# europe_turk036 - GÃÂ¶ller - 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/5553
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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
#--------------------
# Title
#	Study_Name: europe_turk036 - GÃÂ¶ller - Breitenmoser Tree Ring Chronology Data
#--------------------
# 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:
#--------------------
#	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: GÃÂ¶ller
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 37.08
#	Southernmost_Latitude: 37.08
#	Easternmost_Longitude: 30.52
#	Westernmost_Longitude: 30.52
#	Elevation: 1047 m
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# Data_Collection
#	Collection_Name: europe_turk036B
#	Earliest_Year: 1760
#	Most_Recent_Year: 2001
#	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":"4.47332214214","T2":"14.6650949904","M1":"0.0229001811734","M2":"0.415422366093"}}
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# Species
#	Species_Name: Calabrian pine
#	Species_Code: PIBR
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# Chronology:
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# Variables
#
# 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
1760	0.902
1761	0.935
1762	0.793
1763	0.619
1764	0.762
1765	0.655
1766	0.847
1767	0.962
1768	0.935
1769	1.118
1770	1.168
1771	0.981
1772	1.059
1773	1.12
1774	1.264
1775	1.203
1776	1.049
1777	1.103
1778	1.213
1779	0.82
1780	1.256
1781	1.186
1782	1.033
1783	1.269
1784	1.072
1785	1.192
1786	1.172
1787	0.893
1788	1.031
1789	0.98
1790	0.868
1791	1.08
1792	1.111
1793	0.9
1794	0.97
1795	1.229
1796	1.034
1797	1.069
1798	1.038
1799	0.66
1800	0.674
1801	0.755
1802	0.865
1803	0.888
1804	0.826
1805	0.768
1806	0.964
1807	0.912
1808	0.783
1809	0.939
1810	0.926
1811	0.902
1812	0.981
1813	0.864
1814	0.798
1815	0.875
1816	1.026
1817	1.076
1818	1.254
1819	1.046
1820	0.912
1821	0.988
1822	0.826
1823	0.781
1824	0.767
1825	0.668
1826	0.795
1827	1.2
1828	1.027
1829	0.979
1830	0.998
1831	1.089
1832	1.084
1833	1.141
1834	0.917
1835	1.562
1836	1.283
1837	1.227
1838	1.433
1839	1.204
1840	0.864
1841	1.031
1842	0.954
1843	1.138
1844	1.051
1845	0.997
1846	1.073
1847	0.884
1848	1.111
1849	0.906
1850	0.89
1851	0.83
1852	0.855
1853	1.075
1854	0.802
1855	1.361
1856	0.818
1857	1.37
1858	0.942
1859	0.945
1860	0.736
1861	0.871
1862	0.899
1863	0.8
1864	0.881
1865	1.067
1866	1.015
1867	0.788
1868	0.97
1869	0.848
1870	0.816
1871	0.917
1872	1.092
1873	1.068
1874	0.857
1875	0.917
1876	1.582
1877	1.204
1878	0.863
1879	0.744
1880	0.98
1881	1.001
1882	1.049
1883	1.106
1884	1.088
1885	1.235
1886	1.034
1887	0.904
1888	0.957
1889	1.291
1890	0.958
1891	0.864
1892	0.878
1893	0.658
1894	0.718
1895	0.736
1896	0.876
1897	0.929
1898	0.747
1899	0.853
1900	1.361
1901	1.211
1902	1.069
1903	1.505
1904	1.204
1905	1.07
1906	0.925
1907	0.398
1908	0.529
1909	0.64
1910	0.946
1911	0.89
1912	0.9
1913	1.267
1914	1.468
1915	1.212
1916	0.999
1917	1.13
1918	0.994
1919	1.409
1920	1.021
1921	0.881
1922	1.036
1923	1.041
1924	1.23
1925	1.337
1926	1.203
1927	0.735
1928	0.672
1929	0.821
1930	1.123
1931	1.052
1932	0.747
1933	1.024
1934	1.048
1935	0.679
1936	1.195
1937	0.963
1938	0.776
1939	0.914
1940	0.965
1941	0.83
1942	0.848
1943	1.085
1944	0.958
1945	0.654
1946	0.783
1947	0.821
1948	1.043
1949	0.79
1950	0.852
1951	0.977
1952	1.213
1953	0.691
1954	0.8
1955	0.825
1956	0.715
1957	0.774
1958	1.171
1959	0.832
1960	1.11
1961	0.769
1962	0.885
1963	0.932
1964	0.847
1965	0.82
1966	1.418
1967	0.863
1968	1.38
1969	1.143
1970	1.103
1971	0.86
1972	1.494
1973	0.873
1974	1.073
1975	1.165
1976	1.114
1977	1.11
1978	1.132
1979	1.347
1980	0.856
1981	1.022
1982	1.382
1983	1.03
1984	1.027
1985	0.716
1986	0.948
1987	0.933
1988	1.004
1989	0.974
1990	1.249
1991	1.143
1992	1.36
1993	1.079
1994	0.935
1995	1.136
1996	0.924
1997	1.114
1998	0.926
1999	0.727
2000	0.634
2001	0.796