# europe_brit11 - Castle Howard - 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/4034 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_brit11 - Castle Howard - 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: Castle Howard # Location: # Country: United Kingdom # Northernmost_Latitude: 54.12 # Southernmost_Latitude: 54.12 # Easternmost_Longitude: -0.92 # Westernmost_Longitude: -0.92 # Elevation: 213 m #-------------------- # Data_Collection # Collection_Name: europe_brit11B # Earliest_Year: 1829 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"6.84383723422","T2":"19.0544325","M1":"0.0224660150419","M2":"0.341283557615"}} #-------------------- # Species # Species_Name: oak # Species_Code: QUSP #-------------------- # 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 1829 1.011 1830 1.005 1831 1.119 1832 0.646 1833 0.786 1834 1.017 1835 1.073 1836 0.972 1837 0.945 1838 0.841 1839 0.818 1840 0.727 1841 0.934 1842 1.187 1843 0.875 1844 0.757 1845 1.098 1846 1.635 1847 1.31 1848 1.297 1849 1.395 1850 1.346 1851 1.467 1852 0.98 1853 1.187 1854 1.018 1855 1.264 1856 1.135 1857 1.292 1858 1.146 1859 1.48 1860 0.789 1861 0.982 1862 0.924 1863 1.061 1864 1.327 1865 1.624 1866 1.415 1867 1.121 1868 1.098 1869 0.911 1870 1.169 1871 1.022 1872 1.153 1873 1.027 1874 0.782 1875 1.048 1876 0.922 1877 0.952 1878 1.106 1879 0.801 1880 0.708 1881 0.829 1882 0.965 1883 0.971 1884 1.103 1885 0.945 1886 1.187 1887 0.804 1888 0.615 1889 0.768 1890 1.04 1891 0.963 1892 1.107 1893 1.078 1894 0.715 1895 0.811 1896 0.814 1897 0.985 1898 0.922 1899 1.165 1900 1.214 1901 0.936 1902 0.934 1903 1.358 1904 1.092 1905 1.097 1906 0.877 1907 0.57 1908 0.702 1909 0.728 1910 0.835 1911 1.132 1912 0.975 1913 0.759 1914 0.822 1915 0.761 1916 0.726 1917 0.992 1918 0.801 1919 0.803 1920 0.755 1921 1.089 1922 1.1 1923 0.817 1924 0.846 1925 0.734 1926 1.002 1927 0.997 1928 0.988 1929 0.98 1930 0.765 1931 0.862 1932 0.784 1933 0.766 1934 0.783 1935 0.69 1936 1.026 1937 1.019 1938 0.92 1939 1.413 1940 1.159 1941 1.081 1942 0.967 1943 0.852 1944 1.049 1945 1.226 1946 0.76 1947 1.349 1948 0.71 1949 1.005 1950 1.299 1951 1.011 1952 1.013 1953 1.308 1954 1.008 1955 1.176 1956 0.754 1957 0.582 1958 1.009 1959 1.183 1960 1.133 1961 1.007 1962 1.05 1963 0.921 1964 1.427 1965 0.818 1966 1.16 1967 1.032 1968 1.122 1969 1.209 1970 1.177 1971 1.181 1972 0.893