: 1992
#	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":"5.49360036929","T2":"16.9955255517","M1":"0.0223842939907","M2":"0.395337626756"}}
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# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
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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
1787	0.809
1788	1.202
1789	1.044
1790	0.998
1791	1.362
1792	1.407
1793	1.328
1794	1.379
1795	1.028
1796	1.089
1797	0.744
1798	1.112
1799	0.908
1800	1.157
1801	0.841
1802	0.942
1803	1.082
1804	1.244
1805	1.048
1806	0.568
1807	0.868
1808	0.697
1809	0.938
1810	0.518
1811	0.793
1812	0.864
1813	0.816
1814	0.831
1815	0.948
1816	1.094
1817	1.006
1818	1.023
1819	0.665
1820	0.637
1821	0.904
1822	1.18
1823	0.853
1824	0.789
1825	1.087
1826	0.898
1827	0.916
1828	1.206
1829	1.123
1830	0.966
1831	1.175
1832	0.906
1833	1.24
1834	1.225
1835	0.944
1836	0.958
1837	0.98
1838	0.901
1839	1.242
1840	0.88
1841	1.078
1842	1.194
1843	1.309
1844	1.245
1845	1.158
1846	1.298
1847	0.991
1848	1.099
1849	0.692
1850	0.805
1851	1.013
1852	0.803
1853	0.965
1854	0.906
1855	1.067
1856	0.89
1857	1.062
1858	0.989
1859	1.002
1860	0.971
1861	0.86
1862	0.714
1863	1.051
1864	0.936
1865	0.978
1866	0.811
1867	0.802
1868	1.021
1869	0.89
1870	0.706
1871	0.739
1872	0.933
1873	0.914
1874	0.983
1875	0.897
1876	0.607
1877	0.747
1878	0.767
1879	0.786
1880	0.644
1881	0.991
1882	0.91
1883	0.941
1884	1.095
1885	1.192
1886	1.125
1887	0.965
1888	1.101
1889	1.36
1890	1.046
1891	1.016
1892	1.026
1893	0.872
1894	0.966
1895	1.283
1896	0.945
1897	0.958
1898	1.003
1899	0.534
1900	1.088
1901	1.165
1902	1.051
1903	0.996
1904	1.175
1905	1.027
1906	0.822
1907	0.759
1908	0.686
1909	0.797
1910	1.406
1911	1.196
1912	1.198
1913	1.151
1914	1.328
1915	1.029
1916	0.874
1917	0.941
1918	1.048
1919	1.006
1920	0.997
1921	0.876
1922	0.914
1923	0.975
1924	1.057
1925	0.956
1926	0.986
1927	0.793
1928	0.808
1929	0.595
1930	0.627
1931	0.587
1932	0.606
1933	0.885
1934	1.039
1935	1.201
1936	1.046
1937	1.005
1938	1.008
1939	1.039
1940	0.849
1941	0.959
1942	0.708
1943	0.751
1944	1.011
1945	1.008
1946	1.002
1947	1.072
1948	0.959
1949	0.918
1950	1.222
1951	1.621
1952	1.23
1953	0.809
1954	0.687
1955	0.911
1956	0.786
1957	0.935
1958	1.083
1959	0.933
1960	1.192
1961	0.878
1962	0.731
1963	0.868
1964	1.132
1965	1.47
1966	1.573
1967	1.443
1968	1.196
1969	0.885
1970	0.838
1971	0.703
1972	0.813
1973	0.992
1974	0.679
1975	0.808
1976	0.779
1977	1.209
1978	1.315
1979	1.268
1980	1.063
1981	1.022
1982	0.707
1983	1.047
1984	1.173
1985	0.907
1986	0.723
1987	0.938
1988	1.023
1989	1.077
1990	1.211
1991	0.704
1992	1.233