# europe_ital010 - Gambarie Aspromonte - 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/4420
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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_ital010 - Gambarie Aspromonte - 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
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# 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: Gambarie Aspromonte
#	Location:
#	Country: Italy
#	Northernmost_Latitude: 38.17
#	Southernmost_Latitude: 38.17
#	Easternmost_Longitude: 15.92
#	Westernmost_Longitude: 15.92
#	Elevation: 1850 m
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# Data_Collection
#	Collection_Name: europe_ital010B
#	Earliest_Year: 1824
#	Most_Recent_Year: 1980
#	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":"5.23564035895","T2":"15.617821242","M1":"0.0224420212616","M2":"0.258386539166"}}
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# Species
#	Species_Name: silver fir
#	Species_Code: ABAL
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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
1824	0.683
1825	0.735
1826	1.018
1827	0.926
1828	0.835
1829	0.81
1830	0.775
1831	0.72
1832	0.958
1833	0.72
1834	0.769
1835	0.689
1836	0.761
1837	0.863
1838	0.923
1839	0.77
1840	1.032
1841	1.067
1842	1.116
1843	1.184
1844	0.982
1845	1.111
1846	1.035
1847	1.071
1848	0.74
1849	0.877
1850	0.766
1851	0.805
1852	0.944
1853	1.069
1854	0.94
1855	1.136
1856	0.918
1857	0.791
1858	0.888
1859	0.893
1860	0.89
1861	0.73
1862	0.909
1863	0.756
1864	1.045
1865	0.939
1866	1.152
1867	0.878
1868	0.458
1869	0.654
1870	0.837
1871	0.951
1872	1.014
1873	1.097
1874	0.884
1875	1.087
1876	1.296
1877	1.213
1878	1.155
1879	1.068
1880	0.927
1881	1.027
1882	0.71
1883	0.843
1884	1.275
1885	1.689
1886	0.89
1887	0.518
1888	0.6
1889	0.734
1890	0.83
1891	0.762
1892	0.938
1893	1.067
1894	1.113
1895	1.17
1896	1.138
1897	1.424
1898	1.239
1899	1.142
1900	1.047
1901	1.173
1902	1.223
1903	1.094
1904	1.393
1905	1.37
1906	1.413
1907	1.029
1908	1.162
1909	1.266
1910	1.284
1911	1.107
1912	1.126
1913	0.841
1914	0.682
1915	0.695
1916	0.66
1917	0.973
1918	0.69
1919	0.784
1920	0.966
1921	0.989
1922	1.032
1923	0.888
1924	0.98
1925	1.093
1926	1.212
1927	1.025
1928	0.827
1929	0.808
1930	1.339
1931	1.003
1932	0.87
1933	1.016
1934	1.535
1935	1.166
1936	1.471
1937	1.323
1938	1.172
1939	1.134
1940	1.314
1941	1.21
1942	1.235
1943	1.363
1944	0.799
1945	0.794
1946	0.894
1947	0.896
1948	1.014
1949	1.111
1950	0.997
1951	1.002
1952	0.941
1953	0.868
1954	0.905
1955	0.818
1956	0.991
1957	0.744
1958	0.772
1959	0.972
1960	0.982
1961	0.93
1962	0.934
1963	0.688
1964	1.127
1965	0.825
1966	0.718
1967	0.775
1968	0.959
1969	1.057
1970	1.162
1971	1.058
1972	0.936
1973	0.89
1974	0.747
1975	0.967
1976	1.093
1977	0.927
1978	0.63
1979	0.689
1980	0.606