# northamerica_usa_ak042 - Twelvemile Summit below treeline - 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/3894 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak042 - Twelvemile Summit below treeline - 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: Twelvemile Summit below treeline # Location: # Country: United States # Northernmost_Latitude: 65.37 # Southernmost_Latitude: 65.37 # Easternmost_Longitude: -145.93 # Westernmost_Longitude: -145.93 # Elevation: 945 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak042B # Earliest_Year: 1828 # Most_Recent_Year: 1996 # 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":"5.86714904614","T2":"17.9906288996","M1":"0.0229525330449","M2":"0.287018387221"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1828 1.025 1829 0.831 1830 0.799 1831 0.607 1832 0.972 1833 0.59 1834 0.564 1835 0.293 1836 0.429 1837 0.457 1838 0.63 1839 0.669 1840 0.793 1841 0.747 1842 0.866 1843 0.763 1844 0.92 1845 0.629 1846 0.807 1847 0.637 1848 0.909 1849 0.665 1850 0.487 1851 0.512 1852 0.63 1853 0.976 1854 0.957 1855 0.872 1856 0.827 1857 1.133 1858 0.946 1859 1.03 1860 0.856 1861 1.081 1862 1.078 1863 1.095 1864 1.054 1865 1.178 1866 1.271 1867 1.237 1868 0.907 1869 0.91 1870 0.908 1871 0.83 1872 0.702 1873 0.864 1874 0.808 1875 0.98 1876 1.049 1877 0.973 1878 0.863 1879 0.963 1880 0.985 1881 1.103 1882 0.644 1883 0.513 1884 0.505 1885 0.623 1886 0.71 1887 0.641 1888 0.755 1889 0.818 1890 0.915 1891 0.905 1892 0.566 1893 0.662 1894 0.749 1895 1.106 1896 1.037 1897 1.221 1898 0.979 1899 0.842 1900 1.106 1901 1.291 1902 1.411 1903 1.424 1904 1.154 1905 1.133 1906 1.85 1907 1.594 1908 1.865 1909 1.826 1910 1.586 1911 1.762 1912 0.965 1913 1.467 1914 1.25 1915 1.3 1916 1.097 1917 1.138 1918 1.592 1919 0.774 1920 1.174 1921 1.039 1922 0.692 1923 1.301 1924 0.754 1925 0.853 1926 0.906 1927 0.839 1928 0.83 1929 1.379 1930 1.212 1931 1.039 1932 1.183 1933 1.131 1934 1.428 1935 1.872 1936 1.603 1937 1.383 1938 1.335 1939 1.461 1940 0.952 1941 1.261 1942 1.47 1943 1.593 1944 1.576 1945 1.268 1946 1.585 1947 1.052 1948 1.324 1949 0.789 1950 1.202 1951 0.821 1952 1.102 1953 0.955 1954 0.85 1955 0.951 1956 0.901 1957 0.997 1958 0.889 1959 0.946 1960 1.436 1961 1.363 1962 1.445 1963 0.95 1964 1.333 1965 1.173 1966 1.401 1967 1.319 1968 1.172 1969 0.879 1970 0.637 1971 1.236 1972 0.958 1973 0.686 1974 0.89 1975 0.884 1976 0.748 1977 0.757 1978 0.662 1979 0.703 1980 0.944 1981 0.694 1982 1.053 1983 1.001 1984 0.752 1985 0.81 1986 0.739 1987 0.525 1988 0.487 1989 0.619 1990 0.603 1991 0.577 1992 0.614 1993 0.341 1994 0.391 1995 0.467 1996 0.49