# northamerica_usa_nm500 - El Valle - 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/3078 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm500 - El Valle - 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: El Valle # Location: # Country: United States # Northernmost_Latitude: 36.12 # Southernmost_Latitude: 36.12 # Easternmost_Longitude: -105.73 # Westernmost_Longitude: -105.73 # Elevation: 2316 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm500B # Earliest_Year: 1796 # Most_Recent_Year: 1972 # 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":"3.95462581043","T2":"15.4031840858","M1":"0.0228199240052","M2":"0.520441145632"}} #-------------------- # 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 1796 1.696 1797 1.197 1798 0.849 1799 1.45 1800 1.574 1801 0.603 1802 0.804 1803 0.829 1804 1.156 1805 0.804 1806 0.554 1807 0.884 1808 0.821 1809 0.75 1810 0.963 1811 0.584 1812 1.104 1813 1.293 1814 0.757 1815 1.588 1816 1.729 1817 1.01 1818 0.724 1819 0.202 1820 0.682 1821 0.684 1822 0.356 1823 0.752 1824 0.623 1825 1.127 1826 0.947 1827 1.12 1828 1.382 1829 0.814 1830 0.654 1831 1.055 1832 1.23 1833 1.211 1834 1.233 1835 0.931 1836 0.595 1837 1.199 1838 1.34 1839 1.777 1840 1.432 1841 1.013 1842 0.164 1843 0.386 1844 0.936 1845 0.283 1846 0.272 1847 0.395 1848 0.729 1849 0.989 1850 0.857 1851 0.413 1852 1.096 1853 1.024 1854 1.189 1855 0.879 1856 1.261 1857 0.947 1858 1.268 1859 1.0 1860 0.95 1861 0.052 1862 0.618 1863 0.769 1864 0.511 1865 0.696 1866 1.222 1867 1.178 1868 1.821 1869 1.39 1870 1.163 1871 0.91 1872 1.439 1873 0.141 1874 0.825 1875 0.611 1876 0.654 1877 0.717 1878 1.094 1879 0.795 1880 0.449 1881 1.133 1882 1.004 1883 0.646 1884 1.046 1885 1.188 1886 1.189 1887 1.73 1888 1.599 1889 0.943 1890 1.069 1891 1.325 1892 1.415 1893 0.587 1894 0.529 1895 0.937 1896 0.882 1897 0.834 1898 1.022 1899 0.546 1900 0.687 1901 0.952 1902 0.209 1903 1.135 1904 -0.013 1905 1.231 1906 1.151 1907 1.622 1908 1.272 1909 1.25 1910 0.695 1911 1.224 1912 1.13 1913 0.679 1914 1.471 1915 1.312 1916 1.323 1917 0.542 1918 0.929 1919 1.448 1920 1.441 1921 2.129 1922 0.527 1923 0.693 1924 1.048 1925 0.892 1926 1.152 1927 1.057 1928 0.825 1929 1.84 1930 1.932 1931 1.629 1932 2.744 1933 2.22 1934 1.223 1935 2.117 1936 1.919 1937 1.683 1938 1.401 1939 1.035 1940 1.308 1941 1.606 1942 1.716 1943 1.747 1944 1.505 1945 1.248 1946 0.504 1947 0.587 1948 0.847 1949 1.036 1950 0.548 1951 0.325 1952 0.781 1953 0.57 1954 0.608 1955 0.64 1956 -0.002 1957 0.491 1958 0.595 1959 0.343 1960 0.628 1961 0.624 1962 0.433 1963 0.513 1964 0.434 1965 0.854 1966 0.457 1967 0.541 1968 0.521 1969 0.708 1970 0.607 1971 0.19 1972 0.581