# europe_turk019 - Katrandagi - 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/5132
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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_turk019 - Katrandagi - 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:
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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: Katrandagi
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 37.38
#	Southernmost_Latitude: 37.38
#	Easternmost_Longitude: 30.6
#	Westernmost_Longitude: 30.6
#	Elevation: 1469 m
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# Data_Collection
#	Collection_Name: europe_turk019B
#	Earliest_Year: 1814
#	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":"4.41048835592","T2":"15.4896880116","M1":"0.0218456909889","M2":"0.337715410312"}}
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# Species
#	Species_Name: cedar of Lebanone
#	Species_Code: CDLI
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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
1814	0.72
1815	0.741
1816	0.937
1817	0.596
1818	0.755
1819	0.587
1820	0.427
1821	0.607
1822	0.62
1823	0.796
1824	0.567
1825	0.844
1826	0.688
1827	1.258
1828	1.081
1829	1.037
1830	0.949
1831	1.184
1832	1.436
1833	1.643
1834	1.097
1835	1.121
1836	1.104
1837	1.257
1838	1.097
1839	0.919
1840	0.659
1841	1.196
1842	1.072
1843	1.16
1844	1.231
1845	1.315
1846	1.487
1847	1.213
1848	1.434
1849	0.839
1850	0.815
1851	0.88
1852	0.917
1853	1.262
1854	0.955
1855	1.164
1856	0.679
1857	0.67
1858	0.681
1859	1.068
1860	1.064
1861	0.743
1862	0.815
1863	0.905
1864	0.99
1865	1.063
1866	1.275
1867	1.065
1868	1.055
1869	0.924
1870	0.799
1871	0.911
1872	0.965
1873	0.91
1874	0.699
1875	0.822
1876	1.236
1877	1.144
1878	0.982
1879	0.949
1880	0.884
1881	0.944
1882	0.838
1883	1.015
1884	1.136
1885	1.495
1886	1.126
1887	0.649
1888	0.973
1889	1.139
1890	0.784
1891	0.94
1892	0.996
1893	0.779
1894	0.849
1895	0.899
1896	0.905
1897	0.967
1898	0.677
1899	0.691
1900	0.998
1901	1.298
1902	1.129
1903	1.266
1904	1.374
1905	1.16
1906	1.123
1907	0.93
1908	1.045
1909	0.773
1910	1.08
1911	0.919
1912	0.769
1913	1.099
1914	1.439
1915	1.212
1916	0.839
1917	0.958
1918	0.789
1919	0.74
1920	0.907
1921	1.066
1922	0.966
1923	0.663
1924	1.029
1925	0.841
1926	0.695
1927	0.702
1928	0.542
1929	0.741
1930	1.028
1931	0.971
1932	0.623
1933	0.591
1934	0.707
1935	0.545
1936	1.113
1937	0.802
1938	0.64
1939	0.934
1940	1.14
1941	0.813
1942	0.72
1943	0.646
1944	0.754
1945	0.72
1946	0.929
1947	0.8
1948	0.771
1949	0.766
1950	1.007
1951	0.838
1952	1.451
1953	1.402
1954	1.333
1955	1.109
1956	1.17
1957	1.253
1958	1.328
1959	1.616
1960	1.76
1961	1.22
1962	1.04
1963	1.293
1964	1.133
1965	1.126
1966	1.193
1967	1.211
1968	1.115
1969	1.083
1970	1.426
1971	1.278
1972	1.285
1973	1.176
1974	1.125
1975	1.075
1976	1.28
1977	1.179
1978	1.151
1979	1.316
1980	0.872
1981	1.066
1982	1.084
1983	1.203
1984	0.854
1985	0.923
1986	0.802
1987	0.861
1988	0.676
1989	0.693
1990	0.825
1991	0.896
1992	0.976
1993	0.94
1994	0.896
1995	0.654
1996	0.689
1997	0.83
1998	0.891
1999	0.468
2000	0.743