# northamerica_usa_wa112 - Mount Rainier High - 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/4167 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa112 - Mount Rainier High - 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 High # Location: # Country: United States # Northernmost_Latitude: 46.83 # Southernmost_Latitude: 46.83 # Easternmost_Longitude: -121.75 # Westernmost_Longitude: -121.75 # Elevation: 1830 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa112B # Earliest_Year: 1850 # 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":"5.23048496576","T2":"19.4846405385","M1":"0.0223519310122","M2":"0.331209570389"}} #-------------------- # 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 1850 0.726 1851 0.932 1852 0.942 1853 0.666 1854 0.626 1855 1.185 1856 0.823 1857 0.831 1858 0.736 1859 0.833 1860 0.899 1861 0.887 1862 0.889 1863 1.246 1864 0.891 1865 1.189 1866 0.768 1867 0.677 1868 0.785 1869 0.926 1870 0.944 1871 1.005 1872 1.055 1873 0.973 1874 1.181 1875 0.98 1876 0.584 1877 1.049 1878 0.684 1879 1.027 1880 0.66 1881 0.611 1882 0.81 1883 0.786 1884 0.763 1885 0.973 1886 0.78 1887 0.955 1888 1.009 1889 1.124 1890 0.906 1891 0.971 1892 0.925 1893 0.745 1894 0.893 1895 0.923 1896 0.907 1897 1.063 1898 1.283 1899 0.624 1900 1.426 1901 1.483 1902 0.952 1903 1.053 1904 1.293 1905 1.055 1906 1.074 1907 1.139 1908 1.083 1909 1.037 1910 0.769 1911 1.119 1912 1.038 1913 1.005 1914 1.13 1915 1.076 1916 0.771 1917 1.206 1918 1.06 1919 0.956 1920 1.016 1921 0.857 1922 1.14 1923 0.977 1924 0.868 1925 1.062 1926 1.045 1927 0.98 1928 0.945 1929 1.224 1930 1.374 1931 1.403 1932 1.385 1933 1.448 1934 1.021 1935 1.121 1936 0.976 1937 1.21 1938 1.368 1939 1.26 1940 1.65 1941 1.524 1942 1.186 1943 1.107 1944 1.542 1945 1.646 1946 1.192 1947 0.925 1948 1.644 1949 1.253 1950 1.31 1951 0.891 1952 0.871 1953 0.79 1954 0.74 1955 1.044 1956 0.733 1957 0.7 1958 1.12 1959 0.558 1960 0.846 1961 0.766 1962 0.661 1963 1.011 1964 0.906 1965 0.955 1966 1.232 1967 1.232 1968 0.897 1969 0.882 1970 0.994 1971 0.85 1972 0.555 1973 0.529 1974 0.453 1975 0.602 1976 0.571 1977 1.068 1978 0.479 1979 0.818 1980 0.591 1981 0.831 1982 0.44 1983 0.554 1984 0.776 1985 1.061 1986 0.927 1987 1.135 1988 1.059 1989 0.805 1990 1.105 1991 0.371 1992 0.554