# europe_turk026 - Gazipasa 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/4201
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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_turk026 - Gazipasa 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:
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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: Gazipasa Forest
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 36.45
#	Southernmost_Latitude: 36.45
#	Easternmost_Longitude: 32.52
#	Westernmost_Longitude: 32.52
#	Elevation: 1580 m
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# Data_Collection
#	Collection_Name: europe_turk026B
#	Earliest_Year: 1795
#	Most_Recent_Year: 1983
#	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":"3.76800629132","T2":"13.3199957187","M1":"0.0222093721782","M2":"0.229517465392"}}
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# Species
#	Species_Name: juniper
#	Species_Code: JUSP
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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
1795	0.934
1796	0.806
1797	0.827
1798	1.269
1799	0.867
1800	1.18
1801	1.228
1802	1.078
1803	1.145
1804	1.219
1805	1.373
1806	1.241
1807	1.405
1808	1.125
1809	1.347
1810	1.543
1811	0.98
1812	1.16
1813	0.858
1814	1.112
1815	0.838
1816	1.118
1817	0.826
1818	1.249
1819	0.875
1820	0.829
1821	1.046
1822	0.722
1823	0.925
1824	1.081
1825	0.876
1826	1.153
1827	1.285
1828	1.121
1829	1.043
1830	1.034
1831	1.014
1832	1.317
1833	1.05
1834	1.099
1835	1.192
1836	1.054
1837	1.006
1838	0.846
1839	0.925
1840	0.873
1841	1.074
1842	1.226
1843	1.032
1844	0.838
1845	0.901
1846	1.196
1847	1.086
1848	1.05
1849	1.024
1850	0.881
1851	0.865
1852	0.921
1853	0.905
1854	0.77
1855	1.089
1856	0.911
1857	0.992
1858	0.748
1859	0.806
1860	0.828
1861	0.982
1862	0.765
1863	0.697
1864	0.924
1865	1.024
1866	1.114
1867	0.726
1868	0.526
1869	0.612
1870	0.724
1871	0.853
1872	0.967
1873	1.008
1874	0.966
1875	0.871
1876	0.997
1877	1.323
1878	0.987
1879	1.074
1880	0.793
1881	1.277
1882	1.157
1883	1.087
1884	0.918
1885	0.843
1886	0.889
1887	0.764
1888	1.135
1889	1.023
1890	0.927
1891	0.936
1892	0.972
1893	0.813
1894	0.833
1895	1.004
1896	0.864
1897	1.146
1898	1.071
1899	1.322
1900	1.097
1901	1.243
1902	0.985
1903	1.118
1904	0.938
1905	0.862
1906	0.955
1907	0.801
1908	0.724
1909	0.657
1910	0.656
1911	0.669
1912	0.903
1913	1.108
1914	1.181
1915	0.923
1916	1.031
1917	1.11
1918	1.004
1919	1.18
1920	1.122
1921	0.872
1922	1.112
1923	0.895
1924	1.09
1925	1.039
1926	0.842
1927	0.621
1928	0.574
1929	0.754
1930	1.179
1931	1.266
1932	1.013
1933	0.993
1934	1.09
1935	0.655
1936	1.169
1937	1.135
1938	0.781
1939	0.879
1940	1.149
1941	1.121
1942	0.827
1943	0.914
1944	0.9
1945	0.487
1946	0.496
1947	0.999
1948	0.49
1949	0.665
1950	1.061
1951	1.146
1952	0.943
1953	0.656
1954	0.639
1955	0.635
1956	0.656
1957	0.874
1958	0.945
1959	1.062
1960	1.4
1961	1.235
1962	1.216
1963	1.355
1964	1.255
1965	1.179
1966	1.295
1967	1.166
1968	0.954
1969	0.822
1970	1.278
1971	0.912
1972	1.303
1973	1.315
1974	1.374
1975	1.539
1976	1.302
1977	1.482
1978	1.006
1979	1.278
1980	0.892
1981	0.96
1982	1.198
1983	1.041