# europe_roma002 - Novaci - 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/4565
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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_roma002 - Novaci - 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: Novaci
#	Location:
#	Country: Romania
#	Northernmost_Latitude: 45.3
#	Southernmost_Latitude: 45.3
#	Easternmost_Longitude: 23.67
#	Westernmost_Longitude: 23.67
#	Elevation: 1650 m
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# Data_Collection
#	Collection_Name: europe_roma002B
#	Earliest_Year: 1838
#	Most_Recent_Year: 1981
#	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":"5.4449327238","T2":"19.5641899271","M1":"0.0225274288474","M2":"0.344004280742"}}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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
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age	trsgi
1838	0.895
1839	1.121
1840	1.271
1841	1.37
1842	1.071
1843	1.218
1844	1.122
1845	0.904
1846	1.025
1847	1.087
1848	1.182
1849	1.095
1850	1.15
1851	0.859
1852	0.855
1853	1.002
1854	0.965
1855	1.122
1856	0.938
1857	0.95
1858	0.881
1859	0.669
1860	0.651
1861	0.707
1862	1.179
1863	0.963
1864	0.875
1865	0.992
1866	0.886
1867	0.783
1868	0.857
1869	0.672
1870	0.745
1871	0.839
1872	0.731
1873	0.736
1874	0.816
1875	0.816
1876	0.835
1877	0.895
1878	0.729
1879	0.837
1880	0.961
1881	0.915
1882	0.883
1883	0.906
1884	1.333
1885	1.281
1886	1.686
1887	1.451
1888	1.673
1889	1.451
1890	1.453
1891	0.944
1892	0.885
1893	0.577
1894	0.826
1895	0.993
1896	1.146
1897	1.187
1898	1.222
1899	1.408
1900	1.634
1901	1.481
1902	1.519
1903	1.283
1904	1.254
1905	0.886
1906	0.595
1907	0.854
1908	0.887
1909	0.969
1910	0.832
1911	0.938
1912	0.959
1913	0.839
1914	0.743
1915	0.954
1916	1.052
1917	1.078
1918	0.858
1919	0.852
1920	0.754
1921	0.631
1922	0.756
1923	0.762
1924	0.777
1925	0.756
1926	0.964
1927	1.142
1928	0.994
1929	0.999
1930	1.007
1931	1.191
1932	0.992
1933	0.702
1934	0.945
1935	0.906
1936	0.945
1937	1.04
1938	0.958
1939	1.108
1940	0.892
1941	1.031
1942	1.046
1943	0.863
1944	0.934
1945	0.943
1946	1.054
1947	0.847
1948	0.895
1949	0.935
1950	1.207
1951	1.055
1952	1.034
1953	1.142
1954	1.214
1955	1.152
1956	1.053
1957	0.836
1958	0.898
1959	0.896
1960	0.922
1961	0.888
1962	0.916
1963	0.875
1964	0.762
1965	0.741
1966	0.795
1967	0.816
1968	0.892
1969	1.03
1970	1.062
1971	0.967
1972	1.105
1973	0.898
1974	0.955
1975	0.728
1976	0.611
1977	0.885
1978	0.829
1979	1.189
1980	1.1
1981	1.229