# europe_spai053 - Sant Maurici - 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/4755
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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: europe_spai053 - Sant Maurici - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# 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:
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#	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: Sant Maurici
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 42.5
#	Southernmost_Latitude: 42.5
#	Easternmost_Longitude: 1.5
#	Westernmost_Longitude: 1.5
#	Elevation: 2000 m
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# Data_Collection
#	Collection_Name: europe_spai053B
#	Earliest_Year: 1821
#	Most_Recent_Year: 1996
#	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":"4.39803397983","T2":"13.6139183043","M1":"0.0226990190966","M2":"0.599334369977"}}
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# Species
#	Species_Name: mountain pine
#	Species_Code: PIUN
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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
1821	0.956
1822	0.815
1823	1.087
1824	0.978
1825	1.157
1826	0.777
1827	1.269
1828	1.066
1829	0.925
1830	0.951
1831	0.983
1832	0.987
1833	1.071
1834	1.29
1835	1.256
1836	0.827
1837	1.176
1838	1.143
1839	0.805
1840	1.064
1841	1.215
1842	1.014
1843	1.166
1844	1.086
1845	0.838
1846	1.166
1847	0.801
1848	1.007
1849	0.88
1850	1.106
1851	0.883
1852	1.132
1853	0.666
1854	1.001
1855	0.769
1856	0.783
1857	0.869
1858	0.812
1859	1.09
1860	0.761
1861	0.969
1862	0.789
1863	0.925
1864	1.069
1865	0.829
1866	0.825
1867	1.089
1868	0.771
1869	0.991
1870	0.954
1871	0.945
1872	0.885
1873	0.844
1874	0.954
1875	0.981
1876	0.901
1877	0.966
1878	1.053
1879	0.531
1880	0.843
1881	0.881
1882	0.843
1883	0.864
1884	1.131
1885	1.109
1886	0.946
1887	0.873
1888	1.054
1889	1.13
1890	0.874
1891	1.063
1892	1.073
1893	1.156
1894	1.016
1895	1.315
1896	1.107
1897	1.214
1898	1.193
1899	1.268
1900	1.161
1901	1.179
1902	1.215
1903	1.193
1904	1.283
1905	1.161
1906	0.863
1907	0.876
1908	0.784
1909	0.641
1910	0.827
1911	1.143
1912	0.912
1913	0.917
1914	1.267
1915	1.124
1916	0.973
1917	0.95
1918	1.094
1919	1.141
1920	1.479
1921	1.23
1922	0.993
1923	1.042
1924	0.999
1925	1.066
1926	0.823
1927	1.02
1928	0.908
1929	0.9
1930	1.227
1931	0.738
1932	0.99
1933	0.916
1934	0.798
1935	0.881
1936	1.013
1937	0.994
1938	1.033
1939	1.313
1940	1.154
1941	1.017
1942	0.872
1943	0.894
1944	0.775
1945	0.817
1946	0.829
1947	0.689
1948	0.937
1949	0.805
1950	0.842
1951	1.08
1952	1.073
1953	1.127
1954	0.962
1955	1.095
1956	1.13
1957	0.949
1958	1.065
1959	1.263
1960	1.266
1961	1.423
1962	0.847
1963	0.905
1964	1.185
1965	0.696
1966	0.88
1967	0.541
1968	0.779
1969	1.069
1970	1.039
1971	1.095
1972	1.078
1973	1.217
1974	1.188
1975	0.955
1976	0.832
1977	0.776
1978	1.025
1979	0.862
1980	0.923
1981	0.902
1982	1.132
1983	1.028
1984	0.684
1985	0.963
1986	0.599
1987	0.811
1988	0.962
1989	0.812
1990	1.13
1991	0.663
1992	0.98
1993	1.204
1994	1.093
1995	1.04
1996	1.322