# europe_finl021 - Karhunpesäkivi Inari - 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/3991 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl021 - Karhunpesäkivi Inari - 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: Karhunpesäkivi Inari # Location: # Country: Finland # Northernmost_Latitude: 68.83 # Southernmost_Latitude: 68.83 # Easternmost_Longitude: 27.25 # Westernmost_Longitude: 27.25 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: europe_finl021B # Earliest_Year: 1410 # Most_Recent_Year: 2001 # 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":"6.87658299727","T2":"20.660623769","M1":"0.0218088294008","M2":"0.19676490555"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1410 0.992 1411 1.113 1412 0.963 1413 0.99 1414 0.917 1415 0.888 1416 0.759 1417 1.015 1418 1.065 1419 1.092 1420 1.083 1421 0.903 1422 0.791 1423 0.863 1424 1.14 1425 1.06 1426 1.093 1427 1.054 1428 1.049 1429 1.139 1430 1.011 1431 1.142 1432 1.164 1433 1.273 1434 1.604 1435 1.3 1436 1.013 1437 0.911 1438 0.795 1439 1.003 1440 0.905 1441 0.816 1442 1.155 1443 1.038 1444 1.026 1445 1.27 1446 1.132 1447 1.044 1448 0.948 1449 0.918 1450 1.05 1451 0.924 1452 0.965 1453 0.885 1454 0.745 1455 0.962 1456 0.71 1457 0.415 1458 0.45 1459 0.463 1460 0.376 1461 0.483 1462 0.585 1463 0.503 1464 0.622 1465 0.556 1466 0.61 1467 0.689 1468 0.767 1469 0.869 1470 0.95 1471 1.118 1472 0.891 1473 0.88 1474 1.169 1475 1.18 1476 1.212 1477 1.177 1478 1.31 1479 1.44 1480 1.475 1481 1.282 1482 1.138 1483 1.048 1484 1.02 1485 1.199 1486 0.873 1487 0.892 1488 1.151 1489 1.321 1490 1.239 1491 1.241 1492 1.322 1493 1.267 1494 1.397 1495 1.103 1496 1.282 1497 1.292 1498 1.309 1499 1.2 1500 1.473 1501 1.324 1502 1.323 1503 1.008 1504 1.247 1505 1.125 1506 0.809 1507 0.808 1508 0.769 1509 0.875 1510 0.711 1511 0.945 1512 1.086 1513 0.928 1514 0.772 1515 0.897 1516 0.607 1517 0.792 1518 0.867 1519 0.747 1520 0.938 1521 0.97 1522 0.861 1523 0.98 1524 0.792 1525 0.838 1526 1.23 1527 0.932 1528 1.045 1529 0.906 1530 1.08 1531 0.974 1532 1.076 1533 1.12 1534 1.177 1535 1.204 1536 1.102 1537 1.038 1538 1.137 1539 1.246 1540 1.368 1541 1.255 1542 1.142 1543 1.048 1544 1.038 1545 0.986 1546 1.276 1547 1.42 1548 1.511 1549 1.006 1550 1.048 1551 1.179 1552 1.004 1553 1.381 1554 1.094 1555 1.389 1556 1.155 1557 1.005 1558 1.001 1559 1.083 1560 1.265 1561 1.052 1562 1.255 1563 1.053 1564 1.143 1565 0.99 1566 1.104 1567 1.064 1568 1.198 1569 1.123 1570 1.106 1571 0.941 1572 1.009 1573 1.055 1574 0.709 1575 1.229 1576 1.105 1577 1.101 1578 0.906 1579 1.108 1580 0.836 1581 0.972 1582 1.03 1583 1.089 1584 0.936 1585 1.184 1586 1.247 1587 0.94 1588 0.818 1589 0.892 1590 0.803 1591 0.865 1592 0.993 1593 0.701 1594 1.087 1595 0.857 1596 0.779 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1781 0.782 1782 0.833 1783 0.758 1784 0.769 1785 1.01 1786 0.717 1787 0.788 1788 0.968 1789 0.902 1790 0.624 1791 0.662 1792 0.77 1793 0.605 1794 0.632 1795 0.67 1796 0.767 1797 0.871 1798 0.878 1799 1.235 1800 1.007 1801 0.997 1802 1.073 1803 0.985 1804 1.191 1805 1.192 1806 0.479 1807 0.832 1808 0.879 1809 0.988 1810 0.912 1811 0.777 1812 0.649 1813 0.567 1814 0.626 1815 0.625 1816 0.666 1817 0.748 1818 0.959 1819 0.927 1820 0.698 1821 0.697 1822 0.74 1823 1.209 1824 1.101 1825 0.913 1826 1.802 1827 1.603 1828 1.21 1829 1.573 1830 1.414 1831 1.458 1832 1.397 1833 1.144 1834 1.249 1835 0.952 1836 1.011 1837 0.367 1838 0.823 1839 0.603 1840 0.881 1841 0.74 1842 0.547 1843 0.773 1844 0.793 1845 1.033 1846 0.874 1847 0.881 1848 0.821 1849 1.024 1850 0.951 1851 1.175 1852 1.309 1853 1.242 1854 1.491 1855 1.309 1856 1.161 1857 1.025 1858 1.097 1859 0.959 1860 0.96 1861 1.016 1862 0.819 1863 0.806 1864 1.036 1865 1.048 1866 0.816 1867 0.761 1868 0.824 1869 0.997 1870 0.951 1871 0.761 1872 0.789 1873 1 1874 0.736 1875 0.724 1876 0.984 1877 1.087 1878 0.907 1879 0.716 1880 0.655 1881 0.594 1882 0.991 1883 1.027 1884 0.977 1885 1.084 1886 1.274 1887 1.098 1888 0.799 1889 1.055 1890 1.299 1891 1.122 1892 0.792 1893 0.746 1894 0.931 1895 0.949 1896 0.924 1897 0.818 1898 1.343 1899 1.071 1900 0.668 1901 1.07 1902 0.824 1903 0.518 1904 0.633 1905 0.709 1906 0.793 1907 0.676 1908 0.911 1909 0.731 1910 0.481 1911 0.547 1912 0.935 1913 0.843 1914 1.132 1915 1.271 1916 1.17 1917 1.085 1918 1.168 1919 1.106 1920 1.208 1921 1.389 1922 1.651 1923 1.644 1924 1.469 1925 1.626 1926 1.196 1927 1.459 1928 0.943 1929 0.747 1930 1.491 1931 1.383 1932 1.287 1933 1.302 1934 1.691 1935 1.389 1936 1.177 1937 1.703 1938 1.312 1939 1.167 1940 0.956 1941 1.326 1942 1.103 1943 1.109 1944 1.005 1945 1.027 1946 0.783 1947 0.801 1948 0.742 1949 0.816 1950 0.906 1951 0.818 1952 0.677 1953 0.942 1954 1.041 1955 0.867 1956 0.866 1957 1.09 1958 0.927 1959 1.049 1960 1.247 1961 0.739 1962 0.764 1963 0.61 1964 1.108 1965 0.663 1966 0.747 1967 0.981 1968 0.797 1969 0.749 1970 0.888 1971 0.782 1972 1.046 1973 1.138 1974 0.679 1975 0.697 1976 0.719 1977 0.722 1978 0.714 1979 1.073 1980 0.934 1981 0.879 1982 0.941 1983 1.026 1984 0.878 1985 1.097 1986 0.937 1987 0.911 1988 1.043 1989 1.149 1990 1.079 1991 1.06 1992 1.02 1993 1.276 1994 1.147 1995 0.995 1996 1.126 1997 1.253 1998 1.211 1999 1.2 2000 1.463 2001 1.038