# northamerica_usa_co557 - Pool Table Pines - 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/4279 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co557 - Pool Table Pines - 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: Pool Table Pines # Location: # Country: United States # Northernmost_Latitude: 37.78 # Southernmost_Latitude: 37.78 # Easternmost_Longitude: -106.82 # Westernmost_Longitude: -106.82 # Elevation: 2877 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co557B # Earliest_Year: 1690 # Most_Recent_Year: 1997 # 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":"2.08522647335","T2":"12.4154615733","M1":"0.0238613311885","M2":"0.614007065485"}} #-------------------- # 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 1690 1.167 1691 1.145 1692 1.162 1693 1.447 1694 1.152 1695 1.151 1696 0.913 1697 0.956 1698 1.258 1699 1.483 1700 0.649 1701 1.075 1702 1.173 1703 0.958 1704 0.917 1705 1.336 1706 1.337 1707 0.63 1708 0.755 1709 0.553 1710 1.095 1711 1.118 1712 0.98 1713 1.174 1714 0.865 1715 1.085 1716 0.558 1717 1.121 1718 1.22 1719 1.195 1720 1.578 1721 1.502 1722 0.984 1723 0.941 1724 0.95 1725 1.516 1726 1.592 1727 1.27 1728 1.092 1729 0.507 1730 0.909 1731 0.923 1732 1.021 1733 1.188 1734 1.324 1735 0.361 1736 1.032 1737 0.327 1738 0.938 1739 1.21 1740 1.199 1741 1.086 1742 0.929 1743 1.045 1744 1.274 1745 1.402 1746 1.279 1747 1.168 1748 0.196 1749 0.888 1750 0.803 1751 0.71 1752 0.093 1753 0.896 1754 1.091 1755 1.027 1756 0.923 1757 1.315 1758 1.436 1759 1.034 1760 1.124 1761 1.175 1762 1.364 1763 0.857 1764 1.155 1765 0.976 1766 0.953 1767 1.116 1768 1.055 1769 0.534 1770 1.096 1771 1.473 1772 0.927 1773 0.568 1774 1.114 1775 1.13 1776 1.013 1777 1.083 1778 0.622 1779 1.046 1780 0.34 1781 0.66 1782 0.359 1783 1.151 1784 1.28 1785 0.587 1786 0.29 1787 1.163 1788 0.849 1789 0.772 1790 1.19 1791 1.045 1792 0.442 1793 0.801 1794 0.776 1795 0.786 1796 0.699 1797 0.909 1798 0.743 1799 0.978 1800 1.107 1801 0.766 1802 1.118 1803 0.733 1804 1.032 1805 0.707 1806 0.609 1807 0.973 1808 0.694 1809 0.524 1810 0.689 1811 0.883 1812 0.818 1813 0.746 1814 1.053 1815 1.028 1816 1.162 1817 1.017 1818 0.35 1819 0.799 1820 0.591 1821 0.838 1822 0.437 1823 0.599 1824 0.184 1825 0.577 1826 0.762 1827 0.824 1828 1.313 1829 0.858 1830 0.675 1831 1.045 1832 1.257 1833 1.373 1834 1.196 1835 1.384 1836 1.584 1837 1.729 1838 1.285 1839 1.4 1840 1.49 1841 1.766 1842 1.506 1843 1.583 1844 1.275 1845 0.92 1846 0.768 1847 0.208 1848 0.667 1849 1.118 1850 1.036 1851 0.656 1852 0.972 1853 1.525 1854 1.325 1855 1.387 1856 1.484 1857 1.12 1858 1.485 1859 1.375 1860 1.78 1861 1.048 1862 1.478 1863 1.387 1864 1.261 1865 1.173 1866 1.486 1867 1.643 1868 1.63 1869 1.632 1870 1.108 1871 0.983 1872 0.745 1873 0.534 1874 0.717 1875 0.754 1876 0.891 1877 0.72 1878 0.843 1879 0.208 1880 0.793 1881 0.511 1882 0.605 1883 0.396 1884 0.971 1885 1.21 1886 1.23 1887 1.223 1888 1.276 1889 1.194 1890 1.105 1891 1.089 1892 1.173 1893 0.608 1894 0.853 1895 1.246 1896 0.699 1897 0.64 1898 0.911 1899 0.131 1900 0.444 1901 0.024 1902 -0.004 1903 0.727 1904 0.277 1905 0.835 1906 0.776 1907 1.383 1908 1.267 1909 1.171 1910 1.202 1911 1.298 1912 1.298 1913 1.13 1914 1.321 1915 1.202 1916 1.468 1917 1.406 1918 1.114 1919 1.52 1920 1.344 1921 1.493 1922 1.228 1923 1.44 1924 1.525 1925 1.371 1926 1.356 1927 1.568 1928 1.487 1929 1.293 1930 1.028 1931 0.884 1932 0.997 1933 0.637 1934 0.776 1935 1.031 1936 0.398 1937 0.781 1938 0.919 1939 0.798 1940 0.18 1941 1.212 1942 1.266 1943 1.005 1944 1.235 1945 1.115 1946 0.69 1947 0.886 1948 1.058 1949 1.377 1950 0.73 1951 0.3 1952 0.926 1953 0.726 1954 0.531 1955 0.337 1956 0.065 1957 0.574 1958 0.691 1959 0.401 1960 0.902 1961 0.621 1962 1.021 1963 0.582 1964 0.442 1965 1.289 1966 1.337 1967 0.619 1968 1.088 1969 1.437 1970 1.229 1971 0.953 1972 1.096 1973 0.983 1974 0.608 1975 1.07 1976 1.312 1977 0.494 1978 0.492 1979 0.827 1980 0.969 1981 0.83 1982 0.603 1983 0.967 1984 1.151 1985 1.575 1986 1.594 1987 1.683 1988 1.415 1989 1.483 1990 1.671 1991 1.281 1992 1.419 1993 1.404 1994 1.01 1995 1.443 1996 0.647 1997 1.453