# northamerica_usa_mt114 - Yellow Mountain Ridge 2 - 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/3740 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mt114 - Yellow Mountain Ridge 2 - 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: Yellow Mountain Ridge 2 # Location: # Country: United States # Northernmost_Latitude: 45.3 # Southernmost_Latitude: 45.3 # Easternmost_Longitude: -111.32 # Westernmost_Longitude: -111.32 # Elevation: 2500 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mt114B # Earliest_Year: 952 # Most_Recent_Year: 1998 # 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":"2.96436532408","T2":"12.559340739","M1":"0.0234933477995","M2":"0.589966882902"}} #-------------------- # 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 952 0.877 953 0.795 954 0.594 955 0.696 956 0.89 957 1.114 958 1.059 959 0.802 960 1.3 961 1.286 962 1 963 1.574 964 1.505 965 1.34 966 1.206 967 1.412 968 1.348 969 1.406 970 1.442 971 1.313 972 0.508 973 0.437 974 0.642 975 0.671 976 0.512 977 0.75 978 1.102 979 1.325 980 1.091 981 1.25 982 0.866 983 1.013 984 0.883 985 1.037 986 0.713 987 0.911 988 0.624 989 0.455 990 0.408 991 0.65 992 0.519 993 0.556 994 0.625 995 0.818 996 1.417 997 0.634 998 0.984 999 0.623 1000 0.732 1001 2.038 1002 1.731 1003 0.949 1004 0.953 1005 1.123 1006 1.317 1007 1.155 1008 0.906 1009 0.731 1010 1.029 1011 1.026 1012 0.802 1013 0.608 1014 0.436 1015 0.551 1016 0.551 1017 0.672 1018 0.867 1019 1.165 1020 0.955 1021 0.66 1022 0.73 1023 1.311 1024 1.125 1025 0.616 1026 0.802 1027 0.52 1028 0.984 1029 0.653 1030 0.825 1031 1.082 1032 0.754 1033 0.825 1034 0.761 1035 1.042 1036 1.275 1037 1.078 1038 1.219 1039 0.662 1040 0.591 1041 0.655 1042 0.75 1043 0.634 1044 0.675 1045 0.622 1046 0.982 1047 0.869 1048 0.667 1049 0.967 1050 0.753 1051 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1327 0.763 1328 1.068 1329 1.011 1330 0.687 1331 1.444 1332 1.42 1333 1.136 1334 0.78 1335 1.018 1336 0.916 1337 0.646 1338 0.888 1339 1.08 1340 0.943 1341 0.801 1342 0.774 1343 1.303 1344 1.153 1345 1.046 1346 0.956 1347 1.217 1348 0.887 1349 1.447 1350 1.298 1351 1.498 1352 1.495 1353 1.418 1354 1.235 1355 1.154 1356 1.016 1357 0.922 1358 1.028 1359 0.967 1360 0.995 1361 0.898 1362 0.978 1363 0.946 1364 1.109 1365 0.854 1366 0.742 1367 0.8 1368 1.193 1369 0.833 1370 1.099 1371 0.928 1372 0.891 1373 1.104 1374 1.171 1375 1.18 1376 1.04 1377 1.085 1378 1.06 1379 1.036 1380 0.965 1381 1.053 1382 0.589 1383 0.556 1384 0.938 1385 1.1 1386 1.152 1387 1.15 1388 0.894 1389 0.805 1390 1.005 1391 1.319 1392 0.986 1393 0.737 1394 1.215 1395 0.879 1396 0.948 1397 0.89 1398 0.602 1399 0.919 1400 1.109 1401 0.651 1402 0.876 1403 0.997 1404 1.127 1405 0.817 1406 1.107 1407 1.382 1408 1.102 1409 1.38 1410 1.154 1411 1.121 1412 1.156 1413 1.057 1414 0.749 1415 0.728 1416 0.984 1417 0.361 1418 1.021 1419 0.782 1420 0.999 1421 0.905 1422 1.016 1423 1.172 1424 1.227 1425 1.112 1426 0.866 1427 0.991 1428 0.901 1429 0.725 1430 0.534 1431 0.832 1432 0.882 1433 0.633 1434 0.537 1435 0.674 1436 0.798 1437 0.478 1438 0.381 1439 0.72 1440 0.942 1441 0.73 1442 0.594 1443 0.954 1444 0.621 1445 0.546 1446 0.467 1447 0.619 1448 0.664 1449 0.82 1450 0.969 1451 1.083 1452 0.942 1453 1.191 1454 1.138 1455 1.139 1456 0.909 1457 0.889 1458 0.525 1459 0.864 1460 0.575 1461 0.59 1462 0.663 1463 0.714 1464 0.718 1465 1.307 1466 1.04 1467 1.046 1468 0.518 1469 1.079 1470 1.002 1471 1.1 1472 1.05 1473 1.495 1474 0.742 1475 0.72 1476 1.471 1477 0.946 1478 1.055 1479 0.639 1480 0.775 1481 0.744 1482 0.603 1483 0.717 1484 1.36 1485 1.251 1486 1.276 1487 1.346 1488 1.162 1489 0.96 1490 0.644 1491 1.06 1492 0.71 1493 0.77 1494 0.683 1495 0.923 1496 0.924 1497 0.866 1498 0.503 1499 0.807 1500 0.489 1501 0.782 1502 0.609 1503 0.743 1504 0.869 1505 0.648 1506 1.298 1507 1.051 1508 1.057 1509 1.138 1510 1.327 1511 1.111 1512 0.799 1513 0.727 1514 0.906 1515 0.878 1516 1.157 1517 1.167 1518 1.242 1519 0.888 1520 0.959 1521 1.41 1522 1.002 1523 1.141 1524 1.014 1525 1.376 1526 1.001 1527 1.133 1528 1.304 1529 1.477 1530 1.255 1531 1.611 1532 0.93 1533 0.933 1534 0.702 1535 1.206 1536 1.104 1537 1.025 1538 0.946 1539 0.973 1540 0.742 1541 0.698 1542 0.624 1543 0.586 1544 0.599 1545 0.749 1546 0.909 1547 0.864 1548 0.901 1549 0.849 1550 0.911 1551 0.801 1552 1.208 1553 1.303 1554 1.304 1555 1.222 1556 1.19 1557 1.78 1558 1.607 1559 1.08 1560 1.154 1561 0.835 1562 1.065 1563 0.81 1564 0.978 1565 0.956 1566 1.036 1567 0.644 1568 0.91 1569 0.952 1570 0.972 1571 0.851 1572 0.901 1573 0.846 1574 0.907 1575 0.832 1576 0.805 1577 1.208 1578 0.833 1579 1.183 1580 0.886 1581 0.422 1582 0.88 1583 1.135 1584 1.048 1585 0.803 1586 0.979 1587 0.836 1588 0.954 1589 0.977 1590 0.789 1591 0.86 1592 0.92 1593 0.411 1594 0.611 1595 0.818 1596 1.234 1597 1.348 1598 1.316 1599 0.836 1600 1.044 1601 1.233 1602 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1.248 1971 1.059 1972 1.049 1973 1.332 1974 0.921 1975 0.903 1976 1.138 1977 1.123 1978 1.109 1979 1.199 1980 1.012 1981 1.265 1982 0.953 1983 1.066 1984 1.16 1985 0.817 1986 1.334 1987 1.485 1988 1.483 1989 0.95 1990 1.043 1991 0.928 1992 0.874 1993 1.012 1994 1.489 1995 1.32 1996 0.816 1997 0.989 1998 1.432