# europe_aust003 - Obergurgl - 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/3295 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_aust003 - Obergurgl - 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: Obergurgl # Location: # Country: Austria # Northernmost_Latitude: 46.85 # Southernmost_Latitude: 46.85 # Easternmost_Longitude: 11.02 # Westernmost_Longitude: 11.02 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: europe_aust003B # Earliest_Year: 1276 # Most_Recent_Year: 1974 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.27328255979","T2":"17.1732586081","M1":"0.0230275251349","M2":"0.381771343851"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014. #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1276 0.772 1277 0.747 1278 0.996 1279 1.121 1280 0.947 1281 1.022 1282 0.948 1283 1.273 1284 1.199 1285 1.199 1286 0.95 1287 0.925 1288 1.051 1289 0.951 1290 1.027 1291 0.927 1292 0.927 1293 0.903 1294 0.928 1295 0.929 1296 0.853 1297 0.98 1298 1.107 1299 0.931 1300 0.956 1301 0.982 1302 1.007 1303 0.764 1304 0.989 1305 0.914 1306 1.096 1307 0.943 1308 1.01 1309 0.943 1310 1.02 1311 1.054 1312 0.916 1313 1.169 1314 1.164 1315 0.85 1316 0.973 1317 0.951 1318 1.1 1319 1.033 1320 1.017 1321 1.112 1322 1.152 1323 1.002 1324 0.954 1325 1.251 1326 1.121 1327 1.096 1328 1.148 1329 1.026 1330 1.012 1331 1.005 1332 0.99 1333 1.025 1334 1.243 1335 0.882 1336 0.92 1337 0.897 1338 0.893 1339 0.871 1340 0.744 1341 0.763 1342 0.947 1343 1.131 1344 1.133 1345 1.136 1346 1.142 1347 1.087 1348 0.982 1349 0.846 1350 0.937 1351 0.971 1352 0.938 1353 0.86 1354 0.978 1355 0.816 1356 1.124 1357 1.05 1358 1.121 1359 1.092 1360 1.033 1361 1.097 1362 1.058 1363 1.248 1364 1.104 1365 1.092 1366 0.907 1367 1.124 1368 0.942 1369 0.946 1370 0.946 1371 0.937 1372 0.975 1373 1.008 1374 1.062 1375 0.949 1376 0.948 1377 0.802 1378 1.124 1379 1.119 1380 1.067 1381 1.019 1382 0.858 1383 1.086 1384 0.946 1385 0.815 1386 0.954 1387 1.024 1388 0.943 1389 0.902 1390 0.792 1391 0.868 1392 0.817 1393 0.876 1394 0.809 1395 0.933 1396 0.808 1397 0.966 1398 0.9 1399 0.852 1400 0.91 1401 0.941 1402 1.004 1403 1.052 1404 0.985 1405 0.941 1406 0.802 1407 1.095 1408 1.105 1409 1.093 1410 1.048 1411 1.07 1412 0.852 1413 1.077 1414 1.082 1415 1.104 1416 1.004 1417 0.97 1418 1.096 1419 0.984 1420 0.951 1421 1.135 1422 1.151 1423 1.015 1424 1.18 1425 1.05 1426 1.01 1427 0.955 1428 0.869 1429 1.065 1430 0.791 1431 1.001 1432 0.864 1433 1.023 1434 1.024 1435 0.94 1436 1.007 1437 1.038 1438 1.033 1439 1.105 1440 0.947 1441 1.175 1442 1.051 1443 0.796 1444 0.956 1445 1.028 1446 0.902 1447 1.024 1448 0.922 1449 1.015 1450 0.984 1451 0.993 1452 1.039 1453 0.863 1454 0.928 1455 0.933 1456 1.065 1457 1.02 1458 0.857 1459 0.897 1460 0.913 1461 0.95 1462 0.654 1463 0.748 1464 0.868 1465 0.758 1466 0.9 1467 0.81 1468 0.848 1469 0.866 1470 0.735 1471 0.977 1472 0.887 1473 1.026 1474 0.841 1475 1.093 1476 1.082 1477 0.824 1478 1.047 1479 1.089 1480 0.936 1481 1.204 1482 1.03 1483 1.121 1484 1.009 1485 0.913 1486 1.131 1487 1.099 1488 1.184 1489 1.162 1490 1.314 1491 1.019 1492 1.134 1493 0.939 1494 1.058 1495 1.019 1496 1.119 1497 0.981 1498 1.05 1499 1.124 1500 1.071 1501 1.091 1502 1.07 1503 0.916 1504 0.984 1505 0.948 1506 0.851 1507 0.954 1508 1.078 1509 0.985 1510 1.038 1511 1.043 1512 1.057 1513 1.013 1514 0.788 1515 0.901 1516 0.976 1517 0.67 1518 0.899 1519 0.933 1520 0.95 1521 1.091 1522 1.034 1523 0.9 1524 0.992 1525 0.971 1526 1.19 1527 1.179 1528 1.041 1529 1.022 1530 1.047 1531 0.933 1532 0.721 1533 0.839 1534 0.877 1535 0.987 1536 1.006 1537 0.984 1538 0.927 1539 1.008 1540 1.027 1541 0.813 1542 1.029 1543 0.994 1544 0.933 1545 1.136 1546 0.836 1547 0.968 1548 0.868 1549 0.785 1550 0.881 1551 0.953 1552 0.786 1553 1.017 1554 0.933 1555 0.971 1556 1.014 1557 0.937 1558 1.136 1559 0.949 1560 0.939 1561 0.947 1562 1.029 1563 1.025 1564 1.215 1565 1.031 1566 1.088 1567 0.891 1568 1.172 1569 0.956 1570 1.056 1571 0.847 1572 1.057 1573 1.012 1574 1.142 1575 1.191 1576 1.079 1577 1.247 1578 0.99 1579 0.959 1580 0.97 1581 0.933 1582 0.974 1583 1.082 1584 1.125 1585 0.916 1586 1.183 1587 0.799 1588 0.907 1589 0.963 1590 0.906 1591 0.925 1592 1.02 1593 0.993 1594 1.081 1595 0.978 1596 0.832 1597 1.088 1598 0.976 1599 1.069 1600 0.92 1601 1.026 1602 0.963 1603 0.963 1604 0.855 1605 0.936 1606 0.889 1607 0.967 1608 0.746 1609 0.921 1610 0.968 1611 0.977 1612 0.906 1613 0.891 1614 0.992 1615 1.053 1616 1.107 1617 0.955 1618 0.977 1619 0.929 1620 1.025 1621 1.096 1622 1.165 1623 1.072 1624 1.045 1625 0.912 1626 0.949 1627 0.903 1628 0.872 1629 0.935 1630 1.009 1631 1.174 1632 1.154 1633 1.208 1634 1.059 1635 0.951 1636 0.845 1637 1.092 1638 1.217 1639 0.841 1640 1.043 1641 1.048 1642 0.995 1643 0.971 1644 0.91 1645 0.908 1646 1.156 1647 1.114 1648 1.022 1649 0.976 1650 1.033 1651 1.039 1652 0.952 1653 0.949 1654 0.973 1655 1.082 1656 1.059 1657 1.139 1658 0.987 1659 0.971 1660 0.965 1661 1.076 1662 0.914 1663 0.881 1664 1.176 1665 1.115 1666 1.286 1667 1.122 1668 0.976 1669 0.984 1670 0.807 1671 1.026 1672 0.976 1673 1.039 1674 1.007 1675 0.775 1676 0.913 1677 0.828 1678 1.011 1679 1.046 1680 0.938 1681 0.978 1682 1.037 1683 1.061 1684 0.936 1685 0.684 1686 0.979 1687 0.867 1688 0.951 1689 0.786 1690 0.905 1691 1.028 1692 0.992 1693 1.098 1694 0.993 1695 1.005 1696 0.883 1697 0.952 1698 0.889 1699 1.001 1700 1.013 1701 0.972 1702 0.979 1703 0.988 1704 0.929 1705 0.939 1706 1.084 1707 1.075 1708 1.013 1709 0.886 1710 0.82 1711 1.001 1712 1.067 1713 0.874 1714 1.103 1715 1.061 1716 1.03 1717 1.026 1718 1.076 1719 1.026 1720 1.154 1721 0.944 1722 1.16 1723 0.804 1724 1.043 1725 0.945 1726 1.153 1727 0.967 1728 1.04 1729 1.016 1730 0.961 1731 1.063 1732 0.954 1733 1.067 1734 0.985 1735 0.983 1736 1.018 1737 1.112 1738 1.016 1739 1.188 1740 1.035 1741 0.88 1742 1.032 1743 0.874 1744 1.035 1745 0.896 1746 1.036 1747 0.935 1748 1.025 1749 0.888 1750 0.92 1751 1.006 1752 1.094 1753 1.009 1754 1.116 1755 0.915 1756 0.997 1757 0.964 1758 0.932 1759 1 1760 0.987 1761 1.045 1762 0.695 1763 0.921 1764 0.982 1765 0.763 1766 0.795 1767 0.914 1768 0.811 1769 0.776 1770 0.762 1771 0.849 1772 0.983 1773 0.922 1774 1.073 1775 1.041 1776 1.031 1777 1.072 1778 1.162 1779 1.054 1780 1.12 1781 1.06 1782 0.798 1783 0.843 1784 0.996 1785 0.896 1786 1.073 1787 1.282 1788 0.981 1789 1.081 1790 1.008 1791 1.072 1792 1.068 1793 1.048 1794 0.994 1795 1.017 1796 1.058 1797 0.964 1798 0.952 1799 1.076 1800 1.08 1801 1.213 1802 1.26 1803 1.009 1804 1.108 1805 1.026 1806 1.068 1807 1.199 1808 0.935 1809 1.037 1810 0.916 1811 1.109 1812 0.819 1813 0.842 1814 1.066 1815 0.903 1816 0.804 1817 0.935 1818 0.741 1819 0.863 1820 0.796 1821 0.598 1822 0.853 1823 0.716 1824 0.88 1825 0.907 1826 0.908 1827 0.822 1828 1.025 1829 1.045 1830 0.893 1831 0.777 1832 0.873 1833 0.905 1834 1.107 1835 0.969 1836 0.958 1837 0.749 1838 0.735 1839 0.903 1840 0.808 1841 0.847 1842 1.081 1843 0.809 1844 1.061 1845 1.161 1846 1.28 1847 1.143 1848 1.164 1849 1.116 1850 1.149 1851 1.146 1852 1.236 1853 1.162 1854 1.026 1855 1.155 1856 1.083 1857 1.214 1858 1.073 1859 1.167 1860 0.979 1861 1.079 1862 0.969 1863 1.085 1864 0.98 1865 1 1866 1.092 1867 1.056 1868 0.906 1869 1.003 1870 0.954 1871 0.876 1872 0.922 1873 1.135 1874 0.984 1875 1.045 1876 0.995 1877 0.945 1878 0.933 1879 0.95 1880 1.065 1881 1.256 1882 1.096 1883 0.962 1884 0.958 1885 0.92 1886 0.826 1887 1.024 1888 0.816 1889 1.02 1890 0.849 1891 0.718 1892 0.814 1893 0.87 1894 1.052 1895 1.078 1896 0.955 1897 1.101 1898 0.911 1899 0.881 1900 0.999 1901 1.002 1902 0.845 1903 0.885 1904 1.168 1905 1.106 1906 0.897 1907 0.998 1908 1.227 1909 0.837 1910 0.971 1911 1.147 1912 0.97 1913 0.661 1914 0.927 1915 0.904 1916 0.88 1917 1.267 1918 0.975 1919 1.027 1920 0.973 1921 1.348 1922 1.041 1923 1.098 1924 0.976 1925 0.939 1926 0.803 1927 1.139 1928 1.123 1929 0.972 1930 0.909 1931 1.064 1932 0.935 1933 0.821 1934 0.825 1935 0.962 1936 0.913 1937 0.955 1938 0.954 1939 1.007 1940 0.974 1941 1.033 1942 0.932 1943 1.002 1944 0.993 1945 1.04 1946 0.967 1947 1.159 1948 0.762 1949 1.171 1950 1.039 1951 1.076 1952 1.195 1953 1.012 1954 0.893 1955 1.104 1956 1.007 1957 0.89 1958 1.046 1959 0.982 1960 0.997 1961 1.048 1962 0.98 1963 1.091 1964 1.088 1965 0.922 1966 0.971 1967 1.102 1968 0.982 1969 1.099 1970 1.047 1971 0.948 1972 0.866 1973 1.066 1974 0.842