# northamerica_usa_or047 - Pringle Falls Prescribed Fire - 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/4781 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or047 - Pringle Falls Prescribed Fire - 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: Pringle Falls Prescribed Fire # Location: # Country: United States # Northernmost_Latitude: 43.73 # Southernmost_Latitude: 43.73 # Easternmost_Longitude: -121.65 # Westernmost_Longitude: -121.65 # Elevation: 1320 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or047B # Earliest_Year: 1354 # Most_Recent_Year: 1991 # 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":"4.36618361048","T2":"15.6455855408","M1":"0.0233306271791","M2":"0.536959017063"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1354 0.672 1355 0.525 1356 0.603 1357 0.707 1358 0.653 1359 0.83 1360 0.825 1361 0.786 1362 0.821 1363 0.708 1364 0.664 1365 0.763 1366 0.719 1367 0.758 1368 0.968 1369 0.961 1370 1.235 1371 1.171 1372 1.057 1373 1.344 1374 0.931 1375 0.918 1376 0.818 1377 1.084 1378 0.84 1379 0.516 1380 0.643 1381 0.692 1382 0.437 1383 0.339 1384 0.428 1385 0.599 1386 0.48 1387 0.796 1388 0.881 1389 0.607 1390 0.776 1391 0.408 1392 0.455 1393 0.516 1394 0.498 1395 0.406 1396 0.545 1397 0.706 1398 0.561 1399 0.514 1400 0.581 1401 0.469 1402 0.374 1403 0.411 1404 0.433 1405 0.698 1406 0.532 1407 0.434 1408 0.337 1409 0.359 1410 0.388 1411 0.432 1412 0.547 1413 0.564 1414 0.505 1415 0.64 1416 0.571 1417 0.543 1418 0.668 1419 0.795 1420 0.823 1421 0.957 1422 0.814 1423 0.812 1424 0.867 1425 0.907 1426 0.855 1427 0.811 1428 0.644 1429 0.645 1430 0.732 1431 0.862 1432 0.91 1433 0.87 1434 1.173 1435 1.088 1436 0.708 1437 0.882 1438 0.945 1439 0.82 1440 0.808 1441 0.769 1442 0.661 1443 0.776 1444 0.883 1445 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1629 0.887 1630 0.712 1631 0.553 1632 0.597 1633 0.631 1634 0.657 1635 0.747 1636 0.947 1637 1.256 1638 1.147 1639 1.129 1640 1.513 1641 1.608 1642 1.468 1643 1.172 1644 1.126 1645 1.581 1646 1.589 1647 1.463 1648 1.368 1649 1.157 1650 1.333 1651 1.124 1652 0.908 1653 0.489 1654 0.661 1655 0.67 1656 0.814 1657 0.819 1658 0.909 1659 0.948 1660 1.254 1661 0.844 1662 0.505 1663 0.523 1664 0.65 1665 0.628 1666 0.859 1667 1.023 1668 1.03 1669 1.301 1670 1.495 1671 1.715 1672 1.283 1673 1.486 1674 1.444 1675 1.403 1676 1.21 1677 0.622 1678 0.311 1679 0.323 1680 0.463 1681 0.565 1682 0.6 1683 0.62 1684 0.692 1685 0.83 1686 1.004 1687 1.23 1688 1.228 1689 1.149 1690 1.463 1691 1.414 1692 1.517 1693 1.369 1694 1.498 1695 1.412 1696 1.551 1697 1.782 1698 1.552 1699 1.45 1700 1.429 1701 1.313 1702 1.336 1703 1.294 1704 1.159 1705 1.049 1706 1.092 1707 1.095 1708 1.027 1709 1.043 1710 1.133 1711 1.198 1712 1.209 1713 1.303 1714 1.242 1715 1.511 1716 1.612 1717 1.248 1718 1.107 1719 1.195 1720 1.38 1721 1.142 1722 1.215 1723 1.235 1724 1.111 1725 1.261 1726 1.383 1727 1.231 1728 0.998 1729 0.944 1730 0.897 1731 1.064 1732 1.161 1733 1.132 1734 0.753 1735 0.723 1736 0.598 1737 0.548 1738 0.624 1739 0.622 1740 0.657 1741 0.585 1742 0.617 1743 0.696 1744 0.751 1745 0.644 1746 0.674 1747 0.756 1748 0.829 1749 0.864 1750 0.878 1751 0.925 1752 0.946 1753 0.835 1754 0.837 1755 0.86 1756 0.63 1757 0.633 1758 0.76 1759 0.768 1760 0.833 1761 0.968 1762 1.01 1763 0.92 1764 0.862 1765 1.114 1766 1.09 1767 1.049 1768 1.029 1769 0.931 1770 1.019 1771 1.066 1772 1.254 1773 1.224 1774 1.24 1775 1.168 1776 0.866 1777 0.666 1778 0.705 1779 0.77 1780 0.777 1781 0.711 1782 0.809 1783 0.757 1784 0.876 1785 0.935 1786 0.972 1787 0.921 1788 1.107 1789 1.005 1790 0.872 1791 1.282 1792 1.135 1793 1.236 1794 1.323 1795 1.361 1796 1.232 1797 1.132 1798 1.279 1799 1.328 1800 1.161 1801 1.117 1802 0.89 1803 0.475 1804 0.263 1805 0.327 1806 0.46 1807 0.529 1808 0.547 1809 0.703 1810 0.686 1811 0.767 1812 0.983 1813 0.912 1814 1.045 1815 0.97 1816 1.093 1817 1.087 1818 1.116 1819 1.098 1820 1.112 1821 0.96 1822 1.062 1823 0.941 1824 0.817 1825 0.897 1826 1.05 1827 0.978 1828 0.903 1829 0.941 1830 0.924 1831 1.058 1832 1.012 1833 1.071 1834 0.947 1835 1.056 1836 1.276 1837 1.416 1838 1.113 1839 0.924 1840 0.621 1841 0.5 1842 0.468 1843 0.45 1844 0.44 1845 0.489 1846 0.505 1847 0.405 1848 0.557 1849 0.551 1850 0.6 1851 0.513 1852 0.626 1853 0.588 1854 0.686 1855 0.977 1856 0.777 1857 0.834 1858 0.931 1859 1.025 1860 1.393 1861 1.758 1862 1.394 1863 1.479 1864 1.315 1865 1.184 1866 1.452 1867 1.373 1868 1.26 1869 1.409 1870 1.683 1871 1.51 1872 1.335 1873 1.407 1874 1.561 1875 1.563 1876 1.447 1877 1.484 1878 1.446 1879 1.552 1880 1.219 1881 1.268 1882 1.105 1883 1.105 1884 1.193 1885 1.138 1886 1.128 1887 0.989 1888 1.021 1889 0.936 1890 0.801 1891 0.803 1892 0.746 1893 0.706 1894 0.765 1895 0.806 1896 0.735 1897 0.778 1898 0.666 1899 0.562 1900 0.887 1901 0.921 1902 0.876 1903 0.979 1904 1.095 1905 1.017 1906 1.043 1907 1.126 1908 1.235 1909 1.316 1910 1.157 1911 1.151 1912 1.147 1913 1.128 1914 1.135 1915 1.188 1916 1.081 1917 1.158 1918 1.2 1919 1.244 1920 1.012 1921 1.061 1922 0.866 1923 0.827 1924 0.642 1925 0.605 1926 0.587 1927 0.611 1928 0.682 1929 0.636 1930 0.495 1931 0.681 1932 0.717 1933 0.804 1934 0.831 1935 0.679 1936 0.62 1937 0.777 1938 0.862 1939 0.748 1940 0.786 1941 0.788 1942 1.104 1943 0.957 1944 0.938 1945 0.993 1946 1.1 1947 1.257 1948 1.054 1949 0.861 1950 0.894 1951 0.843 1952 0.86 1953 0.887 1954 0.979 1955 1.047 1956 1.099 1957 1.123 1958 0.9 1959 0.955 1960 1.156 1961 1.147 1962 0.966 1963 1.032 1964 0.838 1965 0.837 1966 0.996 1967 0.845 1968 0.716 1969 0.83 1970 0.752 1971 0.778 1972 0.75 1973 0.669 1974 0.664 1975 0.72 1976 0.661 1977 0.648 1978 0.678 1979 0.83 1980 0.774 1981 0.745 1982 0.86 1983 0.843 1984 0.795 1985 0.617 1986 0.768 1987 0.712 1988 0.661 1989 0.594 1990 0.637 1991 0.624