# northamerica_usa_ak017 - Grewingk Glacier - 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/5242 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak017 - Grewingk Glacier - 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: Grewingk Glacier # Location: # Country: United States # Northernmost_Latitude: 59.62 # Southernmost_Latitude: 59.62 # Easternmost_Longitude: -151.15 # Westernmost_Longitude: -151.15 # Elevation: 20 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak017B # Earliest_Year: 1785 # Most_Recent_Year: 1988 # 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":"4.18436751857","T2":"14.8711341508","M1":"0.0228903084209","M2":"0.508176690037"}} #-------------------- # Species # Species_Name: Sitka spruce # Species_Code: PCSI #-------------------- # 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 1785 1.278 1786 1.186 1787 0.958 1788 0.718 1789 0.596 1790 0.652 1791 0.497 1792 0.695 1793 0.76 1794 1.175 1795 1.315 1796 1.381 1797 1.354 1798 1.001 1799 1.037 1800 0.907 1801 1.237 1802 1.348 1803 1.365 1804 0.82 1805 0.685 1806 1.052 1807 1.107 1808 1.031 1809 0.936 1810 0.859 1811 0.724 1812 0.671 1813 0.611 1814 0.808 1815 1.056 1816 0.971 1817 0.948 1818 0.814 1819 0.955 1820 1.005 1821 0.672 1822 1.032 1823 1.018 1824 1.24 1825 1.044 1826 0.949 1827 0.946 1828 0.761 1829 1.005 1830 0.738 1831 0.98 1832 1.288 1833 0.88 1834 0.939 1835 1.163 1836 1.199 1837 0.883 1838 1.042 1839 1.167 1840 1.0 1841 1.067 1842 0.719 1843 0.838 1844 1.207 1845 1.33 1846 1.449 1847 1.324 1848 0.802 1849 0.646 1850 0.552 1851 0.462 1852 0.584 1853 0.607 1854 0.651 1855 0.623 1856 0.441 1857 0.579 1858 0.551 1859 0.709 1860 0.714 1861 0.66 1862 0.524 1863 0.731 1864 0.701 1865 0.782 1866 0.701 1867 0.849 1868 0.585 1869 0.493 1870 0.594 1871 0.459 1872 0.594 1873 0.542 1874 0.692 1875 0.8 1876 0.701 1877 0.822 1878 0.853 1879 0.804 1880 1.121 1881 1.534 1882 1.213 1883 1.654 1884 1.757 1885 1.287 1886 1.308 1887 1.237 1888 1.492 1889 0.957 1890 1.511 1891 1.555 1892 1.364 1893 1.632 1894 1.281 1895 0.98 1896 0.9 1897 0.913 1898 0.69 1899 0.984 1900 1.059 1901 0.956 1902 1.044 1903 0.784 1904 0.914 1905 0.942 1906 0.768 1907 0.951 1908 1.051 1909 0.986 1910 0.957 1911 0.98 1912 0.838 1913 0.796 1914 0.819 1915 1.031 1916 0.769 1917 0.999 1918 1.064 1919 1.055 1920 1.178 1921 0.888 1922 0.777 1923 0.831 1924 0.857 1925 0.857 1926 0.885 1927 0.811 1928 1.005 1929 1.042 1930 1.127 1931 0.969 1932 1.161 1933 1.339 1934 1.23 1935 1.161 1936 1.169 1937 1.067 1938 1.209 1939 1.25 1940 1.559 1941 1.548 1942 1.317 1943 1.449 1944 1.49 1945 1.28 1946 1.436 1947 1.629 1948 1.403 1949 1.453 1950 1.358 1951 1.211 1952 1.009 1953 1.093 1954 0.828 1955 0.774 1956 0.767 1957 0.905 1958 0.828 1959 1.024 1960 1.027 1961 1.116 1962 1.174 1963 1.034 1964 1.171 1965 0.971 1966 0.964 1967 0.85 1968 0.854 1969 0.78 1970 0.768 1971 0.851 1972 0.656 1973 0.568 1974 0.652 1975 0.59 1976 0.811 1977 0.736 1978 0.59 1979 0.945 1980 0.882 1981 1.132 1982 0.901 1983 0.897 1984 0.843 1985 0.883 1986 0.882 1987 0.841 1988 1.014