# europe_turk038 - Aligalani - 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/5543 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk038 - Aligalani - 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: Aligalani # Location: # Country: Turkey # Northernmost_Latitude: 39.27 # Southernmost_Latitude: 39.27 # Easternmost_Longitude: 28.85 # Westernmost_Longitude: 28.85 # Elevation: 1650 m #-------------------- # Data_Collection # Collection_Name: europe_turk038B # Earliest_Year: 1830 # Most_Recent_Year: 2002 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.53459718256","T2":"15.2053115541","M1":"0.0224631596879","M2":"0.468378360273"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 1830 0.966 1831 0.612 1832 0.403 1833 0.683 1834 0.69 1835 1.092 1836 1.449 1837 1.36 1838 1.209 1839 1.145 1840 0.71 1841 0.986 1842 1.208 1843 0.986 1844 0.79 1845 0.975 1846 1.023 1847 1.063 1848 1.468 1849 1.101 1850 0.942 1851 1.047 1852 0.792 1853 0.817 1854 0.793 1855 1.026 1856 0.917 1857 1.198 1858 1.265 1859 1.534 1860 1.683 1861 1.095 1862 1.072 1863 0.947 1864 0.811 1865 1.032 1866 1.131 1867 1.073 1868 0.585 1869 0.75 1870 0.597 1871 0.815 1872 1.399 1873 1.48 1874 0.971 1875 0.791 1876 1.401 1877 1.608 1878 0.671 1879 1.068 1880 1.051 1881 1.382 1882 1.531 1883 1.025 1884 1.017 1885 1.395 1886 1.105 1887 0.844 1888 1.106 1889 1.214 1890 0.929 1891 1.367 1892 1.075 1893 0.434 1894 0.488 1895 0.563 1896 0.836 1897 1.345 1898 1.041 1899 1.048 1900 1.043 1901 1.246 1902 1.221 1903 1.07 1904 1.016 1905 1.033 1906 1.147 1907 0.992 1908 1.043 1909 0.75 1910 0.844 1911 0.612 1912 0.873 1913 1.187 1914 1.387 1915 1.208 1916 0.887 1917 0.933 1918 0.748 1919 0.959 1920 1.173 1921 1.24 1922 0.918 1923 0.859 1924 0.673 1925 0.745 1926 0.539 1927 0.618 1928 0.485 1929 0.489 1930 0.941 1931 0.829 1932 0.76 1933 0.883 1934 1.046 1935 0.804 1936 0.934 1937 0.913 1938 0.68 1939 0.767 1940 1.272 1941 1.134 1942 1.069 1943 1.188 1944 0.882 1945 0.627 1946 0.641 1947 0.752 1948 0.649 1949 0.504 1950 0.914 1951 1.056 1952 0.741 1953 0.884 1954 0.908 1955 0.955 1956 0.898 1957 0.843 1958 0.982 1959 1.333 1960 1.532 1961 1.169 1962 0.97 1963 1.135 1964 0.873 1965 0.734 1966 0.971 1967 1.016 1968 0.774 1969 0.839 1970 0.888 1971 0.901 1972 1.218 1973 1.322 1974 1.087 1975 1.46 1976 1.182 1977 0.943 1978 1.037 1979 1.268 1980 0.95 1981 0.965 1982 1.128 1983 1.204 1984 0.959 1985 0.912 1986 0.844 1987 0.731 1988 0.638 1989 0.939 1990 1.098 1991 1.091 1992 1.04 1993 1.012 1994 0.946 1995 0.708 1996 0.719 1997 0.993 1998 1.349 1999 0.847 2000 0.757 2001 1.323 2002 1.075