# northamerica_usa_sd016 - Pilger 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/3959 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_sd016 - Pilger 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: Pilger Mountain # Location: # Country: United States # Northernmost_Latitude: 43.5 # Southernmost_Latitude: 43.5 # Easternmost_Longitude: -103.88 # Westernmost_Longitude: -103.88 # Elevation: 1392 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_sd016B # Earliest_Year: 1717 # Most_Recent_Year: 1989 # 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":"4.24623129245","T2":"14.9204103462","M1":"0.0225196120493","M2":"0.521066050512"}} #-------------------- # 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 1717 1.076 1718 1.034 1719 1.495 1720 0.748 1721 0.306 1722 1.006 1723 0.809 1724 0.737 1725 0.938 1726 1.657 1727 1.552 1728 1.032 1729 1.298 1730 1.109 1731 0.912 1732 0.885 1733 0.872 1734 0.636 1735 0.656 1736 0.34 1737 1.086 1738 0.876 1739 0.726 1740 1.232 1741 0.5 1742 0.751 1743 0.455 1744 0.762 1745 1.05 1746 0.866 1747 0.812 1748 1.351 1749 1.007 1750 1.167 1751 1.036 1752 1.023 1753 0.601 1754 0.872 1755 0.937 1756 0.555 1757 0.336 1758 0.137 1759 0.155 1760 0.358 1761 1.168 1762 0.92 1763 1.285 1764 1.574 1765 1.814 1766 1.602 1767 1.874 1768 1.696 1769 1.611 1770 2.189 1771 1.676 1772 1.25 1773 1.488 1774 1.436 1775 1.66 1776 1.136 1777 1.687 1778 1.606 1779 1.321 1780 1.931 1781 1.161 1782 0.937 1783 1.213 1784 0.823 1785 0.423 1786 0.931 1787 0.749 1788 0.842 1789 0.839 1790 0.765 1791 0.834 1792 1.25 1793 1.381 1794 1.218 1795 1.142 1796 1.197 1797 0.973 1798 0.63 1799 0.778 1800 0.825 1801 0.886 1802 1.09 1803 0.974 1804 1.203 1805 1.049 1806 1.14 1807 0.504 1808 0.464 1809 0.508 1810 0.615 1811 0.626 1812 0.756 1813 0.935 1814 1.081 1815 0.606 1816 1.084 1817 0.484 1818 0.69 1819 0.695 1820 1.041 1821 0.953 1822 0.565 1823 0.438 1824 0.686 1825 0.774 1826 0.767 1827 0.831 1828 0.945 1829 1.272 1830 1.541 1831 1.081 1832 1.27 1833 0.898 1834 1.199 1835 1.246 1836 1.598 1837 1.441 1838 1.366 1839 1.214 1840 1.403 1841 1.56 1842 1.641 1843 1.301 1844 1.329 1845 0.811 1846 0.926 1847 0.331 1848 0.095 1849 0.972 1850 0.855 1851 1.058 1852 0.695 1853 0.928 1854 0.939 1855 0.565 1856 0.361 1857 0.777 1858 0.568 1859 0.28 1860 0.286 1861 0.379 1862 0.542 1863 0.131 1864 0.298 1865 0.043 1866 0.347 1867 0.421 1868 0.555 1869 0.798 1870 0.284 1871 0.448 1872 0.566 1873 0.897 1874 0.483 1875 0.984 1876 0.045 1877 -0.049 1878 0.419 1879 0.909 1880 0.706 1881 0.701 1882 1.196 1883 1.252 1884 0.947 1885 1.319 1886 1.311 1887 1.129 1888 1.342 1889 1.174 1890 1.31 1891 1.097 1892 1.095 1893 0.433 1894 1.0 1895 0.805 1896 0.727 1897 0.596 1898 0.725 1899 0.818 1900 0.82 1901 0.969 1902 1.318 1903 1.306 1904 1.463 1905 1.82 1906 1.868 1907 1.364 1908 1.594 1909 1.427 1910 0.944 1911 0.241 1912 1.004 1913 0.935 1914 0.794 1915 1.82 1916 1.442 1917 0.765 1918 1.816 1919 0.756 1920 0.531 1921 1.078 1922 1.525 1923 1.073 1924 0.852 1925 1.157 1926 1.204 1927 1.017 1928 0.99 1929 0.966 1930 0.913 1931 0.771 1932 1.285 1933 0.94 1934 0.115 1935 0.733 1936 0.885 1937 1.147 1938 1.302 1939 0.051 1940 0.634 1941 1.525 1942 1.582 1943 1.218 1944 1.357 1945 2.312 1946 2.203 1947 1.859 1948 1.899 1949 1.111 1950 0.991 1951 1.112 1952 1.257 1953 1.406 1954 0.801 1955 1.453 1956 1.229 1957 1.095 1958 1.295 1959 0.794 1960 0.606 1961 0.331 1962 1.171 1963 1.168 1964 0.411 1965 1.287 1966 1.23 1967 1.011 1968 0.989 1969 1.106 1970 0.532 1971 0.953 1972 0.966 1973 0.532 1974 0.218 1975 1.077 1976 1.007 1977 0.173 1978 0.659 1979 0.403 1980 0.449 1981 0.502 1982 0.704 1983 0.68 1984 0.697 1985 0.402 1986 0.968 1987 0.851 1988 0.18 1989 0.208