# northamerica_usa_or015 - Frederick Butte - 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/3524 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or015 - Frederick Butte - 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: Frederick Butte # Location: # Country: United States # Northernmost_Latitude: 43.58 # Southernmost_Latitude: 43.58 # Easternmost_Longitude: -120.45 # Westernmost_Longitude: -120.45 # Elevation: 1494 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or015B # Earliest_Year: 1097 # Most_Recent_Year: 1982 # 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":"3.2821229368","T2":"15.6815203927","M1":"0.0240059782732","M2":"0.499243971022"}} #-------------------- # Species # Species_Name: western juniper # Species_Code: JUOC #-------------------- # 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 1097 1.154 1098 0.983 1099 0.364 1100 0.965 1101 1.481 1102 1.572 1103 1.267 1104 0.719 1105 1.548 1106 1.341 1107 1.277 1108 1.068 1109 0.914 1110 0.904 1111 1.085 1112 1.065 1113 1.01 1114 1.43 1115 0.901 1116 0.766 1117 1.12 1118 0.951 1119 0.93 1120 1.183 1121 1.151 1122 0.843 1123 1.385 1124 0.869 1125 0.777 1126 0.953 1127 1.756 1128 1.433 1129 1.121 1130 0.76 1131 0.562 1132 0.504 1133 1.517 1134 1.425 1135 0.411 1136 1.277 1137 1.599 1138 1.329 1139 0.83 1140 0.282 1141 0.653 1142 1.026 1143 0.871 1144 0.487 1145 0.342 1146 0.403 1147 0.937 1148 0.55 1149 1.074 1150 0.819 1151 1.187 1152 1.202 1153 0.921 1154 0.529 1155 0.394 1156 0.654 1157 0.803 1158 0.767 1159 1.054 1160 1.055 1161 0.471 1162 1.071 1163 0.584 1164 0.365 1165 0.817 1166 0.922 1167 0.977 1168 0.62 1169 1.109 1170 0.404 1171 0.49 1172 0.844 1173 1.086 1174 0.193 1175 1.202 1176 0.843 1177 1.173 1178 1.615 1179 1.039 1180 1.127 1181 0.995 1182 1.348 1183 0.195 1184 0.789 1185 0.368 1186 0.88 1187 0.637 1188 1.268 1189 0.724 1190 1.104 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0.648 1376 1.043 1377 0.835 1378 0.969 1379 0.101 1380 1.046 1381 0.631 1382 0.662 1383 0.936 1384 0.588 1385 1.034 1386 0.949 1387 1.391 1388 0.961 1389 0.836 1390 0.353 1391 1.226 1392 0.74 1393 0.888 1394 1.081 1395 0.973 1396 1.259 1397 1.147 1398 0.912 1399 0.714 1400 0.802 1401 1.702 1402 1.218 1403 1.368 1404 1.278 1405 1.593 1406 0.805 1407 0.411 1408 0.352 1409 0.465 1410 0.358 1411 1.468 1412 1.52 1413 0.244 1414 1.103 1415 0.843 1416 1.124 1417 1.107 1418 0.721 1419 0.74 1420 1.246 1421 1.126 1422 1.61 1423 1.413 1424 1.097 1425 0.586 1426 1.15 1427 0.983 1428 0.119 1429 1.303 1430 1.293 1431 1.42 1432 0.555 1433 1.288 1434 0.881 1435 1.365 1436 1.121 1437 0.929 1438 1.573 1439 0.679 1440 1.937 1441 1.77 1442 2.205 1443 1.369 1444 0.644 1445 1.756 1446 1.101 1447 1.434 1448 1.291 1449 1.514 1450 1.158 1451 1.356 1452 0.967 1453 1.135 1454 0.515 1455 0.886 1456 1.088 1457 0.866 1458 0.772 1459 0.76 1460 0.707 1461 0.93 1462 1.11 1463 1.291 1464 0.956 1465 0.506 1466 1.016 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1.06 1651 0.562 1652 0.178 1653 0.493 1654 0.768 1655 0.397 1656 1.524 1657 0.668 1658 0.925 1659 0.617 1660 0.213 1661 1.378 1662 0.857 1663 0.461 1664 0.799 1665 1.182 1666 1.079 1667 0.411 1668 1.029 1669 1.203 1670 0.721 1671 0.985 1672 1.173 1673 0.969 1674 0.913 1675 1.097 1676 0.909 1677 0.968 1678 0.934 1679 0.205 1680 0.699 1681 0.936 1682 0.957 1683 1.376 1684 1.489 1685 0.945 1686 0.269 1687 1.235 1688 0.825 1689 1.069 1690 0.944 1691 0.332 1692 1.004 1693 1.298 1694 1.068 1695 0.294 1696 1.093 1697 1.109 1698 0.24 1699 0.674 1700 1.454 1701 1.676 1702 1.695 1703 0.58 1704 1.47 1705 0.759 1706 0.405 1707 1.04 1708 0.505 1709 1.052 1710 1.117 1711 1.089 1712 1.052 1713 1.549 1714 0.591 1715 1.07 1716 1.46 1717 0.605 1718 0.905 1719 0.819 1720 0.521 1721 0.073 1722 0.626 1723 0.529 1724 0.612 1725 1.07 1726 0.936 1727 1.787 1728 1.049 1729 0.169 1730 1.393 1731 0.902 1732 1.053 1733 0.736 1734 1.373 1735 0.553 1736 0.46 1737 0.489 1738 0.868 1739 0.773 1740 1.098 1741 0.67 1742 0.822 1743 0.985 1744 1.14 1745 1.624 1746 1.547 1747 1.399 1748 1.176 1749 1.092 1750 1.294 1751 0.621 1752 0.932 1753 0.961 1754 1.099 1755 0.553 1756 0.438 1757 0.582 1758 0.772 1759 0.494 1760 0.545 1761 1.304 1762 0.91 1763 1.079 1764 0.59 1765 0.471 1766 0.978 1767 1.052 1768 1.378 1769 1.456 1770 0.613 1771 1.068 1772 1.089 1773 1.469 1774 1.16 1775 1.033 1776 0.415 1777 0.657 1778 0.414 1779 0.931 1780 0.808 1781 1.291 1782 1.17 1783 0.568 1784 1.152 1785 0.754 1786 0.992 1787 0.828 1788 0.616 1789 1.319 1790 1.565 1791 1.66 1792 0.98 1793 0.4 1794 0.272 1795 0.47 1796 1.125 1797 1.161 1798 1.482 1799 1.542 1800 0.021 1801 1.765 1802 1.529 1803 1.601 1804 1.441 1805 1.25 1806 1.453 1807 0.99 1808 1.238 1809 1.455 1810 1.367 1811 1.662 1812 1.5 1813 0.992 1814 0.954 1815 1.118 1816 1.206 1817 1.043 1818 1.469 1819 1.261 1820 1.233 1821 1.015 1822 0.614 1823 1.158 1824 1.235 1825 1.802 1826 1.565 1827 1.282 1828 0.98 1829 0.172 1830 1.26 1831 0.87 1832 1.008 1833 0.341 1834 0.381 1835 1.194 1836 0.987 1837 0.689 1838 0.947 1839 0.694 1840 0.841 1841 0.309 1842 1.003 1843 0.355 1844 0.639 1845 0.66 1846 0.674 1847 0.916 1848 0.687 1849 0.957 1850 1.141 1851 0.951 1852 0.737 1853 1.358 1854 1.032 1855 0.87 1856 0.841 1857 1.188 1858 0.722 1859 0.807 1860 0.744 1861 1.222 1862 1.595 1863 1.073 1864 0.663 1865 1.089 1866 1.702 1867 1.381 1868 1.419 1869 0.759 1870 0.858 1871 0.531 1872 0.836 1873 1.037 1874 0.881 1875 0.647 1876 1.187 1877 1.509 1878 1.269 1879 1.229 1880 0.723 1881 1.277 1882 0.705 1883 0.907 1884 1.102 1885 1.509 1886 1.004 1887 0.886 1888 0.733 1889 0.713 1890 0.988 1891 1.498 1892 1.128 1893 1.183 1894 1.732 1895 0.805 1896 0.731 1897 1.06 1898 0.671 1899 1.08 1900 1.08 1901 1.271 1902 1.3 1903 0.892 1904 1.709 1905 1.385 1906 1.747 1907 1.656 1908 1.016 1909 1.071 1910 0.936 1911 1.145 1912 0.895 1913 1.284 1914 1.714 1915 1.112 1916 1.624 1917 0.718 1918 0.132 1919 0.799 1920 0.9 1921 1.465 1922 0.834 1923 1.315 1924 0.474 1925 1.511 1926 0.39 1927 1.374 1928 0.79 1929 0.24 1930 0.329 1931 0.05 1932 0.72 1933 0.218 1934 -0.073 1935 0.397 1936 0.379 1937 0.42 1938 0.817 1939 0.346 1940 0.89 1941 0.957 1942 1.283 1943 1.303 1944 0.982 1945 0.951 1946 1.058 1947 0.532 1948 1.146 1949 0.75 1950 0.861 1951 1.076 1952 1.148 1953 1.414 1954 1.425 1955 0.225 1956 1.458 1957 0.99 1958 0.837 1959 0.347 1960 0.955 1961 0.653 1962 0.721 1963 1.21 1964 0.697 1965 1.536 1966 1.208 1967 1.32 1968 0.409 1969 1.22 1970 1.201 1971 1.048 1972 0.876 1973 0.544 1974 1.225 1975 0.724 1976 0.689 1977 0.679 1978 1.87 1979 1.022 1980 1.393 1981 1.317 1982 1.387