# northamerica_usa_tn019 - Hen Wallow Falls B - 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/5389 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_tn019 - Hen Wallow Falls B - 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: Hen Wallow Falls B # Location: # Country: United States # Northernmost_Latitude: 35.75 # Southernmost_Latitude: 35.75 # Easternmost_Longitude: -83.23 # Westernmost_Longitude: -83.23 # Elevation: 218 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_tn019B # Earliest_Year: 1845 # Most_Recent_Year: 1995 # 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":"2.8869165882","T2":"14.3646156272","M1":"0.0223784139713","M2":"0.403431861207"}} #-------------------- # 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 1845 0.968 1846 0.929 1847 0.965 1848 0.789 1849 0.759 1850 0.709 1851 0.783 1852 0.535 1853 0.645 1854 0.918 1855 0.542 1856 0.654 1857 0.84 1858 0.8 1859 0.84 1860 0.72 1861 0.786 1862 0.762 1863 0.778 1864 0.78 1865 0.698 1866 0.724 1867 0.953 1868 0.73 1869 0.836 1870 0.858 1871 0.698 1872 0.553 1873 0.593 1874 1.015 1875 0.833 1876 1.089 1877 1.001 1878 1.116 1879 0.926 1880 1.017 1881 0.779 1882 0.869 1883 0.807 1884 0.712 1885 0.616 1886 0.479 1887 0.418 1888 0.356 1889 0.593 1890 1.009 1891 1.004 1892 1.321 1893 1.357 1894 1.375 1895 1.09 1896 1.053 1897 1.236 1898 1.132 1899 0.815 1900 1.23 1901 1.242 1902 1.251 1903 1.48 1904 1.467 1905 1.341 1906 1.458 1907 1.193 1908 1.315 1909 1.578 1910 1.435 1911 1.23 1912 0.8 1913 1.26 1914 1.02 1915 0.951 1916 1.269 1917 1.318 1918 1.118 1919 1.099 1920 0.918 1921 1.107 1922 1.192 1923 1.204 1924 1.057 1925 0.8 1926 0.676 1927 0.981 1928 1.376 1929 1.421 1930 0.989 1931 1.1 1932 1.567 1933 1.225 1934 1.185 1935 1.653 1936 1.216 1937 1.036 1938 1.778 1939 1.426 1940 1.141 1941 1.07 1942 1.143 1943 1.308 1944 1.095 1945 1.167 1946 1.13 1947 1.126 1948 1.084 1949 1.262 1950 1.34 1951 1.151 1952 0.954 1953 0.97 1954 0.682 1955 0.58 1956 0.823 1957 0.571 1958 0.837 1959 0.802 1960 0.718 1961 0.886 1962 1.058 1963 0.669 1964 0.978 1965 0.795 1966 0.876 1967 0.69 1968 0.852 1969 0.897 1970 0.802 1971 0.782 1972 0.699 1973 0.973 1974 0.968 1975 0.995 1976 0.846 1977 0.764 1978 0.77 1979 0.724 1980 0.855 1981 0.801 1982 0.98 1983 1.303 1984 0.881 1985 0.86 1986 0.739 1987 0.906 1988 0.991 1989 0.948 1990 1.01 1991 0.85 1992 0.946 1993 0.966 1994 0.671 1995 0.989