ÃÂ¯ÃÂ»ÃÂ¿# europe_turk005 - Antalya  Elmali Isletmesi - 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/3797
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_turk005 - Antalya  Elmali Isletmesi - 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: Antalya  Elmali Isletmesi
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 36.67
#	Southernmost_Latitude: 36.67
#	Easternmost_Longitude: 29.92
#	Westernmost_Longitude: 29.92
#	Elevation: 1800 m
#--------------------
# Data_Collection
#	Collection_Name: europe_turk005B
#	Earliest_Year: 1370
#	Most_Recent_Year: 1988
#	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":"4.28473398595","T2":"16.608306082","M1":"0.0228850399635","M2":"0.384294577208"}}
#--------------------
# Species
#	Species_Name: cedar of Lebanone
#	Species_Code: CDLI
#--------------------
# Chronology:
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#
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#--------------------
# 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
1370	0.649
1371	1.151
1372	0.862
1373	1.152
1374	1.463
1375	0.493
1376	0.529
1377	0.627
1378	0.621
1379	0.349
1380	0.248
1381	0.17
1382	0.16
1383	0.194
1384	0.292
1385	0.539
1386	0.337
1387	0.595
1388	1.062
1389	1.172
1390	1.449
1391	1.324
1392	1.081
1393	1.684
1394	1.186
1395	0.537
1396	0.321
1397	0.594
1398	0.376
1399	0.344
1400	0.268
1401	0.459
1402	0.633
1403	0.762
1404	0.915
1405	0.736
1406	0.416
1407	0.405
1408	0.401
1409	0.336
1410	0.284
1411	0.463
1412	0.621
1413	0.492
1414	0.416
1415	0.307
1416	0.596
1417	0.801
1418	0.83
1419	0.868
1420	0.514
1421	0.804
1422	0.955
1423	0.887
1424	0.478
1425	0.469
1426	0.321
1427	0.574
1428	0.735
1429	0.585
1430	0.538
1431	0.987
1432	0.966
1433	0.872
1434	0.977
1435	0.759
1436	0.579
1437	0.417
1438	0.628
1439	0.543
1440	0.754
1441	0.774
1442	0.928
1443	0.949
1444	0.907
1445	0.671
1446	1.126
1447	0.759
1448	0.915
1449	0.441
1450	0.869
1451	0.889
1452	0.949
1453	0.462
1454	0.277
1455	0.239
1456	0.19
1457	0.307
1458	0.396
1459	0.878
1460	1.184
1461	1.165
1462	1.275
1463	1
1464	1.278
1465	1.2
1466	1.273
1467	1.491
1468	1.274
1469	1.196
1470	1.636
1471	1.838
1472	1.66
1473	1.732
1474	1.644
1475	1.636
1476	1.561
1477	1.696
1478	1.447
1479	1.423
1480	1.343
1481	1.304
1482	1.847
1483	1.063
1484	1.682
1485	1.241
1486	1.511
1487	1.196
1488	0.956
1489	1.028
1490	0.983
1491	1.146
1492	0.224
1493	0.737
1494	1.573
1495	1.445
1496	1.515
1497	1.557
1498	2.372
1499	1.787
1500	1.777
1501	1.559
1502	1.231
1503	1.6
1504	1.581
1505	1.5
1506	1.423
1507	1.745
1508	1.091
1509	1.185
1510	1.105
1511	1.101
1512	1.249
1513	1.273
1514	1.551
1515	1.442
1516	1.495
1517	1.179
1518	1.02
1519	1.505
1520	1.362
1521	1.55
1522	1.309
1523	1.482
1524	1.337
1525	1.626
1526	1.351
1527	1.052
1528	0.997
1529	1.161
1530	1.052
1531	1.197
1532	1.444
1533	1.49
1534	1.201
1535	1.399
1536	1.324
1537	0.923
1538	1.008
1539	1.298
1540	0.867
1541	0.959
1542	0.746
1543	0.867
1544	1.02
1545	1.223
1546	0.978
1547	1.171
1548	0.927
1549	0.944
1550	1.1
1551	1.382
1552	1.001
1553	1.362
1554	1.146
1555	1.128
1556	1.14
1557	0.796
1558	0.993
1559	1.381
1560	1.362
1561	1.106
1562	0.862
1563	0.999
1564	1.193
1565	1.398
1566	1.039
1567	0.876
1568	0.855
1569	0.98
1570	0.849
1571	0.921
1572	0.953
1573	0.77
1574	1.314
1575	1.068
1576	0.974
1577	1.145
1578	1.143
1579	0.888
1580	0.667
1581	0.868
1582	0.878
1583	0.868
1584	1.095
1585	1.109
1586	0.966
1587	0.968
1588	1.044
1589	1.378
1590	1.309
1591	0.841
1592	1.05
1593	1.223
1594	1.12
1595	0.991
1596	0.464
1597	0.96
1598	0.95
1599	1.25
1600	1.017
1601	1.129
1602	1.227
1603	1.153
1604	0.97
1605	0.963
1606	1.279
1607	0.727
1608	0.956
1609	0.895
1610	0.943
1611	0.957
1612	0.74
1613	0.808
1614	0.618
1615	0.952
1616	1.075
1617	0.711
1618	0.927
1619	1.097
1620	1.171
1621	1.177
1622	1.246
1623	1.263
1624	0.991
1625	0.829
1626	1.032
1627	0.804
1628	0.802
1629	1.12
1630	1.057
1631	0.578
1632	1.088
1633	1.041
1634	1.329
1635	1.016
1636	1.16
1637	1.017
1638	1.074
1639	0.965
1640	1.024
1641	1.151
1642	1.158
1643	1.212
1644	1.014
1645	1.09
1646	1.24
1647	0.838
1648	1.105
1649	0.932
1650	0.975
1651	1.048
1652	0.633
1653	0.987
1654	0.875
1655	0.998
1656	0.942
1657	1.072
1658	0.97
1659	1.109
1660	0.691
1661	1.121
1662	1.051
1663	1.156
1664	1.166
1665	1.449
1666	1.217
1667	1.038
1668	0.94
1669	0.868
1670	0.627
1671	0.605
1672	0.51
1673	0.543
1674	0.408
1675	0.348
1676	0.392
1677	0.536
1678	0.732
1679	0.563
1680	0.631
1681	0.903
1682	0.86
1683	0.854
1684	0.874
1685	0.915
1686	1.027
1687	0.873
1688	0.88
1689	1.077
1690	0.944
1691	0.998
1692	1.117
1693	0.866
1694	0.976
1695	1.035
1696	0.451
1697	0.78
1698	0.827
1699	0.766
1700	0.687
1701	0.613
1702	0.697
1703	0.935
1704	1.047
1705	0.691
1706	1.035
1707	0.961
1708	1.049
1709	1.403
1710	1.022
1711	0.855
1712	0.686
1713	0.456
1714	0.335
1715	0.422
1716	0.493
1717	0.565
1718	0.623
1719	0.813
1720	0.964
1721	0.863
1722	0.714
1723	0.776
1724	0.589
1725	0.528
1726	0.542
1727	0.816
1728	1.048
1729	0.936
1730	0.955
1731	1.135
1732	0.996
1733	1.161
1734	1.217
1735	1.066
1736	0.968
1737	1.363
1738	0.883
1739	1.076
1740	1.325
1741	1.16
1742	0.86
1743	1.089
1744	1.134
1745	1.106
1746	0.247
1747	0.803
1748	1.162
1749	1.107
1750	1.204
1751	1.298
1752	1.215
1753	1.386
1754	1.442
1755	1.658
1756	1.104
1757	1.038
1758	1.26
1759	0.915
1760	1.133
1761	1.258
1762	1.3
1763	1.026
1764	0.88
1765	1.013
1766	1.067
1767	1.188
1768	1.021
1769	1.141
1770	1.128
1771	1.28
1772	0.787
1773	0.906
1774	1.128
1775	0.828
1776	1.25
1777	0.899
1778	1.296
1779	1.076
1780	1.061
1781	0.857
1782	1.033
1783	1.083
1784	1.105
1785	1.219
1786	0.44
1787	1.095
1788	1.191
1789	1.255
1790	0.836
1791	1.119
1792	1.201
1793	1.342
1794	1.087
1795	1.675
1796	0.835
1797	0.93
1798	1.161
1799	1.126
1800	0.92
1801	0.864
1802	0.576
1803	0.48
1804	0.563
1805	0.7
1806	0.769
1807	0.932
1808	0.911
1809	1.157
1810	1.063
1811	1.231
1812	0.954
1813	1.041
1814	1.189
1815	1.161
1816	1.33
1817	1.198
1818	1.12
1819	0.907
1820	0.57
1821	1.108
1822	1.147
1823	0.894
1824	0.915
1825	1.026
1826	0.768
1827	1.256
1828	1.076
1829	0.965
1830	0.964
1831	1.141
1832	1.078
1833	1.306
1834	0.977
1835	1.152
1836	1.095
1837	1.006
1838	1.204
1839	1.184
1840	0.858
1841	1.298
1842	0.952
1843	0.718
1844	0.804
1845	0.812
1846	1.131
1847	0.517
1848	1.043
1849	0.6
1850	0.793
1851	0.368
1852	0.525
1853	0.607
1854	0.624
1855	1.055
1856	0.555
1857	0.766
1858	0.725
1859	0.865
1860	0.805
1861	1.144
1862	0.811
1863	0.935
1864	0.793
1865	0.734
1866	1.091
1867	0.814
1868	0.807
1869	0.706
1870	0.84
1871	0.671
1872	0.914
1873	0.629
1874	0.616
1875	0.699
1876	0.502
1877	0.608
1878	0.952
1879	0.7
1880	1.02
1881	0.739
1882	0.756
1883	0.839
1884	1.05
1885	0.999
1886	0.783
1887	0.527
1888	0.915
1889	1.018
1890	0.566
1891	0.778
1892	0.864
1893	0.641
1894	0.729
1895	0.759
1896	1.008
1897	1.14
1898	0.604
1899	0.701
1900	0.954
1901	1.284
1902	1.215
1903	1.09
1904	1.161
1905	1.042
1906	1.332
1907	1.143
1908	0.996
1909	1.042
1910	1.216
1911	0.915
1912	0.462
1913	0.953
1914	1.35
1915	1.34
1916	0.657
1917	1.066
1918	0.884
1919	0.91
1920	1.349
1921	1.219
1922	1.063
1923	1.062
1924	1.062
1925	1.218
1926	0.874
1927	0.967
1928	0.829
1929	0.725
1930	1.204
1931	1.403
1932	0.604
1933	0.677
1934	0.797
1935	0.601
1936	0.903
1937	0.921
1938	0.817
1939	1.047
1940	1.369
1941	1.123
1942	1.088
1943	0.873
1944	0.666
1945	0.802
1946	1.071
1947	0.962
1948	1.042
1949	0.799
1950	1.407
1951	1.124
1952	1.1
1953	1.156
1954	1.336
1955	1.156
1956	1.126
1957	1.09
1958	1.229
1959	1.164
1960	1.592
1961	0.964
1962	1.155
1963	1.152
1964	1.027
1965	0.665
1966	0.71
1967	0.656
1968	0.946
1969	1.103
1970	0.886
1971	1.11
1972	1.38
1973	0.855
1974	0.998
1975	0.928
1976	1.089
1977	1.196
1978	1.162
1979	1.435
1980	0.967
1981	0.824
1982	1.107
1983	0.872
1984	0.814
1985	0.861
1986	1.022
1987	1.191
1988	0.957