# northamerica_usa_wa119 - Mount Dana 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/4158 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa119 - Mount Dana 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 Dana Low # Location: # Country: United States # Northernmost_Latitude: 47.85 # Southernmost_Latitude: 47.85 # Easternmost_Longitude: -123.48 # Westernmost_Longitude: -123.48 # Elevation: 1540 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa119B # Earliest_Year: 1850 # Most_Recent_Year: 1990 # 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":"6.32782963954","T2":"18.1603627346","M1":"0.02286933275","M2":"0.343048085134"}} #-------------------- # 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 0.77 1851 1.117 1852 0.84 1853 0.767 1854 0.906 1855 1.037 1856 0.87 1857 0.922 1858 1.022 1859 1.085 1860 1.227 1861 0.781 1862 1.026 1863 1.435 1864 0.886 1865 1.304 1866 0.932 1867 0.845 1868 1.033 1869 0.848 1870 0.701 1871 0.69 1872 0.907 1873 0.948 1874 0.923 1875 1.049 1876 0.5 1877 0.766 1878 0.838 1879 0.985 1880 0.589 1881 0.712 1882 0.894 1883 0.871 1884 0.78 1885 0.512 1886 1.21 1887 0.741 1888 0.718 1889 0.832 1890 0.918 1891 1.149 1892 1.071 1893 1.096 1894 1.032 1895 1.09 1896 0.847 1897 0.936 1898 1.086 1899 0.75 1900 0.887 1901 1.103 1902 0.983 1903 0.886 1904 1.27 1905 1.013 1906 0.877 1907 1.238 1908 1.168 1909 0.78 1910 1.158 1911 1.335 1912 1.224 1913 1.195 1914 1.24 1915 1.075 1916 0.616 1917 0.934 1918 0.996 1919 0.941 1920 0.906 1921 0.686 1922 1.026 1923 1.051 1924 0.952 1925 1.057 1926 0.991 1927 1.031 1928 1.353 1929 1.373 1930 1.342 1931 1.209 1932 1.079 1933 1.309 1934 0.809 1935 1.468 1936 1.07 1937 1.086 1938 1.119 1939 1.068 1940 1.191 1941 1.32 1942 1.363 1943 1.169 1944 1.531 1945 1.4 1946 1.024 1947 1.299 1948 1.377 1949 1.091 1950 1.104 1951 1.157 1952 1.035 1953 0.732 1954 0.731 1955 1.303 1956 0.949 1957 1.034 1958 1.204 1959 0.889 1960 1.204 1961 0.914 1962 0.914 1963 0.967 1964 1.071 1965 1.239 1966 1.004 1967 1.111 1968 0.966 1969 0.897 1970 1.133 1971 0.8 1972 0.808 1973 0.847 1974 0.38 1975 0.856 1976 0.695 1977 0.901 1978 0.652 1979 0.872 1980 0.85 1981 0.963 1982 0.436 1983 0.545 1984 1.023 1985 0.936 1986 0.525 1987 0.75 1988 0.686 1989 0.707 1990 0.746