# Wilson - Unter den Schwibbogen Str. 5+7 Regensburg Timbers - ABAL - ITRDB GERM104 #---------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #---------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/10707 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-tree-10707.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Tree Ring # # Dataset_DOI: # # Science_Keywords: drought #-------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/measurements/europe/germ104-rwl-noaa.txt # Data_Download_Description: Raw Measurements - NOAA Template File; germ104-rwl-noaa.txt # # Related_Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/measurements/europe/germ104.rwl # Related_Online_Description: RWL File; Raw Measurements - Tucson Decadal File # # Supplemental_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/measurements/correlation-stats/germ104.txt # Supplemental_Description: Text File; Correlation Stats # #-------------------- # Contribution_Date # Date: 2010-06-23 #-------------------- # File_Last_Modified_Date # Date: 2010-06-23 #-------------------- # Title # Study_Name: Wilson - Unter den Schwibbogen Str. 5+7 Regensburg Timbers - ABAL - ITRDB GERM104 #-------------------- # Investigators # Investigators: Wilson, R.J.S.(https://orcid.org/0000-0003-4486-8904) #-------------------- # Description_Notes_and_Keywords # Description: Purpose of Collection: # # Hydroclimatic reconstructions # # # # # # References: # # Wilson, R.J.S. and W. Elling. 2004. # # Temporal instabilities of tree-growth/climate response # # in the Lower Bavarian Forest Region: Implications for # # dendroclimatic reconstruction. # # Trees: Structure and Function, 18 (1): 19-28. # # # # Wilson, R.J.S., J. Esper, and B.H. Luckman. 2004. # # Utilising Historical Tree-Ring Data for Dendroclimatology: # # A Case study from the Bavarian Forest, Germany. # # Dendrochronologia. 21 (2): 53-68. # # # # Wilson, R.J.S., B.H. Luckman, and J. Esper. 2005. # # A 500-Year Dendroclimatic Reconstruction of Spring/Summer # # Precipitation from the Lower Bavarian Forest Region, Germany. # # International Journal of Climatology, 25: 611-630. # # # # # # Notes: # # Bavarian Forest Region Historical Timbers # # NOAA Template Raw Measurements file added 2019-02-05. #-------------------- # Publication # Authors: # Journal_Name: International Journal of Climatology # Published_Title: A 500-Year Dendroclimatic Reconstruction of Spring/Summer Precipitation from the Lower Bavarian Forest Region, Germany # Published_Date_or_Year: 2005 # Volume: # Pages: # Issue: # Report_Number: # DOI: 10.1002/joc.1150 # Full_Citation: Wilson, R.J.S., B.H. Luckman, and J. Esper. 2005. A 500-Year Dendroclimatic Reconstruction of Spring/Summer Precipitation from the Lower Bavarian Forest Region, Germany. International Journal of Climatology, 25: 611-630. # Abstract: This paper presents a 500 year March-August precipitation reconstruction for the Bavarian Forest region of southeast # Germany based on a composite, well-replicated data set of 676 living and historical tree-ring width series from Norway # spruce. Two versions of the chronology are developed. The cubic smoothing spline (SPL) chronology, standardized # with a fixed 80 year spline function, retains decadal and higher frequency variation. The regional curve standardization # (RCS) chronology uses regional curve standardization to retain additional lower frequency variation from the same # data. Calibration (1879-1978) of these chronologies with March-August precipitation indicates they explain 40% (SPL) # and 34% (RCS) of the variability in the instrumental precipitation record. The SPL reconstruction models the high frequency # variation better, whereas the RCS reconstruction tracks the low-frequency trends more robustly. It suggests # that spring-summer precipitation was above the long-term average for the periods 1730-1810 and 1870-2000, about # average between 1560 and 1610 and that significantly drier periods occurred during 1510-60, 1610-35, 1660-1730 and # 1830-70. The low-frequency trends of the RCS reconstruction during the 19th century were verified by comparison with a # regional precipitation series derived from 14 long precipitation records from central Europe. Better verification results were # obtained using the original (non-homogenized) records over this interval. These results suggest that some low-frequency # variability may have been removed during correction of these early records. Periods of synchronous decadal variability # were observed between the SPL series and independent dendroclimatic reconstructions from central Europe. The RCS # reconstruction is the first dendroclimatic precipitation reconstruction in Europe to capture low-frequency information. # These long-term trends, however, are difficult to verify owing to the paucity of other proxy precipitation records in # central Europe that portray low-frequency information. Further verification and testing of the RCS reconstruction will # require the development of additional reconstructions from tree-rings (or other proxy data series) that similarly target # low-frequency variability. #-------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #-------------------- # Site_Information # Site_Name: Unter den Schwibbogen Str. 5+7 Regensburg Timbers # Location: Bavaria # Northernmost_Latitude: 49.0167 # Southernmost_Latitude: 49.0167 # Easternmost_Longitude: 12.1 # Westernmost_Longitude: 12.1 # Elevation_m: None #-------------------- # Data_Collection # Collection_Name: GERM104 # First_Year: 1656 # Last_Year: 1800 # Time_Unit: CE # Core_Length_m: # Parameter_Keywords: ring width # Notes: #-------------------- # Species # Species_Name: Abies alba Mill. # Common_Name: silver fir # Tree_Species_Code: ABAL #-------------------- # Variables # # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by '##' in columns one and two. # Variables format: shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## age_CE age,,,year Common Era,,tree ring,,,N, ## UDS02A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS02A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS02B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS02B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS02C_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS02C; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS03A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS03A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS03B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS03B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS04A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS04A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS04B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS04B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS06A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS06A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS06B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS06B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS09A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS09A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS09B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS09B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## UDS10A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: UDS10A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 #--------------------- # Data: # Missing_Values: NA age_CE UDS02A_raw UDS02B_raw UDS02C_raw UDS03A_raw UDS03B_raw UDS04A_raw UDS04B_raw UDS06A_raw UDS06B_raw UDS09A_raw UDS09B_raw UDS10A_raw 1656 0.398 0.51 NA NA NA NA NA NA NA NA NA NA 1657 0.559 0.749 NA NA NA NA NA NA NA NA NA NA 1658 0.487 0.894 NA NA NA NA NA NA NA NA NA NA 1659 0.542 0.973 NA NA NA NA NA NA NA NA NA NA 1660 0.661 0.921 NA NA NA NA NA NA NA NA NA NA 1661 0.606 0.688 NA NA NA NA NA NA NA NA NA NA 1662 0.812 0.744 NA NA NA NA NA NA NA NA NA NA 1663 0.684 0.549 NA NA NA NA NA NA NA NA NA NA 1664 0.633 0.543 NA NA NA NA NA NA NA NA NA NA 1665 0.435 0.377 NA NA NA NA NA NA NA NA NA NA 1666 0.419 0.37 NA NA NA NA NA NA NA NA NA NA 1667 0.271 0.201 NA NA NA NA NA NA NA NA NA NA 1668 0.579 0.583 NA NA NA NA NA NA NA NA NA NA 1669 0.396 0.312 NA NA NA NA NA NA NA NA NA NA 1670 0.204 0.271 NA NA NA NA NA NA NA NA NA NA 1671 0.156 0.402 NA NA NA NA NA NA NA NA NA NA 1672 0.173 0.276 NA NA NA NA NA NA NA NA NA NA 1673 0.296 0.764 NA NA NA NA NA NA NA NA NA NA 1674 0.298 0.351 NA NA NA NA NA NA NA NA NA NA 1675 0.177 0.252 NA NA NA NA NA NA NA NA NA NA 1676 0.158 0.25 NA NA NA NA NA NA NA NA NA NA 1677 0.132 0.153 NA NA NA NA NA NA NA NA NA NA 1678 0.137 0.174 NA NA NA NA NA NA NA NA NA NA 1679 0.077 0.243 NA NA NA NA NA NA NA NA NA NA 1680 0.108 0.407 NA NA NA NA NA NA NA NA NA NA 1681 0.048 0.115 NA NA NA NA NA NA NA NA NA NA 1682 0.208 0.162 NA NA NA NA NA NA NA NA NA NA 1683 0.103 0.102 NA NA NA NA NA NA NA NA NA NA 1684 0.091 0.106 NA NA NA NA NA NA NA NA NA NA 1685 0.08 0.051 NA NA NA NA NA NA NA NA NA NA 1686 0.039 0.022 NA NA NA NA NA NA NA NA NA NA 1687 0.526 0.599 NA NA NA NA NA NA NA NA NA NA 1688 0.456 0.554 NA NA NA NA NA NA NA NA NA NA 1689 0.411 0.505 NA NA NA NA NA NA NA NA NA NA 1690 0.722 0.535 NA NA NA NA NA NA NA NA NA NA 1691 0.966 0.759 NA NA NA NA NA NA NA NA NA NA 1692 0.878 0.604 NA NA NA NA NA NA NA NA NA NA 1693 1.508 0.992 NA NA NA NA NA NA NA NA NA NA 1694 0.815 0.724 NA NA NA NA NA NA NA NA NA NA 1695 0.902 0.884 NA NA NA NA NA NA NA NA NA NA 1696 1.057 0.862 NA NA NA NA NA NA NA NA NA NA 1697 0.833 0.669 NA NA NA NA NA NA NA NA NA NA 1698 0.92 0.723 NA NA NA NA NA NA NA NA NA NA 1699 0.832 0.708 NA NA NA NA NA NA NA NA NA NA 1700 0.731 0.659 NA NA NA NA NA NA NA NA NA NA 1701 0.886 0.795 NA NA NA NA NA NA NA NA NA NA 1702 0.902 0.737 NA NA NA NA NA NA NA NA NA NA 1703 0.719 0.659 NA NA NA NA NA NA NA NA NA NA 1704 0.691 0.57 1.1 NA NA NA NA NA NA NA NA NA 1705 0.947 0.787 1.288 NA NA NA NA NA NA NA NA NA 1706 0.66 0.577 0.873 NA NA NA NA NA NA NA NA NA 1707 0.544 0.521 0.827 NA NA NA NA NA NA NA NA NA 1708 0.529 0.507 0.727 NA NA NA NA NA NA NA NA NA 1709 1.929 1.605 1.553 NA NA NA NA NA NA NA NA NA 1710 1.513 1.289 1.055 NA NA NA NA NA NA NA NA NA 1711 0.966 0.907 0.797 NA NA NA NA NA NA NA NA NA 1712 0.975 1.089 0.979 NA NA NA NA NA NA NA NA NA 1713 1.278 1.194 1.354 NA NA NA NA NA NA NA NA NA 1714 1.687 1.483 1.727 NA NA NA NA NA NA NA NA NA 1715 1.92 1.82 2.259 NA NA NA NA NA NA NA NA NA 1716 2.497 2.257 2.042 NA NA NA NA NA NA NA NA NA 1717 2.145 1.996 2.148 NA NA NA NA NA NA NA NA NA 1718 1.307 1.431 1.47 NA NA NA NA NA NA NA NA NA 1719 1.142 1.206 1.352 NA NA NA NA NA NA NA NA NA 1720 1.156 1.187 0.987 NA NA NA NA NA NA NA NA NA 1721 1.653 1.458 1.636 NA NA NA NA NA NA NA NA NA 1722 1.986 1.873 1.971 NA NA NA NA NA NA NA NA NA 1723 1.693 1.918 2.047 NA NA NA NA NA NA NA NA NA 1724 1.82 1.928 2.061 NA NA NA NA NA NA NA NA NA 1725 1.802 1.704 1.953 NA NA NA NA NA NA NA NA NA 1726 1.582 1.592 1.678 NA NA NA NA NA NA NA NA NA 1727 1.678 1.701 1.608 NA NA NA NA NA NA NA NA NA 1728 1.216 1.219 1.05 NA NA NA NA NA NA NA NA NA 1729 1.286 1.446 1.299 NA NA NA NA NA NA NA NA NA 1730 1.585 1.392 1.392 NA NA NA NA NA NA NA NA NA 1731 1.312 1.45 1.243 NA NA NA NA NA NA NA NA NA 1732 1.264 1.53 1.241 NA NA NA NA NA NA NA NA NA 1733 1.661 1.651 1.45 NA NA NA NA NA NA NA NA NA 1734 2.069 2.023 1.552 NA NA NA NA NA NA NA NA NA 1735 1.635 1.923 1.365 NA NA NA NA NA NA NA NA NA 1736 1.92 2.164 1.633 NA NA NA NA NA NA 2.147 NA NA 1737 1.541 2.29 1.762 NA NA NA NA NA NA 2.136 2.735 NA 1738 1.389 NA 1.53 NA NA NA NA NA NA 2.456 3.031 NA 1739 1.099 NA 1.176 NA NA NA NA NA NA 2.176 2.529 NA 1740 1.514 NA 1.299 NA NA NA NA NA NA 2.168 2.129 NA 1741 1.59 NA 1.052 NA NA NA NA NA NA 2.727 1.359 NA 1742 1.061 NA 0.82 NA NA NA NA NA NA 2.303 1.444 NA 1743 1.27 NA 1.042 NA NA NA NA NA NA 2.43 1.659 NA 1744 1.143 NA 1.083 NA NA NA NA NA NA 2.611 2.704 NA 1745 1.089 NA 1.174 NA NA NA NA NA NA 4.218 3.773 NA 1746 0.824 NA 1.024 NA NA NA NA NA NA 3.696 3.591 NA 1747 0.942 NA 1.099 NA NA NA NA NA NA 3.637 3.594 NA 1748 0.852 NA 1.156 2.363 2.654 NA NA NA NA 3.503 4.163 2.362 1749 0.885 NA 1.061 3.963 3.945 NA NA NA NA 3.456 4.661 3.384 1750 0.816 NA 1.069 3.556 3.363 NA NA NA NA 3.315 4.773 3.174 1751 0.851 NA 1.123 3.063 2.856 NA NA NA NA 2.631 3.563 2.835 1752 0.927 NA 1.06 4.086 4.255 NA NA NA NA 2.842 4.138 2.414 1753 0.848 NA 0.978 3.369 3.092 NA NA NA NA 2.978 3.416 1.919 1754 0.828 NA 0.86 2.904 3.374 NA NA NA NA 2.392 3.225 1.785 1755 1.094 NA 1.329 2.88 2.538 NA NA NA NA 2.428 3.5 1.92 1756 1.032 NA 1.183 3.217 2.819 NA NA NA NA 2.095 2.838 1.518 1757 1.345 NA 1.672 3.174 2.171 NA NA NA NA 1.961 2.261 1.639 1758 1.271 NA 1.266 2.642 2.048 NA NA NA NA 2.042 2.123 1.278 1759 1.46 NA 1.661 3.212 2.184 NA NA NA NA 2.393 2.23 2.469 1760 1.094 NA 1.598 3.239 2.698 NA NA NA NA 1.543 1.937 3.03 1761 1.307 NA 1.436 2.774 2.822 NA NA 4.235 4.068 2.115 2.392 4.145 1762 1.146 NA 1.156 2.44 2.434 NA NA 3.452 3.386 1.738 1.903 3.77 1763 1.036 NA 1.244 3.553 3.987 NA NA 4.482 4.319 2.369 3.01 5.179 1764 1.593 NA 1.56 2.797 2.989 NA NA 3.695 3.483 2.407 2.788 4.421 1765 1.822 NA 1.689 2.372 2.935 NA NA 3.4 3.651 2.408 2.351 3.733 1766 1.311 NA 1.278 1.711 2.626 NA NA 3.286 3.391 2.298 1.998 3.618 1767 1.258 NA 1.193 1.787 2.666 7.354 5.773 3.161 3.129 1.819 2.112 3.143 1768 0.916 NA 1.032 1.831 2.587 6.463 5.793 2.895 3.275 1.876 2.279 2.807 1769 1.261 NA 0.931 2.433 2.869 6.268 5.446 3.28 3.348 2.02 1.883 3.136 1770 1.745 NA 1.546 2.665 3.45 5.521 4.806 3.163 3.622 1.727 2.093 3.05 1771 1.609 NA 1.446 2.764 3.331 4.87 4.427 2.863 3.09 1.666 2.086 2.934 1772 1.913 NA 1.902 2.773 2.613 5.899 5.307 3.593 3.613 2.237 2.374 3.63 1773 0.728 NA 0.8 0.942 1.202 4.658 3.827 2.468 2.449 1.13 1.174 2.364 1774 1.091 NA 0.916 1.462 1.776 5.585 5.248 2.247 2.614 1.591 1.518 2.648 1775 1.238 NA 0.933 1.433 1.493 4.718 4.824 2.248 2.034 1.437 1.561 2.524 1776 1.613 NA 1.203 1.363 1.535 4.54 3.791 3.181 2.269 1.124 1.43 2.237 1777 1.335 NA 0.957 1.425 1.639 5.221 4.934 3.031 1.979 1.199 1.422 2.062 1778 0.548 NA 0.499 0.717 0.681 4.124 3.554 2.564 1.793 1.049 1.293 1.195 1779 0.772 NA 0.607 0.805 1.033 3.547 3.157 2.498 1.962 0.932 0.882 1.352 1780 1.187 NA 0.924 1.253 1.003 4.415 4.002 2.731 2.536 1.069 1.608 1.405 1781 0.898 NA 0.728 1.273 1.43 3.692 3.785 2.025 1.583 1.005 1.364 1.647 1782 1.092 NA 1.184 1.989 1.936 3.189 2.867 2.762 2.337 1.015 1.454 1.808 1783 1.206 NA 1.176 2.303 NA 3.347 3.24 2.699 2.592 1.186 1.58 2.168 1784 0.826 NA 0.693 1.417 NA 1.606 1.48 1.544 1.854 0.678 0.686 1.121 1785 1.041 NA 0.944 NA NA 1.622 1.884 1.546 2.041 0.972 0.953 1.629 1786 0.763 NA 0.948 NA NA 2.038 2.368 1.303 2.268 0.979 1.008 1.654 1787 0.884 NA 1.295 NA NA 2.24 2.478 1.702 2.449 1.089 1.198 1.667 1788 1.038 NA 1.058 NA NA 1.782 2.103 2.15 2.13 0.968 1.082 1.539 1789 1.044 NA 1.223 NA NA 1.538 1.308 NA 1.283 0.688 0.619 1.1 1790 0.621 NA 1.001 NA NA 1.712 NA NA 1.43 0.766 0.817 0.96 1791 1.034 NA 0.959 NA NA 1.277 NA NA 2.659 0.727 0.687 1.232 1792 0.787 NA 0.788 NA NA 0.893 NA NA 2.381 0.705 0.828 0.888 1793 0.935 NA 1.102 NA NA 1.522 NA NA 2.972 0.714 1.13 1.539 1794 0.446 NA 0.441 NA NA 0.984 NA NA 2.447 0.651 1.055 1.239 1795 0.558 NA 0.657 NA NA 1.007 NA NA 2.214 NA 0.751 1.523 1796 0.896 NA 0.937 NA NA 1.897 NA NA 3.039 NA 1.018 3.127 1797 0.409 NA 0.532 NA NA 0.691 NA NA 1.796 NA 0.734 2.397 1798 0.558 NA 0.758 NA NA 1.496 NA NA 2.749 NA 0.919 2.988 1799 0.485 NA 0.794 NA NA 1.363 NA NA 1.468 NA 0.607 1.562 1800 0.61 NA 0.727 NA NA 0.765 NA NA 1.538 NA 0.487 NA