# northamerica_usa_nm029 - Turkey Springs - 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/3115 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm029 - Turkey Springs - 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: Turkey Springs # Location: # Country: United States # Northernmost_Latitude: 35.4 # Southernmost_Latitude: 35.4 # Easternmost_Longitude: -108.52 # Westernmost_Longitude: -108.52 # Elevation: 2377 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm029B # Earliest_Year: 1640 # 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":"4.29884053142","T2":"15.9678816061","M1":"0.0231051807331","M2":"0.474053724716"}} #-------------------- # 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 1640 1.148 1641 1.091 1642 1.134 1643 1.152 1644 1.004 1645 0.928 1646 0.989 1647 1.215 1648 0.64 1649 0.748 1650 1.003 1651 1.614 1652 1.845 1653 0.931 1654 0.712 1655 1.181 1656 1.476 1657 0.794 1658 0.49 1659 0.633 1660 0.837 1661 0.958 1662 1.032 1663 1.218 1664 0.832 1665 1.269 1666 0.855 1667 0.493 1668 0.191 1669 0.413 1670 0.273 1671 0.661 1672 1.038 1673 1.154 1674 1.0 1675 1.138 1676 0.648 1677 0.784 1678 0.412 1679 0.855 1680 1.335 1681 1.457 1682 1.288 1683 1.688 1684 0.469 1685 -0.011 1686 0.829 1687 0.966 1688 1.293 1689 1.325 1690 1.333 1691 0.994 1692 1.729 1693 1.532 1694 1.309 1695 1.367 1696 0.648 1697 1.349 1698 1.101 1699 1.985 1700 1.08 1701 1.978 1702 1.296 1703 1.168 1704 0.678 1705 1.098 1706 1.701 1707 0.862 1708 0.773 1709 1.281 1710 1.9 1711 1.48 1712 1.596 1713 0.901 1714 1.241 1715 0.878 1716 0.451 1717 0.714 1718 1.194 1719 0.918 1720 2.142 1721 0.88 1722 0.566 1723 1.223 1724 0.441 1725 1.662 1726 1.811 1727 0.976 1728 0.544 1729 -0.012 1730 0.631 1731 0.794 1732 1.258 1733 0.424 1734 0.711 1735 -0.012 1736 0.239 1737 0.482 1738 0.799 1739 0.276 1740 0.653 1741 0.629 1742 0.594 1743 1.276 1744 0.59 1745 1.342 1746 2.018 1747 2.005 1748 0.264 1749 1.662 1750 1.121 1751 0.538 1752 0.334 1753 0.185 1754 1.107 1755 0.556 1756 0.389 1757 0.6 1758 1.011 1759 1.241 1760 1.231 1761 0.889 1762 1.18 1763 0.486 1764 1.264 1765 0.509 1766 1.59 1767 0.925 1768 1.633 1769 1.539 1770 1.301 1771 2.13 1772 1.959 1773 0.575 1774 1.076 1775 1.108 1776 0.939 1777 0.399 1778 0.641 1779 0.573 1780 -0.012 1781 0.777 1782 0.153 1783 1.047 1784 1.497 1785 0.398 1786 0.606 1787 1.315 1788 0.36 1789 0.812 1790 1.026 1791 1.334 1792 1.501 1793 2.389 1794 1.43 1795 1.193 1796 0.904 1797 0.566 1798 0.689 1799 0.852 1800 0.354 1801 0.439 1802 0.517 1803 0.346 1804 1.001 1805 0.553 1806 0.217 1807 1.056 1808 1.046 1809 0.948 1810 0.588 1811 0.869 1812 0.715 1813 0.758 1814 0.994 1815 1.72 1816 2.028 1817 1.524 1818 0.583 1819 0.374 1820 0.5 1821 0.931 1822 -0.013 1823 0.026 1824 0.573 1825 0.659 1826 0.594 1827 0.458 1828 1.419 1829 0.589 1830 0.99 1831 0.761 1832 0.567 1833 1.007 1834 0.996 1835 1.262 1836 1.428 1837 1.345 1838 1.991 1839 2.32 1840 2.263 1841 2.071 1842 0.997 1843 0.976 1844 1.93 1845 0.694 1846 0.754 1847 -0.013 1848 0.882 1849 1.399 1850 1.356 1851 0.771 1852 1.429 1853 1.127 1854 0.83 1855 1.293 1856 1.143 1857 0.868 1858 1.63 1859 0.899 1860 1.386 1861 -0.013 1862 1.127 1863 0.71 1864 0.244 1865 0.815 1866 1.287 1867 1.296 1868 2.334 1869 1.685 1870 1.194 1871 0.462 1872 0.449 1873 0.618 1874 1.116 1875 1.003 1876 0.673 1877 1.124 1878 0.644 1879 0.266 1880 -0.013 1881 0.23 1882 0.967 1883 0.929 1884 1.249 1885 1.576 1886 1.257 1887 0.837 1888 1.783 1889 1.226 1890 1.142 1891 1.319 1892 0.79 1893 0.496 1894 0.332 1895 0.958 1896 0.539 1897 0.615 1898 0.733 1899 0.027 1900 -0.013 1901 0.454 1902 0.146 1903 0.422 1904 -0.013 1905 0.814 1906 1.025 1907 1.307 1908 1.396 1909 1.051 1910 1.113 1911 1.735 1912 1.228 1913 0.759 1914 1.4 1915 1.868 1916 2.616 1917 1.788 1918 1.57 1919 1.91 1920 1.721 1921 1.59 1922 1.166 1923 0.85 1924 1.407 1925 0.894 1926 1.33 1927 1.091 1928 0.843 1929 1.251 1930 1.242 1931 0.767 1932 1.31 1933 0.952 1934 0.674 1935 0.845 1936 0.829 1937 1.218 1938 1.082 1939 0.89 1940 0.793 1941 1.534 1942 1.633 1943 1.096 1944 1.046 1945 1.348 1946 0.897 1947 1.36 1948 1.498 1949 1.892 1950 0.835 1951 -0.012 1952 1.172 1953 0.643 1954 0.805 1955 0.385 1956 0.223 1957 0.905 1958 0.823 1959 0.363 1960 1.028 1961 0.539 1962 1.104 1963 0.849 1964 0.723 1965 1.489 1966 0.994 1967 0.702 1968 1.269 1969 1.175 1970 1.046 1971 0.304 1972 1.201