# northamerica_usa_ga004 - Ocmulgee River - 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/4913 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ga004 - Ocmulgee River - 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: Ocmulgee River # Location: # Country: United States # Northernmost_Latitude: 32.05 # Southernmost_Latitude: 32.05 # Easternmost_Longitude: -83.3 # Westernmost_Longitude: -83.3 # Elevation: 53 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ga004B # Earliest_Year: 1202 # Most_Recent_Year: 1984 # 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":"4.11644089924","T2":"18.8627109243","M1":"0.0224685316643","M2":"0.590246792926"}} #-------------------- # Species # Species_Name: baldcypress # Species_Code: TADI #-------------------- # 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 1202 1.494 1203 0.996 1204 0.523 1205 0.53 1206 0.7 1207 0.986 1208 1.247 1209 1.526 1210 1.283 1211 1.436 1212 0.434 1213 1.057 1214 0.718 1215 0.647 1216 0.398 1217 0.413 1218 0.549 1219 1.185 1220 0.903 1221 0.853 1222 1.396 1223 0.911 1224 1.809 1225 1.38 1226 1.011 1227 0.801 1228 1.364 1229 1.083 1230 0.995 1231 0.834 1232 1.295 1233 0.841 1234 0.772 1235 0.998 1236 0.906 1237 0.745 1238 0.971 1239 1.129 1240 1.077 1241 0.941 1242 1.715 1243 1.304 1244 1.049 1245 1.067 1246 0.929 1247 0.765 1248 1.022 1249 1.233 1250 1.743 1251 1.18 1252 1.214 1253 1.341 1254 1.424 1255 1.001 1256 0.907 1257 0.797 1258 1.142 1259 1.021 1260 0.968 1261 1.01 1262 0.974 1263 1.037 1264 1.213 1265 1.051 1266 0.622 1267 0.698 1268 0.787 1269 0.878 1270 0.792 1271 0.892 1272 0.835 1273 0.916 1274 0.705 1275 0.871 1276 1.072 1277 1.094 1278 1.126 1279 0.974 1280 0.945 1281 0.566 1282 0.657 1283 0.923 1284 0.813 1285 1.403 1286 1.306 1287 1.167 1288 0.625 1289 1.01 1290 1.622 1291 0.741 1292 0.907 1293 0.768 1294 0.669 1295 1.215 1296 1.081 1297 0.746 1298 0.716 1299 0.993 1300 1.453 1301 0.602 1302 0.586 1303 0.476 1304 0.684 1305 0.56 1306 1.143 1307 0.535 1308 0.721 1309 0.643 1310 0.724 1311 0.574 1312 0.293 1313 1.092 1314 1.255 1315 0.504 1316 0.773 1317 0.978 1318 1.07 1319 0.9 1320 1.032 1321 1.153 1322 0.982 1323 0.663 1324 0.581 1325 0.54 1326 0.847 1327 0.614 1328 0.675 1329 0.622 1330 1.116 1331 0.598 1332 1.487 1333 0.448 1334 1.084 1335 0.473 1336 0.548 1337 0.622 1338 1.219 1339 0.615 1340 0.93 1341 1.105 1342 0.553 1343 1.167 1344 1.35 1345 1.138 1346 0.739 1347 0.871 1348 0.995 1349 0.916 1350 1.14 1351 0.891 1352 1.038 1353 0.98 1354 0.707 1355 1.017 1356 1.015 1357 1.297 1358 1.659 1359 0.663 1360 0.87 1361 1.508 1362 1.064 1363 1.029 1364 1.344 1365 0.909 1366 2.378 1367 0.696 1368 1.9 1369 0.691 1370 0.861 1371 1.818 1372 0.719 1373 1.138 1374 0.808 1375 0.8 1376 0.613 1377 0.996 1378 1.161 1379 0.942 1380 1.131 1381 0.916 1382 1.519 1383 1.349 1384 1.611 1385 1.348 1386 1.394 1387 1.554 1388 1.488 1389 0.792 1390 1.761 1391 2.587 1392 1.365 1393 1.164 1394 1.869 1395 0.863 1396 1.101 1397 0.808 1398 0.613 1399 0.837 1400 0.885 1401 0.703 1402 0.962 1403 0.652 1404 1.084 1405 0.631 1406 0.811 1407 0.443 1408 0.771 1409 0.676 1410 0.675 1411 0.631 1412 0.869 1413 0.7 1414 0.889 1415 1.195 1416 0.518 1417 0.698 1418 1.463 1419 0.856 1420 0.73 1421 0.522 1422 0.744 1423 0.591 1424 1.142 1425 1.213 1426 0.91 1427 0.564 1428 1.037 1429 1.281 1430 1.539 1431 0.899 1432 1.834 1433 1.131 1434 1.181 1435 1.522 1436 1.162 1437 0.829 1438 0.877 1439 1.44 1440 0.877 1441 1.086 1442 0.687 1443 1.228 1444 0.558 1445 0.879 1446 0.711 1447 1.74 1448 1.81 1449 1.215 1450 0.852 1451 0.993 1452 1.115 1453 0.546 1454 0.781 1455 0.652 1456 0.539 1457 1.177 1458 1.012 1459 0.977 1460 0.862 1461 1.447 1462 1.436 1463 0.582 1464 1.068 1465 1.095 1466 1.176 1467 0.67 1468 0.878 1469 0.513 1470 0.662 1471 0.315 1472 0.273 1473 0.801 1474 0.723 1475 0.897 1476 1.126 1477 1.281 1478 1.13 1479 1.307 1480 1.699 1481 1.302 1482 1.477 1483 1.235 1484 1.257 1485 1.608 1486 0.317 1487 1.032 1488 0.735 1489 0.256 1490 0.597 1491 0.291 1492 0.414 1493 1.356 1494 0.971 1495 0.704 1496 0.559 1497 0.928 1498 1.055 1499 0.985 1500 1.016 1501 0.616 1502 0.668 1503 1.415 1504 0.675 1505 0.765 1506 0.983 1507 1.447 1508 1.021 1509 0.658 1510 0.823 1511 1.293 1512 0.986 1513 1.129 1514 0.874 1515 0.625 1516 1.417 1517 0.936 1518 0.861 1519 0.785 1520 0.704 1521 0.603 1522 0.717 1523 0.89 1524 0.624 1525 0.474 1526 0.875 1527 0.888 1528 0.539 1529 0.661 1530 0.455 1531 0.992 1532 1.31 1533 0.842 1534 0.948 1535 0.515 1536 0.713 1537 0.842 1538 0.9 1539 1.03 1540 0.669 1541 1.793 1542 0.254 1543 0.572 1544 0.573 1545 0.74 1546 0.796 1547 0.776 1548 0.809 1549 0.8 1550 1.231 1551 0.894 1552 0.423 1553 0.973 1554 0.858 1555 0.795 1556 1.063 1557 0.671 1558 0.944 1559 1.066 1560 1.027 1561 1.047 1562 1.109 1563 1.187 1564 0.836 1565 1.191 1566 0.649 1567 0.71 1568 0.922 1569 0.614 1570 1.071 1571 1.379 1572 1.786 1573 1.357 1574 1.739 1575 1.217 1576 1.801 1577 1.365 1578 1.286 1579 1.286 1580 1.416 1581 1.059 1582 1.328 1583 0.555 1584 0.977 1585 0.404 1586 0.702 1587 0.349 1588 0.575 1589 0.359 1590 0.678 1591 0.81 1592 0.681 1593 0.713 1594 0.908 1595 0.692 1596 1.326 1597 1.07 1598 0.444 1599 0.58 1600 1.344 1601 1.627 1602 1.463 1603 1.517 1604 1.354 1605 2.358 1606 1.547 1607 1.321 1608 1.161 1609 1.082 1610 0.861 1611 0.611 1612 0.704 1613 1.265 1614 0.818 1615 1.047 1616 0.571 1617 0.879 1618 0.49 1619 0.592 1620 0.483 1621 0.658 1622 0.717 1623 1.079 1624 0.674 1625 0.943 1626 0.962 1627 0.692 1628 0.728 1629 0.853 1630 1.256 1631 1.175 1632 1.048 1633 0.714 1634 0.615 1635 1.267 1636 0.96 1637 1.02 1638 0.463 1639 1.354 1640 1.4 1641 0.625 1642 1.152 1643 0.477 1644 0.566 1645 0.734 1646 1.842 1647 1.224 1648 0.691 1649 1.483 1650 1.3 1651 1.433 1652 0.814 1653 1.3 1654 0.729 1655 1.819 1656 0.638 1657 0.876 1658 0.713 1659 0.503 1660 0.932 1661 1.067 1662 0.851 1663 0.872 1664 0.648 1665 0.857 1666 0.899 1667 1.401 1668 1.598 1669 1.834 1670 1.572 1671 1.192 1672 0.629 1673 1.015 1674 1.445 1675 1.319 1676 0.634 1677 1.346 1678 0.988 1679 1.318 1680 1.976 1681 0.907 1682 0.951 1683 0.728 1684 0.589 1685 0.581 1686 0.995 1687 0.704 1688 1.26 1689 1.245 1690 1.113 1691 1.119 1692 1.258 1693 0.756 1694 0.468 1695 0.81 1696 0.645 1697 0.883 1698 1.127 1699 0.381 1700 0.683 1701 0.776 1702 0.975 1703 0.641 1704 0.779 1705 1.352 1706 0.777 1707 0.747 1708 0.633 1709 0.688 1710 0.889 1711 1.343 1712 1.008 1713 0.799 1714 0.775 1715 0.624 1716 1.463 1717 1.652 1718 0.455 1719 1.683 1720 0.653 1721 1.368 1722 0.621 1723 1.095 1724 0.667 1725 0.324 1726 0.859 1727 0.743 1728 0.97 1729 1.354 1730 1.093 1731 1.24 1732 1.499 1733 2.417 1734 1.439 1735 0.744 1736 2.088 1737 1.276 1738 0.602 1739 0.976 1740 1.089 1741 1.267 1742 2.052 1743 1.175 1744 1.067 1745 0.948 1746 0.593 1747 0.627 1748 0.76 1749 1.141 1750 0.65 1751 0.983 1752 0.732 1753 1.079 1754 0.559 1755 0.812 1756 0.424 1757 0.578 1758 0.434 1759 0.477 1760 0.209 1761 0.705 1762 0.44 1763 0.579 1764 0.2 1765 0.561 1766 1.161 1767 0.879 1768 1.637 1769 1.644 1770 1.548 1771 1.561 1772 0.917 1773 0.719 1774 0.989 1775 0.901 1776 1.093 1777 0.816 1778 0.567 1779 0.815 1780 0.763 1781 0.636 1782 0.802 1783 0.512 1784 0.329 1785 1.436 1786 1.068 1787 0.641 1788 0.847 1789 0.782 1790 0.677 1791 0.511 1792 0.964 1793 1.011 1794 0.643 1795 0.535 1796 0.844 1797 0.482 1798 0.286 1799 0.307 1800 0.963 1801 0.565 1802 0.452 1803 0.755 1804 1.083 1805 1.262 1806 1.281 1807 0.951 1808 1.135 1809 0.499 1810 0.911 1811 0.469 1812 0.462 1813 0.748 1814 0.53 1815 0.679 1816 0.475 1817 0.782 1818 0.445 1819 0.552 1820 0.772 1821 1.41 1822 0.768 1823 1.198 1824 0.746 1825 1.441 1826 0.726 1827 1.375 1828 0.731 1829 1.342 1830 0.828 1831 0.891 1832 1.004 1833 1.682 1834 1.089 1835 1.565 1836 1.275 1837 0.565 1838 1.269 1839 0.34 1840 0.978 1841 1.093 1842 1.377 1843 0.794 1844 0.779 1845 0.455 1846 1.162 1847 1.141 1848 0.381 1849 0.839 1850 0.698 1851 0.715 1852 0.924 1853 0.929 1854 1.255 1855 0.829 1856 0.585 1857 0.925 1858 1.559 1859 1.001 1860 1.062 1861 0.912 1862 2.828 1863 1.834 1864 1.572 1865 1.203 1866 1.863 1867 0.422 1868 1.146 1869 0.553 1870 0.847 1871 1.131 1872 0.866 1873 1.124 1874 1.26 1875 0.614 1876 0.956 1877 0.339 1878 0.579 1879 0.473 1880 1.204 1881 0.88 1882 1.909 1883 0.772 1884 1.66 1885 0.585 1886 1.862 1887 0.202 1888 1.225 1889 0.449 1890 0.481 1891 0.745 1892 0.959 1893 0.415 1894 0.476 1895 1.4 1896 0.336 1897 0.758 1898 0.277 1899 0.704 1900 1.286 1901 0.825 1902 0.767 1903 1.59 1904 0.532 1905 0.861 1906 1.139 1907 0.881 1908 1.209 1909 1.409 1910 1.013 1911 0.376 1912 1.703 1913 0.651 1914 0.587 1915 1.07 1916 1.4 1917 1.387 1918 0.507 1919 1.607 1920 1.202 1921 0.723 1922 1.997 1923 1.265 1924 1.134 1925 0.528 1926 0.673 1927 0.656 1928 1.546 1929 1.77 1930 1.066 1931 0.624 1932 0.759 1933 1.076 1934 1.417 1935 0.787 1936 0.972 1937 1.112 1938 0.657 1939 0.777 1940 0.801 1941 0.962 1942 0.739 1943 1.725 1944 0.791 1945 1.092 1946 0.973 1947 1.378 1948 0.755 1949 1.298 1950 0.323 1951 0.649 1952 0.82 1953 1.114 1954 0.641 1955 0.542 1956 0.561 1957 1.543 1958 1.195 1959 1.023 1960 1.135 1961 1.121 1962 0.805 1963 1.493 1964 0.543 1965 0.851 1966 1.158 1967 0.353 1968 0.77 1969 0.614 1970 1.18 1971 1.114 1972 1.123 1973 1.613 1974 1.07 1975 1.122 1976 1.212 1977 0.801 1978 1.09 1979 1.153 1980 1.093 1981 0.618 1982 1.259 1983 0.917 1984 1.503