# northamerica_usa_wa035 - Deer Park - 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.
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# Online_Resource:
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# Original_Source_URL:
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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_wa035 - Deer Park - 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 Vaganov–Shashkin 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 4–6 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 model’s 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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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
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# Site_Information
#	Site_Name: Deer Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.85
#	Southernmost_Latitude: 47.85
#	Easternmost_Longitude: -123.28
#	Westernmost_Longitude: -123.28
#	Elevation: 1860 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa035B
#	Earliest_Year: 1810
#	Most_Recent_Year: 1976
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"5.63655539601"}{"T2":"18.2700478002"}{"M1":"0.0222074421495"}{"M2":"0.377669293602"}
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# Species
#	Species_Name: subalpine fir
#	Species_Code: ABLA
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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)
#
##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
1810	0.739
1811	0.632
1812	0.494
1813	0.551
1814	0.563
1815	0.54
1816	0.674
1817	0.855
1818	0.753
1819	0.648
1820	0.484
1821	0.475
1822	0.603
1823	0.647
1824	0.726
1825	0.779
1826	0.84
1827	0.857
1828	1.149
1829	1.048
1830	1.114
1831	1.084
1832	0.86
1833	1.024
1834	1.18
1835	0.906
1836	0.872
1837	1.146
1838	0.885
1839	1.51
1840	0.867
1841	1.081
1842	1.329
1843	1.421
1844	1.216
1845	1.151
1846	0.95
1847	0.805
1848	0.925
1849	0.913
1850	0.824
1851	1.208
1852	1.228
1853	1.298
1854	1.186
1855	1.203
1856	1.023
1857	1.202
1858	1.219
1859	1.052
1860	1.03
1861	0.707
1862	1.005
1863	1.128
1864	0.79
1865	1.344
1866	1.014
1867	1.002
1868	1.226
1869	0.991
1870	1.087
1871	0.979
1872	0.984
1873	1.235
1874	1.069
1875	1.101
1876	0.848
1877	1.288
1878	1.027
1879	1.097
1880	0.903
1881	0.758
1882	0.822
1883	1.173
1884	1.027
1885	1.019
1886	1.331
1887	1.144
1888	1.1
1889	1.291
1890	1.253
1891	1.068
1892	0.878
1893	0.685
1894	0.76
1895	0.887
1896	0.872
1897	0.914
1898	0.905
1899	0.665
1900	0.782
1901	0.897
1902	0.753
1903	0.804
1904	1.124
1905	0.838
1906	0.803
1907	1.158
1908	1.078
1909	0.707
1910	0.795
1911	0.845
1912	0.91
1913	0.757
1914	0.853
1915	1.073
1916	0.812
1917	0.916
1918	0.888
1919	0.719
1920	0.953
1921	0.565
1922	0.872
1923	0.713
1924	0.771
1925	0.807
1926	0.91
1927	0.884
1928	1.099
1929	0.97
1930	0.93
1931	1.134
1932	1.018
1933	0.906
1934	0.747
1935	0.905
1936	0.793
1937	0.769
1938	0.858
1939	0.885
1940	1.097
1941	1.393
1942	1.22
1943	1.108
1944	1.471
1945	1.524
1946	1.068
1947	1.162
1948	1.55
1949	1.299
1950	1.288
1951	0.892
1952	1.155
1953	0.981
1954	1.218
1955	1.485
1956	0.987
1957	1.018
1958	1.357
1959	0.908
1960	1.117
1961	0.939
1962	1.082
1963	1.037
1964	0.879
1965	1.146
1966	1.003
1967	1.027
1968	0.734
1969	0.827
1970	0.965
1971	0.749
1972	0.668
1973	0.665
1974	0.684
1975	0.723
1976	0.745