# africa_morc001 - Tounfite - 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/4993 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: africa_morc001 - Tounfite - 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: Tounfite # Location: # Country: Morocco # Northernmost_Latitude: 32.42 # Southernmost_Latitude: 32.42 # Easternmost_Longitude: -5.25 # Westernmost_Longitude: -5.25 # Elevation: 2200 m #-------------------- # Data_Collection # Collection_Name: africa_morc001B # Earliest_Year: 1253 # Most_Recent_Year: 1984 # 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":"5.45627705593","T2":"18.7390501902","M1":"0.0218750435914","M2":"0.419143642478"}} #-------------------- # Species # Species_Name: Atlantic cedar # Species_Code: CDAT #-------------------- # 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 1253 0.933 1254 0.952 1255 0.946 1256 1.013 1257 1.082 1258 1.02 1259 1.312 1260 1.281 1261 1.358 1262 1.309 1263 1.089 1264 1.089 1265 0.58 1266 0.619 1267 0.401 1268 0.706 1269 0.874 1270 0.952 1271 1.002 1272 1.17 1273 1.077 1274 0.723 1275 0.826 1276 1.033 1277 1.062 1278 1.262 1279 1.272 1280 1.401 1281 0.499 1282 0.815 1283 0.946 1284 0.845 1285 1.149 1286 0.896 1287 0.908 1288 0.883 1289 1.23 1290 0.755 1291 1.011 1292 0.92 1293 0.899 1294 0.505 1295 1.277 1296 1.221 1297 1.257 1298 1.324 1299 1.09 1300 0.758 1301 1.151 1302 0.992 1303 1.279 1304 0.902 1305 0.827 1306 0.63 1307 0.36 1308 0.39 1309 0.503 1310 1.031 1311 1.005 1312 0.959 1313 1.112 1314 1.53 1315 1.057 1316 1.233 1317 1.366 1318 1.177 1319 1.053 1320 1.141 1321 0.838 1322 1.33 1323 1.242 1324 0.634 1325 2.062 1326 1.415 1327 1.385 1328 2.068 1329 1.531 1330 2.012 1331 1.897 1332 1.306 1333 1.341 1334 0.666 1335 0.824 1336 0.477 1337 0.734 1338 0.171 1339 0.553 1340 0.853 1341 0.564 1342 0.795 1343 1.241 1344 1.173 1345 1.851 1346 1.592 1347 0.697 1348 0.516 1349 0.261 1350 0.409 1351 0.318 1352 0.372 1353 0.665 1354 0.861 1355 0.953 1356 0.453 1357 1.032 1358 0.529 1359 0.474 1360 0.716 1361 0.86 1362 0.666 1363 0.471 1364 0.907 1365 0.919 1366 0.833 1367 1.007 1368 1.961 1369 1.04 1370 1.778 1371 1.393 1372 0.591 1373 1.156 1374 1.287 1375 1.03 1376 0.008 1377 1.465 1378 1.251 1379 0.791 1380 1.517 1381 0.638 1382 0.502 1383 0.652 1384 1.183 1385 0.613 1386 1.494 1387 1.754 1388 1.17 1389 1.021 1390 0.689 1391 1.1 1392 0.136 1393 0.632 1394 0.441 1395 0.051 1396 0.557 1397 0.669 1398 0.637 1399 1.196 1400 1.089 1401 1.582 1402 0.662 1403 0.929 1404 0.938 1405 0.994 1406 1.142 1407 1.168 1408 1.671 1409 1.257 1410 1.447 1411 1.821 1412 2.049 1413 0.287 1414 0.938 1415 -0.004 1416 1.092 1417 0.885 1418 1.318 1419 1.41 1420 1.303 1421 1.534 1422 0.23 1423 1.658 1424 0.877 1425 0.474 1426 0.361 1427 0.994 1428 1.12 1429 1.4 1430 1.35 1431 1.33 1432 1.16 1433 0.995 1434 1.051 1435 1.343 1436 1.382 1437 1.1 1438 0.45 1439 1.039 1440 0.438 1441 1.384 1442 1.373 1443 1.473 1444 1.382 1445 0.813 1446 1.323 1447 2.018 1448 2.203 1449 0.465 1450 1.783 1451 1.238 1452 2.157 1453 1.956 1454 1.682 1455 1.603 1456 0.574 1457 0.566 1458 1.462 1459 1.149 1460 1.381 1461 1.739 1462 1.668 1463 0.593 1464 0.835 1465 0.008 1466 0.158 1467 0.008 1468 0.201 1469 -0.006 1470 0.339 1471 0.728 1472 0.527 1473 1.055 1474 0.739 1475 1.606 1476 1.569 1477 1.512 1478 0.862 1479 1.14 1480 1.47 1481 1.125 1482 0.84 1483 0.214 1484 0.29 1485 0.299 1486 0.511 1487 0.669 1488 0.998 1489 0.855 1490 1.044 1491 1.327 1492 1.378 1493 0.31 1494 1.052 1495 1.202 1496 1.121 1497 1.035 1498 1.114 1499 0.111 1500 0.473 1501 -0.009 1502 0.258 1503 0.452 1504 0.752 1505 1.028 1506 1.476 1507 1.489 1508 0.916 1509 1.114 1510 0.324 1511 0.153 1512 0.379 1513 0.809 1514 1.048 1515 0.239 1516 1.075 1517 1.036 1518 0.944 1519 1.176 1520 1.012 1521 0.097 1522 0.87 1523 0.882 1524 0.936 1525 0.794 1526 0.363 1527 0.635 1528 0.754 1529 0.629 1530 1.154 1531 0.776 1532 1.598 1533 1.724 1534 1.638 1535 1.576 1536 1.543 1537 1.53 1538 1.383 1539 1.298 1540 1.026 1541 0.7 1542 0.261 1543 0.87 1544 1.31 1545 0.289 1546 1.646 1547 1.527 1548 1.487 1549 1.406 1550 1.571 1551 1.238 1552 1.443 1553 1.185 1554 1.368 1555 0.173 1556 1.203 1557 0.934 1558 0.838 1559 0.87 1560 1.038 1561 1.456 1562 1.3 1563 1.329 1564 1.54 1565 0.943 1566 1.561 1567 1.673 1568 1.48 1569 0.924 1570 1.643 1571 1.445 1572 0.23 1573 0.866 1574 0.515 1575 0.87 1576 0.767 1577 1.466 1578 1.211 1579 0.317 1580 0.546 1581 0.194 1582 0.481 1583 0.498 1584 0.753 1585 0.617 1586 0.682 1587 0.57 1588 0.845 1589 0.387 1590 0.724 1591 0.736 1592 0.98 1593 0.81 1594 0.999 1595 0.564 1596 1.103 1597 1.122 1598 1.069 1599 1.118 1600 0.552 1601 0.952 1602 1.048 1603 0.888 1604 0.987 1605 0.603 1606 0.48 1607 0.69 1608 0.811 1609 0.987 1610 1.221 1611 0.838 1612 1.939 1613 0.445 1614 0.911 1615 0.867 1616 0.587 1617 0.734 1618 1.249 1619 1.32 1620 1.335 1621 1.127 1622 1.359 1623 1.087 1624 1.731 1625 1.709 1626 1.175 1627 0.647 1628 0.498 1629 0.969 1630 0.54 1631 0.263 1632 0.315 1633 0.415 1634 0.656 1635 0.325 1636 1.107 1637 0.868 1638 0.616 1639 0.977 1640 1.203 1641 1.248 1642 1.522 1643 0.872 1644 0.671 1645 0.718 1646 1.214 1647 0.942 1648 0.623 1649 0.889 1650 1.302 1651 1.049 1652 0.691 1653 0.819 1654 1.263 1655 1.478 1656 1.247 1657 1.117 1658 1.476 1659 1.793 1660 1.166 1661 0.249 1662 1.353 1663 1.405 1664 1.284 1665 1.172 1666 1.249 1667 1.475 1668 1.233 1669 1.591 1670 1.671 1671 1.243 1672 1.182 1673 1.45 1674 1.942 1675 1.552 1676 1.215 1677 -0.004 1678 0.525 1679 1.066 1680 0.802 1681 1.62 1682 1.106 1683 0.388 1684 1.598 1685 1.349 1686 1.912 1687 0.575 1688 1.467 1689 -0.004 1690 0.571 1691 0.003 1692 0.526 1693 0.388 1694 0.705 1695 0.962 1696 1.673 1697 1.598 1698 1.631 1699 1.413 1700 1.616 1701 0.275 1702 0.16 1703 0.159 1704 0.387 1705 0.647 1706 0.57 1707 0.842 1708 1.054 1709 0.979 1710 1.096 1711 1.269 1712 0.857 1713 0.726 1714 0.569 1715 0.874 1716 1.074 1717 1.017 1718 0.824 1719 0.873 1720 0.671 1721 0.687 1722 0.862 1723 1.078 1724 1.188 1725 1.027 1726 0.905 1727 1.15 1728 1.404 1729 0.432 1730 0.976 1731 0.152 1732 0.396 1733 0.234 1734 -0.013 1735 0.548 1736 0.813 1737 0.849 1738 0.102 1739 0.507 1740 0.914 1741 1.042 1742 0.969 1743 1.411 1744 0.816 1745 1.294 1746 1.268 1747 0.94 1748 0.89 1749 -0.014 1750 0.184 1751 0.378 1752 0.782 1753 0.643 1754 0.911 1755 0.931 1756 0.991 1757 1.254 1758 1.277 1759 0.363 1760 1.126 1761 1.227 1762 0.772 1763 1.407 1764 0.959 1765 1.112 1766 1.189 1767 1.424 1768 1.522 1769 1.331 1770 1.406 1771 1.392 1772 1.435 1773 1.053 1774 1.212 1775 0.967 1776 1.14 1777 0.836 1778 1.04 1779 0.542 1780 0.74 1781 0.341 1782 0.873 1783 0.857 1784 1.239 1785 1.531 1786 1.638 1787 1.178 1788 1.903 1789 1.283 1790 0.729 1791 0.841 1792 0.954 1793 0.421 1794 0.402 1795 0.639 1796 0.732 1797 0.761 1798 0.512 1799 0.97 1800 1.015 1801 0.784 1802 0.695 1803 0.954 1804 0.909 1805 0.824 1806 0.484 1807 0.846 1808 1.042 1809 0.715 1810 1.157 1811 0.836 1812 0.893 1813 1.107 1814 1.454 1815 1.201 1816 1.177 1817 0.69 1818 0.673 1819 0.895 1820 0.932 1821 0.801 1822 0.849 1823 1.048 1824 0.515 1825 0.612 1826 1.148 1827 1.148 1828 0.431 1829 1.23 1830 1.251 1831 0.915 1832 1.39 1833 1.39 1834 0.829 1835 1.268 1836 1.205 1837 1.829 1838 1.608 1839 0.828 1840 1.164 1841 0.497 1842 0.833 1843 0.855 1844 0.25 1845 0.591 1846 0.448 1847 0.731 1848 0.739 1849 0.93 1850 0.446 1851 1.102 1852 1.004 1853 1.234 1854 1.057 1855 1.406 1856 1.445 1857 1.424 1858 1.19 1859 0.697 1860 1.269 1861 0.507 1862 0.701 1863 0.178 1864 0.706 1865 0.853 1866 0.956 1867 0.677 1868 0.893 1869 0.782 1870 1.034 1871 1.104 1872 1.063 1873 1.113 1874 0.396 1875 0.651 1876 0.488 1877 0.651 1878 0.018 1879 0.705 1880 0.72 1881 0.331 1882 -0.006 1883 0.279 1884 0.545 1885 0.752 1886 0.918 1887 0.616 1888 1.072 1889 1.079 1890 1.076 1891 0.998 1892 0.167 1893 0.837 1894 1.103 1895 1.214 1896 1.255 1897 0.788 1898 1.131 1899 1.184 1900 1.53 1901 1.782 1902 0.712 1903 1.308 1904 1.263 1905 0.64 1906 1.233 1907 1.126 1908 1.265 1909 1.164 1910 1.164 1911 1.305 1912 1.353 1913 1.317 1914 1.142 1915 1.012 1916 1.024 1917 1.068 1918 0.93 1919 1.058 1920 1.269 1921 1.403 1922 1.524 1923 1.516 1924 1.391 1925 1.419 1926 0.979 1927 1.514 1928 1.534 1929 0.534 1930 1.087 1931 1.015 1932 0.945 1933 0.447 1934 0.655 1935 0.694 1936 0.792 1937 0.766 1938 0.719 1939 0.786 1940 0.487 1941 1.019 1942 1.328 1943 1.594 1944 1.427 1945 0.718 1946 1.222 1947 1.53 1948 1.282 1949 1.133 1950 0.759 1951 1.255 1952 1.192 1953 1.664 1954 1.892 1955 1.881 1956 1.184 1957 0.721 1958 0.867 1959 1.061 1960 1.579 1961 1.361 1962 1.615 1963 2.226 1964 2.028 1965 1.784 1966 1.679 1967 1.193 1968 1.073 1969 1.119 1970 1.107 1971 0.969 1972 0.548 1973 0.788 1974 0.836 1975 0.638 1976 0.57 1977 0.239 1978 0.517 1979 0.225 1980 0.162 1981 0.319 1982 0.243 1983 0.132 1984 0.184