# asia_russ154w - Jama river - 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/4445 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ154w - Jama river - 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: Jama river # Location: # Country: Russia # Northernmost_Latitude: 59.78 # Southernmost_Latitude: 59.78 # Easternmost_Longitude: 154.0 # Westernmost_Longitude: 154.0 # Elevation: 80 m #-------------------- # Data_Collection # Collection_Name: asia_russ154wB # Earliest_Year: 1858 # Most_Recent_Year: 1994 # 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":"4.77551949885","T2":"17.0918029549","M1":"0.0229445547704","M2":"0.423174843054"}} #-------------------- # 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 1858 0.981 1859 0.932 1860 0.682 1861 0.669 1862 0.667 1863 0.851 1864 0.255 1865 0.377 1866 0.361 1867 0.258 1868 0.688 1869 0.771 1870 1.108 1871 1.175 1872 1.497 1873 0.828 1874 1.028 1875 0.768 1876 0.446 1877 0.755 1878 0.998 1879 0.77 1880 0.919 1881 1.056 1882 1.298 1883 0.918 1884 1.212 1885 1.276 1886 0.993 1887 0.918 1888 0.958 1889 1.423 1890 1.476 1891 1.081 1892 1.201 1893 1.185 1894 1.157 1895 0.951 1896 1.275 1897 1.143 1898 1.281 1899 1.16 1900 1.274 1901 1.218 1902 0.931 1903 0.957 1904 0.716 1905 1.137 1906 1.123 1907 1.365 1908 1.345 1909 1.259 1910 1.019 1911 0.655 1912 0.841 1913 1.306 1914 0.841 1915 1.178 1916 1.594 1917 1.535 1918 0.428 1919 0.391 1920 0.618 1921 1.172 1922 1.018 1923 0.892 1924 0.905 1925 0.862 1926 1.187 1927 1.495 1928 1.225 1929 1.71 1930 0.898 1931 1.163 1932 1.277 1933 1.595 1934 0.743 1935 0.881 1936 0.971 1937 1.005 1938 1.155 1939 0.991 1940 0.616 1941 0.991 1942 0.787 1943 0.589 1944 0.889 1945 1.137 1946 1.011 1947 0.718 1948 0.952 1949 0.759 1950 0.887 1951 1.262 1952 0.764 1953 0.879 1954 1.421 1955 0.837 1956 1.034 1957 0.898 1958 0.582 1959 1.231 1960 1.095 1961 0.762 1962 0.725 1963 1.033 1964 1.462 1965 0.906 1966 1.098 1967 1.441 1968 1.116 1969 0.697 1970 0.579 1971 0.676 1972 0.697 1973 1.014 1974 0.75 1975 0.847 1976 0.447 1977 0.68 1978 0.611 1979 0.558 1980 0.397 1981 0.655 1982 0.771 1983 1.413 1984 0.79 1985 0.904 1986 0.94 1987 1.018 1988 1.128 1989 1.54 1990 1.34 1991 1.261 1992 1.442 1993 1.721 1994 0.7