# northamerica_usa_ak041 - Nome Creek 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/3893 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak041 - Nome Creek 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: Nome Creek treeline # Location: # Country: United States # Northernmost_Latitude: 65.37 # Southernmost_Latitude: 65.37 # Easternmost_Longitude: -146.62 # Westernmost_Longitude: -146.62 # Elevation: 884 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak041B # Earliest_Year: 1810 # Most_Recent_Year: 1997 # 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":"7.06357534574","T2":"19.3839714179","M1":"0.0220867662173","M2":"0.235913531304"}} #-------------------- # 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 1810 0.926 1811 0.82 1812 0.837 1813 0.676 1814 0.447 1815 0.366 1816 0.353 1817 0.533 1818 0.619 1819 0.62 1820 0.712 1821 0.625 1822 0.644 1823 0.853 1824 0.787 1825 0.821 1826 1.007 1827 0.966 1828 1.296 1829 1.384 1830 1.639 1831 1.4 1832 1.419 1833 0.981 1834 0.881 1835 0.568 1836 0.787 1837 0.832 1838 1.241 1839 1.241 1840 1.244 1841 1.209 1842 1.255 1843 1.037 1844 1.181 1845 0.969 1846 1.451 1847 1.118 1848 1.135 1849 0.72 1850 0.699 1851 0.867 1852 1.047 1853 1.666 1854 1.657 1855 1.359 1856 0.923 1857 1.266 1858 0.894 1859 1.045 1860 0.944 1861 1.032 1862 1.086 1863 1.137 1864 1.008 1865 1.356 1866 1.053 1867 1.13 1868 0.958 1869 1.044 1870 1.128 1871 1.023 1872 0.857 1873 1.191 1874 1.033 1875 1.09 1876 0.888 1877 0.97 1878 0.951 1879 1.116 1880 0.831 1881 1.049 1882 1.113 1883 0.984 1884 1.05 1885 0.999 1886 1.16 1887 0.799 1888 0.61 1889 0.66 1890 0.804 1891 0.808 1892 0.716 1893 0.655 1894 0.649 1895 0.783 1896 0.821 1897 0.905 1898 0.752 1899 0.679 1900 0.7 1901 0.662 1902 0.717 1903 0.836 1904 0.671 1905 0.713 1906 0.934 1907 0.85 1908 1.214 1909 1.125 1910 0.915 1911 1.1 1912 0.545 1913 1.062 1914 1.067 1915 1.17 1916 0.741 1917 1.098 1918 1.259 1919 0.538 1920 0.877 1921 0.825 1922 0.532 1923 1.146 1924 0.495 1925 0.82 1926 1.115 1927 1.148 1928 0.878 1929 1.182 1930 1.094 1931 0.973 1932 1.237 1933 1.13 1934 1.49 1935 1.705 1936 1.577 1937 1.134 1938 0.922 1939 1.278 1940 0.717 1941 1.268 1942 1.143 1943 1.105 1944 0.959 1945 1.031 1946 1.427 1947 1.114 1948 1.107 1949 0.595 1950 1.15 1951 0.816 1952 1.219 1953 1.192 1954 1.104 1955 1.075 1956 0.888 1957 0.777 1958 0.833 1959 0.841 1960 1.21 1961 1.108 1962 1.159 1963 0.722 1964 1.195 1965 1.039 1966 1.111 1967 1.071 1968 0.934 1969 0.646 1970 0.446 1971 1.055 1972 0.64 1973 0.475 1974 0.725 1975 0.811 1976 0.879 1977 0.865 1978 0.67 1979 0.972 1980 1.043 1981 0.963 1982 1.395 1983 1.075 1984 1.027 1985 0.982 1986 0.9 1987 0.753 1988 0.626 1989 0.811 1990 0.825 1991 0.696 1992 0.77 1993 0.441 1994 0.608 1995 0.797 1996 0.936 1997 0.965