# northamerica_usa_id014 - Salmon River Valley - 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/2761 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_id014 - Salmon River Valley - 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: Salmon River Valley # Location: # Country: United States # Northernmost_Latitude: 44.42 # Southernmost_Latitude: 44.42 # Easternmost_Longitude: -114.25 # Westernmost_Longitude: -114.25 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_id014B # Earliest_Year: 1135 # Most_Recent_Year: 1996 # 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":"2.74796747354","T2":"12.6965935753","M1":"0.0235797351113","M2":"0.58136636181"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1135 1.102 1136 1.037 1137 1.328 1138 1.54 1139 1.588 1140 1.245 1141 1.248 1142 1.661 1143 1.454 1144 1.469 1145 0.974 1146 1.059 1147 1.097 1148 1.028 1149 0.874 1150 0.826 1151 0.698 1152 1.071 1153 1.101 1154 1.113 1155 0.991 1156 0.974 1157 0.899 1158 0.812 1159 0.521 1160 0.802 1161 0.811 1162 0.707 1163 0.859 1164 0.684 1165 0.769 1166 0.883 1167 0.974 1168 0.95 1169 0.698 1170 0.775 1171 0.834 1172 0.949 1173 0.868 1174 0.758 1175 0.79 1176 0.761 1177 0.795 1178 0.906 1179 0.735 1180 0.735 1181 0.75 1182 0.793 1183 0.568 1184 0.79 1185 1.099 1186 0.917 1187 0.792 1188 0.896 1189 1.044 1190 0.858 1191 0.867 1192 1.079 1193 0.734 1194 0.826 1195 1.086 1196 0.858 1197 1.013 1198 0.895 1199 0.887 1200 1.133 1201 1.005 1202 0.968 1203 1.035 1204 1.058 1205 1.12 1206 1.143 1207 0.843 1208 1.089 1209 1.097 1210 0.864 1211 0.845 1212 0.869 1213 0.708 1214 0.803 1215 1.116 1216 0.978 1217 0.962 1218 1.07 1219 1.121 1220 0.925 1221 0.753 1222 0.863 1223 0.766 1224 0.739 1225 0.706 1226 1.176 1227 1.073 1228 0.945 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0.653 1321 0.84 1322 1.15 1323 0.867 1324 0.733 1325 1.259 1326 1.37 1327 1.592 1328 1.578 1329 1.959 1330 1.873 1331 1.872 1332 1.539 1333 1.864 1334 1.33 1335 1.154 1336 1.075 1337 1.334 1338 1.608 1339 1.348 1340 0.958 1341 1.26 1342 1.415 1343 1.715 1344 1.054 1345 1.276 1346 1.391 1347 1.397 1348 1.041 1349 1.397 1350 0.848 1351 0.91 1352 0.114 1353 0.7 1354 0.378 1355 0.535 1356 0.662 1357 0.66 1358 0.929 1359 0.494 1360 0.656 1361 0.591 1362 0.656 1363 0.68 1364 0.75 1365 0.538 1366 0.709 1367 0.883 1368 1.018 1369 0.724 1370 1.504 1371 1.158 1372 1.111 1373 0.721 1374 1.194 1375 1.068 1376 1.257 1377 0.583 1378 1.046 1379 1.187 1380 1.158 1381 0.962 1382 0.491 1383 0.969 1384 1.414 1385 1.127 1386 1.365 1387 1.384 1388 0.996 1389 1.342 1390 1.121 1391 1.153 1392 1.018 1393 1.169 1394 0.725 1395 0.72 1396 0.869 1397 0.29 1398 0.378 1399 0.677 1400 0.815 1401 0.851 1402 0.483 1403 0.758 1404 0.843 1405 0.812 1406 1.004 1407 0.442 1408 0.952 1409 1.008 1410 0.606 1411 1.199 1412 1.103 1413 1.194 1414 1.139 1415 0.924 1416 1.003 1417 0.903 1418 1.233 1419 1.521 1420 1.584 1421 1.558 1422 1.49 1423 1.298 1424 1.482 1425 1.297 1426 1.315 1427 0.927 1428 0.916 1429 1.013 1430 0.921 1431 0.97 1432 0.533 1433 0.508 1434 0.842 1435 0.734 1436 0.393 1437 0.207 1438 0.46 1439 0.612 1440 0.767 1441 0.965 1442 1.364 1443 1.283 1444 1.205 1445 1.116 1446 0.703 1447 1.128 1448 0.873 1449 1.254 1450 1.051 1451 1.119 1452 1.488 1453 1.714 1454 2.024 1455 1.677 1456 1.495 1457 2.129 1458 1.229 1459 1.582 1460 0.457 1461 1.272 1462 1.466 1463 1.562 1464 1.266 1465 0.908 1466 1.674 1467 1.325 1468 0.689 1469 1.374 1470 1.921 1471 1.366 1472 1.455 1473 1.465 1474 0.252 1475 0.476 1476 0.799 1477 1.183 1478 1.271 1479 0.472 1480 0.637 1481 0.443 1482 0.687 1483 0.361 1484 1.111 1485 0.891 1486 0.733 1487 1.214 1488 0.874 1489 0.784 1490 1.104 1491 0.955 1492 0.326 1493 0.525 1494 0.608 1495 0.49 1496 0.643 1497 0.786 1498 0.595 1499 0.328 1500 0.513 1501 0.883 1502 0.955 1503 0.89 1504 1.117 1505 0.712 1506 0.742 1507 0.759 1508 0.637 1509 0.598 1510 0.843 1511 0.827 1512 1.279 1513 0.756 1514 0.945 1515 0.643 1516 0.657 1517 0.372 1518 0.17 1519 0.597 1520 0.492 1521 0.748 1522 0.803 1523 0.92 1524 1.222 1525 1.338 1526 1.73 1527 1.345 1528 1.123 1529 0.334 1530 0.746 1531 0.688 1532 0.543 1533 0.611 1534 0.706 1535 1.212 1536 1.002 1537 1.6 1538 1.392 1539 1.28 1540 1.356 1541 1.069 1542 1.238 1543 0.839 1544 1.292 1545 0.672 1546 0.542 1547 0.767 1548 0.876 1549 0.866 1550 0.934 1551 1.211 1552 1.237 1553 1.348 1554 0.647 1555 0.839 1556 0.704 1557 1.535 1558 1.342 1559 1.264 1560 0.802 1561 0.771 1562 0.641 1563 0.739 1564 1.12 1565 1.278 1566 1.557 1567 1.15 1568 1.057 1569 1.062 1570 0.511 1571 0.692 1572 1.1 1573 0.878 1574 1.15 1575 0.987 1576 0.668 1577 1.028 1578 1.073 1579 0.694 1580 0.369 1581 0.623 1582 0.378 1583 0.746 1584 -0.022 1585 0.5 1586 0.824 1587 1.136 1588 1.066 1589 1.412 1590 0.929 1591 1.112 1592 0.777 1593 0.559 1594 0.902 1595 0.303 1596 1.309 1597 1.117 1598 0.816 1599 1.32 1600 0.729 1601 1.182 1602 0.998 1603 1.037 1604 1.337 1605 1.233 1606 1.407 1607 1.128 1608 1.449 1609 2.206 1610 1.514 1611 2.151 1612 0.991 1613 1.334 1614 1.001 1615 0.516 1616 0.847 1617 1.452 1618 1.405 1619 1.641 1620 0.684 1621 1.737 1622 1.518 1623 1.793 1624 1.879 1625 2.33 1626 0.643 1627 1.202 1628 1.561 1629 0.934 1630 0.644 1631 0.416 1632 -0.024 1633 1.179 1634 0.991 1635 0.933 1636 1.058 1637 0.941 1638 0.836 1639 1.042 1640 1.264 1641 1.567 1642 1.471 1643 1.453 1644 0.597 1645 0.957 1646 0.976 1647 1.012 1648 0.846 1649 0.61 1650 0.925 1651 0.925 1652 0.249 1653 0.925 1654 1.062 1655 0.702 1656 0.642 1657 0.781 1658 0.78 1659 0.809 1660 0.712 1661 1.049 1662 0.952 1663 0.894 1664 0.955 1665 0.914 1666 1.055 1667 1.076 1668 1.134 1669 0.975 1670 0.53 1671 0.824 1672 1.1 1673 1.069 1674 1.502 1675 0.891 1676 1.249 1677 0.773 1678 1.125 1679 0.881 1680 0.814 1681 1.138 1682 0.815 1683 1.172 1684 1.514 1685 1.453 1686 1.242 1687 1.589 1688 1.363 1689 1.304 1690 1.31 1691 0.969 1692 0.818 1693 1.021 1694 1.12 1695 0.332 1696 0.865 1697 1.046 1698 0.85 1699 0.717 1700 1.337 1701 0.911 1702 1.174 1703 0.834 1704 0.577 1705 0.992 1706 0.513 1707 0.523 1708 0.306 1709 0.777 1710 0.88 1711 0.523 1712 0.817 1713 0.635 1714 0.926 1715 0.942 1716 0.984 1717 0.462 1718 0.427 1719 0.816 1720 0.923 1721 0.916 1722 1.139 1723 1.118 1724 1.367 1725 1.123 1726 1.635 1727 1.614 1728 1.659 1729 0.591 1730 1.034 1731 1.313 1732 0.659 1733 0.817 1734 0.32 1735 0.29 1736 0.459 1737 0.737 1738 1.143 1739 0.779 1740 0.7 1741 0.989 1742 0.978 1743 0.779 1744 -0.025 1745 1.002 1746 1.01 1747 0.976 1748 0.452 1749 1.109 1750 1.328 1751 0.847 1752 0.86 1753 0.972 1754 1.143 1755 0.91 1756 0.361 1757 0.448 1758 0.774 1759 0.815 1760 0.728 1761 0.931 1762 1.12 1763 0.761 1764 0.822 1765 1.108 1766 0.7 1767 1.031 1768 1.261 1769 1.092 1770 1.317 1771 1.609 1772 1.198 1773 1.285 1774 0.872 1775 1.468 1776 1.477 1777 0.631 1778 1.292 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1871 0.297 1872 0.745 1873 0.879 1874 0.518 1875 0.582 1876 0.912 1877 0.763 1878 0.632 1879 0.94 1880 0.854 1881 0.534 1882 0.714 1883 0.624 1884 0.498 1885 1.203 1886 1.182 1887 0.932 1888 0.964 1889 0.632 1890 0.613 1891 0.834 1892 1.185 1893 0.563 1894 0.951 1895 0.801 1896 0.839 1897 0.823 1898 1.16 1899 0.797 1900 1.002 1901 0.685 1902 0.693 1903 0.868 1904 1.077 1905 1.182 1906 1.211 1907 1.467 1908 1.623 1909 1.153 1910 1.334 1911 1.661 1912 1.527 1913 1.593 1914 1.6 1915 1.667 1916 1.689 1917 0.725 1918 0.806 1919 1.035 1920 0.952 1921 1.297 1922 1.314 1923 1.205 1924 0.813 1925 1.146 1926 1.025 1927 0.918 1928 0.995 1929 0.796 1930 0.5 1931 0.702 1932 0.66 1933 0.744 1934 0.711 1935 0.701 1936 0.375 1937 0.555 1938 0.776 1939 0.814 1940 0.851 1941 0.966 1942 1.335 1943 1.055 1944 1.43 1945 1.48 1946 0.956 1947 1.494 1948 1.245 1949 0.961 1950 0.836 1951 1.23 1952 1.054 1953 1.132 1954 0.47 1955 0.989 1956 1.041 1957 1.262 1958 1.336 1959 1.085 1960 0.649 1961 0.696 1962 1.021 1963 1.436 1964 1.213 1965 1.588 1966 0.917 1967 0.871 1968 0.952 1969 1.225 1970 1.429 1971 0.993 1972 1.265 1973 1.287 1974 1.061 1975 1.096 1976 1.309 1977 1.134 1978 1.31 1979 1.009 1980 0.905 1981 1.623 1982 1.281 1983 1.475 1984 1.726 1985 0.78 1986 1.381 1987 1.298 1988 1.341 1989 0.485 1990 1.042 1991 1.295 1992 0.622 1993 1.407 1994 0.917 1995 0.978 1996 1.46