# europe_germ056w - Sirnitz NE (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/4651 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ056w - Sirnitz NE (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 NE (D), EU-Pr. # Location: # Country: Germany # Northernmost_Latitude: 47.78 # Southernmost_Latitude: 47.78 # Easternmost_Longitude: 7.75 # Westernmost_Longitude: 7.75 # Elevation: 940 m #-------------------- # Data_Collection # Collection_Name: europe_germ056wB # Earliest_Year: 1855 # 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":"4.28387550937","T2":"18.3362748449","M1":"0.0223737496382","M2":"0.482120488681"}} #-------------------- # Species # Species_Name: silver fir # Species_Code: ABAL #-------------------- # 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 1855 0.913 1856 1.061 1857 0.804 1858 0.804 1859 0.756 1860 0.642 1861 0.928 1862 0.617 1863 0.682 1864 0.617 1865 0.477 1866 0.651 1867 0.649 1868 0.566 1869 0.723 1870 0.823 1871 1.01 1872 0.985 1873 1.004 1874 0.956 1875 0.777 1876 0.983 1877 1.009 1878 1.165 1879 1.219 1880 1.17 1881 1.344 1882 1.216 1883 1.223 1884 1.147 1885 1.028 1886 0.971 1887 0.996 1888 0.874 1889 1.004 1890 1.069 1891 0.992 1892 0.937 1893 0.859 1894 0.768 1895 0.983 1896 0.9 1897 1.02 1898 1.289 1899 1.23 1900 1.117 1901 1.19 1902 1.121 1903 1.185 1904 1.211 1905 1.05 1906 0.922 1907 0.816 1908 0.866 1909 0.898 1910 0.858 1911 0.92 1912 0.928 1913 1.237 1914 1.153 1915 1.005 1916 1.134 1917 0.857 1918 1.031 1919 1.072 1920 0.904 1921 0.913 1922 0.528 1923 0.677 1924 0.716 1925 1.013 1926 0.926 1927 1.038 1928 1.373 1929 1.244 1930 1.297 1931 1.301 1932 1.608 1933 1.259 1934 1.118 1935 1.088 1936 1.093 1937 1.031 1938 1.07 1939 0.896 1940 0.768 1941 1.012 1942 1.213 1943 1.333 1944 1.083 1945 0.921 1946 1.03 1947 0.889 1948 0.585 1949 0.787 1950 0.712 1951 0.994 1952 0.911 1953 0.842 1954 0.942 1955 1.369 1956 0.801 1957 1.085 1958 1.1 1959 1.376 1960 1.121 1961 1.191 1962 0.911 1963 1.013 1964 1.109 1965 0.814 1966 0.967 1967 0.918 1968 0.863 1969 1.066 1970 0.876 1971 0.932 1972 0.95 1973 0.735 1974 0.454 1975 0.438 1976 0.343 1977 0.436 1978 0.487 1979 0.514 1980 0.615 1981 0.689 1982 0.852 1983 0.8 1984 1.059 1985 1.303 1986 1.241 1987 0.769 1988 1.087 1989 1.168 1990 1.287 1991 0.99 1992 1.089 1993 0.92 1994 1.274 1995 1.227