ÃÂ¯ÃÂ»ÃÂ¿# europe_turk042 - Neseli - 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/5557
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_turk042 - Neseli - 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: Neseli
#	Location:
#	Country: Turkey
#	Northernmost_Latitude: 37.2
#	Southernmost_Latitude: 37.2
#	Easternmost_Longitude: 34.47
#	Westernmost_Longitude: 34.47
#	Elevation: 1725 m
#--------------------
# Data_Collection
#	Collection_Name: europe_turk042B
#	Earliest_Year: 1235
#	Most_Recent_Year: 2001
#	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":"3.62099253143","T2":"15.8239449369","M1":"0.0224325336868","M2":"0.410698521293"}}
#--------------------
# Species
#	Species_Name: Greek juniper
#	Species_Code: JUEX
#--------------------
# 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
1235	0.846
1236	0.991
1237	0.927
1238	0.998
1239	1.102
1240	1.323
1241	1.41
1242	1.216
1243	0.973
1244	1.101
1245	0.995
1246	0.952
1247	0.922
1248	1.024
1249	1.143
1250	1.024
1251	0.779
1252	0.914
1253	1.021
1254	1.049
1255	1.2
1256	0.981
1257	0.758
1258	0.759
1259	0.837
1260	0.843
1261	1.02
1262	0.83
1263	1.129
1264	1.257
1265	1.32
1266	1.133
1267	1.025
1268	0.903
1269	0.795
1270	0.924
1271	0.993
1272	0.742
1273	0.995
1274	1.008
1275	0.697
1276	0.691
1277	0.877
1278	0.855
1279	0.935
1280	0.962
1281	0.849
1282	0.892
1283	0.831
1284	0.996
1285	1.088
1286	1.538
1287	1.203
1288	0.984
1289	0.909
1290	0.927
1291	0.902
1292	1.068
1293	0.969
1294	0.892
1295	1.168
1296	0.986
1297	1.21
1298	1.324
1299	1.283
1300	1.1
1301	0.946
1302	0.856
1303	0.663
1304	0.893
1305	1.218
1306	1.175
1307	1.004
1308	1.174
1309	1.157
1310	1.707
1311	1.08
1312	1.243
1313	0.971
1314	1.035
1315	0.955
1316	0.912
1317	0.812
1318	1.066
1319	1.384
1320	1.403
1321	1.086
1322	1.024
1323	0.778
1324	0.677
1325	0.713
1326	0.811
1327	1.043
1328	1.237
1329	1.273
1330	1.431
1331	1.33
1332	1.342
1333	1.225
1334	1.01
1335	1.146
1336	0.925
1337	0.659
1338	0.861
1339	1.151
1340	0.993
1341	1.297
1342	1.166
1343	1.021
1344	0.939
1345	1.216
1346	1.199
1347	1.262
1348	1.302
1349	1.098
1350	0.881
1351	0.978
1352	0.844
1353	0.765
1354	0.779
1355	0.6
1356	0.709
1357	0.617
1358	0.568
1359	0.81
1360	0.706
1361	0.823
1362	0.78
1363	1.219
1364	0.838
1365	0.985
1366	0.57
1367	0.838
1368	0.921
1369	0.922
1370	0.951
1371	0.691
1372	1.046
1373	1.333
1374	1.378
1375	0.653
1376	0.923
1377	1.191
1378	0.911
1379	1.204
1380	0.911
1381	1.266
1382	1.241
1383	0.849
1384	0.941
1385	1.158
1386	0.918
1387	1.108
1388	1.119
1389	0.815
1390	1.349
1391	0.689
1392	0.868
1393	1.425
1394	1.053
1395	0.695
1396	0.738
1397	0.758
1398	0.923
1399	0.945
1400	0.733
1401	0.794
1402	1.173
1403	0.917
1404	1.041
1405	1.101
1406	0.92
1407	0.825
1408	1.073
1409	0.926
1410	0.805
1411	1.071
1412	1.037
1413	0.647
1414	0.653
1415	0.806
1416	0.694
1417	0.849
1418	0.864
1419	0.587
1420	0.894
1421	1.077
1422	1.036
1423	1.206
1424	1.252
1425	1.419
1426	1.202
1427	1.194
1428	1.495
1429	1.237
1430	1.096
1431	0.969
1432	1.33
1433	1.292
1434	0.941
1435	0.823
1436	0.506
1437	1.066
1438	1.085
1439	1.014
1440	0.488
1441	0.955
1442	1.438
1443	0.715
1444	1.03
1445	0.804
1446	0.917
1447	0.456
1448	1.122
1449	1.475
1450	1.34
1451	1.058
1452	0.932
1453	0.797
1454	0.781
1455	0.828
1456	0.868
1457	0.864
1458	1.028
1459	1.327
1460	1.061
1461	0.9
1462	0.793
1463	0.818
1464	1.117
1465	0.949
1466	0.811
1467	0.865
1468	0.814
1469	0.829
1470	1.187
1471	1.214
1472	1.021
1473	1.085
1474	0.996
1475	1.107
1476	1.07
1477	0.788
1478	0.669
1479	0.643
1480	0.665
1481	0.716
1482	1.056
1483	0.847
1484	0.802
1485	0.854
1486	0.865
1487	0.845
1488	0.778
1489	0.812
1490	0.973
1491	0.774
1492	0.896
1493	0.792
1494	0.75
1495	0.839
1496	1.4
1497	1.057
1498	0.95
1499	0.916
1500	1.039
1501	0.786
1502	0.629
1503	0.858
1504	0.959
1505	0.739
1506	0.711
1507	1.087
1508	0.977
1509	0.865
1510	1.098
1511	0.957
1512	0.829
1513	1.079
1514	0.988
1515	0.884
1516	1.021
1517	0.763
1518	1.297
1519	1.781
1520	1.158
1521	1.188
1522	1.21
1523	1.417
1524	1.197
1525	1.201
1526	1.044
1527	1.056
1528	1.02
1529	1.03
1530	1.032
1531	0.892
1532	1.166
1533	1.183
1534	1.455
1535	1.197
1536	1.119
1537	0.933
1538	0.911
1539	1.308
1540	0.696
1541	0.833
1542	0.83
1543	1.047
1544	1.402
1545	1.206
1546	0.833
1547	1.023
1548	0.745
1549	0.755
1550	1.314
1551	0.768
1552	1.022
1553	1.095
1554	1.362
1555	1.299
1556	1.292
1557	1.027
1558	0.672
1559	0.968
1560	1.09
1561	0.582
1562	1.114
1563	0.948
1564	1.058
1565	1.509
1566	1.526
1567	0.809
1568	0.826
1569	1.084
1570	0.744
1571	0.805
1572	0.841
1573	1.171
1574	1.479
1575	1.341
1576	1.18
1577	1.053
1578	1.009
1579	1.002
1580	1.036
1581	0.894
1582	1.231
1583	1.145
1584	1.452
1585	0.72
1586	1.536
1587	1.33
1588	0.713
1589	1.316
1590	1.31
1591	1.026
1592	0.827
1593	1.031
1594	0.841
1595	0.447
1596	0.789
1597	0.686
1598	0.74
1599	0.668
1600	0.644
1601	1.075
1602	0.944
1603	1.152
1604	1.012
1605	1.045
1606	0.957
1607	0.567
1608	0.575
1609	0.985
1610	1.254
1611	1.183
1612	1.014
1613	0.633
1614	0.616
1615	1.105
1616	1.254
1617	1.133
1618	1.088
1619	1.109
1620	1.107
1621	1.236
1622	0.93
1623	1.024
1624	0.745
1625	0.933
1626	1.086
1627	0.727
1628	0.552
1629	1.267
1630	1.572
1631	1.446
1632	0.935
1633	0.938
1634	1.487
1635	1.226
1636	1.371
1637	1.043
1638	1.355
1639	0.863
1640	1.265
1641	1.499
1642	1.2
1643	1.029
1644	0.94
1645	0.836
1646	1.212
1647	1.227
1648	1.157
1649	1.005
1650	0.566
1651	1.167
1652	0.973
1653	0.918
1654	1.001
1655	1.069
1656	0.921
1657	1.063
1658	0.746
1659	0.928
1660	0.334
1661	1.277
1662	1.277
1663	1.561
1664	1.105
1665	1.476
1666	0.981
1667	1.121
1668	1.099
1669	0.962
1670	0.68
1671	0.863
1672	0.365
1673	0.792
1674	0.806
1675	0.4
1676	0.52
1677	0.906
1678	1.373
1679	0.533
1680	0.716
1681	1.61
1682	1.741
1683	1.376
1684	0.981
1685	0.866
1686	0.897
1687	0.811
1688	0.95
1689	1.012
1690	1.163
1691	0.936
1692	1.084
1693	0.827
1694	1.038
1695	0.944
1696	0.84
1697	1.279
1698	0.896
1699	1.004
1700	0.874
1701	0.852
1702	0.889
1703	0.904
1704	0.908
1705	0.804
1706	0.904
1707	1.215
1708	1.003
1709	1.217
1710	0.711
1711	0.902
1712	1.051
1713	0.819
1714	0.757
1715	0.357
1716	0.699
1717	0.561
1718	1.021
1719	0.957
1720	0.707
1721	0.777
1722	0.921
1723	0.791
1724	0.829
1725	0.479
1726	0.6
1727	1.161
1728	1.286
1729	0.843
1730	0.674
1731	0.762
1732	1.069
1733	0.843
1734	0.82
1735	0.952
1736	1.046
1737	0.899
1738	0.878
1739	0.868
1740	0.876
1741	0.716
1742	0.488
1743	0.904
1744	1.202
1745	1.22
1746	0.654
1747	1.16
1748	1.141
1749	0.999
1750	0.581
1751	1.256
1752	1.387
1753	1.094
1754	1.176
1755	1.669
1756	1.029
1757	0.873
1758	1.281
1759	0.897
1760	1.176
1761	1.25
1762	1.17
1763	1.113
1764	0.636
1765	0.666
1766	0.99
1767	0.939
1768	0.693
1769	1.191
1770	0.711
1771	1.007
1772	1.04
1773	1.06
1774	1.422
1775	1.006
1776	1.264
1777	1.135
1778	1.147
1779	0.694
1780	0.995
1781	0.796
1782	0.705
1783	1.206
1784	1.338
1785	1.031
1786	1.062
1787	1.056
1788	1.306
1789	1.27
1790	1.201
1791	1.199
1792	1.198
1793	0.91
1794	0.537
1795	1.384
1796	0.944
1797	0.557
1798	0.911
1799	0.556
1800	1.14
1801	1.084
1802	0.875
1803	1.125
1804	1.434
1805	1.299
1806	0.815
1807	0.93
1808	0.749
1809	1.238
1810	1.32
1811	0.976
1812	1.171
1813	0.91
1814	0.795
1815	0.964
1816	1.506
1817	1.202
1818	1.085
1819	0.406
1820	0.638
1821	1.091
1822	0.78
1823	0.83
1824	1.037
1825	0.929
1826	0.563
1827	1.384
1828	0.64
1829	0.778
1830	0.664
1831	0.774
1832	0.776
1833	0.839
1834	0.677
1835	1.378
1836	1.109
1837	0.574
1838	0.931
1839	0.853
1840	0.578
1841	1.004
1842	0.723
1843	0.694
1844	0.729
1845	0.901
1846	0.997
1847	0.988
1848	0.893
1849	0.768
1850	0.744
1851	0.491
1852	0.566
1853	0.821
1854	0.744
1855	1.145
1856	1.248
1857	1.012
1858	0.905
1859	1.009
1860	0.95
1861	0.922
1862	1.066
1863	0.665
1864	0.765
1865	1.091
1866	1.183
1867	0.952
1868	0.546
1869	0.875
1870	0.785
1871	0.868
1872	1.097
1873	0.797
1874	0.537
1875	1.044
1876	1.379
1877	1.246
1878	1.047
1879	0.579
1880	0.718
1881	0.953
1882	0.954
1883	1.154
1884	1.012
1885	1.249
1886	0.85
1887	0.241
1888	0.73
1889	1.217
1890	1.292
1891	1.283
1892	1.422
1893	0.811
1894	0.82
1895	0.82
1896	0.78
1897	1.354
1898	0.672
1899	0.711
1900	1.495
1901	1.491
1902	1.272
1903	1.188
1904	1.275
1905	1.094
1906	1.492
1907	0.921
1908	0.842
1909	0.785
1910	1.203
1911	0.669
1912	0.736
1913	1.143
1914	1.456
1915	1.163
1916	0.683
1917	0.651
1918	0.807
1919	1.322
1920	1.023
1921	1.156
1922	1.242
1923	0.948
1924	1.254
1925	0.977
1926	0.849
1927	0.547
1928	0.539
1929	0.768
1930	1.274
1931	1.021
1932	0.621
1933	0.775
1934	1.222
1935	0.729
1936	1.368
1937	1.422
1938	0.892
1939	1.028
1940	1.129
1941	1.07
1942	0.798
1943	1.05
1944	1.015
1945	0.732
1946	0.755
1947	1.206
1948	0.912
1949	0.433
1950	1.051
1951	1.861
1952	1.804
1953	0.892
1954	0.815
1955	0.783
1956	0.806
1957	0.975
1958	1.203
1959	0.874
1960	1.159
1961	0.996
1962	1.022
1963	1.538
1964	1.361
1965	0.887
1966	0.969
1967	1.077
1968	1.011
1969	1.089
1970	1.143
1971	1.081
1972	1.226
1973	1.018
1974	0.969
1975	1.566
1976	1.28
1977	1.41
1978	1.126
1979	1.353
1980	1.108
1981	1.425
1982	1.079
1983	1.548
1984	0.968
1985	0.997
1986	1.398
1987	1.123
1988	0.867
1989	0.597
1990	0.821
1991	0.617
1992	0.962
1993	0.664
1994	0.481
1995	0.721
1996	0.615
1997	0.943
1998	1.295
1999	0.835
2000	0.773
2001	0.998