# northamerica_usa_ca543 - San Bernardino Mountains H - 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/4180 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca543 - San Bernardino Mountains H - 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 H # Location: # Country: United States # Northernmost_Latitude: 34.12 # Southernmost_Latitude: 34.12 # Easternmost_Longitude: -116.98 # Westernmost_Longitude: -116.98 # Elevation: 1600 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca543B # Earliest_Year: 1825 # 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":"4.43499308511","T2":"16.7863218621","M1":"0.0231845931849","M2":"0.463914960224"}} #-------------------- # 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 1825 0.876 1826 0.983 1827 0.98 1828 1.174 1829 0.483 1830 1.12 1831 1.103 1832 0.986 1833 1.074 1834 0.833 1835 0.857 1836 1.111 1837 1.201 1838 1.202 1839 1.212 1840 1.189 1841 0.24 1842 0.699 1843 0.46 1844 0.793 1845 0.56 1846 0.948 1847 0.693 1848 0.724 1849 0.625 1850 1.076 1851 0.83 1852 1.064 1853 1.343 1854 1.412 1855 1.466 1856 0.817 1857 0.148 1858 0.85 1859 0.918 1860 0.685 1861 0.846 1862 1.07 1863 0.604 1864 0.707 1865 0.956 1866 1.295 1867 1.113 1868 1.704 1869 1.403 1870 0.923 1871 1.157 1872 0.866 1873 0.978 1874 1.175 1875 0.807 1876 1.022 1877 0.803 1878 1.124 1879 0.194 1880 1.002 1881 0.874 1882 0.728 1883 0.785 1884 1.371 1885 1.122 1886 1.542 1887 1.285 1888 1.534 1889 1.235 1890 1.546 1891 1.897 1892 1.321 1893 1.205 1894 1.032 1895 1.107 1896 0.505 1897 0.906 1898 0.659 1899 0.339 1900 0.961 1901 1.242 1902 1.075 1903 1.199 1904 0.866 1905 1.131 1906 1.673 1907 1.495 1908 1.881 1909 1.604 1910 0.944 1911 0.847 1912 0.836 1913 0.697 1914 1.219 1915 1.081 1916 1.311 1917 1.363 1918 0.885 1919 0.727 1920 1.317 1921 1.16 1922 1.217 1923 1.108 1924 1.109 1925 0.785 1926 0.983 1927 0.895 1928 0.554 1929 1.198 1930 0.744 1931 1.002 1932 1.036 1933 0.576 1934 0.39 1935 0.939 1936 0.706 1937 1.265 1938 1.553 1939 1.274 1940 1.51 1941 1.477 1942 1.074 1943 1.246 1944 1.247 1945 1.513 1946 1.303 1947 1.064 1948 0.628 1949 0.472 1950 0.565 1951 0.257 1952 0.714 1953 0.835 1954 0.79 1955 0.792 1956 0.946 1957 0.729 1958 1.19 1959 0.405 1960 0.579 1961 -0.017 1962 0.474 1963 0.363 1964 1.174 1965 0.95 1966 0.804 1967 0.81 1968 0.653 1969 0.583 1970 0.614 1971 0.471 1972 0.092 1973 0.741 1974 0.637 1975 0.85 1976 0.534 1977 0.934 1978 1.024 1979 1.195 1980 1.404 1981 0.703 1982 1.386 1983 1.706 1984 0.992 1985 1.643 1986 1.72 1987 1.019 1988 0.968