# africa_morc013 - Tazzeka - 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/2937 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: africa_morc013 - Tazzeka - 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: Tazzeka # Location: # Country: Morocco # Northernmost_Latitude: 34.08 # Southernmost_Latitude: 34.08 # Easternmost_Longitude: -4.18 # Westernmost_Longitude: -4.18 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: africa_morc013B # Earliest_Year: 1854 # Most_Recent_Year: 1984 # 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":"5.3270097532","T2":"16.6972006744","M1":"0.0221173107309","M2":"0.292490766697"}} #-------------------- # Species # Species_Name: Atlantic cedar # Species_Code: CDAT #-------------------- # 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 1854 0.497 1855 0.618 1856 0.834 1857 0.831 1858 0.942 1859 0.745 1860 0.937 1861 1.177 1862 0.959 1863 0.677 1864 0.166 1865 0.462 1866 0.745 1867 0.982 1868 1.085 1869 1.088 1870 1.213 1871 1.333 1872 1.14 1873 1.173 1874 1.085 1875 1.144 1876 1.13 1877 1.32 1878 1.258 1879 0.67 1880 0.818 1881 0.954 1882 1.02 1883 1.196 1884 1.202 1885 1.1 1886 1.038 1887 1.009 1888 0.981 1889 0.859 1890 0.768 1891 0.873 1892 0.972 1893 1.05 1894 0.767 1895 0.982 1896 1.118 1897 1.267 1898 1.166 1899 1.389 1900 1.198 1901 1.222 1902 1.037 1903 1.125 1904 1.084 1905 1.307 1906 1.078 1907 0.913 1908 0.963 1909 0.962 1910 0.852 1911 0.85 1912 1.159 1913 0.941 1914 1.219 1915 0.811 1916 1.06 1917 1.133 1918 1.111 1919 1.209 1920 1.041 1921 0.931 1922 1.109 1923 0.853 1924 0.95 1925 1.057 1926 0.878 1927 0.826 1928 0.715 1929 0.894 1930 0.762 1931 0.735 1932 1.025 1933 0.87 1934 0.709 1935 0.892 1936 0.826 1937 0.922 1938 0.542 1939 0.692 1940 0.721 1941 0.752 1942 0.877 1943 1.065 1944 1.04 1945 0.619 1946 0.766 1947 1.022 1948 1.063 1949 1.115 1950 1.256 1951 1.206 1952 0.976 1953 0.968 1954 0.98 1955 1.155 1956 0.911 1957 0.951 1958 1.043 1959 0.913 1960 0.984 1961 0.85 1962 0.906 1963 0.962 1964 0.824 1965 0.971 1966 1.089 1967 1.097 1968 1.042 1969 1.196 1970 1.061 1971 1.189 1972 1.056 1973 1.055 1974 0.887 1975 0.971 1976 1.107 1977 1.088 1978 1.004 1979 0.929 1980 0.812 1981 0.946 1982 0.994 1983 1.09 1984 0.972