# northamerica_usa_wa110 - Mount Rainier Low - 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/4169 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa110 - Mount Rainier Low - 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: Mount Rainier Low # Location: # Country: United States # Northernmost_Latitude: 46.83 # Southernmost_Latitude: 46.83 # Easternmost_Longitude: -121.75 # Westernmost_Longitude: -121.75 # Elevation: 1425 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa110B # Earliest_Year: 1837 # Most_Recent_Year: 1992 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.48702687731","T2":"18.6533070429","M1":"0.0227226557543","M2":"0.349061092748"}} #-------------------- # Species # Species_Name: subalpine fir # Species_Code: ABLA #-------------------- # 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 1837 1.04 1838 0.947 1839 1.049 1840 0.855 1841 0.972 1842 0.985 1843 1.003 1844 0.927 1845 0.904 1846 1.075 1847 0.931 1848 1.075 1849 0.929 1850 0.868 1851 1.147 1852 0.958 1853 1.105 1854 1.107 1855 1.143 1856 0.901 1857 0.947 1858 1.028 1859 0.931 1860 0.993 1861 1.067 1862 1.131 1863 1.161 1864 0.803 1865 0.942 1866 0.768 1867 0.748 1868 0.811 1869 0.886 1870 0.849 1871 0.892 1872 1.021 1873 0.927 1874 1.134 1875 1.03 1876 0.662 1877 1.059 1878 0.855 1879 0.932 1880 0.451 1881 0.785 1882 0.845 1883 0.852 1884 0.764 1885 0.76 1886 0.815 1887 0.516 1888 0.669 1889 0.633 1890 0.74 1891 0.768 1892 0.629 1893 0.663 1894 0.764 1895 0.963 1896 0.794 1897 0.881 1898 1.02 1899 0.616 1900 1.193 1901 1.184 1902 1.128 1903 1.073 1904 1.373 1905 1.185 1906 1.021 1907 1.203 1908 1.248 1909 0.97 1910 1.178 1911 1.191 1912 1.037 1913 1.071 1914 1.394 1915 1.136 1916 0.604 1917 0.927 1918 1.124 1919 1.147 1920 1.217 1921 0.838 1922 1.068 1923 0.891 1924 0.957 1925 0.927 1926 0.968 1927 0.77 1928 0.965 1929 0.979 1930 1.059 1931 1.027 1932 0.786 1933 1.201 1934 1.18 1935 1.259 1936 1.096 1937 1.101 1938 1.278 1939 1.221 1940 1.402 1941 1.293 1942 1.02 1943 0.878 1944 1.202 1945 1.193 1946 0.959 1947 1.17 1948 1.423 1949 1.295 1950 1.231 1951 1.186 1952 1.096 1953 0.9 1954 0.741 1955 1.006 1956 0.788 1957 1.039 1958 1.211 1959 0.807 1960 1.033 1961 0.941 1962 0.858 1963 0.892 1964 0.662 1965 0.946 1966 0.949 1967 1.03 1968 0.999 1969 0.895 1970 1.149 1971 0.895 1972 0.852 1973 1.161 1974 0.629 1975 0.952 1976 1.011 1977 1.286 1978 1.035 1979 1.008 1980 1.085 1981 1.224 1982 0.709 1983 0.726 1984 0.852 1985 0.961 1986 0.794 1987 1.008 1988 0.913 1989 0.654 1990 1.037 1991 0.664 1992 0.584