# europe_turk011 - Mugla Forest - 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/3809
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_turk011 - Mugla Forest - 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: Mugla Forest
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 37.23
#	Southernmost_Latitude: 37.23
#	Easternmost_Longitude: 28.38
#	Westernmost_Longitude: 28.38
#	Elevation: 1200 m
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# Data_Collection
#	Collection_Name: europe_turk011B
#	Earliest_Year: 1785
#	Most_Recent_Year: 1999
#	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":"4.94048640423","T2":"12.6504981785","M1":"0.022499611548","M2":"0.444713934832"}}
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# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
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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
1785	0.761
1786	0.798
1787	0.843
1788	1.248
1789	0.957
1790	0.654
1791	0.889
1792	1.115
1793	0.817
1794	0.731
1795	0.928
1796	0.897
1797	0.95
1798	0.906
1799	0.982
1800	1.11
1801	0.922
1802	0.878
1803	0.946
1804	0.94
1805	0.849
1806	0.909
1807	0.972
1808	0.934
1809	1.025
1810	1.029
1811	1.076
1812	0.916
1813	0.81
1814	0.918
1815	0.911
1816	1.073
1817	1.054
1818	1.124
1819	0.772
1820	0.757
1821	0.756
1822	0.767
1823	0.773
1824	0.89
1825	0.969
1826	1.094
1827	1.174
1828	0.976
1829	1.117
1830	0.837
1831	0.988
1832	0.949
1833	0.997
1834	0.974
1835	1.132
1836	1.181
1837	1.084
1838	1.081
1839	1.042
1840	0.801
1841	0.946
1842	1.059
1843	0.848
1844	0.835
1845	1.083
1846	1.331
1847	1.073
1848	0.992
1849	0.852
1850	0.853
1851	0.753
1852	0.497
1853	0.735
1854	0.729
1855	1.234
1856	0.877
1857	1.004
1858	0.975
1859	0.876
1860	0.933
1861	1.032
1862	1.089
1863	0.915
1864	1.027
1865	1.209
1866	1.19
1867	1.052
1868	0.896
1869	1.037
1870	0.843
1871	0.951
1872	0.938
1873	0.87
1874	0.707
1875	0.751
1876	1.177
1877	0.952
1878	0.681
1879	0.805
1880	1.038
1881	1.162
1882	1.159
1883	1.117
1884	1.164
1885	1.301
1886	1.144
1887	0.952
1888	1.068
1889	1.17
1890	0.983
1891	1.093
1892	1.027
1893	0.644
1894	0.834
1895	0.905
1896	1.001
1897	1.274
1898	0.961
1899	0.885
1900	1.128
1901	1.183
1902	1.079
1903	1.305
1904	1.446
1905	1.202
1906	1.175
1907	1.272
1908	1.231
1909	1.196
1910	1.353
1911	1.123
1912	1.225
1913	1.318
1914	1.532
1915	1.798
1916	1.289
1917	1.245
1918	1.053
1919	1.291
1920	1.108
1921	1.227
1922	1.139
1923	1.188
1924	0.901
1925	1.219
1926	1.03
1927	0.842
1928	0.794
1929	0.867
1930	1.129
1931	0.856
1932	0.754
1933	1.047
1934	1.048
1935	0.899
1936	1.325
1937	1.077
1938	0.894
1939	1.08
1940	1.173
1941	0.998
1942	0.819
1943	0.926
1944	0.881
1945	0.746
1946	0.728
1947	0.903
1948	0.705
1949	0.548
1950	0.794
1951	1.062
1952	0.807
1953	0.819
1954	1.027
1955	1.017
1956	0.884
1957	0.838
1958	0.904
1959	0.74
1960	1.104
1961	0.857
1962	0.888
1963	0.964
1964	0.803
1965	0.855
1966	1.067
1967	0.854
1968	0.709
1969	0.833
1970	0.707
1971	0.885
1972	0.987
1973	0.897
1974	0.913
1975	1.264
1976	1.051
1977	0.917
1978	0.952
1979	1.146
1980	1.013
1981	0.927
1982	1.043
1983	0.946
1984	0.817
1985	0.692
1986	0.859
1987	0.822
1988	0.797
1989	0.883
1990	0.798
1991	0.858
1992	0.894
1993	0.806
1994	0.957
1995	0.741
1996	0.709
1997	0.811
1998	0.84
1999	0.82