# asia_russ178w - Markovo - 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/4526 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ178w - Markovo - 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: Markovo # Location: # Country: Russia # Northernmost_Latitude: 64.83 # Southernmost_Latitude: 64.83 # Easternmost_Longitude: 169.0 # Westernmost_Longitude: 169.0 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: asia_russ178wB # Earliest_Year: 1849 # Most_Recent_Year: 1998 # 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":"5.09299888798","T2":"17.8505996516","M1":"0.0225298768911","M2":"0.297086345211"}} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1849 0.578 1850 0.796 1851 0.673 1852 0.749 1853 0.848 1854 0.894 1855 0.948 1856 0.767 1857 0.627 1858 1.08 1859 0.982 1860 1.132 1861 1.276 1862 0.575 1863 0.958 1864 0.963 1865 0.63 1866 0.982 1867 0.506 1868 0.807 1869 1.029 1870 1.236 1871 0.897 1872 0.782 1873 0.999 1874 1.166 1875 1.057 1876 1.348 1877 1.378 1878 1.652 1879 1.237 1880 1.324 1881 0.956 1882 1.203 1883 0.764 1884 1.422 1885 0.745 1886 1.088 1887 1.172 1888 1.314 1889 1.267 1890 0.94 1891 1.026 1892 0.615 1893 1.355 1894 1.512 1895 1.124 1896 1.249 1897 0.839 1898 0.913 1899 1.126 1900 1.368 1901 1.158 1902 1.57 1903 1.078 1904 1.164 1905 0.84 1906 1.088 1907 1.017 1908 1.196 1909 0.751 1910 0.847 1911 0.833 1912 0.603 1913 0.584 1914 0.874 1915 1.012 1916 1.111 1917 0.534 1918 0.735 1919 0.969 1920 0.802 1921 0.684 1922 0.867 1923 0.653 1924 0.926 1925 0.935 1926 0.712 1927 0.831 1928 0.717 1929 0.508 1930 0.556 1931 0.702 1932 0.825 1933 0.646 1934 0.809 1935 0.505 1936 0.54 1937 0.87 1938 0.936 1939 0.829 1940 0.707 1941 0.873 1942 0.805 1943 1.005 1944 0.813 1945 0.945 1946 0.77 1947 0.988 1948 1.304 1949 0.872 1950 0.377 1951 0.874 1952 0.537 1953 0.774 1954 0.756 1955 0.872 1956 0.908 1957 0.8 1958 1.341 1959 0.815 1960 1.339 1961 1.203 1962 0.761 1963 1.076 1964 1.647 1965 0.975 1966 1.133 1967 0.929 1968 1.217 1969 0.454 1970 1.543 1971 1.042 1972 0.948 1973 1.07 1974 0.824 1975 1.083 1976 1.213 1977 0.988 1978 0.528 1979 1.355 1980 0.769 1981 0.97 1982 0.655 1983 1.386 1984 0.744 1985 1.247 1986 1.089 1987 0.907 1988 1.118 1989 1.518 1990 1.399 1991 2.223 1992 1.204 1993 1.142 1994 1.293 1995 1.807 1996 1.178 1997 1.966 1998 1.513