# europe_germ046w - Sirnitz SW (D), EU-Pr. - 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/4654 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ046w - Sirnitz SW (D), EU-Pr. - 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: Sirnitz SW (D), EU-Pr. # Location: # Country: Germany # Northernmost_Latitude: 47.8 # Southernmost_Latitude: 47.8 # Easternmost_Longitude: 7.75 # Westernmost_Longitude: 7.75 # Elevation: 930 m #-------------------- # Data_Collection # Collection_Name: europe_germ046wB # Earliest_Year: 1845 # Most_Recent_Year: 1995 # 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":"4.32838539538","T2":"15.0640216193","M1":"0.0227241632382","M2":"0.544588936839"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1845 0.799 1846 1.083 1847 1.256 1848 1.195 1849 1.127 1850 1.031 1851 1.16 1852 1.095 1853 1.3 1854 1.133 1855 1.09 1856 1.052 1857 0.832 1858 0.71 1859 0.758 1860 0.655 1861 0.864 1862 0.889 1863 1.086 1864 1.071 1865 0.645 1866 0.657 1867 0.743 1868 0.47 1869 0.642 1870 0.416 1871 0.653 1872 0.706 1873 0.813 1874 0.759 1875 1.141 1876 1.124 1877 1.629 1878 1.879 1879 1.598 1880 1.343 1881 1.315 1882 1.343 1883 1.235 1884 1.255 1885 1.058 1886 1.056 1887 0.926 1888 0.865 1889 0.975 1890 1.202 1891 0.985 1892 0.953 1893 0.62 1894 0.724 1895 1.0 1896 0.798 1897 0.892 1898 0.941 1899 0.81 1900 0.725 1901 0.758 1902 0.897 1903 0.938 1904 0.909 1905 0.74 1906 0.73 1907 0.755 1908 0.9 1909 0.986 1910 1.087 1911 0.959 1912 0.903 1913 0.948 1914 0.909 1915 0.993 1916 1.108 1917 1.017 1918 1.108 1919 1.025 1920 1.035 1921 0.898 1922 0.559 1923 0.65 1924 0.691 1925 0.882 1926 0.748 1927 0.951 1928 0.936 1929 0.655 1930 0.794 1931 0.878 1932 0.938 1933 0.971 1934 0.845 1935 0.705 1936 0.744 1937 0.876 1938 0.945 1939 1.029 1940 1.245 1941 0.965 1942 0.987 1943 1.173 1944 0.908 1945 0.838 1946 0.578 1947 0.716 1948 0.516 1949 0.709 1950 0.763 1951 0.514 1952 0.716 1953 0.635 1954 0.91 1955 1.401 1956 1.27 1957 1.408 1958 1.334 1959 1.393 1960 1.153 1961 1.178 1962 0.9 1963 1.048 1964 0.978 1965 0.774 1966 1.002 1967 0.94 1968 0.949 1969 1.286 1970 1.13 1971 1.448 1972 1.325 1973 1.098 1974 0.964 1975 0.997 1976 0.722 1977 0.918 1978 1.229 1979 1.184 1980 1.355 1981 1.186 1982 1.339 1983 1.181 1984 0.842 1985 1.071 1986 1.024 1987 1.028 1988 1.308 1989 1.23 1990 1.212 1991 1.21 1992 0.923 1993 1.17 1994 1.404 1995 0.968