# northamerica_usa_ca656 - Figueroa Mountain - 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/8553 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca656 - Figueroa Mountain - 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: Figueroa Mountain # Location: # Country: United States # Northernmost_Latitude: 34.73 # Southernmost_Latitude: 34.73 # Easternmost_Longitude: -120.0 # Westernmost_Longitude: -120.0 # Elevation: 1036 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca656B # Earliest_Year: 1293 # Most_Recent_Year: 2003 # 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":"4.12685262799","T2":"15.3000585017","M1":"0.0231345775456","M2":"0.522851124546"}} #-------------------- # Species # Species_Name: blue oak # Species_Code: QUDG #-------------------- # 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 1293 0.689 1294 0.603 1295 0.655 1296 0.732 1297 0.705 1298 0.927 1299 1.094 1300 1.304 1301 1.651 1302 2.268 1303 2.456 1304 1.886 1305 1.071 1306 0.854 1307 0.814 1308 0.664 1309 0.77 1310 1.113 1311 0.57 1312 1.569 1313 1.584 1314 1.439 1315 0.825 1316 0.854 1317 0.985 1318 0.804 1319 1.254 1320 1.183 1321 1.918 1322 1.067 1323 0.701 1324 0.517 1325 0.174 1326 1.289 1327 1.537 1328 1.007 1329 0.74 1330 1.564 1331 1.564 1332 1.378 1333 0.884 1334 0.861 1335 0.184 1336 0.83 1337 1.727 1338 0.938 1339 0.768 1340 0.959 1341 1.014 1342 0.806 1343 0.694 1344 0.755 1345 0.994 1346 0.689 1347 0.426 1348 0.818 1349 0.826 1350 0.779 1351 0.37 1352 0.204 1353 0.942 1354 0.919 1355 1.022 1356 1.134 1357 0.941 1358 0.673 1359 1.057 1360 0.481 1361 0.707 1362 0.867 1363 0.991 1364 0.951 1365 0.62 1366 1.053 1367 1.291 1368 1.176 1369 0.861 1370 1.173 1371 0.84 1372 0.704 1373 1.071 1374 1.16 1375 1.227 1376 0.955 1377 0.519 1378 1.037 1379 0.969 1380 1.351 1381 1.277 1382 0.856 1383 1.015 1384 0.848 1385 0.912 1386 0.676 1387 0.862 1388 0.578 1389 1.181 1390 0.937 1391 0.998 1392 1.127 1393 1.74 1394 1.32 1395 1.047 1396 1.07 1397 1.014 1398 1.086 1399 1.078 1400 1.23 1401 1.501 1402 0.989 1403 0.809 1404 1.111 1405 0.881 1406 1.027 1407 1.046 1408 1.003 1409 0.905 1410 0.673 1411 0.975 1412 1.105 1413 0.684 1414 0.784 1415 0.893 1416 0.888 1417 0.694 1418 1.063 1419 0.976 1420 1.335 1421 1.236 1422 1.267 1423 1.217 1424 1.221 1425 1.172 1426 0.913 1427 1.459 1428 1.378 1429 1.543 1430 1.242 1431 0.888 1432 1.222 1433 1.192 1434 0.917 1435 0.718 1436 0.82 1437 0.973 1438 1.033 1439 1.476 1440 1.153 1441 1.282 1442 1.36 1443 0.978 1444 0.477 1445 0.657 1446 0.909 1447 0.923 1448 1.032 1449 0.838 1450 0.906 1451 1.135 1452 0.361 1453 0.701 1454 0.628 1455 1.186 1456 0.945 1457 0.526 1458 1.02 1459 0.632 1460 0.584 1461 0.768 1462 1.588 1463 1.206 1464 0.574 1465 0.493 1466 0.742 1467 1.011 1468 0.561 1469 1.024 1470 0.78 1471 1.009 1472 0.629 1473 0.769 1474 0.825 1475 0.665 1476 0.697 1477 0.609 1478 0.53 1479 0.598 1480 1.198 1481 0.634 1482 0.711 1483 0.825 1484 0.988 1485 1.026 1486 0.874 1487 1.04 1488 1.201 1489 0.934 1490 0.777 1491 1.361 1492 0.803 1493 1.031 1494 1.195 1495 1.249 1496 0.767 1497 0.613 1498 1.372 1499 0.952 1500 0.846 1501 1.058 1502 1.194 1503 1.062 1504 1.301 1505 0.878 1506 0.623 1507 0.813 1508 1.026 1509 1.367 1510 0.688 1511 1.024 1512 0.995 1513 0.879 1514 1.099 1515 0.733 1516 0.475 1517 0.558 1518 0.575 1519 0.774 1520 1.07 1521 0.338 1522 0.718 1523 1.403 1524 1.726 1525 1.224 1526 1.243 1527 0.428 1528 0.626 1529 0.304 1530 1.083 1531 1.367 1532 0.464 1533 1.148 1534 1.95 1535 1.619 1536 1.592 1537 1.039 1538 1.178 1539 1.197 1540 1.495 1541 0.927 1542 0.81 1543 1.39 1544 0.843 1545 1.028 1546 1.319 1547 1.075 1548 0.75 1549 1.586 1550 1.143 1551 1.134 1552 1.028 1553 1.206 1554 0.88 1555 1.001 1556 1.097 1557 1.52 1558 1.101 1559 1.266 1560 1.212 1561 1.019 1562 0.863 1563 0.985 1564 1.088 1565 1.529 1566 0.925 1567 1.314 1568 1.425 1569 0.948 1570 1.063 1571 0.143 1572 0.719 1573 1.029 1574 1.267 1575 0.712 1576 0.823 1577 1.206 1578 1.283 1579 0.637 1580 0.078 1581 0.973 1582 1.273 1583 1.339 1584 0.998 1585 0.095 1586 1.353 1587 1.34 1588 1.246 1589 1.622 1590 0.372 1591 0.607 1592 0.762 1593 1.138 1594 1.071 1595 0.872 1596 1.111 1597 0.509 1598 1.083 1599 1.153 1600 0.677 1601 1.065 1602 1.209 1603 0.857 1604 1.27 1605 1.335 1606 1.064 1607 0.766 1608 1.03 1609 1.055 1610 0.94 1611 0.608 1612 0.749 1613 -0.033 1614 0.394 1615 0.559 1616 0.929 1617 1.046 1618 0.631 1619 0.95 1620 1.463 1621 0.596 1622 0.752 1623 1.358 1624 0.65 1625 1.029 1626 0.647 1627 1.146 1628 1.11 1629 0.426 1630 0.747 1631 0.334 1632 0.575 1633 1.201 1634 0.744 1635 1.413 1636 0.938 1637 0.395 1638 1.127 1639 0.823 1640 1.228 1641 1.056 1642 1.339 1643 0.518 1644 1.265 1645 0.944 1646 0.555 1647 0.546 1648 0.615 1649 1.65 1650 0.855 1651 1.02 1652 0.746 1653 0.507 1654 0.067 1655 0.311 1656 1.381 1657 0.812 1658 0.971 1659 0.618 1660 1.211 1661 1.521 1662 1.622 1663 0.675 1664 1.544 1665 0.751 1666 0.488 1667 0.723 1668 1.352 1669 0.582 1670 0.116 1671 1.174 1672 1.593 1673 0.885 1674 1.534 1675 1.36 1676 0.462 1677 1.324 1678 1.302 1679 0.964 1680 1.799 1681 0.836 1682 1.313 1683 1.395 1684 0.856 1685 1.243 1686 0.68 1687 1.191 1688 0.784 1689 0.701 1690 0.756 1691 0.483 1692 1.135 1693 1.356 1694 1.59 1695 1.476 1696 1.615 1697 1.235 1698 0.724 1699 1.552 1700 1.069 1701 0.908 1702 1.32 1703 0.918 1704 1.393 1705 1.29 1706 0.61 1707 0.611 1708 0.57 1709 1.159 1710 0.803 1711 1.703 1712 1.069 1713 0.93 1714 1.001 1715 0.889 1716 0.786 1717 1.02 1718 1.084 1719 0.988 1720 1.181 1721 0.448 1722 0.62 1723 1.365 1724 0.618 1725 1.106 1726 0.815 1727 0.843 1728 0.375 1729 0.694 1730 1.629 1731 1.295 1732 1.328 1733 0.725 1734 1.465 1735 0.568 1736 0.424 1737 0.504 1738 1.105 1739 1.02 1740 1.635 1741 1.196 1742 0.761 1743 0.916 1744 1.081 1745 1.532 1746 1.587 1747 1.02 1748 0.451 1749 0.827 1750 1.197 1751 0.644 1752 0.371 1753 0.719 1754 0.324 1755 0.635 1756 1.023 1757 0.483 1758 1.029 1759 1.511 1760 1.226 1761 0.837 1762 1.074 1763 1.179 1764 1.417 1765 0.461 1766 1.513 1767 1.499 1768 0.939 1769 1.025 1770 0.609 1771 1.12 1772 0.812 1773 0.92 1774 1.194 1775 1.251 1776 0.8 1777 0.431 1778 0.851 1779 1.427 1780 1.071 1781 1.021 1782 0.094 1783 0.43 1784 1.217 1785 1.136 1786 1.155 1787 1.448 1788 0.558 1789 1.443 1790 1.499 1791 1.231 1792 1.234 1793 1.237 1794 0.575 1795 0.005 1796 0.436 1797 0.791 1798 1.062 1799 1.379 1800 0.831 1801 1.103 1802 1.096 1803 0.502 1804 1.354 1805 0.999 1806 0.977 1807 0.652 1808 1.007 1809 0.372 1810 0.836 1811 1.717 1812 0.639 1813 0.81 1814 0.998 1815 1.036 1816 1.411 1817 1.823 1818 1.185 1819 1.489 1820 0.911 1821 1.518 1822 0.726 1823 0.502 1824 0.76 1825 2.09 1826 1.336 1827 0.899 1828 1.743 1829 0.308 1830 0.883 1831 0.732 1832 1.318 1833 1.169 1834 0.865 1835 0.69 1836 0.586 1837 0.912 1838 1.685 1839 1.131 1840 0.961 1841 0.261 1842 1.288 1843 0.152 1844 0.354 1845 0.429 1846 0.763 1847 1.349 1848 1.326 1849 1.355 1850 1.3 1851 0.57 1852 1.004 1853 1.294 1854 1.041 1855 1.067 1856 0.328 1857 0.41 1858 0.307 1859 0.789 1860 1.583 1861 1.077 1862 1.615 1863 0.86 1864 0.025 1865 0.718 1866 0.871 1867 1.559 1868 2.267 1869 1.353 1870 0.532 1871 0.528 1872 0.792 1873 0.814 1874 1.037 1875 0.677 1876 1.168 1877 0.117 1878 1.427 1879 0.799 1880 1.585 1881 1.158 1882 0.924 1883 0.63 1884 1.363 1885 0.896 1886 1.16 1887 0.786 1888 0.926 1889 1.268 1890 1.419 1891 1.113 1892 0.818 1893 1.277 1894 0.697 1895 1.199 1896 1.091 1897 1.253 1898 0.025 1899 0.723 1900 0.415 1901 1.559 1902 0.924 1903 1.287 1904 0.94 1905 1.81 1906 1.676 1907 1.383 1908 1.205 1909 1.177 1910 1.126 1911 0.988 1912 0.759 1913 0.495 1914 1.36 1915 1.366 1916 1.039 1917 0.824 1918 0.519 1919 0.7 1920 0.859 1921 0.915 1922 0.878 1923 0.821 1924 0.242 1925 0.766 1926 0.835 1927 0.863 1928 0.879 1929 0.785 1930 0.523 1931 0.406 1932 1.62 1933 0.761 1934 0.517 1935 1.509 1936 1.098 1937 1.53 1938 1.125 1939 0.929 1940 1.122 1941 1.592 1942 1.311 1943 1.051 1944 1.082 1945 0.924 1946 0.7 1947 0.474 1948 0.347 1949 0.862 1950 0.909 1951 0.683 1952 1.53 1953 0.922 1954 0.869 1955 0.846 1956 1.018 1957 0.825 1958 1.261 1959 0.815 1960 0.78 1961 0.372 1962 1.204 1963 0.824 1964 0.416 1965 1.127 1966 0.939 1967 1.071 1968 0.655 1969 1.232 1970 0.559 1971 0.703 1972 0.363 1973 1.314 1974 1.245 1975 1.103 1976 0.753 1977 0.711 1978 1.326 1979 1.376 1980 1.39 1981 1.048 1982 1.035 1983 1.165 1984 0.768 1985 0.997 1986 1.174 1987 0.554 1988 1.015 1989 0.776 1990 0.363 1991 0.963 1992 1.22 1993 1.602 1994 1.06 1995 1.562 1996 0.912 1997 0.849 1998 1.573 1999 1.384 2000 1.17 2001 0.979 2002 0.449 2003 1.169