# australia_newz032 - Takahe Stream - 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/4071 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz032 - Takahe Stream - 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: Takahe Stream # Location: # Country: New Zealand # Northernmost_Latitude: -45.28 # Southernmost_Latitude: -45.28 # Easternmost_Longitude: 167.65 # Westernmost_Longitude: 167.65 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: australia_newz032B # Earliest_Year: 1840 # Most_Recent_Year: 1979 # 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":"6.0520453402","T2":"16.4983742238","M1":"0.0222279172034","M2":"0.414294864755"}} #-------------------- # Species # Species_Name: mountain beech nothofagus # Species_Code: NOSO #-------------------- # 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 1840 0.608 1841 0.536 1842 0.384 1843 0.161 1844 0.468 1845 0.824 1846 0.995 1847 1.015 1848 1.007 1849 1.289 1850 1.358 1851 0.96 1852 0.623 1853 0.736 1854 1.116 1855 1.205 1856 1.109 1857 1.018 1858 1.182 1859 0.968 1860 1.084 1861 0.902 1862 0.532 1863 0.55 1864 1.398 1865 1.29 1866 1.606 1867 1.139 1868 1.354 1869 1.351 1870 1.377 1871 1.493 1872 1.286 1873 1.324 1874 1.452 1875 1.432 1876 0.946 1877 0.782 1878 1.085 1879 1.524 1880 1.149 1881 1.367 1882 1.737 1883 0.836 1884 1.408 1885 1.328 1886 1.275 1887 0.58 1888 0.906 1889 0.905 1890 0.737 1891 1.133 1892 0.943 1893 1.538 1894 1.186 1895 0.583 1896 1.311 1897 0.685 1898 0.916 1899 0.701 1900 0.814 1901 0.986 1902 1.254 1903 1.316 1904 0.974 1905 0.912 1906 1.389 1907 0.901 1908 0.323 1909 0.17 1910 0.693 1911 0.488 1912 0.924 1913 1.078 1914 0.699 1915 0.77 1916 0.202 1917 0.071 1918 0.544 1919 1.025 1920 0.815 1921 0.636 1922 0.107 1923 0.198 1924 0.455 1925 0.876 1926 1.172 1927 1.572 1928 0.795 1929 0.415 1930 0.771 1931 1.069 1932 1.063 1933 0.662 1934 0.978 1935 1.098 1936 1.1 1937 2.06 1938 0.889 1939 0.494 1940 0.712 1941 0.606 1942 0.098 1943 0.283 1944 1.119 1945 1.56 1946 1.762 1947 1.301 1948 0.595 1949 0.949 1950 1.562 1951 1.071 1952 1.16 1953 1.031 1954 0.307 1955 0.662 1956 0.797 1957 0.845 1958 1.164 1959 0.811 1960 1.252 1961 1.806 1962 1.755 1963 1.229 1964 1.636 1965 1.707 1966 1.19 1967 1.265 1968 1.307 1969 0.954 1970 0.558 1971 0.868 1972 1.053 1973 0.994 1974 1.199 1975 0.92 1976 1.044 1977 1.473 1978 1.094 1979 0.811