# northamerica_usa_az560 - Basin Area, North Rim, Grand Canyon NP - 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/5276 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az560 - Basin Area, North Rim, Grand Canyon NP - 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: Basin Area, North Rim, Grand Canyon NP # Location: # Country: United States # Northernmost_Latitude: 36.13 # Southernmost_Latitude: 36.13 # Easternmost_Longitude: -111.88 # Westernmost_Longitude: -111.88 # Elevation: 2800 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az560B # Earliest_Year: 1852 # Most_Recent_Year: 1995 # 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":"5.09885805193","T2":"17.0289557598","M1":"0.0225699685472","M2":"0.413928586926"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1852 1.193 1853 0.952 1854 1.248 1855 1.116 1856 0.917 1857 1.149 1858 1.08 1859 0.786 1860 1.057 1861 0.93 1862 0.932 1863 1.063 1864 0.781 1865 0.86 1866 1.139 1867 1.076 1868 1.212 1869 1.027 1870 1.283 1871 1.075 1872 1.082 1873 1.103 1874 0.962 1875 1.176 1876 0.943 1877 1.141 1878 1.182 1879 0.811 1880 0.785 1881 1.106 1882 0.809 1883 0.851 1884 0.925 1885 1.166 1886 0.951 1887 1.023 1888 1.141 1889 1.182 1890 1.197 1891 1.167 1892 1.082 1893 1.081 1894 1.12 1895 1.178 1896 0.463 1897 1.009 1898 0.906 1899 0.338 1900 0.691 1901 0.794 1902 0.546 1903 0.781 1904 0.644 1905 0.771 1906 1.004 1907 1.078 1908 1.344 1909 1.213 1910 1.029 1911 1.168 1912 1.044 1913 0.933 1914 1.094 1915 1.081 1916 1.128 1917 1.209 1918 1.148 1919 1.072 1920 0.872 1921 1.051 1922 1.057 1923 1.104 1924 0.995 1925 0.994 1926 1.073 1927 1.106 1928 0.923 1929 0.922 1930 0.948 1931 0.943 1932 0.884 1933 0.847 1934 0.796 1935 0.952 1936 0.819 1937 0.988 1938 1.045 1939 0.965 1940 1.005 1941 1.009 1942 1.325 1943 1.312 1944 1.042 1945 1.148 1946 1.076 1947 0.874 1948 0.896 1949 0.951 1950 1.094 1951 1.038 1952 1.079 1953 1.222 1954 1.192 1955 1.099 1956 0.941 1957 1.062 1958 1.004 1959 0.916 1960 0.9 1961 1.056 1962 1.09 1963 0.766 1964 1.095 1965 1.118 1966 1.171 1967 1.032 1968 1.01 1969 1.164 1970 1.044 1971 0.822 1972 0.846 1973 0.601 1974 0.803 1975 0.798 1976 0.948 1977 0.845 1978 0.761 1979 0.878 1980 1.011 1981 1.121 1982 1.061 1983 1.147 1984 0.976 1985 0.963 1986 1.0 1987 0.822 1988 0.864 1989 0.871 1990 0.832 1991 0.882 1992 0.971 1993 1.067 1994 0.904 1995 0.92