# northamerica_usa_ak24 - Brassiere Hill Taku Inlet Juneau Area B - 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/3647 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak24 - Brassiere Hill Taku Inlet Juneau Area B - 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: Brassiere Hill Taku Inlet Juneau Area B # Location: # Country: United States # Northernmost_Latitude: 58.47 # Southernmost_Latitude: 58.47 # Easternmost_Longitude: -134.02 # Westernmost_Longitude: -134.02 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak24B # Earliest_Year: 1811 # Most_Recent_Year: 1987 # 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":"5.14825998048","T2":"13.9888665335","M1":"0.0226651706471","M2":"0.489744964437"}} #-------------------- # 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 1811 1.019 1812 1.026 1813 0.983 1814 1.239 1815 1.288 1816 1.199 1817 0.752 1818 0.861 1819 0.844 1820 0.957 1821 1.064 1822 1.106 1823 0.935 1824 0.91 1825 0.772 1826 0.941 1827 0.913 1828 1.072 1829 1.095 1830 1.051 1831 0.932 1832 1.215 1833 0.998 1834 0.864 1835 1.019 1836 0.965 1837 1.026 1838 1.143 1839 1.232 1840 1.143 1841 1.014 1842 1.053 1843 1.189 1844 1.297 1845 1.216 1846 1.145 1847 1.059 1848 1.011 1849 1.11 1850 1.162 1851 1.12 1852 1.17 1853 1.056 1854 0.994 1855 0.804 1856 0.804 1857 1.052 1858 0.974 1859 0.941 1860 0.904 1861 0.917 1862 0.794 1863 0.819 1864 0.87 1865 0.753 1866 0.866 1867 0.947 1868 0.887 1869 0.76 1870 0.969 1871 0.943 1872 1.092 1873 1.029 1874 0.895 1875 0.721 1876 0.414 1877 0.458 1878 0.715 1879 1.262 1880 1.144 1881 0.912 1882 0.741 1883 0.838 1884 0.906 1885 0.755 1886 1.084 1887 0.81 1888 0.881 1889 0.678 1890 0.879 1891 1.028 1892 0.913 1893 0.98 1894 1.028 1895 1.073 1896 1.066 1897 0.915 1898 0.876 1899 1.195 1900 1.06 1901 0.925 1902 1.083 1903 0.893 1904 0.596 1905 0.753 1906 0.825 1907 0.961 1908 0.789 1909 0.741 1910 0.82 1911 0.983 1912 1.22 1913 1.394 1914 1.18 1915 0.877 1916 0.89 1917 1.087 1918 1.156 1919 1.009 1920 1.129 1921 1.146 1922 0.748 1923 1.02 1924 1.028 1925 1.106 1926 1.214 1927 1.235 1928 1.072 1929 1.258 1930 1.084 1931 1.188 1932 1.104 1933 1.172 1934 0.99 1935 0.688 1936 0.677 1937 0.715 1938 0.905 1939 0.982 1940 1.248 1941 1.365 1942 1.408 1943 1.502 1944 1.378 1945 1.216 1946 1.354 1947 1.293 1948 1.284 1949 1.165 1950 1.281 1951 0.875 1952 0.753 1953 0.804 1954 0.49 1955 0.54 1956 0.687 1957 0.854 1958 1.011 1959 1.105 1960 0.938 1961 0.861 1962 1.03 1963 1.316 1964 1.32 1965 1.641 1966 1.439 1967 1.437 1968 1.516 1969 1.1 1970 0.761 1971 0.937 1972 0.846 1973 0.773 1974 0.8 1975 0.913 1976 0.723 1977 0.967 1978 0.727 1979 0.785 1980 0.999 1981 0.976 1982 1.252 1983 1.159 1984 0.911 1985 0.776 1986 1.003 1987 0.229