# northamerica_usa_ca550 - San Bernardino Mountains O - 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/4187 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca550 - San Bernardino Mountains O - 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 O # Location: # Country: United States # Northernmost_Latitude: 34.22 # Southernmost_Latitude: 34.22 # Easternmost_Longitude: -117.22 # Westernmost_Longitude: -117.22 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca550B # Earliest_Year: 1822 # 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":"3.511470041","T2":"15.3369585456","M1":"0.0233190984482","M2":"0.465641314761"}} #-------------------- # 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 1822 0.641 1823 0.699 1824 0.571 1825 0.718 1826 0.646 1827 0.746 1828 0.795 1829 0.518 1830 0.719 1831 0.71 1832 0.878 1833 0.876 1834 0.691 1835 0.911 1836 1.289 1837 1.515 1838 1.456 1839 1.303 1840 1.106 1841 0.701 1842 0.834 1843 1.058 1844 0.951 1845 0.569 1846 0.956 1847 0.713 1848 0.755 1849 0.671 1850 0.775 1851 1.124 1852 1.005 1853 1.478 1854 0.924 1855 1.155 1856 0.896 1857 0.441 1858 1.11 1859 1.341 1860 1.056 1861 0.652 1862 1.113 1863 0.432 1864 0.368 1865 0.54 1866 0.657 1867 0.387 1868 0.884 1869 0.805 1870 0.773 1871 0.666 1872 0.737 1873 0.65 1874 0.746 1875 0.365 1876 0.705 1877 0.61 1878 0.872 1879 0.711 1880 0.845 1881 1.136 1882 1.2 1883 1.036 1884 1.665 1885 1.37 1886 1.64 1887 1.242 1888 1.062 1889 0.955 1890 1.158 1891 1.784 1892 1.507 1893 1.262 1894 1.45 1895 1.004 1896 0.98 1897 0.822 1898 0.719 1899 0.652 1900 0.827 1901 1.293 1902 1.124 1903 1.203 1904 0.901 1905 1.216 1906 1.356 1907 1.085 1908 1.346 1909 1.224 1910 0.945 1911 0.868 1912 0.99 1913 1.434 1914 1.33 1915 1.463 1916 1.223 1917 1.3 1918 0.646 1919 1.039 1920 1.062 1921 1.401 1922 1.345 1923 1.411 1924 0.99 1925 1.236 1926 0.876 1927 1.078 1928 1.068 1929 1.238 1930 0.986 1931 1.108 1932 1.215 1933 1.126 1934 0.481 1935 1.247 1936 0.886 1937 1.03 1938 1.061 1939 0.987 1940 1.05 1941 1.135 1942 1.222 1943 0.854 1944 1.179 1945 1.27 1946 1.003 1947 1.108 1948 1.243 1949 0.83 1950 0.85 1951 0.621 1952 0.896 1953 0.902 1954 0.762 1955 1.126 1956 1.235 1957 0.872 1958 0.984 1959 0.54 1960 0.442 1961 0.143 1962 0.361 1963 0.253 1964 0.849 1965 0.881 1966 1.043 1967 1.047 1968 0.783 1969 0.721 1970 0.654 1971 0.52 1972 0.261 1973 0.464 1974 0.513 1975 0.69 1976 0.572 1977 1.072 1978 0.712 1979 0.845 1980 1.052 1981 0.795 1982 1.005 1983 1.514 1984 0.969 1985 1.092 1986 1.225 1987 1.026 1988 1.102