# northamerica_usa_or053 - Skookum Butte - 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/4783 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or053 - Skookum Butte - 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: Skookum Butte # Location: # Country: United States # Northernmost_Latitude: 43.23 # Southernmost_Latitude: 43.23 # Easternmost_Longitude: -121.65 # Westernmost_Longitude: -121.65 # Elevation: 1670 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or053B # Earliest_Year: 1845 # Most_Recent_Year: 1995 # 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":"3.22196011749","T2":"14.8516110008","M1":"0.0229976392689","M2":"0.474905562248"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 0.133 1846 0.525 1847 0.639 1848 0.72 1849 0.867 1850 1.301 1851 1.318 1852 1.048 1853 1.203 1854 1.315 1855 1.363 1856 1.076 1857 1.115 1858 1.254 1859 1.037 1860 1.233 1861 1.16 1862 1.21 1863 1.239 1864 0.971 1865 1.15 1866 1.308 1867 1.085 1868 1.061 1869 1.019 1870 1.06 1871 1.016 1872 0.932 1873 1.144 1874 1.185 1875 1.21 1876 1.105 1877 1.205 1878 1.068 1879 1.024 1880 0.895 1881 1.28 1882 1.18 1883 0.999 1884 1.034 1885 1.139 1886 0.936 1887 1.008 1888 1.097 1889 1.1 1890 0.793 1891 0.956 1892 0.961 1893 0.986 1894 1.2 1895 1.204 1896 1.068 1897 1.213 1898 1.166 1899 0.917 1900 1.36 1901 1.347 1902 1.162 1903 1.223 1904 1.151 1905 1.287 1906 1.134 1907 1.213 1908 1.258 1909 1.124 1910 1.043 1911 1.138 1912 1.159 1913 1.289 1914 1.257 1915 1.295 1916 1.166 1917 0.923 1918 1.121 1919 1.111 1920 0.886 1921 1.03 1922 0.79 1923 1.014 1924 0.838 1925 0.872 1926 0.951 1927 0.92 1928 0.892 1929 0.745 1930 0.845 1931 0.851 1932 0.857 1933 0.761 1934 0.985 1935 0.694 1936 0.885 1937 0.813 1938 0.854 1939 0.874 1940 0.784 1941 0.858 1942 0.906 1943 0.919 1944 1.05 1945 0.966 1946 0.953 1947 1.052 1948 0.79 1949 0.79 1950 0.718 1951 0.774 1952 0.693 1953 0.746 1954 0.976 1955 0.953 1956 0.855 1957 0.879 1958 0.903 1959 1.017 1960 1.105 1961 0.856 1962 0.801 1963 0.967 1964 0.789 1965 0.659 1966 0.693 1967 0.488 1968 0.35 1969 0.278 1970 0.359 1971 0.409 1972 0.377 1973 0.417 1974 0.482 1975 0.632 1976 0.892 1977 0.892 1978 0.979 1979 0.983 1980 1.071 1981 1.138 1982 1.099 1983 1.337 1984 1.409 1985 1.227 1986 1.412 1987 1.184 1988 1.307 1989 1.374 1990 1.371 1991 1.084 1992 1.191 1993 1.281 1994 1.187 1995 1.376