# northamerica_usa_nm061 - McKenna Park - 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/5084 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm061 - McKenna Park - 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: McKenna Park # Location: # Country: United States # Northernmost_Latitude: 33.25 # Southernmost_Latitude: 33.25 # Easternmost_Longitude: -108.5 # Westernmost_Longitude: -108.5 # Elevation: 2500 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm061B # Earliest_Year: 1811 # Most_Recent_Year: 1979 # 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":"4.05785287043","T2":"16.5012622868","M1":"0.0229400464266","M2":"0.469420307439"}} #-------------------- # 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 1811 0.807 1812 0.68 1813 0.62 1814 1.202 1815 1.351 1816 1.318 1817 0.966 1818 0.6 1819 0.427 1820 0.425 1821 0.844 1822 0.432 1823 0.747 1824 0.978 1825 0.818 1826 1.078 1827 1.041 1828 1.41 1829 1.485 1830 1.517 1831 1.289 1832 1.599 1833 1.472 1834 1.336 1835 1.419 1836 1.15 1837 0.94 1838 1.021 1839 1.637 1840 1.175 1841 0.689 1842 0.557 1843 0.844 1844 1.286 1845 1.218 1846 1.073 1847 0.704 1848 1.097 1849 1.382 1850 0.79 1851 0.57 1852 0.96 1853 0.907 1854 0.714 1855 0.482 1856 0.718 1857 0.857 1858 1.174 1859 0.785 1860 0.939 1861 0.77 1862 0.789 1863 0.662 1864 0.624 1865 1.141 1866 1.407 1867 1.2 1868 1.537 1869 1.377 1870 1.461 1871 0.708 1872 0.84 1873 0.842 1874 0.886 1875 1.095 1876 1.0 1877 1.058 1878 1.343 1879 1.125 1880 0.895 1881 1.14 1882 1.205 1883 1.249 1884 0.857 1885 1.376 1886 1.223 1887 0.954 1888 0.773 1889 0.997 1890 0.85 1891 0.696 1892 0.525 1893 0.485 1894 0.308 1895 0.811 1896 0.87 1897 0.744 1898 1.362 1899 1.117 1900 0.446 1901 1.041 1902 0.59 1903 1.058 1904 -0.019 1905 1.202 1906 1.25 1907 1.456 1908 1.82 1909 1.527 1910 0.984 1911 1.479 1912 1.214 1913 1.058 1914 1.581 1915 1.217 1916 1.649 1917 1.54 1918 1.09 1919 1.334 1920 1.056 1921 1.254 1922 0.82 1923 0.834 1924 1.098 1925 0.438 1926 0.986 1927 0.768 1928 0.689 1929 0.826 1930 0.897 1931 1.214 1932 1.172 1933 1.548 1934 0.324 1935 0.849 1936 0.867 1937 0.952 1938 0.988 1939 0.6 1940 1.311 1941 1.424 1942 0.975 1943 0.948 1944 1.097 1945 1.327 1946 0.513 1947 0.76 1948 0.636 1949 1.119 1950 0.444 1951 0.251 1952 1.187 1953 0.76 1954 0.678 1955 0.46 1956 0.205 1957 0.619 1958 0.792 1959 0.681 1960 0.615 1961 0.597 1962 1.227 1963 0.926 1964 1.054 1965 1.601 1966 1.2 1967 1.008 1968 1.434 1969 0.776 1970 1.328 1971 -0.029 1972 1.16 1973 1.091 1974 -0.061 1975 1.677 1976 1.226 1977 1.08 1978 0.984 1979 1.318