# northamerica_usa_wa060 - North Fork Campground - 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/3324 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa060 - North Fork Campground - 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: North Fork Campground # Location: # Country: United States # Northernmost_Latitude: 48.0 # Southernmost_Latitude: 48.0 # Easternmost_Longitude: -120.6 # Westernmost_Longitude: -120.6 # Elevation: 915 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa060B # Earliest_Year: 1715 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.23734543113","T2":"17.7488397671","M1":"0.021843278311","M2":"0.39220790865"}} #-------------------- # 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 1715 1.023 1716 0.913 1717 0.811 1718 0.954 1719 0.998 1720 0.931 1721 0.807 1722 0.897 1723 1.053 1724 1.021 1725 1.011 1726 1.154 1727 1.338 1728 1.013 1729 0.935 1730 1.064 1731 1.161 1732 1.278 1733 1.195 1734 1.01 1735 1.083 1736 1.033 1737 1.045 1738 1.305 1739 0.971 1740 0.551 1741 0.659 1742 0.722 1743 0.843 1744 1.017 1745 1.111 1746 1.088 1747 1.075 1748 0.915 1749 1.261 1750 1.216 1751 1.217 1752 1.147 1753 1.088 1754 1.074 1755 1.295 1756 1.097 1757 1.046 1758 0.994 1759 1.034 1760 1.034 1761 1.412 1762 1.219 1763 1.114 1764 0.959 1765 0.995 1766 0.979 1767 0.864 1768 0.925 1769 0.944 1770 1.001 1771 1.067 1772 0.96 1773 1.117 1774 1.169 1775 1.015 1776 0.876 1777 0.94 1778 0.984 1779 1.003 1780 1.1 1781 1.0 1782 0.981 1783 0.952 1784 0.963 1785 0.979 1786 0.979 1787 0.692 1788 0.922 1789 0.939 1790 0.993 1791 1.09 1792 1.0 1793 1.056 1794 0.957 1795 0.793 1796 0.773 1797 0.752 1798 0.844 1799 0.871 1800 1.011 1801 1.058 1802 0.955 1803 0.975 1804 1.099 1805 1.17 1806 0.996 1807 0.978 1808 0.955 1809 1.06 1810 0.95 1811 0.996 1812 0.994 1813 1.112 1814 1.294 1815 0.975 1816 0.862 1817 0.739 1818 0.966 1819 0.959 1820 0.913 1821 0.849 1822 1.045 1823 0.666 1824 0.91 1825 0.995 1826 0.914 1827 0.984 1828 0.953 1829 0.899 1830 0.833 1831 0.881 1832 1.032 1833 1.035 1834 0.881 1835 0.915 1836 1.001 1837 1.021 1838 1.07 1839 0.99 1840 0.872 1841 1.035 1842 1.022 1843 1.028 1844 1.087 1845 1.307 1846 1.307 1847 0.824 1848 0.923 1849 0.797 1850 0.874 1851 0.903 1852 0.871 1853 0.892 1854 0.893 1855 1.111 1856 1.048 1857 1.165 1858 1.027 1859 1.021 1860 0.975 1861 1.116 1862 0.906 1863 0.793 1864 0.738 1865 0.663 1866 0.858 1867 0.818 1868 0.656 1869 0.736 1870 0.883 1871 0.98 1872 0.996 1873 1.099 1874 1.118 1875 1.05 1876 0.892 1877 1.357 1878 1.308 1879 0.974 1880 0.948 1881 1.162 1882 1.015 1883 0.788 1884 0.73 1885 1.076 1886 0.877 1887 0.912 1888 1.125 1889 0.791 1890 0.703 1891 0.975 1892 1.063 1893 1.051 1894 1.264 1895 1.361 1896 1.195 1897 1.361 1898 1.102 1899 0.95 1900 1.461 1901 1.261 1902 1.031 1903 1.118 1904 1.252 1905 1.221 1906 1.228 1907 1.266 1908 1.373 1909 1.244 1910 1.084 1911 1.113 1912 1.149 1913 1.255 1914 1.298 1915 1.185 1916 1.068 1917 0.87 1918 1.047 1919 1.134 1920 1.099 1921 1.317 1922 0.853 1923 0.844 1924 0.963 1925 0.965 1926 0.966 1927 1.033 1928 1.141 1929 0.933 1930 0.928 1931 0.92 1932 0.826 1933 0.962 1934 1.193 1935 0.868 1936 0.736 1937 0.844 1938 1.057 1939 1.072 1940 0.902 1941 0.985 1942 1.143 1943 0.953 1944 0.95 1945 0.983 1946 1.103 1947 1.031 1948 0.842 1949 0.999 1950 0.916 1951 0.852 1952 0.892 1953 0.821 1954 0.921 1955 0.947 1956 0.802 1957 0.838 1958 0.654 1959 0.828 1960 1.003 1961 0.883 1962 0.985 1963 0.894 1964 0.824 1965 0.737 1966 1.034 1967 0.876 1968 0.968 1969 0.827 1970 0.743 1971 0.832 1972 0.868 1973 0.866 1974 0.773 1975 0.994 1976 1.306 1977 0.814 1978 0.893 1979 0.776 1980 0.834