# northamerica_usa_ca598 - Santa Lucia Mountains - 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/2763
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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_ca598 - Santa Lucia Mountains - 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: Santa Lucia Mountains
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.07
#	Southernmost_Latitude: 36.07
#	Easternmost_Longitude: -121.57
#	Westernmost_Longitude: -121.57
#	Elevation: 625 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ca598B
#	Earliest_Year: 1849
#	Most_Recent_Year: 1995
#	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":"4.18265268084","T2":"15.7388520897","M1":"0.0226426341147","M2":"0.518402474589"}}
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# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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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
1849	1.001
1850	1.191
1851	0.823
1852	1.024
1853	1.18
1854	0.866
1855	0.955
1856	1.028
1857	1.168
1858	1.107
1859	0.828
1860	1.144
1861	1.349
1862	1.011
1863	0.918
1864	0.684
1865	0.888
1866	1.06
1867	1.168
1868	1.131
1869	1.176
1870	1.111
1871	1.062
1872	1.227
1873	0.864
1874	0.717
1875	0.757
1876	0.898
1877	0.495
1878	0.993
1879	0.928
1880	0.972
1881	1.021
1882	0.808
1883	0.9
1884	1.406
1885	1.159
1886	0.829
1887	0.689
1888	0.769
1889	1.035
1890	1.161
1891	0.887
1892	0.722
1893	1.469
1894	1.092
1895	0.963
1896	0.967
1897	0.905
1898	0.645
1899	1.067
1900	1.195
1901	1.083
1902	0.968
1903	1.276
1904	1.017
1905	1.004
1906	1.009
1907	1.31
1908	0.968
1909	0.844
1910	0.932
1911	0.941
1912	1.043
1913	0.979
1914	1.217
1915	0.971
1916	0.771
1917	0.765
1918	0.688
1919	1.16
1920	0.876
1921	1.067
1922	1.046
1923	1.322
1924	0.715
1925	0.689
1926	0.937
1927	1.051
1928	0.892
1929	0.822
1930	0.899
1931	0.811
1932	0.938
1933	0.681
1934	0.762
1935	0.639
1936	0.551
1937	0.726
1938	1.114
1939	0.851
1940	0.818
1941	0.976
1942	1.042
1943	1.137
1944	0.869
1945	0.864
1946	1.106
1947	0.776
1948	0.814
1949	0.918
1950	1.008
1951	0.896
1952	1.145
1953	0.966
1954	1.037
1955	1.063
1956	1.209
1957	1.053
1958	1.521
1959	0.87
1960	0.808
1961	0.877
1962	1.117
1963	0.949
1964	0.843
1965	1.063
1966	0.768
1967	0.871
1968	0.997
1969	1.188
1970	0.788
1971	1.082
1972	0.801
1973	0.978
1974	1.178
1975	1.673
1976	0.913
1977	0.612
1978	0.779
1979	0.901
1980	0.995
1981	0.895
1982	1.207
1983	1.72
1984	1.249
1985	0.909
1986	1.019
1987	0.851
1988	0.552
1989	0.869
1990	1.026
1991	0.987
1992	1.235
1993	1.167
1994	1.087
1995	1.752