# northamerica_usa_nv057 - Panaca Summit - 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/4981 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nv057 - Panaca Summit - 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: Panaca Summit # Location: # Country: United States # Northernmost_Latitude: 37.77 # Southernmost_Latitude: 37.77 # Easternmost_Longitude: -114.18 # Westernmost_Longitude: -114.18 # Elevation: 2103 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nv057B # Earliest_Year: 1670 # Most_Recent_Year: 1982 # 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":"4.30857737242","T2":"16.7082452701","M1":"0.0234940967908","M2":"0.457058347779"}} #-------------------- # Species # Species_Name: singleleaf pinyon pine # Species_Code: PIMO #-------------------- # 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 1670 0.095 1671 0.628 1672 0.842 1673 1.028 1674 1.33 1675 0.857 1676 1.112 1677 1.105 1678 1.137 1679 1.043 1680 1.363 1681 1.498 1682 1.144 1683 1.343 1684 0.554 1685 0.89 1686 0.343 1687 1.066 1688 1.077 1689 0.973 1690 0.938 1691 1.225 1692 1.014 1693 0.953 1694 1.018 1695 1.101 1696 1.159 1697 1.109 1698 0.44 1699 1.172 1700 1.089 1701 1.256 1702 0.887 1703 0.412 1704 0.704 1705 1.321 1706 0.91 1707 0.063 1708 0.29 1709 0.471 1710 1.013 1711 1.163 1712 1.293 1713 0.99 1714 1.174 1715 1.218 1716 0.912 1717 0.887 1718 1.256 1719 1.227 1720 1.668 1721 0.655 1722 0.589 1723 1.387 1724 1.245 1725 1.571 1726 1.928 1727 1.313 1728 0.576 1729 0.651 1730 0.821 1731 1.004 1732 0.896 1733 0.796 1734 1.135 1735 -0.079 1736 0.815 1737 0.695 1738 1.162 1739 0.715 1740 0.732 1741 0.949 1742 0.525 1743 1.131 1744 0.662 1745 1.032 1746 1.566 1747 1.568 1748 0.793 1749 1.555 1750 1.03 1751 0.645 1752 0.371 1753 0.885 1754 0.706 1755 0.721 1756 0.833 1757 0.91 1758 1.487 1759 1.19 1760 1.166 1761 1.157 1762 1.124 1763 0.349 1764 1.402 1765 0.887 1766 1.46 1767 1.395 1768 1.018 1769 1.302 1770 0.961 1771 1.763 1772 0.717 1773 0.663 1774 0.886 1775 1.482 1776 1.214 1777 0.526 1778 0.952 1779 0.965 1780 0.265 1781 0.76 1782 0.056 1783 0.905 1784 1.316 1785 0.834 1786 1.005 1787 1.043 1788 0.504 1789 0.919 1790 0.693 1791 1.313 1792 1.372 1793 1.449 1794 0.972 1795 0.665 1796 0.792 1797 1.088 1798 0.694 1799 1.011 1800 0.534 1801 0.625 1802 1.141 1803 1.002 1804 0.898 1805 0.504 1806 0.919 1807 1.18 1808 0.562 1809 0.617 1810 0.836 1811 1.186 1812 0.8 1813 0.335 1814 0.937 1815 1.051 1816 1.526 1817 0.998 1818 0.698 1819 1.16 1820 0.717 1821 1.292 1822 0.746 1823 0.692 1824 0.799 1825 0.932 1826 0.964 1827 0.871 1828 1.163 1829 0.778 1830 1.008 1831 0.966 1832 1.648 1833 1.345 1834 0.856 1835 1.243 1836 1.036 1837 1.42 1838 1.504 1839 1.68 1840 1.429 1841 0.814 1842 0.867 1843 1.229 1844 1.237 1845 0.515 1846 0.992 1847 0.194 1848 1.019 1849 1.61 1850 1.171 1851 1.023 1852 1.45 1853 1.24 1854 1.373 1855 1.136 1856 0.525 1857 0.293 1858 0.759 1859 0.812 1860 0.848 1861 0.708 1862 1.28 1863 0.309 1864 0.227 1865 0.642 1866 1.236 1867 0.888 1868 1.487 1869 0.741 1870 0.689 1871 0.554 1872 0.398 1873 0.556 1874 1.029 1875 0.798 1876 0.573 1877 0.716 1878 1.019 1879 0.396 1880 0.352 1881 0.416 1882 0.718 1883 0.822 1884 1.422 1885 1.622 1886 1.406 1887 1.798 1888 1.72 1889 1.268 1890 1.685 1891 1.438 1892 1.702 1893 0.873 1894 1.092 1895 1.186 1896 0.495 1897 1.313 1898 1.309 1899 0.702 1900 0.533 1901 1.411 1902 0.803 1903 0.69 1904 0.926 1905 1.4 1906 1.556 1907 2.037 1908 1.787 1909 1.755 1910 1.323 1911 1.441 1912 1.11 1913 1.134 1914 1.867 1915 1.142 1916 1.513 1917 1.897 1918 1.104 1919 1.295 1920 1.802 1921 1.22 1922 1.495 1923 1.155 1924 0.939 1925 1.49 1926 1.011 1927 0.722 1928 0.888 1929 0.255 1930 0.861 1931 0.885 1932 1.056 1933 0.627 1934 -0.018 1935 0.898 1936 0.259 1937 1.116 1938 1.363 1939 0.57 1940 0.828 1941 1.006 1942 0.866 1943 0.88 1944 0.98 1945 0.768 1946 0.664 1947 1.204 1948 0.822 1949 1.448 1950 0.835 1951 0.77 1952 1.222 1953 0.289 1954 0.652 1955 0.723 1956 0.168 1957 0.694 1958 1.146 1959 0.48 1960 0.758 1961 0.854 1962 0.986 1963 0.236 1964 0.84 1965 0.825 1966 0.534 1967 1.261 1968 0.691 1969 1.474 1970 0.761 1971 1.428 1972 0.528 1973 1.405 1974 0.463 1975 1.225 1976 0.889 1977 0.803 1978 1.383 1979 1.307 1980 1.261 1981 0.933 1982 1.059