# northamerica_usa_nm549 - Cabresto Canyon - 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/5072 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm549 - Cabresto Canyon - 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: Cabresto Canyon # Location: # Country: United States # Northernmost_Latitude: 36.73 # Southernmost_Latitude: 36.73 # Easternmost_Longitude: -105.47 # Westernmost_Longitude: -105.47 # Elevation: 2835 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm549B # Earliest_Year: 1653 # 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":"4.92408133604","T2":"14.634855262","M1":"0.0236479804603","M2":"0.568670649541"}} #-------------------- # 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 1653 1.382 1654 0.347 1655 0.693 1656 0.779 1657 0.805 1658 0.284 1659 0.743 1660 0.964 1661 1.154 1662 1.122 1663 1.008 1664 0.596 1665 1.079 1666 0.475 1667 0.584 1668 0.373 1669 0.549 1670 0.987 1671 0.915 1672 1.127 1673 0.887 1674 1.199 1675 0.56 1676 1.063 1677 1.27 1678 1.384 1679 0.676 1680 1.518 1681 0.932 1682 0.485 1683 1.127 1684 0.768 1685 0.182 1686 0.676 1687 0.919 1688 1.248 1689 1.611 1690 1.232 1691 0.874 1692 0.98 1693 1.46 1694 0.943 1695 1.096 1696 0.402 1697 1.249 1698 1.049 1699 1.637 1700 1.042 1701 1.597 1702 1.279 1703 1.644 1704 1.07 1705 0.742 1706 1.561 1707 0.859 1708 1.223 1709 0.506 1710 1.61 1711 1.382 1712 1.533 1713 1.682 1714 1.261 1715 0.949 1716 0.504 1717 0.727 1718 1.216 1719 0.567 1720 1.618 1721 1.118 1722 1.023 1723 1.127 1724 1.352 1725 1.025 1726 1.735 1727 0.935 1728 0.651 1729 0.168 1730 0.491 1731 0.759 1732 1.047 1733 0.53 1734 1.309 1735 0.364 1736 1.153 1737 0.484 1738 0.284 1739 0.978 1740 0.744 1741 0.533 1742 0.809 1743 1.252 1744 0.639 1745 1.096 1746 1.692 1747 1.278 1748 0.171 1749 1.129 1750 0.436 1751 1.114 1752 0.154 1753 0.903 1754 1.691 1755 1.454 1756 1.053 1757 1.332 1758 1.169 1759 0.941 1760 1.229 1761 1.87 1762 1.857 1763 1.366 1764 1.556 1765 0.662 1766 1.646 1767 1.226 1768 1.252 1769 0.981 1770 1.408 1771 1.535 1772 1.308 1773 0.981 1774 0.716 1775 0.742 1776 0.99 1777 0.714 1778 0.636 1779 0.417 1780 0.177 1781 0.186 1782 0.68 1783 0.776 1784 1.364 1785 0.641 1786 0.552 1787 1.418 1788 0.877 1789 0.352 1790 0.945 1791 1.34 1792 1.172 1793 1.42 1794 1.009 1795 1.046 1796 1.107 1797 0.406 1798 0.467 1799 1.094 1800 1.451 1801 0.287 1802 0.82 1803 1.107 1804 1.067 1805 0.618 1806 0.516 1807 1.009 1808 0.78 1809 0.126 1810 0.662 1811 0.664 1812 0.625 1813 0.971 1814 0.839 1815 1.206 1816 1.479 1817 1.016 1818 0.119 1819 0.19 1820 0.455 1821 0.791 1822 0.486 1823 0.539 1824 0.546 1825 0.789 1826 1.159 1827 1.24 1828 1.746 1829 1.279 1830 1.45 1831 1.538 1832 1.444 1833 1.646 1834 1.449 1835 2.022 1836 0.614 1837 1.509 1838 1.47 1839 1.935 1840 1.479 1841 1.36 1842 0.435 1843 0.837 1844 1.36 1845 1.152 1846 0.335 1847 0.147 1848 0.565 1849 0.887 1850 0.924 1851 0.022 1852 0.559 1853 0.642 1854 0.577 1855 0.411 1856 0.743 1857 0.625 1858 1.217 1859 0.638 1860 1.237 1861 -0.004 1862 0.627 1863 0.592 1864 0.438 1865 0.313 1866 0.96 1867 1.218 1868 1.325 1869 1.751 1870 0.851 1871 0.778 1872 1.732 1873 0.161 1874 0.739 1875 0.636 1876 0.945 1877 0.818 1878 1.337 1879 0.836 1880 0.289 1881 0.873 1882 1.297 1883 0.555 1884 1.569 1885 2.18 1886 1.376 1887 2.012 1888 1.571 1889 1.465 1890 1.074 1891 1.518 1892 1.749 1893 0.53 1894 0.215 1895 1.259 1896 0.463 1897 0.999 1898 1.536 1899 0.139 1900 0.761 1901 0.392 1902 0.221 1903 1.351 1904 0.135 1905 1.153 1906 1.02 1907 1.844 1908 1.783 1909 0.981 1910 1.267 1911 1.859 1912 1.731 1913 0.823 1914 2.005 1915 1.86 1916 1.419 1917 1.548 1918 1.046 1919 1.568 1920 1.262 1921 2.112 1922 0.762 1923 0.433 1924 1.202 1925 0.683 1926 1.218 1927 1.228 1928 0.841 1929 0.95 1930 1.322 1931 1.035 1932 1.49 1933 1.197 1934 0.865 1935 1.51 1936 1.021 1937 1.527 1938 1.484 1939 0.79 1940 1.054 1941 1.848 1942 1.322 1943 0.77 1944 1.433 1945 1.245 1946 0.162 1947 1.363 1948 1.064 1949 1.171 1950 0.446 1951 0.32 1952 0.509 1953 0.623 1954 0.502 1955 0.754 1956 -0.004 1957 0.659 1958 0.562 1959 0.534 1960 0.87 1961 0.633 1962 -0.004 1963 0.296 1964 0.25 1965 0.814 1966 0.654 1967 0.435 1968 0.664 1969 0.695 1970 0.93 1971 0.058 1972 1.145 1973 0.947 1974 0.413 1975 1.394 1976 0.593 1977 0.546 1978 0.892 1979 0.879 1980 0.933 1981 0.859 1982 0.897 1983 1.731 1984 1.211 1985 1.928 1986 2.45 1987 1.907