# northamerica_usa_mo2 - Rymers Ranch - 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/3452 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo2 - Rymers Ranch - 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: Rymers Ranch # Location: # Country: United States # Northernmost_Latitude: 37.12 # Southernmost_Latitude: 37.12 # Easternmost_Longitude: -91.48 # Westernmost_Longitude: -91.48 # Elevation: 0 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo2B # Earliest_Year: 1813 # Most_Recent_Year: 1991 # 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":"4.66825625665","T2":"16.0951126011","M1":"0.0224375808981","M2":"0.540012927007"}} #-------------------- # Species # Species_Name: eastern red cedar # Species_Code: JUVI #-------------------- # 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 1813 1.188 1814 0.851 1815 1.041 1816 1.013 1817 1.127 1818 0.611 1819 0.978 1820 0.574 1821 0.754 1822 0.937 1823 0.678 1824 1.02 1825 1.25 1826 0.715 1827 1.53 1828 0.95 1829 0.943 1830 0.755 1831 0.896 1832 0.738 1833 0.908 1834 0.897 1835 0.982 1836 0.739 1837 0.795 1838 0.905 1839 0.675 1840 0.918 1841 0.866 1842 1.016 1843 0.791 1844 0.948 1845 1.185 1846 1.27 1847 1.242 1848 0.988 1849 1.064 1850 1.081 1851 0.917 1852 0.833 1853 0.567 1854 0.848 1855 0.734 1856 0.781 1857 1.093 1858 1.106 1859 1.039 1860 1.023 1861 1.122 1862 1.289 1863 1.062 1864 0.802 1865 1.196 1866 1.502 1867 1.368 1868 1.29 1869 1.432 1870 1.139 1871 1.325 1872 1.108 1873 0.918 1874 0.937 1875 1.503 1876 2.156 1877 1.768 1878 2.052 1879 1.223 1880 1.435 1881 0.824 1882 1.726 1883 1.501 1884 1.212 1885 1.032 1886 0.774 1887 0.909 1888 0.85 1889 0.994 1890 0.853 1891 0.891 1892 0.864 1893 0.912 1894 0.503 1895 0.235 1896 0.468 1897 0.812 1898 0.542 1899 0.565 1900 0.762 1901 0.671 1902 0.337 1903 1.057 1904 1.116 1905 0.6 1906 0.505 1907 0.903 1908 0.724 1909 0.69 1910 0.61 1911 0.762 1912 0.543 1913 0.549 1914 0.312 1915 0.887 1916 0.864 1917 0.813 1918 0.661 1919 0.737 1920 0.658 1921 1.064 1922 0.803 1923 0.982 1924 1.101 1925 0.944 1926 0.92 1927 0.849 1928 0.923 1929 0.958 1930 0.77 1931 1.095 1932 0.819 1933 0.786 1934 0.655 1935 1.361 1936 0.659 1937 0.839 1938 1.417 1939 1.085 1940 0.757 1941 0.71 1942 1.032 1943 1.036 1944 0.852 1945 1.222 1946 1.264 1947 1.278 1948 0.908 1949 1.036 1950 0.902 1951 1.151 1952 1.074 1953 1.083 1954 1.24 1955 1.103 1956 1.449 1957 1.138 1958 1.021 1959 1.208 1960 0.992 1961 1.184 1962 1.036 1963 0.894 1964 1.004 1965 1.015 1966 1.149 1967 1.065 1968 1.008 1969 1.074 1970 0.982 1971 1.186 1972 0.874 1973 0.696 1974 1.05 1975 1.086 1976 1.452 1977 0.748 1978 0.915 1979 0.896 1980 0.909 1981 1.115 1982 0.846 1983 0.941 1984 0.92 1985 0.766 1986 1.251 1987 1.211 1988 1.501 1989 1.207 1990 0.91 1991 0.773