# northamerica_usa_nm558 - Baca - 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/5068 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm558 - Baca - 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: Baca # Location: # Country: United States # Northernmost_Latitude: 35.82 # Southernmost_Latitude: 35.82 # Easternmost_Longitude: -106.57 # Westernmost_Longitude: -106.57 # Elevation: 2515 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm558B # Earliest_Year: 1676 # Most_Recent_Year: 1987 # 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":"3.99187294409","T2":"16.2622257545","M1":"0.0231819184641","M2":"0.486688103388"}} #-------------------- # 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 1676 0.647 1677 0.722 1678 0.87 1679 1.157 1680 1.177 1681 0.694 1682 1.297 1683 1.409 1684 0.919 1685 0.495 1686 1.109 1687 0.966 1688 1.037 1689 1.356 1690 1.129 1691 1.146 1692 1.386 1693 1.3 1694 1.196 1695 1.422 1696 0.542 1697 1.368 1698 0.924 1699 1.517 1700 0.796 1701 1.235 1702 0.663 1703 0.904 1704 0.491 1705 0.957 1706 1.477 1707 0.993 1708 1.264 1709 0.823 1710 1.325 1711 0.909 1712 1.037 1713 1.074 1714 0.846 1715 0.753 1716 0.814 1717 0.908 1718 1.23 1719 0.664 1720 1.324 1721 1.276 1722 1.365 1723 1.253 1724 1.123 1725 1.511 1726 1.708 1727 1.07 1728 1.187 1729 0.216 1730 0.7 1731 0.993 1732 1.142 1733 0.879 1734 1.413 1735 0.468 1736 1.009 1737 0.553 1738 0.658 1739 0.311 1740 0.796 1741 0.853 1742 0.872 1743 1.116 1744 1.163 1745 1.121 1746 1.492 1747 1.625 1748 0.314 1749 1.456 1750 0.815 1751 1.418 1752 0.468 1753 0.822 1754 1.167 1755 0.937 1756 0.657 1757 0.376 1758 1.167 1759 1.122 1760 0.839 1761 1.437 1762 1.498 1763 0.803 1764 1.424 1765 1.326 1766 1.611 1767 1.484 1768 1.188 1769 1.02 1770 1.171 1771 1.295 1772 0.846 1773 0.301 1774 0.624 1775 0.673 1776 0.877 1777 0.775 1778 1.019 1779 0.787 1780 0.518 1781 0.798 1782 0.6 1783 1.284 1784 1.374 1785 0.858 1786 0.728 1787 1.469 1788 0.939 1789 0.931 1790 1.504 1791 1.344 1792 1.138 1793 1.583 1794 1.18 1795 1.124 1796 0.977 1797 0.854 1798 0.824 1799 1.125 1800 1.186 1801 0.914 1802 1.039 1803 1.25 1804 1.084 1805 0.572 1806 0.57 1807 0.909 1808 0.974 1809 0.676 1810 0.96 1811 1.021 1812 0.808 1813 0.71 1814 0.584 1815 0.809 1816 1.025 1817 0.626 1818 0.086 1819 0.436 1820 0.508 1821 0.77 1822 0.06 1823 0.448 1824 0.495 1825 0.77 1826 0.895 1827 0.874 1828 1.277 1829 0.703 1830 1.224 1831 0.949 1832 1.154 1833 1.102 1834 1.037 1835 1.154 1836 0.944 1837 1.142 1838 1.249 1839 1.537 1840 1.615 1841 1.452 1842 0.851 1843 0.896 1844 1.207 1845 0.873 1846 0.905 1847 0.175 1848 0.986 1849 1.204 1850 0.77 1851 0.297 1852 1.274 1853 0.92 1854 1.035 1855 1.191 1856 1.129 1857 0.963 1858 1.354 1859 0.67 1860 0.782 1861 0.383 1862 0.822 1863 1.01 1864 0.71 1865 0.863 1866 1.299 1867 1.197 1868 1.359 1869 1.385 1870 1.383 1871 1.314 1872 1.33 1873 1.073 1874 1.089 1875 1.169 1876 1.0 1877 1.137 1878 1.102 1879 0.763 1880 0.227 1881 0.935 1882 1.095 1883 0.98 1884 1.032 1885 1.358 1886 1.177 1887 1.52 1888 1.22 1889 1.274 1890 0.889 1891 1.294 1892 1.125 1893 0.583 1894 0.935 1895 1.142 1896 0.363 1897 1.263 1898 1.325 1899 0.65 1900 0.152 1901 0.703 1902 0.398 1903 0.93 1904 -0.045 1905 0.985 1906 0.948 1907 1.593 1908 1.613 1909 1.304 1910 1.0 1911 1.282 1912 1.157 1913 1.12 1914 1.465 1915 1.254 1916 1.755 1917 1.313 1918 1.25 1919 1.222 1920 1.113 1921 1.292 1922 0.719 1923 0.539 1924 0.991 1925 0.4 1926 1.039 1927 0.99 1928 0.814 1929 1.127 1930 1.122 1931 0.753 1932 0.888 1933 0.651 1934 0.643 1935 0.923 1936 1.05 1937 1.06 1938 1.217 1939 1.035 1940 1.138 1941 1.201 1942 1.142 1943 1.334 1944 1.353 1945 1.254 1946 0.368 1947 1.122 1948 1.205 1949 1.636 1950 0.731 1951 0.205 1952 0.934 1953 0.536 1954 1.154 1955 0.248 1956 0.306 1957 0.921 1958 1.052 1959 1.041 1960 1.317 1961 1.28 1962 1.237 1963 0.618 1964 0.827 1965 1.159 1966 1.164 1967 0.305 1968 0.976 1969 1.222 1970 1.215 1971 0.371 1972 1.022 1973 0.836 1974 0.638 1975 1.25 1976 0.773 1977 0.409 1978 0.985 1979 0.96 1980 1.077 1981 1.318 1982 1.264 1983 1.261 1984 1.104 1985 1.455 1986 1.599 1987 1.507