# australia_newz054 - Upper Takahe 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/4075 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz054 - Upper Takahe 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 Takahe Valley # Location: # Country: New Zealand # Northernmost_Latitude: -45.2 # Southernmost_Latitude: -45.2 # Easternmost_Longitude: 167.65 # Westernmost_Longitude: 167.65 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: australia_newz054B # Earliest_Year: 1839 # 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":"5.22729204733","T2":"13.2874339448","M1":"0.0227441776489","M2":"0.440098031243"}} #-------------------- # 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 1839 1.467 1840 1.461 1841 1.637 1842 1.294 1843 0.806 1844 0.868 1845 1.202 1846 1.301 1847 1.27 1848 1.535 1849 1.365 1850 1.674 1851 2.007 1852 1.444 1853 1.814 1854 0.502 1855 1.64 1856 1.573 1857 1.489 1858 1.469 1859 0.537 1860 1.141 1861 1.203 1862 0.954 1863 0.973 1864 1.552 1865 1.215 1866 1.485 1867 0.796 1868 1.164 1869 1.096 1870 1.322 1871 1.394 1872 0.706 1873 1.212 1874 1.163 1875 1.322 1876 0.79 1877 0.989 1878 1.104 1879 1.501 1880 1.165 1881 1.14 1882 1.874 1883 0.774 1884 1.42 1885 1.391 1886 1.646 1887 0.576 1888 1.327 1889 1.324 1890 1.301 1891 1.255 1892 0.818 1893 1.62 1894 0.898 1895 0.764 1896 1.515 1897 0.627 1898 1.183 1899 0.927 1900 1.013 1901 1.193 1902 0.743 1903 1.358 1904 0.595 1905 0.23 1906 0.774 1907 0.211 1908 0.834 1909 0.678 1910 0.725 1911 0.78 1912 1.024 1913 1.128 1914 0.452 1915 1.322 1916 0.545 1917 0.916 1918 0.625 1919 1.157 1920 0.861 1921 1.559 1922 0.684 1923 1.224 1924 0.995 1925 1.044 1926 0.856 1927 1.26 1928 0.852 1929 0.652 1930 0.614 1931 1.072 1932 1.203 1933 1.337 1934 1.095 1935 0.538 1936 0.844 1937 1.67 1938 0.841 1939 0.473 1940 1.491 1941 0.996 1942 0.924 1943 1.337 1944 1.277 1945 1.437 1946 1.095 1947 0.65 1948 1.045 1949 0.797 1950 1.005 1951 0.404 1952 0.958 1953 0.862 1954 1.031 1955 0.948 1956 0.328 1957 0.584 1958 0.311 1959 0.158 1960 0.779 1961 1.19 1962 0.858 1963 0.828 1964 0.83 1965 0.912 1966 0.381 1967 0.591 1968 0.906 1969 0.856 1970 1.534 1971 0.642 1972 1.319 1973 1.134 1974 1.268 1975 1.074 1976 1.038 1977 1.307 1978 0.386 1979 1.351