# northamerica_usa_ca539 - San Bernardino Mountains D - 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/4176
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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_ca539 - San Bernardino Mountains D - 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: San Bernardino Mountains D
#	Location:
#	Country: United States
#	Northernmost_Latitude: 33.98
#	Southernmost_Latitude: 33.98
#	Easternmost_Longitude: -116.75
#	Westernmost_Longitude: -116.75
#	Elevation: 1600 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ca539B
#	Earliest_Year: 1831
#	Most_Recent_Year: 1988
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.82667319143","T2":"16.1289647604","M1":"0.0232975236128","M2":"0.474902289833"}}
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# Species
#	Species_Name: bigcone Douglas fir
#	Species_Code: PSMA
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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
1831	1.215
1832	1.457
1833	1.546
1834	0.965
1835	0.811
1836	1.151
1837	1.016
1838	1.255
1839	1.663
1840	1.373
1841	0.607
1842	0.716
1843	0.455
1844	0.774
1845	0.071
1846	0.823
1847	0.863
1848	1.069
1849	1.018
1850	1.18
1851	1.154
1852	1.204
1853	1.493
1854	1.473
1855	1.338
1856	0.838
1857	0.441
1858	0.85
1859	1.066
1860	0.673
1861	0.742
1862	0.92
1863	0.558
1864	0.185
1865	0.577
1866	0.75
1867	0.759
1868	1.444
1869	1.292
1870	1.304
1871	0.707
1872	0.941
1873	0.325
1874	0.869
1875	0.702
1876	0.792
1877	0.574
1878	0.818
1879	0.001
1880	0.789
1881	0.642
1882	0.673
1883	0.722
1884	1.153
1885	1.193
1886	1.427
1887	1.142
1888	1.186
1889	1.003
1890	1.452
1891	1.71
1892	1.765
1893	1.378
1894	1.224
1895	1.156
1896	0.624
1897	0.903
1898	0.948
1899	0.476
1900	0.74
1901	1.185
1902	0.966
1903	1.236
1904	0.622
1905	1.131
1906	1.561
1907	1.52
1908	1.443
1909	1.436
1910	1.044
1911	1.023
1912	0.956
1913	1.209
1914	1.211
1915	1.429
1916	1.442
1917	1.643
1918	1.041
1919	0.599
1920	1.246
1921	1.391
1922	1.26
1923	1.271
1924	1.045
1925	1.006
1926	1.157
1927	1.026
1928	0.74
1929	0.968
1930	1.078
1931	0.803
1932	1.033
1933	0.95
1934	0.32
1935	0.964
1936	0.684
1937	1.011
1938	1.164
1939	1.125
1940	1.14
1941	1.197
1942	1.029
1943	0.869
1944	1.316
1945	1.229
1946	1.014
1947	1.038
1948	0.764
1949	0.817
1950	0.885
1951	0.32
1952	0.875
1953	1.164
1954	1.031
1955	0.629
1956	0.897
1957	0.835
1958	1.292
1959	0.394
1960	0.848
1961	-0.066
1962	0.689
1963	0.252
1964	0.781
1965	0.883
1966	0.762
1967	1.174
1968	0.867
1969	1.111
1970	0.628
1971	0.68
1972	-0.009
1973	0.78
1974	0.766
1975	1.061
1976	0.849
1977	1.27
1978	0.98
1979	1.272
1980	1.808
1981	0.773
1982	1.354
1983	2.332
1984	0.911
1985	1.118
1986	1.211
1987	0.891
1988	0.788