# europe_cypr016 - Armiantos - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5545
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_cypr016 - Armiantos - 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: Armiantos
#	Location:
#	Country: Cyprus
#	Northernmost_Latitude: 34.92
#	Southernmost_Latitude: 34.92
#	Easternmost_Longitude: 32.9
#	Westernmost_Longitude: 32.9
#	Elevation: 1550 m
#--------------------
# Data_Collection
#	Collection_Name: europe_cypr016B
#	Earliest_Year: 1711
#	Most_Recent_Year: 2002
#	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":"7.37020539015","T2":"14.4475711492","M1":"0.0214628493231","M2":"0.366285480417"}}
#--------------------
# Species
#	Species_Name: Calabrian pine
#	Species_Code: PIBR
#--------------------
# 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
1711	0.788
1712	0.727
1713	0.603
1714	0.738
1715	0.583
1716	0.748
1717	0.742
1718	0.782
1719	0.786
1720	0.938
1721	1.205
1722	1.233
1723	0.889
1724	0.968
1725	0.774
1726	0.544
1727	0.936
1728	0.985
1729	1.108
1730	0.921
1731	0.924
1732	0.876
1733	1.034
1734	1.018
1735	1.057
1736	1.159
1737	0.859
1738	0.724
1739	0.763
1740	0.823
1741	0.917
1742	0.897
1743	0.691
1744	0.657
1745	0.618
1746	0.798
1747	0.938
1748	1.072
1749	0.906
1750	0.769
1751	1.014
1752	1.038
1753	1.039
1754	1.233
1755	1.282
1756	1.155
1757	0.993
1758	1.034
1759	0.832
1760	0.833
1761	0.778
1762	1.069
1763	1.051
1764	1.177
1765	1.09
1766	1.104
1767	1.029
1768	0.934
1769	1.022
1770	0.943
1771	1.14
1772	1.186
1773	1.406
1774	1.205
1775	0.972
1776	1.046
1777	1.336
1778	0.828
1779	0.712
1780	0.982
1781	0.86
1782	0.893
1783	1.044
1784	0.831
1785	0.781
1786	1.138
1787	0.823
1788	1.159
1789	1.251
1790	0.965
1791	1.189
1792	1.482
1793	1.056
1794	1.096
1795	1.177
1796	1.043
1797	1.093
1798	0.939
1799	1.014
1800	1.162
1801	1.193
1802	1.096
1803	0.913
1804	1.05
1805	1.276
1806	1.472
1807	1.034
1808	1.112
1809	1.041
1810	1.077
1811	1.374
1812	1.104
1813	1.04
1814	1.171
1815	0.953
1816	0.973
1817	1.03
1818	1.158
1819	0.961
1820	1.022
1821	1.018
1822	0.767
1823	0.904
1824	1.061
1825	0.937
1826	0.745
1827	1.29
1828	1.423
1829	1.521
1830	1.194
1831	1.142
1832	1.111
1833	0.787
1834	0.794
1835	1.089
1836	1.062
1837	1.296
1838	1.43
1839	1.159
1840	0.962
1841	1.191
1842	1.18
1843	1.021
1844	0.829
1845	0.917
1846	1.026
1847	1.1
1848	1.084
1849	0.883
1850	0.693
1851	0.731
1852	0.698
1853	0.964
1854	0.75
1855	0.753
1856	0.799
1857	0.931
1858	0.915
1859	0.909
1860	0.761
1861	0.831
1862	0.793
1863	0.684
1864	0.703
1865	0.793
1866	0.78
1867	0.936
1868	0.55
1869	0.713
1870	0.769
1871	1.026
1872	1.037
1873	1.018
1874	0.509
1875	0.589
1876	0.712
1877	0.883
1878	0.624
1879	0.65
1880	0.773
1881	0.85
1882	0.757
1883	0.851
1884	0.7
1885	0.736
1886	0.892
1887	0.804
1888	1.002
1889	1.09
1890	0.981
1891	0.835
1892	0.954
1893	0.743
1894	0.481
1895	0.703
1896	0.641
1897	0.95
1898	0.658
1899	0.52
1900	0.842
1901	0.866
1902	0.995
1903	0.816
1904	0.861
1905	0.617
1906	0.491
1907	0.444
1908	0.737
1909	0.488
1910	0.769
1911	0.618
1912	1.007
1913	0.971
1914	1.304
1915	1.592
1916	1.502
1917	1.011
1918	1.255
1919	1.759
1920	0.859
1921	1.195
1922	1.421
1923	1.182
1924	0.971
1925	1.144
1926	1.26
1927	0.938
1928	0.789
1929	0.557
1930	0.942
1931	1.174
1932	1.071
1933	1.391
1934	1.112
1935	1.14
1936	1.524
1937	1.019
1938	1.1
1939	1.104
1940	1.027
1941	0.997
1942	0.347
1943	0.769
1944	0.953
1945	0.776
1946	0.594
1947	0.667
1948	0.695
1949	0.505
1950	0.854
1951	1.258
1952	1.139
1953	0.907
1954	0.88
1955	1.175
1956	1.025
1957	0.757
1958	1.263
1959	1.169
1960	1.205
1961	0.802
1962	0.879
1963	0.89
1964	1.125
1965	1.093
1966	1.146
1967	0.973
1968	0.948
1969	1.354
1970	1.286
1971	1.138
1972	1.667
1973	1.467
1974	1.215
1975	1.36
1976	1.396
1977	1.574
1978	1.369
1979	1.593
1980	1.344
1981	1.122
1982	1.25
1983	1.027
1984	1.085
1985	0.852
1986	1.228
1987	1.203
1988	1.132
1989	0.934
1990	0.939
1991	0.85
1992	0.403
1993	0.521
1994	0.898
1995	1.001
1996	0.879
1997	0.93
1998	1.172
1999	1.26
2000	0.966
2001	1.319
2002	1.019