# australia_newz085 - Huia - 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/8484 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz085 - Huia - 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: Huia # Location: # Country: New Zealand # Northernmost_Latitude: -36.97 # Southernmost_Latitude: -36.97 # Easternmost_Longitude: 174.57 # Westernmost_Longitude: 174.57 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: australia_newz085B # Earliest_Year: 1800 # Most_Recent_Year: 1981 # 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":"4.80069434893","T2":"18.7416186337","M1":"0.0221825350898","M2":"0.513271427643"}} #-------------------- # Species # Species_Name: kauri pine # Species_Code: AGAU #-------------------- # 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 1800 0.579 1801 0.675 1802 0.871 1803 1.138 1804 0.973 1805 0.541 1806 1.303 1807 1.104 1808 0.78 1809 1.22 1810 0.989 1811 1.286 1812 1.277 1813 1.208 1814 1.009 1815 1.272 1816 1.48 1817 1.171 1818 1.171 1819 1.09 1820 1.164 1821 0.838 1822 1.144 1823 1.006 1824 1.251 1825 0.745 1826 1.389 1827 1.248 1828 0.811 1829 1.113 1830 0.772 1831 1.41 1832 1.058 1833 1.263 1834 0.568 1835 0.677 1836 0.559 1837 1.231 1838 1.232 1839 0.423 1840 1.175 1841 1.024 1842 0.89 1843 1.139 1844 0.7 1845 1.265 1846 0.547 1847 1.239 1848 1.161 1849 0.926 1850 1.241 1851 1.053 1852 1.555 1853 1.443 1854 0.925 1855 1.229 1856 0.772 1857 1.221 1858 0.862 1859 1.228 1860 0.63 1861 0.941 1862 0.847 1863 0.656 1864 0.952 1865 0.609 1866 0.609 1867 0.768 1868 1.376 1869 1.111 1870 1.334 1871 0.908 1872 0.501 1873 1.189 1874 1.204 1875 0.56 1876 1.013 1877 1.228 1878 0.472 1879 0.905 1880 0.692 1881 1.284 1882 0.995 1883 0.687 1884 1.318 1885 0.853 1886 0.361 1887 0.803 1888 0.57 1889 0.42 1890 0.505 1891 1.29 1892 0.505 1893 1.572 1894 0.825 1895 1.051 1896 0.921 1897 0.452 1898 0.75 1899 0.982 1900 1.051 1901 0.94 1902 1.074 1903 0.583 1904 1.297 1905 0.861 1906 0.61 1907 0.444 1908 0.459 1909 0.719 1910 0.49 1911 1.036 1912 0.392 1913 0.993 1914 0.681 1915 0.338 1916 0.327 1917 1.709 1918 1.48 1919 1.51 1920 0.744 1921 0.847 1922 0.675 1923 1.048 1924 0.859 1925 0.979 1926 0.554 1927 1.093 1928 0.286 1929 0.508 1930 0.749 1931 0.818 1932 0.624 1933 1.059 1934 0.609 1935 0.413 1936 0.641 1937 1.021 1938 0.791 1939 0.697 1940 1.265 1941 0.741 1942 1.394 1943 0.861 1944 1.265 1945 1.03 1946 0.711 1947 0.876 1948 0.376 1949 1.085 1950 0.339 1951 1.157 1952 0.628 1953 0.99 1954 1.281 1955 1.09 1956 1.294 1957 1.634 1958 1.029 1959 1.68 1960 1.035 1961 1.454 1962 1.148 1963 2.1 1964 1.019 1965 1.064 1966 1.171 1967 1.713 1968 1.079 1969 0.879 1970 0.654 1971 0.892 1972 0.54 1973 0.559 1974 0.889 1975 0.81 1976 1.397 1977 1.01 1978 1.243 1979 0.681 1980 1.096 1981 0.987