# northamerica_usa_co616 - Plug Hat 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/5324 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co616 - Plug Hat 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: Plug Hat Butte # Location: # Country: United States # Northernmost_Latitude: 40.78 # Southernmost_Latitude: 40.78 # Easternmost_Longitude: -108.97 # Westernmost_Longitude: -108.97 # Elevation: 2133 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co616B # Earliest_Year: 1270 # Most_Recent_Year: 2000 # 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":"4.74209584833","T2":"15.8307988262","M1":"0.0238597501453","M2":"0.47732886645"}} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1270 0.224 1271 0.467 1272 0.699 1273 0.491 1274 0.825 1275 0.701 1276 0.486 1277 0.447 1278 0.604 1279 0.675 1280 0.668 1281 0.623 1282 0.987 1283 0.79 1284 0.977 1285 0.586 1286 0.596 1287 0.663 1288 0.559 1289 0.828 1290 1.19 1291 1.031 1292 0.839 1293 0.879 1294 1.703 1295 0.635 1296 1.325 1297 0.802 1298 1.313 1299 1.476 1300 1.592 1301 0.903 1302 0.925 1303 1.951 1304 1.792 1305 1.751 1306 1.43 1307 1.051 1308 1.247 1309 1.103 1310 1.689 1311 1.77 1312 1.937 1313 2.047 1314 1.465 1315 1.699 1316 1.007 1317 0.755 1318 0.611 1319 0.808 1320 1.84 1321 1.844 1322 1.585 1323 1.297 1324 1.392 1325 0.897 1326 1.318 1327 0.767 1328 1.053 1329 0.889 1330 1.62 1331 1.655 1332 1.571 1333 1.769 1334 1.233 1335 0.56 1336 0.982 1337 1.046 1338 0.502 1339 1.106 1340 1.007 1341 1.182 1342 0.995 1343 0.834 1344 0.714 1345 0.518 1346 0.606 1347 0.966 1348 0.662 1349 0.734 1350 0.484 1351 0.796 1352 1.067 1353 0.945 1354 1.152 1355 0.793 1356 1.067 1357 1.41 1358 1.154 1359 1.435 1360 0.754 1361 0.894 1362 0.709 1363 0.813 1364 0.944 1365 1.022 1366 1.379 1367 0.864 1368 1.124 1369 0.808 1370 1.392 1371 0.914 1372 1.378 1373 0.967 1374 1.245 1375 0.475 1376 0.734 1377 1.229 1378 1.206 1379 0.992 1380 0.912 1381 0.707 1382 0.888 1383 1.065 1384 1.348 1385 1.271 1386 1.401 1387 0.863 1388 0.662 1389 0.623 1390 0.857 1391 0.944 1392 0.873 1393 1.125 1394 1.056 1395 1.449 1396 1.302 1397 0.986 1398 1.096 1399 0.556 1400 0.814 1401 0.947 1402 0.635 1403 0.632 1404 0.989 1405 1.114 1406 1.396 1407 0.916 1408 1.293 1409 1.442 1410 1.069 1411 1.414 1412 1.346 1413 1.366 1414 1.841 1415 0.978 1416 1.174 1417 1.361 1418 1.615 1419 0.855 1420 1.393 1421 0.331 1422 1.033 1423 0.844 1424 1.062 1425 1.243 1426 0.755 1427 1.167 1428 0.849 1429 1.152 1430 1.391 1431 1.87 1432 0.897 1433 1.055 1434 0.807 1435 0.64 1436 1.1 1437 0.691 1438 0.713 1439 0.679 1440 1.363 1441 1.18 1442 0.529 1443 1.455 1444 0.248 1445 0.889 1446 0.697 1447 1.583 1448 0.622 1449 1.015 1450 0.93 1451 1.518 1452 1.128 1453 0.577 1454 1.057 1455 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1638 0.401 1639 0.506 1640 0.986 1641 0.778 1642 1.147 1643 0.602 1644 1.016 1645 0.003 1646 0.262 1647 1.007 1648 0.663 1649 0.987 1650 0.996 1651 1.035 1652 0.872 1653 0.22 1654 0.612 1655 0.83 1656 0.621 1657 0.887 1658 0.807 1659 0.759 1660 0.89 1661 0.66 1662 0.992 1663 0.776 1664 1.018 1665 0.398 1666 0.884 1667 0.573 1668 0.744 1669 1.215 1670 0.507 1671 0.653 1672 0.886 1673 1.424 1674 1.335 1675 1.049 1676 1.766 1677 0.676 1678 1.425 1679 1.135 1680 1.518 1681 1.519 1682 1.213 1683 1.71 1684 1.084 1685 0.497 1686 0.237 1687 1.453 1688 1.339 1689 0.677 1690 0.867 1691 0.931 1692 0.885 1693 1.166 1694 0.901 1695 0.743 1696 0.806 1697 0.649 1698 0.861 1699 1.291 1700 0.943 1701 1.098 1702 1.106 1703 1.03 1704 1.022 1705 1.335 1706 1.074 1707 0.711 1708 0.457 1709 1.106 1710 0.745 1711 0.792 1712 0.838 1713 0.523 1714 0.413 1715 1.191 1716 1.093 1717 0.915 1718 1.364 1719 1.301 1720 1.782 1721 0.587 1722 0.692 1723 1.571 1724 0.89 1725 1.406 1726 1.528 1727 1.186 1728 1.384 1729 0.587 1730 1.066 1731 0.933 1732 0.786 1733 1.158 1734 1.382 1735 0.233 1736 0.57 1737 0.866 1738 1.208 1739 1.014 1740 0.562 1741 0.885 1742 0.74 1743 1.1 1744 0.58 1745 0.875 1746 1.283 1747 1.362 1748 0.691 1749 1.163 1750 1.099 1751 0.767 1752 0.696 1753 0.862 1754 0.915 1755 0.856 1756 0.518 1757 0.853 1758 0.941 1759 1.048 1760 0.847 1761 1.269 1762 0.858 1763 0.638 1764 1.298 1765 0.296 1766 1.487 1767 0.943 1768 1.519 1769 1.512 1770 1.579 1771 0.991 1772 0.939 1773 0.351 1774 0.665 1775 1.187 1776 0.945 1777 1.002 1778 0.873 1779 1.008 1780 0.537 1781 1.206 1782 0.145 1783 0.753 1784 1.639 1785 0.853 1786 0.73 1787 1.288 1788 0.888 1789 1.075 1790 1.443 1791 1.244 1792 1.122 1793 0.909 1794 0.876 1795 0.804 1796 1.069 1797 1.348 1798 0.079 1799 1.29 1800 0.443 1801 0.704 1802 1.095 1803 1.095 1804 0.789 1805 1.076 1806 0.408 1807 1.356 1808 0.841 1809 1.149 1810 1.471 1811 1.999 1812 1.099 1813 0.787 1814 0.902 1815 1.428 1816 1.451 1817 1.024 1818 0.877 1819 1.583 1820 0.857 1821 1.152 1822 0.837 1823 0.628 1824 0.276 1825 0.87 1826 0.994 1827 0.927 1828 1.227 1829 0.724 1830 1.188 1831 1.25 1832 1.754 1833 0.84 1834 1.035 1835 1.333 1836 1.189 1837 1.332 1838 1.612 1839 1.388 1840 1.409 1841 1.367 1842 0.459 1843 1.322 1844 0.988 1845 0.326 1846 0.565 1847 0.493 1848 1.029 1849 1.779 1850 1.12 1851 0.623 1852 1.057 1853 1.375 1854 0.958 1855 1.095 1856 0.993 1857 0.994 1858 1.321 1859 1.244 1860 0.914 1861 0.466 1862 1.678 1863 0.864 1864 0.633 1865 0.835 1866 1.433 1867 1.383 1868 1.342 1869 1.097 1870 1.313 1871 0.379 1872 1.259 1873 0.67 1874 0.954 1875 0.954 1876 0.955 1877 0.714 1878 1.064 1879 0.647 1880 0.95 1881 0.642 1882 0.836 1883 0.943 1884 1.39 1885 1.151 1886 0.884 1887 0.732 1888 0.853 1889 0.548 1890 1.317 1891 0.841 1892 0.728 1893 0.584 1894 0.906 1895 1.392 1896 0.464 1897 0.981 1898 1.549 1899 0.906 1900 0.443 1901 1.111 1902 0.311 1903 1.316 1904 1.118 1905 1.034 1906 1.409 1907 1.16 1908 0.956 1909 0.991 1910 1.052 1911 1.055 1912 1.424 1913 1.13 1914 1.631 1915 1.292 1916 1.12 1917 1.28 1918 1.409 1919 1.051 1920 1.687 1921 1.414 1922 0.961 1923 1.178 1924 0.907 1925 0.968 1926 0.828 1927 1.322 1928 1.04 1929 0.902 1930 0.654 1931 0.59 1932 1.206 1933 0.69 1934 0.26 1935 0.568 1936 0.202 1937 0.913 1938 1.038 1939 0.864 1940 0.995 1941 1.242 1942 1.141 1943 1.008 1944 1.032 1945 1.086 1946 0.65 1947 1.531 1948 0.999 1949 1.397 1950 1.056 1951 0.731 1952 1.137 1953 0.868 1954 0.67 1955 0.721 1956 0.132 1957 0.902 1958 0.658 1959 -0.03 1960 0.836 1961 0.39 1962 1.149 1963 0.539 1964 0.529 1965 1.474 1966 0.794 1967 0.864 1968 0.808 1969 1.026 1970 1.308 1971 1.44 1972 0.766 1973 1.572 1974 1.087 1975 1.311 1976 1.131 1977 -0.03 1978 1.202 1979 1.01 1980 0.985 1981 0.996 1982 1.258 1983 1.393 1984 1.441 1985 1.516 1986 1.508 1987 1.375 1988 1.182 1989 0.458 1990 1.018 1991 1.196 1992 1.209 1993 1.228 1994 0.759 1995 1.405 1996 0.908 1997 1.206 1998 1.311 1999 1.233 2000 0.721