# europe_turk015 - Dumali Dag - 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/5128
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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_turk015 - Dumali Dag - 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: Dumali Dag
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 37.4
#	Southernmost_Latitude: 37.4
#	Easternmost_Longitude: 30.63
#	Westernmost_Longitude: 30.63
#	Elevation: 1156 m
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# Data_Collection
#	Collection_Name: europe_turk015B
#	Earliest_Year: 1831
#	Most_Recent_Year: 2000
#	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":"4.31208378249","T2":"14.9260298327","M1":"0.0221717698438","M2":"0.289404872792"}}
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# Species
#	Species_Name: Calabrian pine
#	Species_Code: PIBR
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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	1.085
1832	1.137
1833	1.126
1834	0.945
1835	1.324
1836	0.843
1837	1.0
1838	1.27
1839	1.008
1840	0.598
1841	1.184
1842	1.029
1843	1.231
1844	0.937
1845	1.074
1846	1.188
1847	1.01
1848	1.524
1849	0.917
1850	1.207
1851	1.007
1852	0.828
1853	0.966
1854	0.756
1855	1.234
1856	0.746
1857	1.155
1858	0.821
1859	1.305
1860	0.808
1861	0.869
1862	0.942
1863	0.704
1864	0.728
1865	0.897
1866	0.929
1867	0.738
1868	1.016
1869	0.776
1870	0.731
1871	0.865
1872	1.209
1873	1.018
1874	0.733
1875	0.809
1876	1.449
1877	1.205
1878	0.947
1879	0.745
1880	0.817
1881	0.907
1882	1.05
1883	1.187
1884	1.219
1885	1.533
1886	1.172
1887	0.826
1888	0.993
1889	1.339
1890	0.878
1891	0.88
1892	0.774
1893	0.59
1894	0.622
1895	0.583
1896	0.801
1897	0.851
1898	0.568
1899	0.541
1900	0.97
1901	1.11
1902	1.06
1903	1.389
1904	1.155
1905	1.04
1906	0.982
1907	0.605
1908	0.569
1909	0.484
1910	0.838
1911	0.718
1912	0.726
1913	1.088
1914	1.368
1915	1.31
1916	0.967
1917	1.005
1918	0.851
1919	1.14
1920	0.814
1921	0.841
1922	1.007
1923	0.859
1924	1.249
1925	1.262
1926	1.228
1927	0.664
1928	0.631
1929	0.839
1930	1.302
1931	1.192
1932	0.734
1933	0.955
1934	1.08
1935	0.68
1936	1.141
1937	0.909
1938	0.814
1939	0.903
1940	1.104
1941	0.768
1942	0.833
1943	1.086
1944	1.072
1945	0.728
1946	0.888
1947	0.812
1948	1.145
1949	0.888
1950	0.879
1951	1.065
1952	1.231
1953	0.774
1954	0.848
1955	1.0
1956	0.818
1957	1.001
1958	1.545
1959	1.142
1960	1.528
1961	0.851
1962	1.02
1963	1.18
1964	0.984
1965	0.916
1966	1.283
1967	0.874
1968	1.239
1969	1.028
1970	1.088
1971	0.951
1972	1.532
1973	0.933
1974	1.11
1975	1.379
1976	1.229
1977	1.113
1978	1.092
1979	1.399
1980	0.838
1981	1.029
1982	1.344
1983	1.08
1984	1.111
1985	0.726
1986	0.958
1987	0.934
1988	0.93
1989	1.005
1990	1.246
1991	1.054
1992	1.231
1993	0.981
1994	0.902
1995	0.995
1996	0.735
1997	0.873
1998	0.808
1999	0.731
2000	0.65