# europe_germ6 - Oldenburg - 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/3197 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ6 - Oldenburg - 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: Oldenburg # Location: # Country: Germany # Northernmost_Latitude: 53.0 # Southernmost_Latitude: 53.0 # Easternmost_Longitude: 8.0 # Westernmost_Longitude: 8.0 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: europe_germ6B # Earliest_Year: 1376 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.16440054821","T2":"20.298125984","M1":"0.0224134983595","M2":"0.246857844922"}} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1376 1.015 1377 0.969 1378 1.077 1379 0.791 1380 0.811 1381 0.909 1382 1.081 1383 1.078 1384 0.839 1385 0.899 1386 1.108 1387 0.925 1388 0.898 1389 0.887 1390 0.815 1391 0.803 1392 0.638 1393 0.652 1394 0.778 1395 0.747 1396 0.814 1397 0.973 1398 1.222 1399 1.081 1400 1.002 1401 0.982 1402 1.207 1403 1.221 1404 0.994 1405 1.093 1406 1.052 1407 1.034 1408 0.961 1409 1.128 1410 1.101 1411 1.048 1412 1.096 1413 1.067 1414 0.846 1415 0.755 1416 0.874 1417 0.844 1418 1.096 1419 0.99 1420 0.88 1421 1.026 1422 1.079 1423 1.077 1424 1.013 1425 1.065 1426 1.125 1427 1.352 1428 1.084 1429 1.056 1430 0.94 1431 0.891 1432 0.913 1433 0.862 1434 1.034 1435 1.141 1436 1.034 1437 0.987 1438 0.986 1439 1.05 1440 1.087 1441 1.014 1442 0.995 1443 0.954 1444 0.81 1445 0.911 1446 0.893 1447 0.899 1448 0.899 1449 1.008 1450 0.899 1451 1.325 1452 1.019 1453 0.794 1454 0.84 1455 0.881 1456 0.967 1457 0.806 1458 1.024 1459 0.904 1460 0.9 1461 0.934 1462 0.789 1463 0.785 1464 0.777 1465 0.69 1466 0.68 1467 0.732 1468 0.865 1469 0.895 1470 0.912 1471 0.94 1472 1.115 1473 1.078 1474 1.21 1475 1.354 1476 1.052 1477 0.785 1478 0.849 1479 0.89 1480 1.088 1481 1.091 1482 1.141 1483 1.176 1484 1.337 1485 1.227 1486 1.353 1487 1.532 1488 1.151 1489 1.018 1490 1.143 1491 0.785 1492 0.583 1493 0.721 1494 1.06 1495 1.293 1496 1.157 1497 0.826 1498 0.691 1499 0.849 1500 0.897 1501 1.012 1502 0.821 1503 0.699 1504 0.75 1505 0.96 1506 1.065 1507 1.158 1508 1.035 1509 0.861 1510 0.858 1511 1.045 1512 0.89 1513 0.991 1514 1.016 1515 1.032 1516 1.069 1517 0.89 1518 0.661 1519 0.825 1520 0.886 1521 1.069 1522 1.03 1523 0.922 1524 0.95 1525 0.79 1526 0.914 1527 1.041 1528 1.194 1529 0.993 1530 0.847 1531 1.131 1532 1.268 1533 1.353 1534 1.246 1535 1.134 1536 0.861 1537 1.098 1538 0.988 1539 1.284 1540 1.208 1541 0.89 1542 0.822 1543 0.766 1544 0.72 1545 1.144 1546 1.103 1547 1.068 1548 0.997 1549 0.994 1550 0.967 1551 1.041 1552 0.935 1553 1.01 1554 0.834 1555 0.792 1556 1.085 1557 0.865 1558 1.046 1559 1.121 1560 1.341 1561 1.508 1562 1.402 1563 1.043 1564 0.899 1565 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1840 0.666 1841 0.948 1842 1.2 1843 0.864 1844 0.816 1845 0.805 1846 0.983 1847 0.844 1848 0.863 1849 1.129 1850 1.128 1851 1.147 1852 1.011 1853 1.048 1854 0.915 1855 0.845 1856 0.829 1857 0.911 1858 0.645 1859 0.686 1860 0.799 1861 0.844 1862 0.885 1863 0.967 1864 0.926 1865 0.779 1866 0.82 1867 1.111 1868 0.885 1869 0.758 1870 1.022 1871 1.342 1872 0.83 1873 0.882 1874 0.828 1875 0.986 1876 0.76 1877 0.626 1878 0.742 1879 0.74 1880 0.709 1881 0.801 1882 0.901 1883 0.788 1884 0.86 1885 0.801 1886 0.956 1887 0.808 1888 0.718 1889 0.878 1890 1.186 1891 1.054 1892 1.357 1893 1.213 1894 1.216 1895 1.36 1896 1.133 1897 1.149 1898 1.134 1899 0.978 1900 1.137 1901 1.011 1902 1.01 1903 1.317 1904 1.198 1905 0.877 1906 1.047 1907 1.13 1908 1.265 1909 1.006 1910 1.284 1911 1.186 1912 0.936 1913 1 1914 1.259 1915 1.028 1916 0.758 1917 1.031 1918 0.808 1919 0.682 1920 0.89 1921 0.936 1922 0.904 1923 0.827 1924 1.044 1925 0.883 1926 0.83 1927 1.091 1928 0.927 1929 1.029 1930 0.956 1931 1.031 1932 1.198 1933 1.317 1934 1.085 1935 1.305 1936 1.069 1937 1.038 1938 1.143 1939 1.143 1940 0.77 1941 0.753 1942 0.687 1943 0.701 1944 0.889 1945 0.993 1946 1.094 1947 1.28 1948 1.062 1949 1.065 1950 1.467 1951 1.238 1952 1.207 1953 1.219 1954 0.904 1955 0.94 1956 0.628 1957 0.799 1958 0.727 1959 0.693 1960 0.706 1961 0.991 1962 0.996 1963 0.942 1964 0.848 1965 0.796 1966 0.948 1967 1.112 1968 1.3 1969 1.146 1970 0.997 1971 1.049 1972 0.952