# asia_russ069w - Kuonamka River (feucht) - 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/4488 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ069w - Kuonamka River (feucht) - 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: Kuonamka River (feucht) # Location: # Country: Russia # Northernmost_Latitude: 69.77 # Southernmost_Latitude: 69.77 # Easternmost_Longitude: 112.82 # Westernmost_Longitude: 112.82 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: asia_russ069wB # Earliest_Year: 1857 # Most_Recent_Year: 1990 # 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":"5.13600288635","T2":"17.4066113659","M1":"0.0220977190195","M2":"0.380909947946"}} #-------------------- # 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 1857 0.853 1858 1.177 1859 0.844 1860 1.669 1861 1.357 1862 1.039 1863 0.796 1864 1.175 1865 1.194 1866 0.984 1867 0.943 1868 0.885 1869 0.292 1870 0.675 1871 0.617 1872 0.993 1873 0.939 1874 0.976 1875 1.163 1876 0.973 1877 1.196 1878 1.076 1879 1.36 1880 1.393 1881 1.272 1882 1.356 1883 1.594 1884 1.262 1885 1.219 1886 0.602 1887 0.841 1888 0.937 1889 0.579 1890 0.839 1891 1.055 1892 1.319 1893 0.963 1894 0.97 1895 1.133 1896 1.418 1897 0.895 1898 0.794 1899 0.943 1900 0.256 1901 0.967 1902 1.045 1903 0.965 1904 0.678 1905 0.474 1906 0.607 1907 0.848 1908 0.998 1909 0.564 1910 1.023 1911 0.927 1912 0.666 1913 0.961 1914 1.015 1915 0.963 1916 1.067 1917 0.811 1918 1.263 1919 0.978 1920 1.201 1921 0.94 1922 1.038 1923 1.109 1924 1.202 1925 0.623 1926 1.04 1927 0.721 1928 1.064 1929 0.682 1930 0.982 1931 0.616 1932 1.247 1933 1.356 1934 1.511 1935 1.312 1936 1.322 1937 1.25 1938 1.031 1939 0.666 1940 1.353 1941 1.362 1942 1.339 1943 1.351 1944 0.931 1945 0.993 1946 0.619 1947 0.559 1948 0.987 1949 0.478 1950 0.813 1951 0.592 1952 1.087 1953 1.066 1954 1.167 1955 1.428 1956 0.844 1957 0.562 1958 0.539 1959 0.889 1960 1.045 1961 1.302 1962 0.794 1963 0.726 1964 1.187 1965 0.591 1966 0.579 1967 0.893 1968 0.373 1969 0.898 1970 1.161 1971 0.921 1972 0.978 1973 0.77 1974 0.655 1975 0.901 1976 1.333 1977 1.433 1978 1.186 1979 1.381 1980 0.52 1981 0.839 1982 1.073 1983 1.397 1984 1.512 1985 1.093 1986 1.806 1987 0.943 1988 1.638 1989 0.584 1990 1.229