# europe_cypr018 - Chionistra - 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/5552 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr018 - Chionistra - 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: Chionistra # Location: # Country: Cyprus # Northernmost_Latitude: 34.93 # Southernmost_Latitude: 34.93 # Easternmost_Longitude: 32.87 # Westernmost_Longitude: 32.87 # Elevation: 1770 m #-------------------- # Data_Collection # Collection_Name: europe_cypr018B # Earliest_Year: 1379 # Most_Recent_Year: 2002 # 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":"5.47454121031","T2":"16.7525272778","M1":"0.0225276282282","M2":"0.36140677679"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 1379 0.79 1380 0.77 1381 0.918 1382 1.029 1383 0.919 1384 1.134 1385 0.975 1386 0.961 1387 0.973 1388 1.146 1389 0.946 1390 1.359 1391 1.197 1392 0.945 1393 0.998 1394 1.111 1395 0.821 1396 0.817 1397 0.914 1398 0.954 1399 1.074 1400 1.099 1401 1.21 1402 1.522 1403 1.085 1404 1.198 1405 1.202 1406 0.943 1407 1.07 1408 0.849 1409 0.996 1410 1.04 1411 1.055 1412 0.985 1413 0.967 1414 1.015 1415 0.917 1416 0.882 1417 0.896 1418 0.889 1419 0.766 1420 1.011 1421 0.853 1422 0.744 1423 0.76 1424 0.744 1425 0.789 1426 0.793 1427 0.817 1428 0.866 1429 1.21 1430 1.083 1431 1.264 1432 0.968 1433 1.071 1434 0.969 1435 0.932 1436 0.64 1437 0.881 1438 0.792 1439 0.646 1440 0.639 1441 1.041 1442 1.512 1443 1.751 1444 1.117 1445 0.789 1446 0.881 1447 0.733 1448 0.832 1449 0.722 1450 0.971 1451 0.782 1452 0.768 1453 0.767 1454 0.823 1455 1.118 1456 0.974 1457 0.948 1458 1.04 1459 1.367 1460 0.977 1461 0.945 1462 0.88 1463 0.668 1464 0.835 1465 0.844 1466 0.799 1467 0.954 1468 0.65 1469 0.672 1470 0.67 1471 0.976 1472 0.983 1473 1.201 1474 0.993 1475 1.453 1476 1.332 1477 1.101 1478 0.942 1479 0.765 1480 0.802 1481 1.142 1482 0.821 1483 1.019 1484 0.914 1485 0.762 1486 0.958 1487 0.87 1488 1.415 1489 0.869 1490 0.966 1491 0.768 1492 0.683 1493 1.007 1494 0.691 1495 0.804 1496 1.027 1497 0.982 1498 0.993 1499 1.04 1500 1.02 1501 0.984 1502 1.058 1503 1.001 1504 0.89 1505 0.736 1506 0.942 1507 1.14 1508 1.115 1509 0.847 1510 1.046 1511 1.092 1512 0.914 1513 1.14 1514 1.338 1515 0.919 1516 0.913 1517 0.804 1518 0.887 1519 1.548 1520 1.05 1521 1.699 1522 1.436 1523 1.408 1524 1.302 1525 0.855 1526 0.846 1527 0.968 1528 0.835 1529 0.849 1530 0.824 1531 0.597 1532 0.837 1533 0.972 1534 1.228 1535 1.5 1536 1.425 1537 1.072 1538 1.176 1539 1.869 1540 1.032 1541 1.133 1542 0.721 1543 1.046 1544 0.847 1545 1.204 1546 0.883 1547 1.01 1548 0.755 1549 0.602 1550 0.82 1551 0.836 1552 0.832 1553 0.993 1554 0.974 1555 1.116 1556 0.977 1557 0.926 1558 0.913 1559 0.94 1560 0.736 1561 0.655 1562 0.799 1563 0.588 1564 0.797 1565 1.254 1566 1.409 1567 0.775 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1660 1.109 1661 1.151 1662 0.932 1663 1.112 1664 1.015 1665 1.422 1666 1.419 1667 1.343 1668 1.133 1669 1.295 1670 0.701 1671 0.732 1672 0.757 1673 1.015 1674 0.765 1675 0.763 1676 0.736 1677 0.969 1678 1.245 1679 0.854 1680 0.818 1681 1.32 1682 1.736 1683 1.356 1684 1.272 1685 1.069 1686 1.168 1687 1.1 1688 0.74 1689 0.913 1690 0.884 1691 1.137 1692 1.33 1693 0.904 1694 0.857 1695 0.92 1696 0.924 1697 1.182 1698 0.998 1699 0.885 1700 0.985 1701 1.001 1702 0.909 1703 0.858 1704 0.865 1705 1.05 1706 0.768 1707 0.888 1708 0.965 1709 1.328 1710 1.416 1711 0.898 1712 0.982 1713 0.944 1714 0.947 1715 0.651 1716 0.614 1717 0.961 1718 0.773 1719 0.92 1720 1.162 1721 1.602 1722 0.936 1723 0.812 1724 1.262 1725 0.663 1726 0.662 1727 0.816 1728 0.927 1729 0.83 1730 0.758 1731 0.79 1732 1.045 1733 1.145 1734 1.235 1735 1.34 1736 1.454 1737 1.143 1738 0.896 1739 1.092 1740 0.984 1741 0.701 1742 0.842 1743 1.124 1744 1.059 1745 1.001 1746 0.889 1747 0.902 1748 1.147 1749 0.75 1750 0.556 1751 0.83 1752 0.753 1753 1.079 1754 1.026 1755 1.443 1756 1.185 1757 1.217 1758 1.164 1759 1.054 1760 0.958 1761 0.743 1762 1.024 1763 0.966 1764 0.789 1765 0.776 1766 0.933 1767 0.944 1768 0.773 1769 0.866 1770 0.711 1771 0.822 1772 0.874 1773 1.128 1774 1.032 1775 1.149 1776 1.199 1777 1.265 1778 0.951 1779 0.752 1780 1.048 1781 0.717 1782 0.731 1783 0.881 1784 1.081 1785 0.762 1786 1.027 1787 0.797 1788 1.446 1789 1.168 1790 0.984 1791 1.354 1792 1.361 1793 1.039 1794 1.034 1795 1.241 1796 0.959 1797 0.835 1798 0.911 1799 1.088 1800 1.093 1801 1.218 1802 0.899 1803 0.974 1804 1.017 1805 1.016 1806 0.869 1807 0.996 1808 0.955 1809 1.315 1810 1.31 1811 1.468 1812 1.074 1813 1.106 1814 1.226 1815 1.152 1816 0.996 1817 1.08 1818 1.313 1819 1.087 1820 1.146 1821 1.514 1822 1.149 1823 1.055 1824 1.097 1825 1.013 1826 0.84 1827 1.211 1828 1.205 1829 1.3 1830 1.021 1831 0.863 1832 1.147 1833 1.183 1834 0.88 1835 1.062 1836 1.058 1837 1.168 1838 1.021 1839 1.109 1840 0.87 1841 1.121 1842 0.914 1843 0.776 1844 0.818 1845 0.829 1846 0.884 1847 0.713 1848 0.802 1849 0.865 1850 0.898 1851 0.743 1852 0.595 1853 0.727 1854 0.74 1855 0.803 1856 0.791 1857 0.759 1858 0.898 1859 0.913 1860 0.974 1861 0.704 1862 0.824 1863 0.776 1864 0.773 1865 0.909 1866 1.019 1867 1.026 1868 0.769 1869 0.911 1870 0.763 1871 0.772 1872 0.858 1873 1.046 1874 0.652 1875 0.917 1876 0.958 1877 0.83 1878 0.667 1879 0.606 1880 0.856 1881 0.817 1882 0.907 1883 1.028 1884 0.952 1885 1.058 1886 1.091 1887 0.886 1888 1.064 1889 1.228 1890 1.003 1891 1.226 1892 1.178 1893 0.67 1894 0.44 1895 0.844 1896 0.915 1897 1.045 1898 0.812 1899 0.744 1900 1.063 1901 1.106 1902 0.87 1903 0.914 1904 0.886 1905 0.881 1906 1.089 1907 0.992 1908 1.232 1909 0.653 1910 1.152 1911 1.264 1912 1.303 1913 0.978 1914 1.029 1915 0.903 1916 0.587 1917 0.615 1918 0.726 1919 0.91 1920 0.927 1921 1.4 1922 1.275 1923 0.797 1924 0.852 1925 0.67 1926 0.621 1927 0.69 1928 0.576 1929 0.71 1930 0.932 1931 0.863 1932 0.729 1933 0.757 1934 1.031 1935 0.908 1936 1.144 1937 1.075 1938 0.841 1939 1.151 1940 0.882 1941 0.642 1942 0.451 1943 0.636 1944 0.777 1945 0.694 1946 0.769 1947 0.992 1948 0.72 1949 0.46 1950 1.09 1951 1.202 1952 1.001 1953 1.009 1954 0.945 1955 0.977 1956 0.771 1957 0.809 1958 1.022 1959 1.084 1960 1.131 1961 0.745 1962 0.876 1963 0.846 1964 0.926 1965 0.858 1966 0.933 1967 1.04 1968 1.402 1969 1.199 1970 1.481 1971 1.308 1972 1.781 1973 1.284 1974 0.852 1975 1.455 1976 1.437 1977 1.484 1978 0.983 1979 1.517 1980 0.977 1981 0.827 1982 1.314 1983 1.301 1984 1.042 1985 0.98 1986 1.336 1987 1.102 1988 1.044 1989 1.193 1990 0.804 1991 0.85 1992 1.21 1993 1.019 1994 0.836 1995 0.816 1996 0.993 1997 1.18 1998 1.343 1999 1.391 2000 1.038 2001 1.151 2002 1.286