# northamerica_usa_ca551 - San Bernardino Mountains P - 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/4188 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca551 - San Bernardino Mountains P - 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: San Bernardino Mountains P # Location: # Country: United States # Northernmost_Latitude: 34.22 # Southernmost_Latitude: 34.22 # Easternmost_Longitude: -117.27 # Westernmost_Longitude: -117.27 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca551B # Earliest_Year: 1856 # Most_Recent_Year: 1988 # 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":"3.95071282075","T2":"14.7906090243","M1":"0.0227915174892","M2":"0.508545581053"}} #-------------------- # Species # Species_Name: bigcone Douglas fir # Species_Code: PSMA #-------------------- # 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 1856 0.942 1857 0.901 1858 0.783 1859 0.939 1860 0.982 1861 0.793 1862 1.098 1863 0.861 1864 0.654 1865 0.773 1866 1.113 1867 0.98 1868 1.277 1869 1.182 1870 0.944 1871 1.153 1872 1.057 1873 0.993 1874 0.834 1875 0.798 1876 0.824 1877 0.718 1878 1.036 1879 0.836 1880 0.869 1881 0.987 1882 1.136 1883 0.927 1884 1.382 1885 1.156 1886 1.303 1887 0.885 1888 0.751 1889 0.677 1890 0.904 1891 1.195 1892 0.924 1893 0.758 1894 0.922 1895 0.723 1896 0.815 1897 0.702 1898 0.825 1899 0.829 1900 0.993 1901 1.412 1902 1.094 1903 0.989 1904 0.92 1905 1.184 1906 1.337 1907 1.289 1908 1.221 1909 1.266 1910 0.982 1911 0.872 1912 1.1 1913 1.246 1914 1.404 1915 1.4 1916 1.444 1917 1.159 1918 0.671 1919 0.938 1920 1.06 1921 1.042 1922 0.851 1923 0.775 1924 0.796 1925 0.979 1926 0.992 1927 0.994 1928 0.992 1929 0.912 1930 0.705 1931 0.992 1932 1.113 1933 0.647 1934 0.445 1935 1.057 1936 0.819 1937 0.846 1938 1.109 1939 1.044 1940 1.09 1941 1.441 1942 1.411 1943 1.449 1944 1.373 1945 1.093 1946 1.181 1947 1.141 1948 1.274 1949 0.719 1950 0.859 1951 0.726 1952 0.742 1953 0.918 1954 0.926 1955 1.051 1956 0.783 1957 0.816 1958 1.014 1959 0.795 1960 0.561 1961 0.751 1962 0.763 1963 0.767 1964 1.282 1965 1.254 1966 1.473 1967 1.245 1968 0.595 1969 0.573 1970 0.857 1971 0.919 1972 0.532 1973 0.62 1974 0.743 1975 0.749 1976 0.906 1977 1.204 1978 0.978 1979 1.012 1980 1.097 1981 0.813 1982 0.711 1983 1.251 1984 1.242 1985 0.781 1986 1.222 1987 0.94 1988 1.047