ÃÂ¯ÃÂ»ÃÂ¿# europe_cypr018 - Chionistra - 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/5552
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_cypr018 - Chionistra - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Chionistra
#	Location:
#	Country: Cyprus
#	Northernmost_Latitude: 34.93
#	Southernmost_Latitude: 34.93
#	Easternmost_Longitude: 32.87
#	Westernmost_Longitude: 32.87
#	Elevation: 1770 m
#--------------------
# Data_Collection
#	Collection_Name: europe_cypr018B
#	Earliest_Year: 1379
#	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":"5.47454121031","T2":"16.7525272778","M1":"0.0225276282282","M2":"0.36140677679"}}
#--------------------
# 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
1379	0.79
1380	0.77
1381	0.918
1382	1.029
1383	0.919
1384	1.134
1385	0.975
1386	0.961
1387	0.973
1388	1.146
1389	0.946
1390	1.359
1391	1.197
1392	0.945
1393	0.998
1394	1.111
1395	0.821
1396	0.817
1397	0.914
1398	0.954
1399	1.074
1400	1.099
1401	1.21
1402	1.522
1403	1.085
1404	1.198
1405	1.202
1406	0.943
1407	1.07
1408	0.849
1409	0.996
1410	1.04
1411	1.055
1412	0.985
1413	0.967
1414	1.015
1415	0.917
1416	0.882
1417	0.896
1418	0.889
1419	0.766
1420	1.011
1421	0.853
1422	0.744
1423	0.76
1424	0.744
1425	0.789
1426	0.793
1427	0.817
1428	0.866
1429	1.21
1430	1.083
1431	1.264
1432	0.968
1433	1.071
1434	0.969
1435	0.932
1436	0.64
1437	0.881
1438	0.792
1439	0.646
1440	0.639
1441	1.041
1442	1.512
1443	1.751
1444	1.117
1445	0.789
1446	0.881
1447	0.733
1448	0.832
1449	0.722
1450	0.971
1451	0.782
1452	0.768
1453	0.767
1454	0.823
1455	1.118
1456	0.974
1457	0.948
1458	1.04
1459	1.367
1460	0.977
1461	0.945
1462	0.88
1463	0.668
1464	0.835
1465	0.844
1466	0.799
1467	0.954
1468	0.65
1469	0.672
1470	0.67
1471	0.976
1472	0.983
1473	1.201
1474	0.993
1475	1.453
1476	1.332
1477	1.101
1478	0.942
1479	0.765
1480	0.802
1481	1.142
1482	0.821
1483	1.019
1484	0.914
1485	0.762
1486	0.958
1487	0.87
1488	1.415
1489	0.869
1490	0.966
1491	0.768
1492	0.683
1493	1.007
1494	0.691
1495	0.804
1496	1.027
1497	0.982
1498	0.993
1499	1.04
1500	1.02
1501	0.984
1502	1.058
1503	1.001
1504	0.89
1505	0.736
1506	0.942
1507	1.14
1508	1.115
1509	0.847
1510	1.046
1511	1.092
1512	0.914
1513	1.14
1514	1.338
1515	0.919
1516	0.913
1517	0.804
1518	0.887
1519	1.548
1520	1.05
1521	1.699
1522	1.436
1523	1.408
1524	1.302
1525	0.855
1526	0.846
1527	0.968
1528	0.835
1529	0.849
1530	0.824
1531	0.597
1532	0.837
1533	0.972
1534	1.228
1535	1.5
1536	1.425
1537	1.072
1538	1.176
1539	1.869
1540	1.032
1541	1.133
1542	0.721
1543	1.046
1544	0.847
1545	1.204
1546	0.883
1547	1.01
1548	0.755
1549	0.602
1550	0.82
1551	0.836
1552	0.832
1553	0.993
1554	0.974
1555	1.116
1556	0.977
1557	0.926
1558	0.913
1559	0.94
1560	0.736
1561	0.655
1562	0.799
1563	0.588
1564	0.797
1565	1.254
1566	1.409
1567	0.775
1568	0.853
1569	0.789
1570	0.513
1571	0.423
1572	0.559
1573	0.637
1574	1.129
1575	1.064
1576	1.744
1577	1.193
1578	0.972
1579	0.811
1580	0.75
1581	0.759
1582	0.795
1583	0.738
1584	0.689
1585	0.853
1586	1.195
1587	1.186
1588	0.789
1589	0.836
1590	0.76
1591	0.438
1592	0.715
1593	0.799
1594	0.716
1595	0.727
1596	0.858
1597	0.92
1598	0.952
1599	0.921
1600	0.766
1601	0.935
1602	0.915
1603	0.988
1604	1.434
1605	1.465
1606	1.403
1607	0.95
1608	0.872
1609	0.705
1610	1.264
1611	0.861
1612	0.662
1613	0.461
1614	0.552
1615	0.558
1616	0.56
1617	0.741
1618	0.794
1619	0.965
1620	0.921
1621	1.742
1622	1.469
1623	1.147
1624	0.995
1625	1.16
1626	1.162
1627	1.093
1628	0.876
1629	1.114
1630	1.071
1631	1.578
1632	1.347
1633	0.872
1634	1.319
1635	1.055
1636	1.03
1637	0.957
1638	1.108
1639	0.794
1640	1.151
1641	0.978
1642	1.285
1643	1.386
1644	1.045
1645	0.918
1646	1.225
1647	1.06
1648	1.168
1649	1.292
1650	0.932
1651	0.889
1652	0.898
1653	0.926
1654	1.051
1655	1.094
1656	1.009
1657	0.921
1658	0.96
1659	1.1
1660	1.109
1661	1.151
1662	0.932
1663	1.112
1664	1.015
1665	1.422
1666	1.419
1667	1.343
1668	1.133
1669	1.295
1670	0.701
1671	0.732
1672	0.757
1673	1.015
1674	0.765
1675	0.763
1676	0.736
1677	0.969
1678	1.245
1679	0.854
1680	0.818
1681	1.32
1682	1.736
1683	1.356
1684	1.272
1685	1.069
1686	1.168
1687	1.1
1688	0.74
1689	0.913
1690	0.884
1691	1.137
1692	1.33
1693	0.904
1694	0.857
1695	0.92
1696	0.924
1697	1.182
1698	0.998
1699	0.885
1700	0.985
1701	1.001
1702	0.909
1703	0.858
1704	0.865
1705	1.05
1706	0.768
1707	0.888
1708	0.965
1709	1.328
1710	1.416
1711	0.898
1712	0.982
1713	0.944
1714	0.947
1715	0.651
1716	0.614
1717	0.961
1718	0.773
1719	0.92
1720	1.162
1721	1.602
1722	0.936
1723	0.812
1724	1.262
1725	0.663
1726	0.662
1727	0.816
1728	0.927
1729	0.83
1730	0.758
1731	0.79
1732	1.045
1733	1.145
1734	1.235
1735	1.34
1736	1.454
1737	1.143
1738	0.896
1739	1.092
1740	0.984
1741	0.701
1742	0.842
1743	1.124
1744	1.059
1745	1.001
1746	0.889
1747	0.902
1748	1.147
1749	0.75
1750	0.556
1751	0.83
1752	0.753
1753	1.079
1754	1.026
1755	1.443
1756	1.185
1757	1.217
1758	1.164
1759	1.054
1760	0.958
1761	0.743
1762	1.024
1763	0.966
1764	0.789
1765	0.776
1766	0.933
1767	0.944
1768	0.773
1769	0.866
1770	0.711
1771	0.822
1772	0.874
1773	1.128
1774	1.032
1775	1.149
1776	1.199
1777	1.265
1778	0.951
1779	0.752
1780	1.048
1781	0.717
1782	0.731
1783	0.881
1784	1.081
1785	0.762
1786	1.027
1787	0.797
1788	1.446
1789	1.168
1790	0.984
1791	1.354
1792	1.361
1793	1.039
1794	1.034
1795	1.241
1796	0.959
1797	0.835
1798	0.911
1799	1.088
1800	1.093
1801	1.218
1802	0.899
1803	0.974
1804	1.017
1805	1.016
1806	0.869
1807	0.996
1808	0.955
1809	1.315
1810	1.31
1811	1.468
1812	1.074
1813	1.106
1814	1.226
1815	1.152
1816	0.996
1817	1.08
1818	1.313
1819	1.087
1820	1.146
1821	1.514
1822	1.149
1823	1.055
1824	1.097
1825	1.013
1826	0.84
1827	1.211
1828	1.205
1829	1.3
1830	1.021
1831	0.863
1832	1.147
1833	1.183
1834	0.88
1835	1.062
1836	1.058
1837	1.168
1838	1.021
1839	1.109
1840	0.87
1841	1.121
1842	0.914
1843	0.776
1844	0.818
1845	0.829
1846	0.884
1847	0.713
1848	0.802
1849	0.865
1850	0.898
1851	0.743
1852	0.595
1853	0.727
1854	0.74
1855	0.803
1856	0.791
1857	0.759
1858	0.898
1859	0.913
1860	0.974
1861	0.704
1862	0.824
1863	0.776
1864	0.773
1865	0.909
1866	1.019
1867	1.026
1868	0.769
1869	0.911
1870	0.763
1871	0.772
1872	0.858
1873	1.046
1874	0.652
1875	0.917
1876	0.958
1877	0.83
1878	0.667
1879	0.606
1880	0.856
1881	0.817
1882	0.907
1883	1.028
1884	0.952
1885	1.058
1886	1.091
1887	0.886
1888	1.064
1889	1.228
1890	1.003
1891	1.226
1892	1.178
1893	0.67
1894	0.44
1895	0.844
1896	0.915
1897	1.045
1898	0.812
1899	0.744
1900	1.063
1901	1.106
1902	0.87
1903	0.914
1904	0.886
1905	0.881
1906	1.089
1907	0.992
1908	1.232
1909	0.653
1910	1.152
1911	1.264
1912	1.303
1913	0.978
1914	1.029
1915	0.903
1916	0.587
1917	0.615
1918	0.726
1919	0.91
1920	0.927
1921	1.4
1922	1.275
1923	0.797
1924	0.852
1925	0.67
1926	0.621
1927	0.69
1928	0.576
1929	0.71
1930	0.932
1931	0.863
1932	0.729
1933	0.757
1934	1.031
1935	0.908
1936	1.144
1937	1.075
1938	0.841
1939	1.151
1940	0.882
1941	0.642
1942	0.451
1943	0.636
1944	0.777
1945	0.694
1946	0.769
1947	0.992
1948	0.72
1949	0.46
1950	1.09
1951	1.202
1952	1.001
1953	1.009
1954	0.945
1955	0.977
1956	0.771
1957	0.809
1958	1.022
1959	1.084
1960	1.131
1961	0.745
1962	0.876
1963	0.846
1964	0.926
1965	0.858
1966	0.933
1967	1.04
1968	1.402
1969	1.199
1970	1.481
1971	1.308
1972	1.781
1973	1.284
1974	0.852
1975	1.455
1976	1.437
1977	1.484
1978	0.983
1979	1.517
1980	0.977
1981	0.827
1982	1.314
1983	1.301
1984	1.042
1985	0.98
1986	1.336
1987	1.102
1988	1.044
1989	1.193
1990	0.804
1991	0.85
1992	1.21
1993	1.019
1994	0.836
1995	0.816
1996	0.993
1997	1.18
1998	1.343
1999	1.391
2000	1.038
2001	1.151
2002	1.286