# northamerica_usa_co610 - McPhee - 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/5314 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co610 - McPhee - 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: McPhee # Location: # Country: United States # Northernmost_Latitude: 37.58 # Southernmost_Latitude: 37.58 # Easternmost_Longitude: -108.58 # Westernmost_Longitude: -108.58 # Elevation: 2195 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co610B # Earliest_Year: 1270 # Most_Recent_Year: 2002 # 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":"3.87661904512","T2":"16.4748781539","M1":"0.022727317004","M2":"0.484821886053"}} #-------------------- # 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 0.755 1271 0.677 1272 0.363 1273 0.246 1274 0.469 1275 0.733 1276 0.483 1277 0.642 1278 0.59 1279 0.604 1280 0.631 1281 0.605 1282 1.284 1283 0.646 1284 0.7 1285 0.487 1286 0.675 1287 0.394 1288 0.3 1289 0.704 1290 0.952 1291 0.746 1292 0.418 1293 0.551 1294 0.444 1295 0.311 1296 0.71 1297 0.886 1298 1.005 1299 0.722 1300 0.795 1301 1.081 1302 1.131 1303 0.979 1304 1.048 1305 1.33 1306 0.918 1307 0.596 1308 0.902 1309 1.005 1310 1.024 1311 1.268 1312 1.369 1313 1.303 1314 1.099 1315 1.152 1316 0.447 1317 0.629 1318 1.024 1319 1.29 1320 0.946 1321 1.296 1322 1.079 1323 1.102 1324 0.768 1325 1.329 1326 1.506 1327 1.319 1328 1.159 1329 1.557 1330 1.374 1331 1.716 1332 1.238 1333 1.536 1334 1.352 1335 1.064 1336 1.158 1337 1.29 1338 0.485 1339 0.929 1340 0.787 1341 0.933 1342 1.052 1343 0.902 1344 0.742 1345 0.918 1346 1.113 1347 0.909 1348 0.934 1349 1.287 1350 0.822 1351 0.92 1352 0.466 1353 1.317 1354 1.092 1355 0.542 1356 1.2 1357 1.386 1358 1.054 1359 0.91 1360 0.614 1361 0.727 1362 0.592 1363 0.844 1364 0.468 1365 0.708 1366 0.813 1367 0.841 1368 1.037 1369 0.748 1370 1.179 1371 0.743 1372 0.872 1373 0.754 1374 0.95 1375 0.537 1376 0.503 1377 0.69 1378 0.943 1379 0.979 1380 0.992 1381 0.988 1382 0.949 1383 0.843 1384 1.133 1385 1.021 1386 0.966 1387 1.132 1388 1.043 1389 0.956 1390 0.408 1391 0.815 1392 0.937 1393 0.868 1394 0.98 1395 1.158 1396 1.388 1397 1.412 1398 1.084 1399 0.609 1400 0.734 1401 1.231 1402 0.784 1403 1.145 1404 1.578 1405 1.808 1406 1.34 1407 1.093 1408 1.292 1409 1.257 1410 0.753 1411 0.796 1412 0.885 1413 0.738 1414 1.531 1415 1.303 1416 0.904 1417 1.1 1418 1.045 1419 1.107 1420 1.18 1421 0.986 1422 0.971 1423 0.575 1424 1.224 1425 0.756 1426 1.417 1427 1.306 1428 1.333 1429 1.064 1430 1.176 1431 1.747 1432 1.195 1433 1.328 1434 1.558 1435 1.058 1436 0.891 1437 0.886 1438 0.898 1439 1.061 1440 1.322 1441 1.586 1442 0.825 1443 0.877 1444 0.794 1445 0.943 1446 0.995 1447 1.511 1448 1.273 1449 0.691 1450 0.669 1451 1.278 1452 1.003 1453 1.241 1454 1.128 1455 0.454 1456 0.489 1457 0.706 1458 1.306 1459 1.202 1460 0.611 1461 0.515 1462 1.258 1463 0.988 1464 0.301 1465 0.634 1466 1.19 1467 1.125 1468 0.868 1469 0.815 1470 0.793 1471 0.534 1472 0.51 1473 0.699 1474 1.065 1475 0.71 1476 1.089 1477 1.144 1478 1.332 1479 0.822 1480 0.762 1481 0.817 1482 1.265 1483 0.875 1484 1.395 1485 1.247 1486 1.051 1487 0.762 1488 0.992 1489 0.848 1490 1.018 1491 1.276 1492 1.233 1493 1.176 1494 1.304 1495 0.562 1496 0.969 1497 1.133 1498 1.395 1499 0.907 1500 -0.012 1501 0.76 1502 1.144 1503 1.298 1504 1.073 1505 0.474 1506 0.438 1507 0.882 1508 0.922 1509 1.395 1510 1.167 1511 0.975 1512 1.144 1513 1.295 1514 1.256 1515 0.713 1516 0.813 1517 0.824 1518 0.907 1519 1.124 1520 1.088 1521 1.405 1522 0.778 1523 0.975 1524 1.112 1525 1.312 1526 1.085 1527 1.038 1528 0.754 1529 0.788 1530 1.088 1531 0.928 1532 0.252 1533 0.776 1534 0.957 1535 0.858 1536 1.205 1537 1.239 1538 0.895 1539 1.077 1540 1.071 1541 1.186 1542 0.214 1543 0.93 1544 0.972 1545 0.609 1546 0.925 1547 0.791 1548 0.796 1549 0.963 1550 0.837 1551 0.521 1552 0.925 1553 1.093 1554 0.87 1555 0.893 1556 1.126 1557 1.309 1558 0.915 1559 0.694 1560 0.943 1561 0.922 1562 0.752 1563 0.912 1564 1.032 1565 1.271 1566 1.25 1567 0.799 1568 1.104 1569 1.125 1570 1.203 1571 1.098 1572 1.091 1573 0.589 1574 0.599 1575 0.892 1576 0.748 1577 0.993 1578 0.904 1579 0.541 1580 0.368 1581 0.961 1582 0.782 1583 0.643 1584 0.304 1585 0.159 1586 1.069 1587 1.125 1588 1.062 1589 1.191 1590 0.543 1591 0.863 1592 0.837 1593 1.04 1594 1.319 1595 1.169 1596 1.396 1597 1.2 1598 1.065 1599 1.414 1600 0.605 1601 1.047 1602 1.233 1603 1.044 1604 1.207 1605 1.335 1606 1.294 1607 0.982 1608 1.152 1609 1.19 1610 1.296 1611 1.167 1612 0.899 1613 1.124 1614 1.129 1615 1.259 1616 1.11 1617 1.29 1618 1.457 1619 1.166 1620 1.261 1621 1.346 1622 0.931 1623 0.615 1624 0.641 1625 0.734 1626 0.407 1627 0.984 1628 0.762 1629 0.864 1630 1.067 1631 0.812 1632 0.286 1633 1.179 1634 1.162 1635 1.252 1636 1.015 1637 1.028 1638 0.903 1639 0.85 1640 1.34 1641 1.207 1642 1.175 1643 1.328 1644 1.205 1645 0.988 1646 1.113 1647 1.119 1648 0.867 1649 1.098 1650 1.257 1651 1.349 1652 0.836 1653 0.959 1654 0.478 1655 0.793 1656 0.725 1657 0.642 1658 0.746 1659 0.943 1660 1.085 1661 0.987 1662 1.109 1663 1.159 1664 1.122 1665 1.001 1666 0.598 1667 0.591 1668 0.68 1669 1.12 1670 0.683 1671 0.944 1672 1.266 1673 1.275 1674 1.214 1675 0.923 1676 0.939 1677 0.884 1678 1.114 1679 0.953 1680 1.122 1681 1.193 1682 0.937 1683 1.271 1684 0.798 1685 0.148 1686 0.718 1687 1.045 1688 1.111 1689 1.153 1690 1.265 1691 1.094 1692 1.273 1693 1.256 1694 0.945 1695 1.214 1696 0.863 1697 1.072 1698 1.18 1699 1.378 1700 0.895 1701 1.416 1702 0.985 1703 0.826 1704 1.028 1705 1.376 1706 1.204 1707 0.852 1708 0.713 1709 1.21 1710 1.111 1711 1.244 1712 0.849 1713 0.788 1714 0.749 1715 1.193 1716 1.114 1717 1.009 1718 1.411 1719 1.183 1720 1.701 1721 0.997 1722 0.771 1723 0.913 1724 0.812 1725 1.361 1726 1.327 1727 1.245 1728 1.07 1729 0.39 1730 1.061 1731 0.655 1732 1.029 1733 0.691 1734 1.296 1735 -0.019 1736 0.796 1737 0.933 1738 1.19 1739 0.777 1740 0.849 1741 1.155 1742 0.858 1743 1.294 1744 0.895 1745 1.151 1746 1.198 1747 1.061 1748 0.287 1749 1.128 1750 0.696 1751 0.943 1752 0.802 1753 0.903 1754 0.702 1755 0.309 1756 0.745 1757 0.568 1758 0.7 1759 0.809 1760 0.91 1761 0.702 1762 0.897 1763 0.719 1764 1.14 1765 0.511 1766 1.12 1767 1.002 1768 0.958 1769 0.859 1770 0.935 1771 1.247 1772 1.079 1773 0.451 1774 0.828 1775 1.06 1776 0.922 1777 1.059 1778 0.519 1779 0.931 1780 0.571 1781 0.966 1782 0.564 1783 1.046 1784 1.424 1785 1.286 1786 1.024 1787 1.473 1788 0.573 1789 0.86 1790 0.775 1791 1.408 1792 1.132 1793 1.286 1794 0.969 1795 1.169 1796 0.901 1797 1.285 1798 0.998 1799 1.37 1800 1.141 1801 0.891 1802 1.386 1803 0.914 1804 1.26 1805 0.638 1806 0.982 1807 1.16 1808 0.824 1809 0.624 1810 0.902 1811 1.273 1812 0.949 1813 0.468 1814 0.82 1815 1.074 1816 1.329 1817 1.082 1818 0.401 1819 0.352 1820 0.293 1821 1.056 1822 0.45 1823 0.339 1824 0.663 1825 0.967 1826 1.154 1827 0.929 1828 1.41 1829 1.069 1830 1.096 1831 0.94 1832 1.273 1833 1.241 1834 0.776 1835 1.159 1836 1.109 1837 1.156 1838 1.471 1839 1.497 1840 1.23 1841 1.21 1842 0.621 1843 0.877 1844 1.228 1845 0.691 1846 0.968 1847 0.175 1848 0.928 1849 1.767 1850 1.414 1851 0.419 1852 1.313 1853 1.459 1854 1.008 1855 1.038 1856 1.13 1857 0.986 1858 1.223 1859 0.773 1860 1.11 1861 0.237 1862 1.467 1863 0.98 1864 0.396 1865 1.133 1866 1.409 1867 1.443 1868 1.534 1869 1.499 1870 0.958 1871 0.776 1872 0.867 1873 0.766 1874 0.981 1875 0.961 1876 0.551 1877 1.047 1878 0.671 1879 -0.037 1880 0.676 1881 0.397 1882 0.59 1883 0.373 1884 0.913 1885 1.098 1886 0.911 1887 0.512 1888 1.038 1889 0.962 1890 1.342 1891 1.235 1892 0.906 1893 0.508 1894 0.37 1895 0.605 1896 0.199 1897 1.033 1898 0.777 1899 -0.053 1900 0.584 1901 1.045 1902 0.173 1903 0.92 1904 0.144 1905 1.31 1906 1.155 1907 1.213 1908 0.973 1909 1.148 1910 0.85 1911 1.437 1912 1.371 1913 1.108 1914 1.843 1915 1.565 1916 1.603 1917 1.533 1918 1.126 1919 0.874 1920 1.726 1921 1.441 1922 1.287 1923 0.954 1924 1.133 1925 0.624 1926 1.419 1927 1.115 1928 1.187 1929 1.3 1930 1.259 1931 0.861 1932 1.417 1933 0.859 1934 0.759 1935 1.059 1936 0.893 1937 1.165 1938 1.25 1939 0.663 1940 0.809 1941 1.423 1942 1.382 1943 1.124 1944 0.869 1945 0.911 1946 0.559 1947 1 1948 1 1949 1.08 1950 0.69 1951 0.539 1952 1.398 1953 0.697 1954 1.119 1955 0.849 1956 0.703 1957 1.503 1958 1.363 1959 0.602 1960 1.335 1961 0.718 1962 0.94 1963 0.919 1964 0.784 1965 1.344 1966 1.151 1967 0.849 1968 0.617 1969 1.031 1970 0.787 1971 1.16 1972 0.79 1973 1.433 1974 0.972 1975 1.421 1976 0.921 1977 0.18 1978 1.417 1979 1.435 1980 1.361 1981 0.895 1982 0.99 1983 1.503 1984 1.171 1985 1.433 1986 1.609 1987 1.497 1988 1.293 1989 0.758 1990 0.662 1991 0.861 1992 1.23 1993 1.31 1994 0.888 1995 1.521 1996 0.449 1997 1.495 1998 0.988 1999 1.302 2000 0.687 2001 0.662 2002 -0.043