# australia_newz033 - Upper Hollyford Valley - 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/4074 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz033 - Upper Hollyford Valley - 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: Upper Hollyford Valley # Location: # Country: New Zealand # Northernmost_Latitude: -44.77 # Southernmost_Latitude: -44.77 # Easternmost_Longitude: 168.0 # Westernmost_Longitude: 168.0 # Elevation: 950 m #-------------------- # Data_Collection # Collection_Name: australia_newz033B # Earliest_Year: 1822 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.0401768741","T2":"16.8373146381","M1":"0.0225142886656","M2":"0.400640201598"}} #-------------------- # Species # Species_Name: silver beech nothofagus # Species_Code: NOME #-------------------- # 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 1822 0.707 1823 1.004 1824 0.887 1825 0.976 1826 0.916 1827 0.799 1828 0.907 1829 0.89 1830 0.899 1831 0.667 1832 0.511 1833 0.632 1834 0.737 1835 1.142 1836 0.727 1837 0.962 1838 0.32 1839 1.017 1840 0.917 1841 1.387 1842 1.027 1843 1.003 1844 0.742 1845 0.705 1846 0.675 1847 0.652 1848 0.747 1849 1.051 1850 0.986 1851 1.031 1852 0.976 1853 1.01 1854 0.84 1855 1.123 1856 1.154 1857 0.923 1858 1.008 1859 0.358 1860 1.016 1861 1.083 1862 0.777 1863 0.851 1864 1.449 1865 0.912 1866 1.076 1867 0.814 1868 1.029 1869 0.795 1870 1.201 1871 1.132 1872 0.799 1873 0.764 1874 1.197 1875 1.31 1876 0.882 1877 0.844 1878 0.453 1879 1.088 1880 0.914 1881 0.856 1882 1.034 1883 0.768 1884 1.307 1885 1.139 1886 1.587 1887 0.848 1888 1.849 1889 1.58 1890 1.638 1891 2.045 1892 1.543 1893 1.782 1894 1.751 1895 0.497 1896 1.511 1897 1.107 1898 1.499 1899 1.132 1900 1.142 1901 0.654 1902 0.789 1903 1.129 1904 0.885 1905 0.699 1906 1.19 1907 1.055 1908 1.273 1909 1.166 1910 1.082 1911 0.867 1912 1.052 1913 1.118 1914 0.743 1915 0.937 1916 0.66 1917 0.771 1918 0.759 1919 1.055 1920 1.049 1921 1.18 1922 0.646 1923 0.95 1924 0.872 1925 0.811 1926 0.804 1927 0.902 1928 0.501 1929 0.579 1930 0.339 1931 0.287 1932 0.337 1933 0.575 1934 0.684 1935 0.655 1936 0.643 1937 0.917 1938 0.775 1939 0.664 1940 0.959 1941 0.62 1942 0.56 1943 0.69 1944 0.726 1945 0.516 1946 0.421 1947 0.265 1948 0.406 1949 0.572 1950 0.578 1951 0.368 1952 0.793 1953 0.956 1954 1.084 1955 0.97 1956 0.824 1957 0.899 1958 0.718 1959 0.722 1960 0.963 1961 1.366 1962 1.148 1963 1.147 1964 1.21 1965 1.093 1966 1.322 1967 1.387 1968 1.36 1969 1.281 1970 1.191 1971 0.864 1972 1.374 1973 1.422 1974 1.208 1975 0.995 1976 1.153 1977 0.919 1978 1.066 1979 1.292 1980 1.166