# northamerica_usa_ga002 - Altamaha 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/4808 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ga002 - Altamaha 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: Altamaha River # Location: # Country: United States # Northernmost_Latitude: 31.62 # Southernmost_Latitude: 31.62 # Easternmost_Longitude: -81.8 # Westernmost_Longitude: -81.8 # Elevation: 8 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ga002B # Earliest_Year: 929 # Most_Recent_Year: 1985 # 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":"3.70949909369","T2":"17.0264032759","M1":"0.0227006718193","M2":"0.575453159087"}} #-------------------- # 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 929 2.859 930 2.999 931 1.066 932 0.562 933 0.648 934 0.827 935 0.709 936 0.564 937 0.653 938 0.445 939 0.639 940 1.007 941 1.679 942 2.203 943 1.923 944 2.261 945 1.544 946 0.869 947 0.934 948 0.435 949 0.2 950 0.248 951 0.169 952 0.539 953 0.428 954 0.719 955 0.712 956 1.125 957 1.221 958 1.06 959 1.699 960 1.064 961 0.961 962 0.811 963 1.033 964 1.332 965 1.019 966 1.273 967 1.203 968 0.918 969 0.509 970 0.85 971 1.121 972 1.15 973 0.773 974 0.868 975 0.56 976 0.418 977 0.624 978 0.435 979 0.652 980 0.362 981 0.499 982 1.81 983 1.156 984 1.389 985 1.408 986 1.094 987 0.815 988 0.682 989 0.453 990 0.24 991 0.231 992 0.406 993 0.361 994 0.762 995 0.412 996 0.902 997 0.569 998 0.914 999 1.002 1000 0.749 1001 0.769 1002 0.884 1003 0.907 1004 1.058 1005 0.7 1006 0.83 1007 1.785 1008 1.32 1009 1.217 1010 0.759 1011 0.986 1012 1.673 1013 1.204 1014 0.822 1015 1.452 1016 1.158 1017 0.841 1018 0.841 1019 0.655 1020 1.108 1021 1.429 1022 0.964 1023 1.153 1024 3.107 1025 0.904 1026 1.188 1027 0.946 1028 1.09 1029 0.692 1030 0.858 1031 1.191 1032 0.696 1033 0.5 1034 0.275 1035 0.387 1036 0.531 1037 0.731 1038 1.128 1039 0.519 1040 1.035 1041 0.695 1042 1.211 1043 0.581 1044 0.815 1045 0.374 1046 1.544 1047 1.046 1048 0.688 1049 1.602 1050 0.593 1051 0.893 1052 0.963 1053 1.087 1054 0.952 1055 1.165 1056 0.307 1057 0.408 1058 0.553 1059 0.964 1060 0.5 1061 0.498 1062 0.608 1063 0.881 1064 2.649 1065 1.827 1066 2.059 1067 2.129 1068 1.699 1069 1.093 1070 1.496 1071 0.977 1072 0.862 1073 1.316 1074 1.224 1075 0.929 1076 0.847 1077 1.065 1078 0.748 1079 0.815 1080 0.827 1081 0.953 1082 0.767 1083 0.327 1084 0.85 1085 0.504 1086 0.667 1087 1.101 1088 0.67 1089 0.868 1090 0.582 1091 0.888 1092 1.462 1093 1.505 1094 1.788 1095 1.568 1096 1.596 1097 1.315 1098 1.182 1099 0.763 1100 1.103 1101 0.744 1102 0.245 1103 0.953 1104 0.186 1105 0.305 1106 0.962 1107 1.085 1108 1.146 1109 0.643 1110 0.783 1111 0.698 1112 0.654 1113 0.723 1114 1.264 1115 2.998 1116 0.807 1117 2.38 1118 1.56 1119 1.002 1120 1.286 1121 0.588 1122 0.699 1123 0.6 1124 0.399 1125 0.172 1126 0.402 1127 0.718 1128 0.699 1129 0.728 1130 0.41 1131 0.926 1132 0.629 1133 0.827 1134 1.18 1135 0.653 1136 0.719 1137 1.161 1138 0.744 1139 0.636 1140 0.837 1141 0.791 1142 0.39 1143 0.412 1144 0.312 1145 0.283 1146 0.416 1147 0.109 1148 0.276 1149 0.208 1150 0.732 1151 0.904 1152 1.068 1153 1.428 1154 1.633 1155 1.256 1156 1.801 1157 1.22 1158 0.809 1159 1.672 1160 1.508 1161 1.205 1162 1.895 1163 0.731 1164 0.589 1165 1.065 1166 1.432 1167 2.016 1168 1.307 1169 0.779 1170 1.931 1171 1.916 1172 1.543 1173 0.913 1174 0.973 1175 0.262 1176 0.836 1177 1.018 1178 1.051 1179 0.465 1180 0.299 1181 0.377 1182 0.089 1183 0.534 1184 0.355 1185 0.362 1186 0.564 1187 0.504 1188 0.461 1189 0.669 1190 0.504 1191 0.409 1192 0.471 1193 0.482 1194 0.433 1195 0.363 1196 0.32 1197 0.454 1198 0.356 1199 0.423 1200 0.498 1201 0.486 1202 0.721 1203 0.691 1204 0.654 1205 0.347 1206 0.534 1207 0.556 1208 0.989 1209 0.887 1210 0.792 1211 0.623 1212 0.674 1213 0.805 1214 0.749 1215 0.495 1216 0.248 1217 0.482 1218 0.752 1219 1.183 1220 0.902 1221 1.064 1222 1.115 1223 1.099 1224 2.043 1225 1.525 1226 1.029 1227 0.609 1228 0.721 1229 0.596 1230 0.833 1231 0.754 1232 1.048 1233 1.039 1234 1.148 1235 1.568 1236 0.861 1237 0.814 1238 1.206 1239 0.728 1240 0.594 1241 0.662 1242 0.777 1243 0.535 1244 0.412 1245 0.529 1246 0.268 1247 0.225 1248 0.283 1249 0.627 1250 1.679 1251 0.638 1252 0.635 1253 1.39 1254 1.55 1255 2.009 1256 1.226 1257 0.92 1258 1.3 1259 0.874 1260 0.859 1261 0.923 1262 0.486 1263 0.443 1264 0.611 1265 0.458 1266 0.338 1267 0.204 1268 0.631 1269 1.678 1270 1.008 1271 1.615 1272 1.514 1273 1.762 1274 0.784 1275 0.822 1276 0.389 1277 0.434 1278 0.24 1279 0.606 1280 1.219 1281 1.071 1282 1.102 1283 0.974 1284 1.612 1285 2.834 1286 2.576 1287 1.709 1288 1.173 1289 1.84 1290 2.413 1291 1.568 1292 1.763 1293 1.431 1294 1.099 1295 1.577 1296 1.1 1297 1.133 1298 0.883 1299 0.911 1300 0.835 1301 0.644 1302 0.446 1303 0.239 1304 0.421 1305 0.679 1306 1.183 1307 0.474 1308 0.736 1309 1.023 1310 0.672 1311 0.683 1312 0.403 1313 1.527 1314 1.033 1315 0.565 1316 1.085 1317 1.045 1318 1.228 1319 1.006 1320 1.195 1321 0.924 1322 1.109 1323 0.921 1324 0.695 1325 0.666 1326 1.093 1327 1.04 1328 0.9 1329 0.92 1330 1.739 1331 1.238 1332 1.709 1333 0.753 1334 1.082 1335 0.567 1336 0.405 1337 0.986 1338 0.998 1339 0.694 1340 0.838 1341 1.501 1342 0.683 1343 1.108 1344 1.415 1345 1.068 1346 0.942 1347 0.721 1348 0.454 1349 0.944 1350 0.738 1351 0.689 1352 0.695 1353 1.103 1354 1.037 1355 1.011 1356 1.071 1357 1.114 1358 1.43 1359 0.815 1360 0.997 1361 1.531 1362 0.962 1363 1.012 1364 0.885 1365 0.555 1366 1.04 1367 0.506 1368 1.231 1369 0.425 1370 0.665 1371 1.132 1372 0.429 1373 0.926 1374 0.594 1375 0.682 1376 0.561 1377 0.738 1378 0.835 1379 1.199 1380 1.752 1381 1.137 1382 1.5 1383 1.024 1384 1.439 1385 1.094 1386 1.335 1387 1.594 1388 1.327 1389 0.71 1390 1.027 1391 2.005 1392 1.043 1393 1.177 1394 1.295 1395 0.489 1396 0.967 1397 0.831 1398 0.551 1399 1.024 1400 0.929 1401 0.719 1402 1.081 1403 0.63 1404 0.882 1405 0.668 1406 0.828 1407 0.489 1408 0.862 1409 0.529 1410 0.692 1411 0.741 1412 0.712 1413 0.962 1414 0.916 1415 1.165 1416 0.81 1417 0.892 1418 0.935 1419 0.717 1420 0.82 1421 0.571 1422 0.735 1423 0.669 1424 0.953 1425 0.97 1426 1.285 1427 0.676 1428 1.187 1429 1.419 1430 1.85 1431 0.887 1432 1.806 1433 1.235 1434 1.866 1435 2.015 1436 0.924 1437 0.656 1438 0.82 1439 0.881 1440 0.613 1441 1.113 1442 0.48 1443 1.04 1444 0.562 1445 1.024 1446 0.768 1447 1.371 1448 1.158 1449 0.982 1450 0.71 1451 0.818 1452 0.679 1453 0.33 1454 0.655 1455 0.495 1456 0.553 1457 1.349 1458 0.678 1459 0.954 1460 0.891 1461 1.35 1462 0.903 1463 0.263 1464 0.984 1465 0.899 1466 0.718 1467 0.476 1468 0.782 1469 0.322 1470 0.425 1471 0.393 1472 0.349 1473 0.615 1474 0.775 1475 0.781 1476 1.381 1477 1.004 1478 1.576 1479 1.295 1480 0.856 1481 0.926 1482 1.12 1483 0.944 1484 1.027 1485 1.097 1486 0.575 1487 1.107 1488 0.685 1489 0.721 1490 0.847 1491 0.439 1492 0.362 1493 1.86 1494 1.358 1495 1.215 1496 0.834 1497 0.866 1498 0.694 1499 0.649 1500 0.948 1501 0.5 1502 0.432 1503 1.466 1504 0.691 1505 0.876 1506 0.764 1507 0.943 1508 0.827 1509 0.287 1510 0.497 1511 0.651 1512 0.482 1513 0.929 1514 0.549 1515 0.568 1516 1.4 1517 0.993 1518 0.826 1519 0.957 1520 0.801 1521 0.449 1522 0.83 1523 1.045 1524 1.141 1525 1.174 1526 1.401 1527 1.677 1528 1.418 1529 1.597 1530 0.789 1531 0.987 1532 1.59 1533 1.078 1534 1.182 1535 0.464 1536 0.658 1537 0.948 1538 0.836 1539 1.407 1540 0.794 1541 1.544 1542 0.237 1543 0.771 1544 0.888 1545 1.006 1546 1.319 1547 1.135 1548 0.937 1549 1.106 1550 1.822 1551 0.897 1552 0.437 1553 1.224 1554 0.952 1555 1.373 1556 1.292 1557 0.879 1558 1.027 1559 0.873 1560 0.799 1561 0.747 1562 0.945 1563 0.627 1564 0.474 1565 0.932 1566 0.439 1567 0.639 1568 0.725 1569 0.316 1570 0.887 1571 0.986 1572 1.397 1573 1.275 1574 1.208 1575 1.083 1576 1.499 1577 1.08 1578 1.246 1579 0.974 1580 1.016 1581 1.078 1582 1.465 1583 0.509 1584 1.092 1585 0.015 1586 0.948 1587 0.385 1588 0.602 1589 0.366 1590 1.04 1591 0.908 1592 0.886 1593 0.46 1594 0.988 1595 0.619 1596 1.369 1597 1.076 1598 0.806 1599 0.788 1600 1.878 1601 1.425 1602 1.701 1603 1.661 1604 1.061 1605 3.044 1606 1.206 1607 1.501 1608 1.267 1609 1.288 1610 0.877 1611 0.522 1612 1.208 1613 1.935 1614 1.042 1615 1.474 1616 0.86 1617 1.614 1618 0.559 1619 1.256 1620 0.691 1621 0.998 1622 0.935 1623 1.264 1624 0.554 1625 1.068 1626 0.609 1627 0.471 1628 0.658 1629 0.853 1630 1.313 1631 1.053 1632 0.765 1633 0.392 1634 0.446 1635 1.184 1636 0.619 1637 1.117 1638 0.367 1639 0.863 1640 0.83 1641 0.463 1642 1.147 1643 0.219 1644 0.374 1645 0.436 1646 1.384 1647 0.589 1648 0.594 1649 1.307 1650 0.832 1651 0.997 1652 0.451 1653 0.748 1654 0.235 1655 1.465 1656 0.296 1657 0.491 1658 0.504 1659 0.474 1660 0.681 1661 0.637 1662 0.699 1663 0.555 1664 0.446 1665 1.048 1666 0.68 1667 1.101 1668 0.998 1669 0.804 1670 1.073 1671 0.78 1672 0.397 1673 0.385 1674 1.222 1675 1.115 1676 0.507 1677 1.169 1678 0.91 1679 1.334 1680 1.311 1681 1.404 1682 1.134 1683 1.158 1684 0.681 1685 0.732 1686 1.669 1687 0.477 1688 1.457 1689 1.543 1690 1.5 1691 1.669 1692 1.603 1693 1.693 1694 0.508 1695 1.042 1696 0.706 1697 0.902 1698 1.388 1699 0.57 1700 0.927 1701 0.94 1702 0.89 1703 0.565 1704 0.369 1705 1.133 1706 0.556 1707 1.446 1708 0.738 1709 0.995 1710 1.148 1711 1.28 1712 0.735 1713 0.624 1714 0.434 1715 0.542 1716 1.251 1717 1.25 1718 0.721 1719 1.365 1720 0.774 1721 1.784 1722 0.801 1723 1.158 1724 0.561 1725 1.158 1726 0.836 1727 1.171 1728 0.887 1729 1.346 1730 1.027 1731 1.458 1732 1.089 1733 1.795 1734 0.746 1735 0.673 1736 1.079 1737 0.811 1738 0.495 1739 0.686 1740 0.741 1741 0.714 1742 1.467 1743 1.297 1744 0.803 1745 1.034 1746 0.468 1747 0.597 1748 0.812 1749 0.922 1750 0.439 1751 1.047 1752 0.606 1753 1.223 1754 0.617 1755 1.242 1756 0.503 1757 0.858 1758 0.412 1759 0.8 1760 0.403 1761 0.824 1762 0.139 1763 0.803 1764 0.362 1765 0.333 1766 1.591 1767 0.807 1768 1.319 1769 1.066 1770 1.066 1771 1.238 1772 0.726 1773 0.848 1774 0.901 1775 1.184 1776 2.02 1777 1.129 1778 0.653 1779 0.971 1780 1.064 1781 0.248 1782 0.921 1783 0.254 1784 0.512 1785 1.498 1786 0.933 1787 0.563 1788 1.093 1789 1.021 1790 0.863 1791 0.318 1792 1.143 1793 0.746 1794 0.57 1795 0.845 1796 0.717 1797 0.363 1798 0.386 1799 0.482 1800 0.748 1801 0.326 1802 0.079 1803 0.739 1804 0.894 1805 0.373 1806 0.79 1807 0.833 1808 1.148 1809 0.696 1810 0.933 1811 0.79 1812 0.785 1813 0.952 1814 0.673 1815 0.966 1816 0.802 1817 0.994 1818 0.301 1819 0.655 1820 1.128 1821 1.909 1822 0.967 1823 1.269 1824 0.596 1825 1.238 1826 0.56 1827 1.147 1828 0.933 1829 1.733 1830 0.702 1831 1.228 1832 1.288 1833 1.749 1834 1.198 1835 1.447 1836 1.194 1837 1.086 1838 1.861 1839 0.511 1840 1.337 1841 1.314 1842 1.318 1843 0.899 1844 0.83 1845 0.501 1846 1.032 1847 1.201 1848 0.381 1849 0.744 1850 0.789 1851 0.689 1852 0.963 1853 1.025 1854 1.469 1855 0.71 1856 0.878 1857 1.052 1858 1.221 1859 1.848 1860 0.78 1861 1.157 1862 1.845 1863 1.422 1864 1.147 1865 1.183 1866 1.578 1867 1.082 1868 1.464 1869 0.831 1870 0.808 1871 1.746 1872 0.594 1873 1.708 1874 1.266 1875 0.785 1876 0.171 1877 1.169 1878 0.723 1879 0.806 1880 1.194 1881 0.817 1882 0.774 1883 1.066 1884 1.669 1885 0.791 1886 1.974 1887 0.285 1888 1.66 1889 1.025 1890 0.566 1891 0.933 1892 0.997 1893 0.71 1894 0.631 1895 1.05 1896 0.258 1897 0.954 1898 0.547 1899 0.704 1900 1.385 1901 1.133 1902 1.282 1903 1.565 1904 0.423 1905 0.659 1906 0.678 1907 1.036 1908 1.094 1909 1.201 1910 0.699 1911 0.226 1912 1.431 1913 0.486 1914 0.515 1915 0.801 1916 0.656 1917 1.19 1918 0.655 1919 1.256 1920 1.169 1921 0.485 1922 1.202 1923 0.794 1924 0.728 1925 0.315 1926 0.483 1927 0.546 1928 1.375 1929 1.689 1930 0.959 1931 1.14 1932 0.473 1933 1.337 1934 1.297 1935 0.831 1936 0.936 1937 1.221 1938 0.929 1939 0.75 1940 0.68 1941 0.312 1942 0.874 1943 1.429 1944 0.994 1945 0.883 1946 1.017 1947 0.992 1948 0.933 1949 1.223 1950 0.103 1951 0.923 1952 0.974 1953 1.122 1954 0.62 1955 0.617 1956 1.094 1957 1.447 1958 1.459 1959 1.458 1960 0.907 1961 1.597 1962 1.139 1963 1.527 1964 0.811 1965 0.932 1966 1.332 1967 0.647 1968 0.886 1969 1.438 1970 1.218 1971 1.42 1972 1.103 1973 1.865 1974 1.04 1975 1.597 1976 1.313 1977 0.844 1978 1.207 1979 0.871 1980 1.101 1981 0.31 1982 1.186 1983 0.837 1984 1.504 1985 0.225