# europe_turk014 - Su Batan - 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/5137 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk014 - Su Batan - 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 Vaganov–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 4–6 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 model’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: Su Batan # Location: # Country: Turkey # Northernmost_Latitude: 37.42 # Southernmost_Latitude: 37.42 # Easternmost_Longitude: 30.3 # Westernmost_Longitude: 30.3 # Elevation: 1862 m #-------------------- # Data_Collection # Collection_Name: europe_turk014B # Earliest_Year: 1246 # Most_Recent_Year: 2000 # 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":"5.27893690392","T2":"16.0631930925","M1":"0.0229474726483","M2":"0.383850650331"}} #-------------------- # 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 1246 0.878 1247 0.908 1248 0.747 1249 0.877 1250 0.815 1251 0.834 1252 0.94 1253 1.076 1254 1.458 1255 0.868 1256 1.103 1257 1.44 1258 1.332 1259 0.956 1260 0.571 1261 0.86 1262 1.007 1263 1.041 1264 1.046 1265 0.954 1266 0.621 1267 0.687 1268 0.787 1269 0.896 1270 1.074 1271 1.264 1272 1.263 1273 1.287 1274 1.194 1275 0.883 1276 0.909 1277 0.897 1278 0.847 1279 1.139 1280 1.206 1281 0.981 1282 1.056 1283 0.729 1284 0.697 1285 0.923 1286 0.994 1287 0.73 1288 0.803 1289 0.723 1290 0.804 1291 0.808 1292 0.766 1293 0.533 1294 0.571 1295 0.76 1296 0.843 1297 0.912 1298 0.906 1299 1.041 1300 0.854 1301 0.937 1302 0.93 1303 0.862 1304 0.983 1305 1.156 1306 1.409 1307 1.315 1308 1.805 1309 1.949 1310 1.747 1311 1.323 1312 1.296 1313 1.097 1314 0.874 1315 0.91 1316 1.043 1317 0.814 1318 1.316 1319 1.035 1320 1.163 1321 1.099 1322 0.84 1323 0.82 1324 0.746 1325 0.799 1326 0.873 1327 1.023 1328 1.28 1329 1.02 1330 0.856 1331 0.819 1332 0.689 1333 0.824 1334 1.13 1335 1.403 1336 0.882 1337 0.727 1338 0.914 1339 0.807 1340 0.851 1341 1.054 1342 1.041 1343 1.015 1344 1.13 1345 1.123 1346 0.941 1347 1.023 1348 0.702 1349 0.754 1350 0.789 1351 0.842 1352 1.016 1353 0.837 1354 0.903 1355 0.751 1356 0.743 1357 0.973 1358 0.824 1359 1.029 1360 0.783 1361 0.98 1362 0.746 1363 1.268 1364 1.098 1365 1.283 1366 0.926 1367 0.893 1368 1.171 1369 1.124 1370 0.892 1371 0.882 1372 0.99 1373 0.861 1374 0.997 1375 0.765 1376 1.099 1377 1.206 1378 0.772 1379 1.032 1380 0.923 1381 0.839 1382 0.934 1383 0.988 1384 0.681 1385 0.794 1386 0.791 1387 0.934 1388 0.966 1389 0.808 1390 1.186 1391 0.867 1392 1.179 1393 1.183 1394 0.99 1395 1.163 1396 1.121 1397 1.184 1398 1.315 1399 1.455 1400 1.272 1401 1.27 1402 1.381 1403 1.002 1404 1.112 1405 1.226 1406 0.902 1407 1.166 1408 1.186 1409 0.757 1410 0.737 1411 1.185 1412 0.762 1413 0.929 1414 0.937 1415 1.014 1416 1.064 1417 0.995 1418 1.259 1419 0.959 1420 1.013 1421 0.79 1422 0.897 1423 1.257 1424 1.077 1425 1.082 1426 1.146 1427 0.939 1428 0.91 1429 1.217 1430 1.082 1431 0.976 1432 0.931 1433 1.036 1434 0.887 1435 0.964 1436 0.736 1437 0.943 1438 0.911 1439 0.93 1440 0.595 1441 0.931 1442 1.385 1443 1.329 1444 1.028 1445 1.025 1446 1.08 1447 0.989 1448 1.181 1449 1.563 1450 1.337 1451 0.542 1452 0.974 1453 1.078 1454 0.756 1455 1.032 1456 1.081 1457 0.986 1458 1.019 1459 1.15 1460 0.763 1461 0.787 1462 0.779 1463 0.732 1464 0.896 1465 0.951 1466 0.899 1467 0.847 1468 0.962 1469 0.821 1470 0.94 1471 0.941 1472 0.924 1473 1.001 1474 1.081 1475 1.237 1476 0.989 1477 0.857 1478 0.677 1479 0.819 1480 1.266 1481 1.6 1482 0.98 1483 0.976 1484 1.093 1485 1.079 1486 1.117 1487 1.186 1488 0.689 1489 0.653 1490 0.833 1491 0.75 1492 1.036 1493 0.955 1494 0.946 1495 0.614 1496 0.843 1497 0.79 1498 0.686 1499 0.548 1500 0.969 1501 0.697 1502 0.831 1503 1.13 1504 1.391 1505 0.794 1506 1.094 1507 1.189 1508 1.478 1509 0.992 1510 1.011 1511 1.143 1512 1.225 1513 1.086 1514 1.205 1515 0.757 1516 1.237 1517 0.783 1518 1.014 1519 0.996 1520 1.408 1521 1.105 1522 1.125 1523 1.157 1524 1.106 1525 0.968 1526 1.038 1527 0.958 1528 1.205 1529 0.805 1530 1.111 1531 0.929 1532 0.896 1533 1.421 1534 1.216 1535 1.123 1536 0.783 1537 1.034 1538 1.248 1539 1.464 1540 0.775 1541 0.929 1542 1.156 1543 0.95 1544 0.966 1545 1.09 1546 0.892 1547 1.068 1548 0.966 1549 0.866 1550 1.241 1551 0.851 1552 0.97 1553 1.044 1554 0.815 1555 1.061 1556 1.088 1557 0.592 1558 0.656 1559 1.322 1560 0.727 1561 0.578 1562 0.655 1563 0.875 1564 1.225 1565 1.17 1566 1.352 1567 0.73 1568 1.23 1569 1.241 1570 0.947 1571 0.803 1572 0.967 1573 1.011 1574 1.24 1575 1.06 1576 1.323 1577 1.262 1578 1.043 1579 1.003 1580 0.748 1581 0.861 1582 0.683 1583 0.909 1584 1.149 1585 0.567 1586 1.118 1587 0.902 1588 0.763 1589 1.014 1590 1.013 1591 0.809 1592 0.798 1593 0.623 1594 0.681 1595 0.804 1596 0.957 1597 0.826 1598 0.788 1599 0.771 1600 0.716 1601 0.808 1602 1.106 1603 1.046 1604 0.959 1605 0.814 1606 0.899 1607 0.518 1608 0.529 1609 0.803 1610 1.192 1611 0.927 1612 0.928 1613 0.872 1614 0.839 1615 1.349 1616 1.074 1617 0.959 1618 1.043 1619 0.719 1620 0.706 1621 1.196 1622 0.891 1623 0.885 1624 0.765 1625 0.829 1626 1.073 1627 0.804 1628 1.064 1629 1.242 1630 1.29 1631 1.456 1632 0.939 1633 1.051 1634 0.914 1635 0.849 1636 0.992 1637 1.127 1638 1.392 1639 1.387 1640 1.591 1641 1.439 1642 1.094 1643 1.15 1644 1.049 1645 1.021 1646 1.209 1647 1.293 1648 1.358 1649 1.256 1650 0.944 1651 0.683 1652 0.723 1653 0.842 1654 0.595 1655 0.683 1656 0.812 1657 0.936 1658 0.733 1659 1.117 1660 1.271 1661 1.302 1662 1.015 1663 1.215 1664 1.023 1665 1.216 1666 1.321 1667 1.154 1668 1.028 1669 1.221 1670 1.17 1671 0.879 1672 0.769 1673 0.954 1674 1.019 1675 0.764 1676 0.32 1677 0.667 1678 0.881 1679 0.832 1680 0.378 1681 1.06 1682 1.022 1683 0.705 1684 0.897 1685 0.393 1686 0.661 1687 0.741 1688 0.866 1689 1.114 1690 1.086 1691 1.089 1692 1.329 1693 0.874 1694 0.869 1695 0.883 1696 0.814 1697 1.105 1698 0.892 1699 0.883 1700 0.933 1701 0.894 1702 0.857 1703 0.79 1704 0.968 1705 0.902 1706 1.232 1707 0.866 1708 0.704 1709 1.112 1710 0.568 1711 0.73 1712 1.056 1713 0.923 1714 1.219 1715 0.807 1716 0.397 1717 0.906 1718 0.902 1719 1.283 1720 1.356 1721 1.454 1722 1.392 1723 1.124 1724 1.223 1725 0.907 1726 1.192 1727 1.223 1728 1.29 1729 1.21 1730 0.851 1731 0.785 1732 0.587 1733 0.698 1734 0.801 1735 0.85 1736 0.867 1737 0.895 1738 0.826 1739 0.763 1740 0.584 1741 0.571 1742 0.585 1743 0.863 1744 0.93 1745 1.088 1746 0.989 1747 1.016 1748 1.127 1749 0.994 1750 0.678 1751 1.127 1752 1.382 1753 1.511 1754 1.14 1755 1.541 1756 0.947 1757 0.945 1758 1.101 1759 1.125 1760 0.859 1761 0.794 1762 0.801 1763 0.712 1764 0.496 1765 0.809 1766 1.151 1767 1.024 1768 1.086 1769 1.084 1770 0.802 1771 1.133 1772 0.881 1773 0.903 1774 0.869 1775 0.762 1776 0.795 1777 0.714 1778 0.951 1779 0.742 1780 0.795 1781 0.843 1782 0.609 1783 1.24 1784 1.014 1785 1.079 1786 1.192 1787 0.934 1788 0.994 1789 0.917 1790 0.858 1791 1.036 1792 0.895 1793 0.907 1794 0.952 1795 1.125 1796 0.477 1797 0.716 1798 0.903 1799 1.087 1800 1.25 1801 1.334 1802 1.172 1803 1.483 1804 1.464 1805 1.262 1806 0.847 1807 0.983 1808 0.89 1809 1.002 1810 1.199 1811 1.162 1812 1.082 1813 0.755 1814 0.913 1815 0.636 1816 1.269 1817 1.231 1818 0.874 1819 0.966 1820 0.822 1821 1.002 1822 0.644 1823 0.883 1824 0.564 1825 0.677 1826 0.83 1827 1.438 1828 0.924 1829 1.276 1830 0.793 1831 1.142 1832 1.385 1833 0.926 1834 1.057 1835 1.198 1836 0.995 1837 1.215 1838 0.869 1839 0.829 1840 0.944 1841 1.184 1842 1.101 1843 1.253 1844 0.909 1845 1.154 1846 1.188 1847 1.303 1848 1.52 1849 1.35 1850 1.366 1851 0.966 1852 1.193 1853 1.093 1854 0.908 1855 1.234 1856 1.181 1857 1.266 1858 1.023 1859 1.119 1860 1.058 1861 1.05 1862 0.945 1863 0.923 1864 1.031 1865 0.999 1866 1.197 1867 1 1868 0.834 1869 0.818 1870 1.067 1871 1.036 1872 1.148 1873 1.433 1874 1.174 1875 1.043 1876 1.397 1877 1.233 1878 1.015 1879 1.17 1880 0.862 1881 1.168 1882 0.957 1883 1.145 1884 0.998 1885 1.302 1886 1.258 1887 0.934 1888 1.164 1889 1.306 1890 1.175 1891 1.117 1892 1.27 1893 0.781 1894 0.63 1895 1.039 1896 0.913 1897 1.259 1898 0.753 1899 1.044 1900 1.095 1901 1.4 1902 1.098 1903 1.105 1904 0.875 1905 0.887 1906 0.946 1907 0.9 1908 0.801 1909 0.693 1910 0.909 1911 0.793 1912 0.731 1913 1.121 1914 1.029 1915 0.76 1916 0.735 1917 1.28 1918 1.229 1919 1.344 1920 0.863 1921 1.266 1922 1.376 1923 1.276 1924 1.116 1925 1.13 1926 1.017 1927 0.809 1928 0.786 1929 0.727 1930 1.134 1931 1.097 1932 0.79 1933 1.069 1934 0.786 1935 0.58 1936 1.246 1937 1.034 1938 0.814 1939 1.263 1940 1.263 1941 0.986 1942 0.773 1943 1.137 1944 1.239 1945 0.764 1946 1.068 1947 1.559 1948 0.926 1949 1.039 1950 0.981 1951 1.498 1952 1.395 1953 1.133 1954 1.21 1955 0.9 1956 0.854 1957 0.636 1958 0.878 1959 0.935 1960 0.82 1961 0.683 1962 0.769 1963 0.854 1964 0.74 1965 0.552 1966 0.729 1967 0.751 1968 0.828 1969 0.427 1970 0.68 1971 0.687 1972 0.833 1973 0.828 1974 1.129 1975 1.401 1976 1.238 1977 1.171 1978 0.917 1979 1.072 1980 0.819 1981 0.766 1982 0.698 1983 0.759 1984 0.622 1985 0.747 1986 0.974 1987 0.863 1988 0.96 1989 0.756 1990 0.763 1991 0.832 1992 0.753 1993 0.764 1994 0.697 1995 0.779 1996 0.865 1997 0.954 1998 1.013 1999 1.368 2000 0.915