# northamerica_usa_va006 - Dale City - 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/4229 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_va006 - Dale City - 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: Dale City # Location: # Country: United States # Northernmost_Latitude: 38.63 # Southernmost_Latitude: 38.63 # Easternmost_Longitude: -77.3 # Westernmost_Longitude: -77.3 # Elevation: 53 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_va006B # Earliest_Year: 1811 # Most_Recent_Year: 1978 # 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":"3.31906037087","T2":"15.2789890395","M1":"0.0224491077811","M2":"0.558734799785"}} #-------------------- # Species # Species_Name: eastern hemlock # Species_Code: TSCA #-------------------- # 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 1811 1.119 1812 1.346 1813 1.246 1814 1.402 1815 1.183 1816 1.167 1817 1.148 1818 0.991 1819 0.607 1820 0.565 1821 0.721 1822 0.682 1823 0.631 1824 0.978 1825 0.995 1826 0.552 1827 0.684 1828 1.019 1829 1.354 1830 1.207 1831 1.27 1832 1.157 1833 1.345 1834 1.438 1835 1.039 1836 1.019 1837 1.061 1838 1.111 1839 0.912 1840 1.052 1841 1.01 1842 1.206 1843 0.955 1844 0.993 1845 0.931 1846 1.1 1847 0.745 1848 0.676 1849 0.553 1850 0.497 1851 0.351 1852 0.367 1853 0.524 1854 0.612 1855 0.543 1856 0.705 1857 1.143 1858 0.937 1859 1.155 1860 1.093 1861 0.978 1862 1.032 1863 0.912 1864 0.922 1865 1.256 1866 1.174 1867 1.499 1868 1.249 1869 1.489 1870 1.391 1871 1.127 1872 0.59 1873 0.748 1874 0.763 1875 0.66 1876 0.858 1877 1.055 1878 1.189 1879 1.179 1880 0.899 1881 0.921 1882 0.948 1883 0.822 1884 0.971 1885 0.562 1886 0.463 1887 0.482 1888 0.438 1889 0.594 1890 0.74 1891 0.98 1892 1.224 1893 1.118 1894 0.979 1895 1.068 1896 0.836 1897 1.018 1898 0.899 1899 0.706 1900 0.639 1901 0.756 1902 1.035 1903 1.256 1904 1.324 1905 1.197 1906 1.479 1907 1.486 1908 1.42 1909 1.328 1910 1.434 1911 0.945 1912 0.838 1913 0.895 1914 0.609 1915 0.633 1916 1.101 1917 1.183 1918 1.299 1919 1.321 1920 1.26 1921 1.339 1922 1.411 1923 1.179 1924 1.122 1925 0.888 1926 0.603 1927 0.849 1928 0.919 1929 1.169 1930 1.122 1931 0.786 1932 0.804 1933 0.852 1934 0.743 1935 0.81 1936 0.864 1937 0.936 1938 0.862 1939 0.983 1940 0.819 1941 0.715 1942 0.777 1943 0.993 1944 0.97 1945 0.979 1946 1.376 1947 1.278 1948 1.328 1949 1.629 1950 1.11 1951 1.792 1952 1.238 1953 1.381 1954 0.885 1955 0.88 1956 0.967 1957 0.71 1958 1.203 1959 1.336 1960 0.732 1961 1.189 1962 0.793 1963 0.69 1964 0.764 1965 0.675 1966 0.724 1967 0.594 1968 0.897 1969 0.675 1970 0.831 1971 1.039 1972 1.029 1973 1.182 1974 0.668 1975 1.321 1976 0.841 1977 0.884 1978 1.015