ÃÂ¯ÃÂ»ÃÂ¿# europe_cypr017 - 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:
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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/5546
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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_cypr017 - 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_cypr017B
#	Earliest_Year: 1554
#	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":"4.71315813698","T2":"15.6493254612","M1":"0.0231569718626","M2":"0.463246545033"}}
#--------------------
# 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
1554	0.856
1555	0.836
1556	0.936
1557	0.855
1558	0.871
1559	1.004
1560	0.916
1561	0.931
1562	0.988
1563	0.943
1564	0.898
1565	0.996
1566	0.89
1567	0.659
1568	0.874
1569	0.858
1570	0.856
1571	0.808
1572	0.938
1573	1.14
1574	1.394
1575	1.074
1576	1.147
1577	1.111
1578	1.456
1579	1.118
1580	1.369
1581	1.216
1582	0.971
1583	1.264
1584	1.164
1585	0.946
1586	0.997
1587	1.103
1588	0.957
1589	1.254
1590	1.419
1591	0.967
1592	0.941
1593	0.92
1594	0.976
1595	0.789
1596	0.85
1597	0.911
1598	0.959
1599	1.099
1600	0.859
1601	0.893
1602	0.867
1603	0.996
1604	1.116
1605	1.147
1606	1.219
1607	0.929
1608	0.912
1609	0.842
1610	1.06
1611	0.999
1612	1.004
1613	0.695
1614	0.718
1615	0.776
1616	0.832
1617	0.916
1618	1.019
1619	1.181
1620	1.086
1621	1.147
1622	1.091
1623	0.818
1624	0.882
1625	0.999
1626	0.932
1627	0.889
1628	0.963
1629	0.998
1630	0.987
1631	1.121
1632	0.968
1633	0.893
1634	0.954
1635	1.012
1636	1.104
1637	0.781
1638	0.844
1639	0.672
1640	0.988
1641	1.104
1642	1.129
1643	1.202
1644	1.085
1645	1.023
1646	1.395
1647	1.215
1648	1.115
1649	1.32
1650	0.89
1651	0.868
1652	0.835
1653	0.781
1654	0.993
1655	1.095
1656	1.033
1657	0.922
1658	0.933
1659	0.962
1660	0.745
1661	1.031
1662	0.879
1663	1.107
1664	0.971
1665	1.417
1666	1.19
1667	1.24
1668	0.988
1669	1.133
1670	0.912
1671	0.978
1672	0.867
1673	0.98
1674	0.864
1675	0.808
1676	0.783
1677	0.862
1678	0.94
1679	0.846
1680	0.781
1681	1.09
1682	1.321
1683	1.385
1684	1.242
1685	0.946
1686	1.173
1687	1.208
1688	0.933
1689	1
1690	0.92
1691	1.217
1692	1.414
1693	1.045
1694	0.99
1695	1.086
1696	1.022
1697	1.126
1698	1.012
1699	0.954
1700	0.988
1701	0.824
1702	0.859
1703	0.885
1704	0.817
1705	0.896
1706	0.796
1707	0.913
1708	0.935
1709	1.17
1710	1.05
1711	0.635
1712	0.78
1713	0.833
1714	0.804
1715	0.629
1716	0.65
1717	0.783
1718	0.731
1719	0.733
1720	0.923
1721	1.129
1722	0.908
1723	0.946
1724	1.103
1725	0.74
1726	0.705
1727	0.852
1728	0.999
1729	0.9
1730	0.908
1731	1.005
1732	1.116
1733	1.12
1734	1.169
1735	1.141
1736	1.158
1737	1.009
1738	0.817
1739	0.912
1740	0.887
1741	0.996
1742	0.837
1743	0.891
1744	0.829
1745	0.841
1746	0.914
1747	0.938
1748	1.123
1749	0.997
1750	0.773
1751	1.061
1752	0.894
1753	1.074
1754	1.223
1755	1.292
1756	1.154
1757	1.147
1758	1.028
1759	0.986
1760	0.953
1761	0.767
1762	0.894
1763	1.004
1764	0.868
1765	0.934
1766	1.106
1767	0.98
1768	0.807
1769	0.903
1770	0.954
1771	1.021
1772	1.056
1773	1.168
1774	1.091
1775	0.94
1776	1.228
1777	1.301
1778	1.05
1779	0.835
1780	1.029
1781	0.712
1782	0.731
1783	0.779
1784	0.774
1785	0.759
1786	0.919
1787	0.763
1788	1.022
1789	0.933
1790	0.823
1791	1.163
1792	1.314
1793	1.18
1794	1.056
1795	1.029
1796	0.895
1797	0.962
1798	0.885
1799	1.038
1800	1.143
1801	1.077
1802	1.015
1803	0.945
1804	0.939
1805	1.045
1806	1.067
1807	1.037
1808	1.081
1809	1.121
1810	1.212
1811	1.436
1812	1.165
1813	1.209
1814	1.066
1815	1.005
1816	0.957
1817	1.044
1818	1.183
1819	1.014
1820	1.059
1821	0.992
1822	0.937
1823	0.911
1824	1.131
1825	1.03
1826	0.882
1827	1.288
1828	1.211
1829	1.294
1830	1.091
1831	1.019
1832	1.163
1833	1.201
1834	1.11
1835	1.213
1836	1.202
1837	1.407
1838	1.558
1839	1.506
1840	1.513
1841	1.662
1842	1.45
1843	1.3
1844	1.231
1845	1.058
1846	1.024
1847	1.069
1848	1.015
1849	0.946
1850	0.983
1851	0.832
1852	0.833
1853	1.089
1854	0.941
1855	0.923
1856	0.831
1857	0.889
1858	0.993
1859	0.929
1860	0.861
1861	0.851
1862	1.001
1863	0.968
1864	0.903
1865	0.996
1866	1.019
1867	1.148
1868	0.836
1869	0.95
1870	0.936
1871	0.919
1872	1.031
1873	1.042
1874	0.768
1875	0.794
1876	0.923
1877	0.902
1878	0.676
1879	0.896
1880	1.001
1881	1.099
1882	0.966
1883	1.293
1884	1.065
1885	0.978
1886	1.138
1887	0.994
1888	1.119
1889	1.202
1890	0.964
1891	1.013
1892	1.008
1893	0.651
1894	0.599
1895	0.887
1896	0.862
1897	1.129
1898	0.865
1899	0.823
1900	1.044
1901	1.067
1902	1.195
1903	1.113
1904	1.094
1905	1.051
1906	0.977
1907	0.935
1908	1.309
1909	0.918
1910	1.135
1911	1.173
1912	1.405
1913	1.328
1914	1.339
1915	1.317
1916	1.095
1917	0.952
1918	1.013
1919	1.235
1920	0.966
1921	1.338
1922	1.226
1923	1.052
1924	1.039
1925	0.849
1926	0.67
1927	0.755
1928	0.632
1929	0.442
1930	0.735
1931	0.665
1932	0.626
1933	0.84
1934	0.857
1935	0.843
1936	0.887
1937	0.844
1938	0.717
1939	0.735
1940	0.799
1941	0.723
1942	0.463
1943	0.604
1944	0.628
1945	0.753
1946	0.859
1947	0.775
1948	0.757
1949	0.37
1950	0.639
1951	0.716
1952	0.824
1953	0.765
1954	0.633
1955	0.598
1956	0.583
1957	0.52
1958	0.694
1959	0.641
1960	0.663
1961	0.523
1962	0.656
1963	0.591
1964	0.586
1965	0.771
1966	0.837
1967	0.818
1968	0.999
1969	1.049
1970	0.994
1971	1.138
1972	1.43
1973	1.188
1974	0.975
1975	1.417
1976	1.133
1977	1.142
1978	1.105
1979	1.126
1980	0.987
1981	0.879
1982	1.159
1983	1.239
1984	0.903
1985	0.903
1986	1.149
1987	0.986
1988	1.09
1989	1.083
1990	0.736
1991	0.839
1992	0.843
1993	0.765
1994	0.798
1995	0.796
1996	0.906
1997	1.125
1998	1.148
1999	1.174
2000	0.893
2001	1.045
2002	1.106