# australia_newz001 - Paparoa - 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/3142 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz001 - Paparoa - 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: Paparoa # Location: # Country: New Zealand # Northernmost_Latitude: -36.12 # Southernmost_Latitude: -36.12 # Easternmost_Longitude: 174.25 # Westernmost_Longitude: 174.25 # Elevation: 160 m #-------------------- # Data_Collection # Collection_Name: australia_newz001B # Earliest_Year: 1834 # Most_Recent_Year: 1975 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.47222355885","T2":"12.6861470977","M1":"0.022494842008","M2":"0.617077194951"}} #-------------------- # Species # Species_Name: tanekaha celery top pine # Species_Code: PHTR #-------------------- # 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 1834 0.478 1835 0.464 1836 0.753 1837 0.913 1838 1.007 1839 0.726 1840 0.731 1841 0.931 1842 0.85 1843 1.088 1844 0.752 1845 0.8 1846 0.604 1847 0.821 1848 1.028 1849 0.973 1850 0.935 1851 1.235 1852 1.158 1853 0.968 1854 0.935 1855 0.731 1856 1.059 1857 0.912 1858 0.981 1859 0.7 1860 0.954 1861 0.906 1862 0.734 1863 0.832 1864 0.868 1865 0.949 1866 0.909 1867 1.009 1868 1.003 1869 0.819 1870 0.982 1871 0.734 1872 0.679 1873 0.715 1874 0.862 1875 0.649 1876 0.808 1877 0.885 1878 0.721 1879 0.764 1880 0.748 1881 1.245 1882 0.726 1883 1.06 1884 1.107 1885 1.073 1886 0.81 1887 0.94 1888 1.325 1889 1.086 1890 1.157 1891 1.411 1892 1.407 1893 1.222 1894 1.252 1895 1.003 1896 0.926 1897 0.952 1898 1.292 1899 0.755 1900 1.377 1901 1.626 1902 1.439 1903 1.169 1904 1.306 1905 1.537 1906 1.365 1907 0.563 1908 0.794 1909 0.967 1910 1.129 1911 1.287 1912 1.159 1913 1.139 1914 0.432 1915 1.207 1916 1.131 1917 1.345 1918 1.355 1919 1.103 1920 1.039 1921 1.036 1922 1.188 1923 1.086 1924 1.031 1925 1.153 1926 1.511 1927 0.843 1928 1.016 1929 1.254 1930 1.339 1931 0.699 1932 0.61 1933 0.975 1934 1.115 1935 1.481 1936 1.369 1937 1.248 1938 0.649 1939 0.837 1940 1.15 1941 1.097 1942 0.558 1943 1.377 1944 1.038 1945 0.879 1946 0.684 1947 0.689 1948 0.899 1949 0.703 1950 1.224 1951 1.166 1952 1.287 1953 0.773 1954 0.808 1955 0.687 1956 0.764 1957 1.124 1958 1.063 1959 0.833 1960 1.073 1961 0.827 1962 1.074 1963 0.892 1964 1.295 1965 1.051 1966 0.956 1967 0.714 1968 0.94 1969 0.698 1970 0.745 1971 0.371 1972 0.815 1973 0.691 1974 0.453 1975 0.223