# northamerica_usa_mo002 - Jack's Fork - 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/3162 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo002 - Jack's Fork - 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: Jack's Fork # Location: # Country: United States # Northernmost_Latitude: 37.12 # Southernmost_Latitude: 37.12 # Easternmost_Longitude: -91.5 # Westernmost_Longitude: -91.5 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo002B # Earliest_Year: 1809 # Most_Recent_Year: 1981 # 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":"5.12339373325","T2":"17.3379532697","M1":"0.0226094819879","M2":"0.572218936402"}} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1809 0.809 1810 0.964 1811 0.981 1812 0.763 1813 0.704 1814 0.781 1815 0.627 1816 0.55 1817 0.65 1818 0.685 1819 0.712 1820 0.675 1821 0.645 1822 0.727 1823 0.704 1824 0.8 1825 0.957 1826 0.946 1827 0.881 1828 0.839 1829 0.708 1830 0.989 1831 1.079 1832 1.044 1833 0.99 1834 0.838 1835 0.82 1836 0.989 1837 1.118 1838 0.861 1839 0.85 1840 1.083 1841 0.97 1842 0.992 1843 0.994 1844 0.989 1845 0.951 1846 0.812 1847 0.819 1848 0.745 1849 1.018 1850 0.88 1851 0.763 1852 0.833 1853 0.697 1854 0.898 1855 0.78 1856 0.846 1857 0.752 1858 0.856 1859 0.832 1860 0.963 1861 0.935 1862 0.88 1863 0.869 1864 0.825 1865 0.762 1866 1.026 1867 0.979 1868 0.772 1869 0.912 1870 0.761 1871 0.922 1872 1.247 1873 0.989 1874 0.774 1875 1.0 1876 1.335 1877 1.299 1878 1.377 1879 1.103 1880 1.085 1881 0.968 1882 1.25 1883 1.282 1884 1.068 1885 1.052 1886 1.026 1887 0.887 1888 0.852 1889 1.073 1890 0.821 1891 0.885 1892 1.264 1893 1.076 1894 0.87 1895 1.059 1896 0.959 1897 1.03 1898 0.891 1899 0.864 1900 0.748 1901 0.748 1902 0.924 1903 0.929 1904 1.128 1905 0.829 1906 1.114 1907 1.099 1908 1.164 1909 1.148 1910 1.175 1911 0.606 1912 1.028 1913 0.686 1914 0.649 1915 1.142 1916 1.054 1917 0.89 1918 0.707 1919 0.916 1920 0.948 1921 0.986 1922 0.985 1923 1.121 1924 1.267 1925 0.819 1926 0.848 1927 0.986 1928 1.295 1929 1.194 1930 0.9 1931 0.968 1932 0.802 1933 0.881 1934 0.756 1935 1.181 1936 0.828 1937 1.098 1938 1.114 1939 1.09 1940 1.034 1941 0.981 1942 1.146 1943 0.973 1944 0.98 1945 1.388 1946 1.349 1947 1.201 1948 1.42 1949 1.203 1950 1.111 1951 1.458 1952 0.959 1953 0.822 1954 0.858 1955 0.989 1956 0.826 1957 0.954 1958 1.093 1959 0.93 1960 1.044 1961 0.945 1962 1.06 1963 0.719 1964 1.02 1965 1.047 1966 0.967 1967 0.797 1968 0.996 1969 1.002 1970 1.024 1971 1.029 1972 0.989 1973 1.161 1974 1.164 1975 1.063 1976 0.624 1977 0.731 1978 0.783 1979 0.867 1980 0.71 1981 0.869