# northamerica_usa_co535 - Frosty Park - 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/3356 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co535 - Frosty Park - 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: Frosty Park # Location: # Country: United States # Northernmost_Latitude: 38.77 # Southernmost_Latitude: 38.77 # Easternmost_Longitude: -104.97 # Westernmost_Longitude: -104.97 # Elevation: 3218 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co535B # Earliest_Year: 1313 # Most_Recent_Year: 1987 # 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":"4.47047374146","T2":"16.1604113853","M1":"0.0231850241404","M2":"0.467373718319"}} #-------------------- # Species # Species_Name: limber pine # Species_Code: PIFL #-------------------- # 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 1313 1.082 1314 1.075 1315 0.971 1316 1.106 1317 1.131 1318 1.007 1319 1.102 1320 1.028 1321 0.992 1322 1.166 1323 0.992 1324 0.898 1325 1.367 1326 1.324 1327 1.047 1328 1.151 1329 1.179 1330 0.996 1331 0.964 1332 1.128 1333 0.998 1334 1.062 1335 0.805 1336 0.837 1337 1.054 1338 0.953 1339 1.067 1340 1.048 1341 0.955 1342 0.889 1343 0.986 1344 1.005 1345 1.074 1346 0.961 1347 0.991 1348 1.013 1349 0.865 1350 1.198 1351 1.107 1352 0.945 1353 0.973 1354 0.837 1355 1.06 1356 1.124 1357 1.147 1358 1.152 1359 1.146 1360 0.899 1361 1.3 1362 1.119 1363 1.036 1364 1.011 1365 1.194 1366 1.238 1367 1.208 1368 1.192 1369 0.925 1370 1.033 1371 1.198 1372 1.129 1373 1.147 1374 1.047 1375 1.179 1376 1.111 1377 0.938 1378 0.896 1379 0.94 1380 1.066 1381 1.071 1382 0.906 1383 0.991 1384 0.95 1385 1.02 1386 1.068 1387 0.981 1388 1.109 1389 1.035 1390 0.965 1391 0.961 1392 0.953 1393 0.892 1394 0.784 1395 0.858 1396 0.784 1397 0.76 1398 0.884 1399 0.406 1400 0.756 1401 0.76 1402 0.904 1403 0.963 1404 1.065 1405 0.938 1406 1.157 1407 0.841 1408 0.891 1409 1.134 1410 0.864 1411 0.737 1412 1.042 1413 0.692 1414 0.626 1415 0.564 1416 0.93 1417 0.783 1418 0.987 1419 0.829 1420 0.9 1421 0.816 1422 0.826 1423 0.878 1424 0.963 1425 0.771 1426 1.012 1427 0.646 1428 0.805 1429 0.821 1430 0.97 1431 1.061 1432 0.753 1433 1.087 1434 1.015 1435 1.269 1436 1.178 1437 1.126 1438 1.079 1439 0.758 1440 1.214 1441 0.779 1442 0.87 1443 1.37 1444 0.831 1445 1.015 1446 1.281 1447 1.309 1448 1.104 1449 1.008 1450 1.098 1451 1.142 1452 1.074 1453 1.057 1454 1.405 1455 1.303 1456 1.097 1457 0.939 1458 1.004 1459 0.785 1460 1.002 1461 1.224 1462 1.218 1463 1.088 1464 1.04 1465 1.181 1466 1.225 1467 0.907 1468 0.902 1469 1.179 1470 0.965 1471 0.749 1472 0.952 1473 0.986 1474 0.802 1475 0.723 1476 0.785 1477 0.851 1478 0.856 1479 0.921 1480 0.775 1481 0.825 1482 0.844 1483 0.72 1484 0.843 1485 0.949 1486 0.756 1487 0.662 1488 0.91 1489 0.964 1490 0.991 1491 1.031 1492 1.002 1493 1.026 1494 1.007 1495 0.647 1496 0.617 1497 0.929 1498 0.87 1499 0.861 1500 0.853 1501 1.021 1502 1.086 1503 0.942 1504 1.113 1505 1.126 1506 1.037 1507 1.072 1508 0.938 1509 0.825 1510 1.092 1511 1.105 1512 0.919 1513 1.067 1514 1.084 1515 0.983 1516 1.079 1517 0.941 1518 0.963 1519 1.024 1520 1.001 1521 1.336 1522 0.495 1523 1.188 1524 0.922 1525 0.877 1526 0.906 1527 0.987 1528 0.825 1529 1.199 1530 1.123 1531 1.103 1532 0.75 1533 1.106 1534 0.711 1535 1.228 1536 1.088 1537 1.031 1538 0.851 1539 1.335 1540 1.175 1541 1.062 1542 0.815 1543 1.339 1544 1.155 1545 1.129 1546 1.13 1547 0.998 1548 0.982 1549 1.23 1550 1.308 1551 1.099 1552 1.033 1553 1.141 1554 1.19 1555 1.298 1556 1.258 1557 1.262 1558 0.742 1559 1.252 1560 1.102 1561 0.774 1562 0.986 1563 0.646 1564 1.172 1565 1.338 1566 1.006 1567 0.992 1568 1.032 1569 1.075 1570 0.815 1571 1.006 1572 1.052 1573 0.863 1574 0.888 1575 1.097 1576 0.886 1577 1.022 1578 0.967 1579 0.681 1580 0.779 1581 0.97 1582 0.947 1583 1.136 1584 0.877 1585 0.96 1586 0.901 1587 0.71 1588 1.205 1589 1.201 1590 1.157 1591 1.15 1592 1.138 1593 1.129 1594 1.258 1595 1.336 1596 1.267 1597 1.314 1598 1.295 1599 1.274 1600 1.242 1601 0.864 1602 1.054 1603 1.177 1604 1.152 1605 1.188 1606 1.181 1607 1.322 1608 0.868 1609 0.919 1610 0.892 1611 0.834 1612 0.524 1613 1.143 1614 0.941 1615 1.032 1616 0.956 1617 1.152 1618 1.187 1619 1.306 1620 1.374 1621 1.386 1622 0.96 1623 0.923 1624 1.069 1625 0.837 1626 1.179 1627 0.895 1628 1.135 1629 1.181 1630 1.29 1631 0.86 1632 1.289 1633 1.166 1634 1.268 1635 1.004 1636 1.351 1637 1.395 1638 1.152 1639 1.239 1640 1.278 1641 1.296 1642 1.183 1643 1.314 1644 1.289 1645 0.683 1646 1.005 1647 1.062 1648 1.017 1649 0.967 1650 0.843 1651 0.975 1652 0.667 1653 0.98 1654 0.349 1655 0.991 1656 1.025 1657 1.134 1658 1.095 1659 0.98 1660 1.145 1661 1.107 1662 0.946 1663 0.976 1664 0.883 1665 0.995 1666 0.467 1667 0.873 1668 0.603 1669 0.743 1670 0.679 1671 0.818 1672 0.736 1673 0.887 1674 0.888 1675 0.702 1676 0.834 1677 0.877 1678 0.957 1679 1.057 1680 1.115 1681 0.961 1682 0.811 1683 1.094 1684 0.648 1685 0.618 1686 0.83 1687 0.682 1688 0.904 1689 1.115 1690 0.904 1691 0.984 1692 1.218 1693 1.264 1694 1.102 1695 1.09 1696 0.848 1697 1.121 1698 1.019 1699 1.007 1700 0.887 1701 1.278 1702 1.066 1703 1.071 1704 0.923 1705 0.956 1706 0.975 1707 0.98 1708 0.914 1709 0.801 1710 1.259 1711 0.903 1712 1.126 1713 0.954 1714 0.975 1715 0.696 1716 0.843 1717 0.951 1718 0.93 1719 0.941 1720 1.019 1721 0.988 1722 1.101 1723 1.058 1724 1.037 1725 0.846 1726 0.925 1727 0.769 1728 0.803 1729 0.823 1730 0.734 1731 0.771 1732 0.864 1733 0.812 1734 0.87 1735 0.422 1736 0.553 1737 0.498 1738 0.884 1739 0.954 1740 0.86 1741 0.87 1742 0.84 1743 0.883 1744 0.717 1745 0.304 1746 0.623 1747 0.739 1748 0.475 1749 0.68 1750 0.631 1751 0.661 1752 0.512 1753 0.668 1754 0.623 1755 0.659 1756 0.821 1757 0.87 1758 0.744 1759 0.896 1760 0.716 1761 0.847 1762 0.943 1763 0.714 1764 0.679 1765 0.663 1766 0.74 1767 0.677 1768 0.781 1769 0.855 1770 0.741 1771 0.784 1772 0.838 1773 0.941 1774 0.832 1775 0.618 1776 0.883 1777 0.884 1778 0.8 1779 0.881 1780 0.92 1781 0.881 1782 0.864 1783 1.027 1784 0.901 1785 1.212 1786 0.853 1787 0.811 1788 1.273 1789 0.94 1790 1.078 1791 1.062 1792 1.079 1793 1.112 1794 1.145 1795 0.995 1796 1.286 1797 1.207 1798 1.297 1799 1.364 1800 1.226 1801 0.896 1802 1.285 1803 1.014 1804 1.319 1805 0.76 1806 0.803 1807 1.028 1808 0.973 1809 0.833 1810 0.975 1811 0.97 1812 1.132 1813 1.145 1814 1.216 1815 1.072 1816 1.05 1817 1.138 1818 0.882 1819 0.985 1820 0.862 1821 0.638 1822 0.809 1823 0.861 1824 0.638 1825 1.165 1826 1.062 1827 1.002 1828 1.12 1829 1.059 1830 0.751 1831 1.037 1832 0.74 1833 1.003 1834 0.803 1835 1.055 1836 0.885 1837 0.939 1838 0.821 1839 0.69 1840 0.552 1841 0.533 1842 0.538 1843 0.574 1844 0.569 1845 0.464 1846 0.548 1847 0.456 1848 0.601 1849 0.502 1850 0.538 1851 0.241 1852 0.77 1853 0.69 1854 0.746 1855 0.839 1856 0.549 1857 0.839 1858 0.99 1859 0.776 1860 0.738 1861 0.894 1862 0.896 1863 0.626 1864 0.887 1865 1.008 1866 1.261 1867 1.211 1868 0.771 1869 1.321 1870 1.251 1871 1.014 1872 1.244 1873 1.168 1874 1.172 1875 1.262 1876 1.476 1877 1.132 1878 1.207 1879 0.958 1880 0.527 1881 0.922 1882 1.1 1883 1.057 1884 1.258 1885 1.325 1886 1.145 1887 1.24 1888 0.962 1889 1.237 1890 0.904 1891 1.167 1892 1.171 1893 0.662 1894 1.391 1895 1.387 1896 0.988 1897 1.45 1898 1.404 1899 1.098 1900 1.582 1901 1.073 1902 1.209 1903 1.221 1904 1.087 1905 1.037 1906 0.98 1907 1.144 1908 0.734 1909 1.179 1910 1.23 1911 1.258 1912 1.372 1913 1.382 1914 1.221 1915 1.177 1916 1.067 1917 1.138 1918 0.989 1919 0.984 1920 0.89 1921 1.074 1922 1.195 1923 1.103 1924 0.971 1925 1.18 1926 1.184 1927 1.263 1928 1.134 1929 1.071 1930 1.091 1931 1.166 1932 1.105 1933 1.279 1934 0.859 1935 1.061 1936 0.981 1937 1.12 1938 1.377 1939 0.953 1940 1.177 1941 1.118 1942 1.437 1943 1.148 1944 1.295 1945 1.196 1946 0.965 1947 1.442 1948 1.182 1949 1.102 1950 0.865 1951 1.193 1952 0.777 1953 0.986 1954 0.895 1955 0.937 1956 0.739 1957 1.197 1958 1.115 1959 1.079 1960 1.066 1961 1.196 1962 1.222 1963 0.879 1964 0.789 1965 1.096 1966 1.016 1967 0.911 1968 0.84 1969 1.161 1970 1.117 1971 0.86 1972 1.133 1973 1.195 1974 0.985 1975 0.989 1976 0.8 1977 0.986 1978 0.806 1979 1.016 1980 0.904 1981 1.076 1982 0.89 1983 0.942 1984 1.073 1985 0.796 1986 0.961 1987 1.121