# northamerica_usa_ga009 - Moody Tract - 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/4901 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ga009 - Moody Tract - 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: Moody Tract # Location: # Country: United States # Northernmost_Latitude: 31.93 # Southernmost_Latitude: 31.93 # Easternmost_Longitude: -82.32 # Westernmost_Longitude: -82.32 # Elevation: 24 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ga009B # Earliest_Year: 1851 # Most_Recent_Year: 1992 # 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":"3.92057784988","T2":"18.7379125649","M1":"0.0228018045245","M2":"0.577437169335"}} #-------------------- # Species # Species_Name: overcup oak # Species_Code: QULY #-------------------- # 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 1851 0.974 1852 1.323 1853 0.964 1854 0.912 1855 0.708 1856 0.662 1857 1.028 1858 1.021 1859 1.021 1860 0.783 1861 0.703 1862 1.001 1863 1.205 1864 0.656 1865 0.786 1866 0.865 1867 0.794 1868 0.824 1869 0.642 1870 0.521 1871 1.173 1872 0.586 1873 1.13 1874 1.16 1875 0.746 1876 0.553 1877 0.761 1878 0.531 1879 0.56 1880 0.668 1881 0.737 1882 1.063 1883 0.959 1884 1.273 1885 0.604 1886 1.33 1887 0.754 1888 0.804 1889 0.9 1890 0.446 1891 0.58 1892 0.78 1893 0.812 1894 0.59 1895 0.83 1896 0.295 1897 0.836 1898 0.515 1899 0.473 1900 0.676 1901 0.85 1902 0.732 1903 1.013 1904 0.503 1905 0.55 1906 0.825 1907 0.8 1908 0.886 1909 0.899 1910 0.885 1911 0.407 1912 0.936 1913 0.745 1914 0.529 1915 0.748 1916 0.517 1917 1.07 1918 0.721 1919 1.167 1920 1.45 1921 0.978 1922 1.321 1923 1.229 1924 1.235 1925 0.681 1926 0.774 1927 0.565 1928 1.54 1929 1.88 1930 0.712 1931 0.82 1932 0.676 1933 0.772 1934 0.946 1935 0.596 1936 0.826 1937 1.025 1938 1.054 1939 1.216 1940 1.039 1941 0.811 1942 0.847 1943 1.124 1944 1.135 1945 1.422 1946 1.146 1947 1.023 1948 0.959 1949 1.263 1950 0.929 1951 0.729 1952 0.755 1953 1.136 1954 0.715 1955 0.452 1956 1.104 1957 1.431 1958 1.154 1959 0.968 1960 1.108 1961 1.453 1962 1.106 1963 1.448 1964 1.195 1965 1.432 1966 1.531 1967 1.263 1968 1.351 1969 1.541 1970 1.423 1971 1.862 1972 1.078 1973 1.769 1974 1.254 1975 1.507 1976 1.314 1977 1.037 1978 1.137 1979 1.265 1980 1.019 1981 0.669 1982 0.925 1983 0.891 1984 1.128 1985 0.62 1986 0.514 1987 0.61 1988 0.77 1989 0.589 1990 0.734 1991 0.871 1992 0.664