# northamerica_usa_ia033 - Stone State Park - 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/3967 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ia033 - Stone State Park - 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: Stone State Park # Location: # Country: United States # Northernmost_Latitude: 42.55 # Southernmost_Latitude: 42.55 # Easternmost_Longitude: -96.47 # Westernmost_Longitude: -96.47 # Elevation: 396 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ia033B # Earliest_Year: 1867 # 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":"4.45270076118","T2":"16.3699583116","M1":"0.0228240963986","M2":"0.533601863159"}} #-------------------- # Species # Species_Name: burr oak # Species_Code: QUMA #-------------------- # 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 1867 0.975 1868 1.133 1869 1.25 1870 1.137 1871 0.873 1872 1.121 1873 1.125 1874 0.912 1875 1.268 1876 1.164 1877 1.064 1878 0.754 1879 0.857 1880 0.834 1881 0.966 1882 1.025 1883 0.821 1884 1.025 1885 0.931 1886 0.871 1887 1.434 1888 1.313 1889 1.203 1890 1.072 1891 1.373 1892 1.333 1893 0.947 1894 0.637 1895 0.543 1896 1.17 1897 0.987 1898 1.118 1899 0.868 1900 0.792 1901 1.034 1902 1.157 1903 1.455 1904 1.195 1905 1.102 1906 1.068 1907 1.078 1908 1.033 1909 1.214 1910 0.868 1911 0.691 1912 1.061 1913 0.908 1914 0.528 1915 0.855 1916 1.023 1917 0.889 1918 0.682 1919 0.912 1920 1.066 1921 0.88 1922 0.77 1923 0.998 1924 1.239 1925 0.716 1926 0.755 1927 1.261 1928 1.168 1929 1.046 1930 0.93 1931 0.519 1932 0.952 1933 0.671 1934 0.779 1935 0.881 1936 0.6 1937 0.666 1938 0.715 1939 0.826 1940 1.111 1941 1.19 1942 0.947 1943 0.895 1944 1.135 1945 1.293 1946 0.481 1947 0.57 1948 0.665 1949 1.239 1950 1.143 1951 1.022 1952 0.887 1953 0.68 1954 0.879 1955 0.862 1956 0.826 1957 1.011 1958 0.798 1959 0.928 1960 1.195 1961 1.03 1962 1.248 1963 0.863 1964 0.863 1965 0.852 1966 0.928 1967 1.151 1968 0.859 1969 1.354 1970 1.204 1971 0.974 1972 1.162 1973 0.952 1974 0.894 1975 1.021 1976 0.77 1977 0.784 1978 1.294 1979 1.062 1980 0.698 1981 0.641 1982 1.09 1983 1.126 1984 1.142 1985 1.181 1986 1.357 1987 1.205 1988 0.963 1989 0.969 1990 1.241 1991 1.257