ÃÂ¯ÃÂ»ÃÂ¿# europe_turk006 - 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/3798
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_turk006 - 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_turk006B
#	Earliest_Year: 1360
#	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":"3.85867243351","T2":"15.4065742196","M1":"0.022484216786","M2":"0.523357293746"}}
#--------------------
# Species
#	Species_Name: juniper
#	Species_Code: JUSP
#--------------------
# 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
1360	0.679
1361	1.033
1362	0.789
1363	1.155
1364	1.023
1365	1.06
1366	0.833
1367	0.954
1368	1.003
1369	1.284
1370	0.947
1371	0.973
1372	0.872
1373	0.858
1374	1.035
1375	1.023
1376	1.081
1377	0.615
1378	0.449
1379	0.486
1380	0.977
1381	0.902
1382	0.714
1383	0.984
1384	1.054
1385	0.749
1386	0.634
1387	1.115
1388	1.132
1389	0.839
1390	1.411
1391	1.073
1392	0.873
1393	1.294
1394	0.842
1395	0.802
1396	0.866
1397	0.762
1398	0.692
1399	0.681
1400	0.587
1401	0.67
1402	0.718
1403	0.671
1404	0.67
1405	1.005
1406	0.765
1407	0.876
1408	1.019
1409	1.024
1410	1.049
1411	1.154
1412	1.03
1413	1.143
1414	0.938
1415	1.093
1416	1.106
1417	0.979
1418	1.049
1419	1.076
1420	1.054
1421	1.014
1422	1.098
1423	1.216
1424	1.22
1425	1.312
1426	1.02
1427	0.832
1428	0.9
1429	0.941
1430	0.838
1431	0.803
1432	0.762
1433	0.918
1434	0.925
1435	1.036
1436	0.769
1437	1.185
1438	1.037
1439	0.896
1440	0.617
1441	0.955
1442	1.061
1443	1.058
1444	0.912
1445	0.843
1446	0.811
1447	0.821
1448	0.972
1449	0.949
1450	0.913
1451	0.696
1452	1.083
1453	1.096
1454	0.953
1455	0.849
1456	0.926
1457	0.711
1458	0.848
1459	1.098
1460	0.785
1461	0.735
1462	0.822
1463	0.737
1464	1.067
1465	1.121
1466	0.95
1467	1.073
1468	0.895
1469	0.817
1470	0.904
1471	0.911
1472	1.08
1473	1.21
1474	1.029
1475	0.989
1476	1.024
1477	0.662
1478	0.886
1479	0.895
1480	1.174
1481	0.984
1482	1.233
1483	1
1484	1.315
1485	1.361
1486	1.439
1487	1.339
1488	1.166
1489	1.145
1490	1.138
1491	1.245
1492	1.21
1493	1.447
1494	0.987
1495	0.942
1496	1.165
1497	1.198
1498	1.021
1499	0.975
1500	1.213
1501	0.872
1502	0.767
1503	0.997
1504	1.152
1505	0.877
1506	1.052
1507	1.318
1508	1.08
1509	1.057
1510	1.254
1511	1.223
1512	1.161
1513	1.236
1514	1.363
1515	1.029
1516	1.165
1517	0.937
1518	1.304
1519	1.589
1520	1.159
1521	1.163
1522	1.114
1523	1.319
1524	1.141
1525	1.244
1526	1.006
1527	0.957
1528	0.845
1529	1.036
1530	0.793
1531	0.78
1532	0.974
1533	0.822
1534	0.844
1535	0.837
1536	0.751
1537	0.567
1538	0.58
1539	0.797
1540	0.682
1541	0.706
1542	0.643
1543	0.818
1544	0.754
1545	0.962
1546	1.039
1547	1.175
1548	1.088
1549	1.106
1550	1.195
1551	1.188
1552	1.195
1553	0.764
1554	0.947
1555	1.202
1556	1.186
1557	1.04
1558	1.101
1559	1.37
1560	1.186
1561	0.756
1562	0.836
1563	0.853
1564	1.129
1565	1.309
1566	1.142
1567	0.865
1568	1.077
1569	0.864
1570	0.736
1571	0.776
1572	0.861
1573	0.787
1574	1.258
1575	0.917
1576	0.676
1577	0.735
1578	0.93
1579	0.746
1580	0.884
1581	0.749
1582	0.698
1583	0.705
1584	1.024
1585	0.668
1586	0.713
1587	0.927
1588	1.303
1589	1.206
1590	1.184
1591	1.06
1592	0.931
1593	0.884
1594	0.998
1595	1.033
1596	0.646
1597	0.755
1598	0.663
1599	0.852
1600	0.704
1601	0.944
1602	0.967
1603	1.104
1604	0.909
1605	0.846
1606	0.887
1607	0.476
1608	0.522
1609	0.729
1610	0.726
1611	0.887
1612	0.736
1613	0.675
1614	0.643
1615	0.663
1616	0.995
1617	0.663
1618	0.811
1619	0.914
1620	0.894
1621	0.987
1622	0.82
1623	0.742
1624	0.803
1625	0.835
1626	0.837
1627	0.556
1628	0.558
1629	0.786
1630	1.043
1631	0.833
1632	0.701
1633	0.612
1634	0.991
1635	0.865
1636	0.891
1637	0.976
1638	1.097
1639	0.93
1640	0.871
1641	0.905
1642	0.86
1643	0.925
1644	0.751
1645	0.847
1646	1.053
1647	0.748
1648	0.979
1649	0.827
1650	0.687
1651	1.112
1652	0.724
1653	1.129
1654	0.853
1655	0.805
1656	0.79
1657	0.922
1658	0.709
1659	0.89
1660	0.693
1661	1.024
1662	0.814
1663	1.253
1664	1.03
1665	1.163
1666	0.946
1667	0.859
1668	0.739
1669	0.718
1670	0.607
1671	0.706
1672	0.654
1673	0.78
1674	0.618
1675	0.426
1676	0.505
1677	0.753
1678	0.799
1679	0.451
1680	0.522
1681	1.04
1682	0.818
1683	0.88
1684	0.82
1685	0.658
1686	0.744
1687	0.897
1688	0.922
1689	1.272
1690	1.453
1691	1.255
1692	1.142
1693	1.09
1694	1.261
1695	1.134
1696	1.033
1697	0.988
1698	0.932
1699	0.92
1700	0.91
1701	0.84
1702	0.926
1703	1.096
1704	1.01
1705	0.786
1706	0.93
1707	0.922
1708	1.024
1709	1.436
1710	1.129
1711	0.941
1712	1.047
1713	0.977
1714	0.811
1715	0.628
1716	0.815
1717	1.006
1718	1.234
1719	1.286
1720	1.198
1721	1.012
1722	1.265
1723	1.118
1724	1.292
1725	0.829
1726	0.704
1727	0.943
1728	1.22
1729	1.046
1730	0.649
1731	0.906
1732	0.953
1733	1
1734	1.06
1735	1.097
1736	1.091
1737	1.025
1738	0.911
1739	1.187
1740	1.015
1741	0.886
1742	0.812
1743	1.098
1744	1.056
1745	1.086
1746	0.695
1747	1.16
1748	0.966
1749	1.039
1750	0.724
1751	0.998
1752	1.161
1753	1.135
1754	1.026
1755	1.393
1756	0.852
1757	0.863
1758	0.756
1759	0.461
1760	0.667
1761	0.833
1762	0.867
1763	0.603
1764	0.57
1765	0.632
1766	0.72
1767	0.75
1768	0.613
1769	0.942
1770	0.635
1771	0.937
1772	0.752
1773	0.847
1774	0.716
1775	0.728
1776	0.814
1777	0.7
1778	0.868
1779	0.612
1780	0.98
1781	0.741
1782	0.684
1783	0.972
1784	1.171
1785	1.172
1786	0.786
1787	0.839
1788	1.088
1789	1.141
1790	0.981
1791	1.047
1792	1.102
1793	1.045
1794	1.087
1795	1.485
1796	0.984
1797	1.005
1798	0.993
1799	0.708
1800	0.893
1801	1.281
1802	1.165
1803	0.914
1804	1.045
1805	1.028
1806	1.027
1807	1.155
1808	1.075
1809	1.267
1810	1.215
1811	1.135
1812	0.989
1813	0.968
1814	0.786
1815	0.699
1816	1.004
1817	1.021
1818	0.83
1819	0.586
1820	0.832
1821	1.025
1822	0.838
1823	0.787
1824	0.661
1825	0.659
1826	0.795
1827	1.125
1828	1.084
1829	0.735
1830	0.801
1831	0.769
1832	0.961
1833	0.988
1834	0.814
1835	1.049
1836	0.88
1837	1.045
1838	0.86
1839	0.661
1840	0.705
1841	0.881
1842	0.724
1843	0.638
1844	0.791
1845	0.89
1846	1.054
1847	0.851
1848	1.03
1849	1.163
1850	0.916
1851	0.776
1852	0.955
1853	0.948
1854	1.067
1855	1.487
1856	1.231
1857	1.099
1858	0.967
1859	0.983
1860	1.015
1861	1.229
1862	1.14
1863	0.724
1864	1.157
1865	1.165
1866	1.429
1867	1.267
1868	1.079
1869	0.693
1870	0.928
1871	0.914
1872	1.375
1873	0.951
1874	0.763
1875	0.881
1876	1.433
1877	1.156
1878	1.106
1879	0.885
1880	0.803
1881	1.116
1882	0.991
1883	1.013
1884	1.134
1885	1.334
1886	1.286
1887	0.924
1888	1.364
1889	1.408
1890	1.105
1891	1.041
1892	1.236
1893	1.153
1894	1.13
1895	0.959
1896	1.311
1897	1.658
1898	1.123
1899	1.164
1900	1.262
1901	1.74
1902	1.242
1903	1.27
1904	1.435
1905	1.097
1906	1.406
1907	1.13
1908	0.883
1909	0.834
1910	1.193
1911	0.985
1912	1.334
1913	1.446
1914	1.627
1915	1.353
1916	1.134
1917	1.416
1918	1.194
1919	1.417
1920	1.119
1921	1.309
1922	1.158
1923	0.796
1924	0.893
1925	1.139
1926	0.916
1927	0.894
1928	0.756
1929	1.094
1930	1.212
1931	1.407
1932	1.003
1933	0.924
1934	0.796
1935	0.81
1936	1.075
1937	1.1
1938	0.901
1939	0.942
1940	1.176
1941	1.006
1942	0.944
1943	0.952
1944	0.992
1945	0.954
1946	1.212
1947	0.728
1948	1.053
1949	0.675
1950	0.972
1951	0.822
1952	0.815
1953	0.732
1954	0.767
1955	0.711
1956	0.808
1957	1.114
1958	1.005
1959	0.841
1960	1.083
1961	0.858
1962	1.02
1963	1.154
1964	1.093
1965	0.901
1966	0.871
1967	1.027
1968	0.736
1969	0.926
1970	0.676
1971	0.814
1972	0.967
1973	0.722
1974	0.796
1975	0.997
1976	0.851
1977	1.017
1978	0.835
1979	1.074
1980	0.894
1981	0.912
1982	0.997
1983	0.78
1984	0.517
1985	0.466
1986	0.647
1987	0.719
1988	0.512