# northamerica_usa_wa118 - Dodger Point 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/4121 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa118 - Dodger Point 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: Dodger Point High # Location: # Country: United States # Northernmost_Latitude: 47.83 # Southernmost_Latitude: 47.83 # Easternmost_Longitude: -123.52 # Westernmost_Longitude: -123.52 # Elevation: 1725 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa118B # 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":"6.02107992133","T2":"18.1933146164","M1":"0.0224547915092","M2":"0.388705412161"}} #-------------------- # 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 0.809 1851 0.927 1852 0.788 1853 0.823 1854 0.903 1855 1.025 1856 1.012 1857 0.961 1858 0.992 1859 0.96 1860 1.255 1861 1.049 1862 1.045 1863 1.166 1864 1.093 1865 1.154 1866 1.038 1867 0.991 1868 1.094 1869 0.899 1870 0.891 1871 0.899 1872 0.985 1873 0.942 1874 0.789 1875 0.784 1876 0.597 1877 0.797 1878 0.923 1879 0.917 1880 0.791 1881 0.97 1882 1.114 1883 0.988 1884 0.958 1885 0.939 1886 1.251 1887 0.932 1888 0.94 1889 0.909 1890 1.031 1891 1.075 1892 0.944 1893 0.966 1894 1.074 1895 1.165 1896 0.913 1897 0.968 1898 1.046 1899 0.851 1900 1.067 1901 1.296 1902 1.096 1903 0.925 1904 1.23 1905 1.063 1906 1.058 1907 1.139 1908 1.005 1909 0.843 1910 1.097 1911 1.132 1912 1.098 1913 1.044 1914 1.181 1915 1.013 1916 0.724 1917 0.91 1918 0.862 1919 0.883 1920 0.839 1921 0.696 1922 0.824 1923 0.8 1924 0.757 1925 0.783 1926 0.724 1927 0.816 1928 0.946 1929 0.932 1930 0.926 1931 0.856 1932 0.843 1933 0.884 1934 0.803 1935 1.096 1936 0.967 1937 0.961 1938 1.041 1939 1.095 1940 0.972 1941 1.075 1942 1.231 1943 1.12 1944 1.345 1945 1.112 1946 0.958 1947 1.09 1948 1.122 1949 1.222 1950 1.142 1951 1.229 1952 1.118 1953 1.03 1954 1.102 1955 1.701 1956 1.206 1957 1.323 1958 1.459 1959 0.99 1960 1.15 1961 0.934 1962 0.97 1963 1.067 1964 1.109 1965 1.283 1966 1.072 1967 0.984 1968 0.885 1969 0.976 1970 1.081 1971 0.877 1972 1.014 1973 1.084 1974 0.682 1975 0.829 1976 0.818 1977 1.027 1978 0.724 1979 0.863 1980 0.868 1981 0.956 1982 0.639 1983 0.744 1984 0.963 1985 0.957 1986 0.678 1987 0.906 1988 0.83 1989 0.802 1990 1.009