# northamerica_usa_ca611 - Fry Creek Palomar Mt. - 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/3944 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca611 - Fry Creek Palomar Mt. - 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: Fry Creek Palomar Mt. # Location: # Country: United States # Northernmost_Latitude: 33.35 # Southernmost_Latitude: 33.35 # Easternmost_Longitude: -116.85 # Westernmost_Longitude: -116.85 # Elevation: 1524 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca611B # Earliest_Year: 1786 # Most_Recent_Year: 1992 # 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":"3.72695116418","T2":"15.8041031073","M1":"0.0225979087508","M2":"0.459410288704"}} #-------------------- # 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 1786 1.035 1787 1.171 1788 0.751 1789 0.583 1790 0.739 1791 1.401 1792 1.341 1793 1.545 1794 0.808 1795 0.771 1796 0.598 1797 1.082 1798 0.829 1799 0.937 1800 0.948 1801 0.921 1802 1.165 1803 1.149 1804 1.292 1805 1.51 1806 1.095 1807 0.779 1808 0.871 1809 0.846 1810 1.134 1811 1.104 1812 0.722 1813 0.626 1814 0.939 1815 1.092 1816 1.389 1817 1.039 1818 1.448 1819 1.219 1820 0.845 1821 0.806 1822 0.677 1823 0.528 1824 0.441 1825 0.796 1826 1.387 1827 1.088 1828 1.206 1829 0.786 1830 1.215 1831 1.268 1832 1.742 1833 1.386 1834 0.775 1835 0.803 1836 1.201 1837 1.421 1838 0.962 1839 1.012 1840 1.091 1841 0.684 1842 0.818 1843 0.981 1844 0.972 1845 0.683 1846 0.907 1847 0.912 1848 0.866 1849 0.612 1850 0.8 1851 1.05 1852 1.044 1853 1.782 1854 1.239 1855 1.29 1856 0.775 1857 0.577 1858 0.981 1859 0.847 1860 0.842 1861 0.652 1862 0.951 1863 0.63 1864 0.553 1865 0.658 1866 0.843 1867 0.798 1868 1.195 1869 1.072 1870 0.876 1871 0.872 1872 0.892 1873 0.659 1874 0.638 1875 0.688 1876 0.767 1877 0.644 1878 0.822 1879 0.638 1880 0.636 1881 0.905 1882 1.017 1883 0.991 1884 1.23 1885 1.285 1886 1.2 1887 1.041 1888 0.981 1889 1.005 1890 1.218 1891 1.988 1892 1.888 1893 1.275 1894 0.968 1895 0.837 1896 0.944 1897 0.513 1898 0.616 1899 0.583 1900 0.726 1901 1.043 1902 1.034 1903 1.067 1904 0.788 1905 1.003 1906 1.58 1907 1.253 1908 1.29 1909 1.247 1910 1.199 1911 0.823 1912 1.044 1913 1.079 1914 1.174 1915 1.214 1916 1.437 1917 1.454 1918 0.914 1919 0.706 1920 1.265 1921 1.398 1922 1.488 1923 1.33 1924 1.123 1925 1.132 1926 0.904 1927 1.259 1928 1.054 1929 0.838 1930 0.839 1931 1.025 1932 0.88 1933 1.06 1934 0.484 1935 0.698 1936 0.897 1937 1.06 1938 1.21 1939 1.037 1940 1.006 1941 1.079 1942 1.07 1943 1.14 1944 0.979 1945 1.133 1946 1.225 1947 1.183 1948 0.788 1949 0.434 1950 0.649 1951 0.525 1952 0.669 1953 0.749 1954 0.855 1955 0.797 1956 0.777 1957 0.874 1958 1.432 1959 0.618 1960 0.648 1961 0.108 1962 0.751 1963 0.488 1964 0.92 1965 0.964 1966 0.632 1967 1.101 1968 0.908 1969 0.952 1970 0.934 1971 0.83 1972 0.56 1973 0.713 1974 0.809 1975 0.802 1976 0.874 1977 1.153 1978 0.974 1979 0.917 1980 1.382 1981 1.042 1982 0.967 1983 2.022 1984 1.41 1985 1.239 1986 1.28 1987 1.257 1988 1.376 1989 1.162 1990 0.727 1991 0.868 1992 0.952