# europe_turk023 - Gazipasa Forest - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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.
#
#
# Online_Resource:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4234
#
# 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_turk023 - 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.
#--------------------
#	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.
#------------------
# 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
#------------------
# 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
#--------------------
# Data_Collection
#	Collection_Name: europe_turk023B
#	Earliest_Year: 1613
#	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":"3.43694898175","T2":"15.2486102254","M1":"0.0218206711743","M2":"0.162915084532"}}
#--------------------
# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
#--------------------
# Chronology:
#
#
#
#--------------------
# 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)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1613	0.829
1614	0.902
1615	0.831
1616	0.839
1617	1.029
1618	0.938
1619	0.787
1620	1.036
1621	0.936
1622	1.11
1623	1.063
1624	0.824
1625	1.086
1626	1.003
1627	1.048
1628	0.802
1629	0.76
1630	0.74
1631	0.915
1632	1.024
1633	0.915
1634	1.153
1635	0.929
1636	0.838
1637	0.885
1638	1.091
1639	1.032
1640	1.092
1641	1.089
1642	1.176
1643	1.139
1644	1.091
1645	1.034
1646	1.259
1647	1.228
1648	1.008
1649	1.08
1650	0.932
1651	0.88
1652	0.822
1653	0.776
1654	1.045
1655	1.298
1656	1.033
1657	0.883
1658	0.808
1659	0.783
1660	0.753
1661	0.721
1662	0.898
1663	0.968
1664	0.974
1665	1.21
1666	1.076
1667	1.25
1668	1.068
1669	0.845
1670	0.601
1671	0.47
1672	0.294
1673	0.502
1674	0.565
1675	0.797
1676	0.815
1677	0.801
1678	1.102
1679	1.01
1680	1.018
1681	1.555
1682	1.767
1683	0.979
1684	1.235
1685	0.905
1686	1.341
1687	1.44
1688	0.975
1689	1.125
1690	0.981
1691	1.057
1692	1.048
1693	0.767
1694	0.704
1695	0.9
1696	0.99
1697	1.026
1698	1.143
1699	0.975
1700	0.872
1701	0.869
1702	1.003
1703	1.085
1704	1.183
1705	1.124
1706	0.651
1707	0.38
1708	0.452
1709	0.975
1710	0.796
1711	0.912
1712	1.095
1713	1.135
1714	0.784
1715	0.571
1716	0.788
1717	1.298
1718	0.922
1719	1.092
1720	1.26
1721	1.348
1722	1.02
1723	0.914
1724	1.022
1725	0.655
1726	0.752
1727	1.107
1728	1.19
1729	1.122
1730	1.022
1731	0.963
1732	1.076
1733	1.242
1734	1.061
1735	1.209
1736	1.231
1737	1.349
1738	1.247
1739	1.41
1740	1.09
1741	0.939
1742	1.255
1743	1.082
1744	1.427
1745	0.993
1746	0.803
1747	0.96
1748	0.954
1749	0.861
1750	0.719
1751	0.875
1752	0.982
1753	1.117
1754	1.102
1755	1.302
1756	1.133
1757	1.161
1758	0.868
1759	0.836
1760	0.97
1761	1.039
1762	1.271
1763	1.189
1764	1.11
1765	1.432
1766	1.596
1767	1.453
1768	1.015
1769	0.961
1770	0.841
1771	0.81
1772	0.757
1773	1.003
1774	0.977
1775	1.033
1776	0.98
1777	1.075
1778	0.998
1779	0.693
1780	0.965
1781	0.854
1782	0.863
1783	0.933
1784	1.039
1785	0.769
1786	0.811
1787	0.81
1788	1.183
1789	0.888
1790	0.709
1791	1.204
1792	1.237
1793	1.146
1794	0.811
1795	1.064
1796	1.185
1797	0.935
1798	0.853
1799	0.992
1800	1.148
1801	0.982
1802	0.892
1803	0.852
1804	1.016
1805	0.781
1806	0.541
1807	0.682
1808	0.528
1809	0.901
1810	0.872
1811	0.945
1812	0.85
1813	0.831
1814	0.966
1815	1.021
1816	1.19
1817	1.236
1818	1.264
1819	1.075
1820	1.158
1821	1.34
1822	1.135
1823	0.923
1824	0.972
1825	0.951
1826	0.903
1827	1.028
1828	1.014
1829	0.959
1830	0.726
1831	0.926
1832	1.02
1833	1.077
1834	1.005
1835	1.156
1836	0.934
1837	0.893
1838	1.004
1839	1.051
1840	0.78
1841	1.103
1842	1.032
1843	0.959
1844	0.777
1845	0.968
1846	1.035
1847	0.928
1848	1.12
1849	1.005
1850	0.726
1851	0.604
1852	0.477
1853	1.055
1854	0.758
1855	1.036
1856	0.916
1857	0.846
1858	0.846
1859	0.818
1860	0.84
1861	0.903
1862	1.011
1863	0.975
1864	0.971
1865	1.039
1866	1.005
1867	0.948
1868	0.718
1869	0.749
1870	0.788
1871	0.878
1872	0.914
1873	0.987
1874	0.817
1875	0.684
1876	0.816
1877	0.84
1878	0.609
1879	0.692
1880	0.672
1881	0.783
1882	0.882
1883	0.876
1884	0.809
1885	0.967
1886	0.958
1887	0.6
1888	0.823
1889	0.947
1890	0.817
1891	0.798
1892	0.993
1893	0.693
1894	0.688
1895	0.854
1896	0.692
1897	1.117
1898	0.892
1899	0.505
1900	0.685
1901	0.777
1902	0.749
1903	0.716
1904	0.914
1905	0.771
1906	0.636
1907	0.648
1908	0.785
1909	0.633
1910	0.543
1911	0.649
1912	0.668
1913	0.639
1914	0.776
1915	1.066
1916	0.771
1917	0.719
1918	0.596
1919	0.839
1920	0.939
1921	0.983
1922	0.849
1923	0.633
1924	0.709
1925	0.692
1926	0.562
1927	0.533
1928	0.724
1929	0.803
1930	1.293
1931	0.98
1932	0.885
1933	0.894
1934	0.965
1935	0.891
1936	0.982
1937	1.071
1938	0.837
1939	0.989
1940	1.493
1941	1.061
1942	0.735
1943	0.9
1944	0.938
1945	0.795
1946	1.049
1947	1.184
1948	1.038
1949	0.816
1950	1.006
1951	1.065
1952	1.024
1953	1.126
1954	1.214
1955	1.293
1956	0.996
1957	1.257
1958	1.491
1959	1.336
1960	1.609
1961	1.193
1962	1.269
1963	1.11
1964	1.063
1965	1.108
1966	1.14
1967	1.232
1968	1.065
1969	1.201
1970	1.096
1971	1.061
1972	1.63
1973	1.544
1974	1.531
1975	1.618
1976	1.505
1977	1.783
1978	1.478
1979	1.179
1980	1.132
1981	1.189
1982	1.231
1983	0.942
1984	1.247
1985	0.994
1986	1.044
1987	1.137
1988	1.255
1989	1.186
1990	1.003
1991	1.038
1992	1.172
1993	1.283
1994	1.077
1995	0.829
1996	0.877
1997	1.115
1998	1.356
1999	1.098
2000	0.807