# Wilson - Froeliche Turken Str. 5 2 Regensburg Timbers - ABAL - ITRDB GERM103 #---------------------------------------------------- # 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/10706 # 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-10706.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/germ103-rwl-noaa.txt # Data_Download_Description: Raw Measurements - NOAA Template File; germ103-rwl-noaa.txt # # Related_Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/measurements/europe/germ103.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/germ103.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 - Froeliche Turken Str. 5 2 Regensburg Timbers - ABAL - ITRDB GERM103 #-------------------- # 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: Froeliche Turken Str. 5 2 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: GERM103 # First_Year: 1702 # Last_Year: 1828 # 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, ## FTS04A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS04A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS04B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS04B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS04C_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS04C; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS09A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS09A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS09B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS09B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS12A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS12A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS12B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS12B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS13A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS13A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS13B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS13B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS15A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS15A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS15B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS15B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS16A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS16A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS16B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS16B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS16C_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS16C; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS19A_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS19A; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS19B_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS19B; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## FTS19C_raw total ring width,,,millimeter,,tree ring,,,N,Tree ID: FTS19C; 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 FTS04A_raw FTS04B_raw FTS04C_raw FTS09A_raw FTS09B_raw FTS12A_raw FTS12B_raw FTS13A_raw FTS13B_raw FTS15A_raw FTS15B_raw FTS16A_raw FTS16B_raw FTS16C_raw FTS19A_raw FTS19B_raw FTS19C_raw 1702 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.337 2.46 2.394 1703 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.981 2.088 2.28 1704 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.111 1.783 2.109 1705 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.823 2.407 2.982 1706 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.731 2.118 2.486 1707 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.75 2.366 2.196 1708 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.487 2.509 1.875 1709 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.768 1.659 1.171 1710 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.413 2.433 2.363 1711 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.296 2.835 2.412 1712 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.35 2.652 2.336 1713 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2.116 2.541 2.34 1714 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.848 2.145 2.194 1715 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.65 1.861 1.844 1716 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.969 2.157 2.037 1717 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.889 1.983 1.889 1718 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.329 1.403 1.398 1719 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.414 1.662 1.675 1720 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.064 1.253 1.164 1721 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.37 1.693 1.729 1722 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.348 1.59 1.667 1723 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.568 1.46 1.626 1724 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.54 1.588 1.389 1725 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1.167 1.331 1.442 1726 NA NA NA NA NA NA NA 0.884 0.637 NA NA NA NA NA 1.363 1.555 1.565 1727 NA NA NA NA NA NA NA 0.703 0.653 NA NA NA NA NA 2.492 2.421 2.525 1728 NA NA NA NA NA NA NA 0.546 0.629 NA NA NA NA NA 2.821 2.699 3.528 1729 NA NA NA NA NA NA NA 0.807 0.953 NA NA NA NA NA 3.046 2.947 3.921 1730 1.589 1.523 1.71 NA NA NA NA 1.538 1.607 NA NA NA NA NA 3.924 4.139 3.979 1731 1.441 1.405 1.333 NA NA NA NA 1.653 1.426 NA NA NA NA NA 2.376 2.892 2.653 1732 2.098 2.068 2.247 NA NA NA NA 2.289 2.342 NA NA NA NA NA 2.874 2.975 2.673 1733 2.25 2.043 1.974 NA NA NA NA 3.251 3.303 NA NA NA NA NA 2.85 3.308 2.627 1734 2.992 2.919 3.093 NA NA 0.654 0.601 2.985 3.13 NA NA NA NA NA 3.006 3.363 2.435 1735 3.466 4.069 4.109 NA NA 0.438 0.444 2.458 2.674 NA NA NA NA NA 2.044 2.955 2.246 1736 3.206 3.094 2.785 NA NA 0.613 0.579 2.274 2.276 NA NA NA NA NA 2.386 2.964 2.61 1737 5.317 4.287 3.637 NA NA 0.888 0.821 2.038 1.96 NA NA NA NA NA 2.996 3.569 2.46 1738 5.592 4.594 4.724 NA NA 1.005 1.026 1.23 1.271 NA NA NA NA NA 2.618 3.687 2.321 1739 3.341 3.202 2.666 NA NA 1.045 1.115 1.63 1.545 NA NA NA NA NA 2.994 3.612 2.336 1740 4.06 3.972 3.616 NA NA 0.954 0.889 1.148 0.997 NA NA NA NA NA 2.359 2.53 2.015 1741 5.008 4.118 3.689 NA NA 1.189 1.045 1.395 1.166 NA NA NA NA NA 2.969 2.901 2.627 1742 3.417 2.868 2.97 NA NA 1.026 1.043 1.242 1.159 NA NA NA NA NA 3.018 3.08 2.474 1743 3.857 2.784 3.48 NA NA 1.079 1.063 1.217 1.225 NA NA NA NA NA 2.367 2.77 2.114 1744 3.549 2.601 3.077 NA NA 0.76 0.761 1.321 1.476 NA NA NA NA NA 2.797 3.092 2.096 1745 3.18 2.272 3.047 NA NA 0.761 0.708 1.114 1.039 NA NA NA NA NA 2.404 2.896 1.986 1746 1.123 1.081 1.156 NA NA 0.956 1.018 0.876 0.969 NA NA NA NA NA 1.67 2.45 1.609 1747 1.998 1.582 1.829 NA NA 0.607 0.553 1.032 0.836 NA NA NA NA NA 1.841 2.62 1.856 1748 2.971 2.31 2.946 NA NA 1.703 1.319 0.87 0.956 NA NA NA NA NA 1.822 2.446 2.07 1749 2.86 2.563 3.305 NA NA 2.95 2.508 1.383 1.166 NA NA NA NA NA 2.248 2.989 2.707 1750 2.108 1.557 2.393 0.904 1.002 2.333 2.341 1.154 0.91 NA NA NA NA NA 1.941 2.495 2.1 1751 1.128 1.129 1.831 0.892 0.81 1.677 1.997 1.087 0.878 1.211 1.175 NA NA NA 2.032 3.129 1.997 1752 2.174 2.263 3.283 1.065 0.966 1.635 1.872 1.309 1.14 1.592 1.484 NA NA NA 2.35 3.216 1.881 1753 0.94 1.251 1.636 0.97 0.926 1.242 1.039 1.313 1.082 1.239 1.31 NA NA NA 1.86 2.457 1.664 1754 1.084 1.516 1.581 0.96 0.85 1.471 1.225 2.067 1.709 1.498 1.5 NA NA NA 1.802 2.565 1.714 1755 1.638 1.823 1.909 1.021 1.048 1.545 0.908 2.204 1.678 1.295 1.226 NA NA NA 1.706 2.476 1.801 1756 1.791 2.083 2.528 1.189 1.128 1.565 1.091 2.416 1.639 1.922 2.102 NA NA NA 1.938 2.466 2.007 1757 1.917 2.171 2.666 1.022 0.977 1.418 0.814 2.429 1.611 1.135 1.22 NA NA NA 1.732 2.111 1.719 1758 1.239 1.684 1.492 0.909 0.917 1.486 1.035 1.804 1.573 1.18 1.135 3.013 2.943 2.863 1.537 1.704 1.411 1759 1.356 1.529 1.552 1.432 1.242 1.874 1.251 2.431 1.837 1.548 1.874 4.743 4.406 4.175 1.383 1.738 1.543 1760 1.406 1.481 1.564 1.058 0.846 1.051 0.691 1.917 1.393 0.933 1.192 4.251 3.82 4.273 1.288 1.463 1.596 1761 1.444 1.305 1.635 1.18 1.229 0.944 0.881 1.785 1.439 1.149 1.253 3.458 3.651 4.168 1.727 1.961 1.776 1762 1.866 1.654 2.158 0.835 0.961 0.64 0.609 1.376 1.059 0.74 0.941 3.168 3.642 3.46 1.08 1.226 1.174 1763 2.708 2.443 3.497 1.793 1.806 1.157 1.005 2.153 1.479 1.418 1.475 4.179 4.521 4.482 1.705 1.932 1.987 1764 1.556 1.544 1.823 1.39 1.744 0.788 0.915 1.377 1.053 1.059 1.212 2.969 3.375 3.328 1.117 1.342 1.183 1765 1.571 1.541 1.758 1.384 1.928 1.135 1.034 1.5 0.924 1.163 1.439 3.121 3.338 3.478 1.245 1.571 1.13 1766 1.445 1.425 1.638 2.022 3.124 0.69 0.795 0.639 0.9 0.498 0.673 3.344 3.388 3.403 0.706 0.789 0.59 1767 1.503 1.507 1.667 3.498 4.023 1.249 1.33 0.651 0.947 0.792 0.877 3.325 3.403 3.18 0.7 0.958 0.75 1768 1.169 1.082 1.282 3.878 3.904 0.984 1.108 0.507 0.925 0.54 0.621 2.796 3.083 2.554 0.816 0.939 0.893 1769 1.818 2.03 2.186 5.449 4.184 1.58 1.799 0.716 1.197 1.211 1.22 2.631 3.369 2.965 0.89 1.068 0.959 1770 2.46 2.66 2.799 5.699 4.273 1.637 1.959 0.82 1.46 1.158 1.334 2.913 3.221 3.057 1.091 1.713 1.731 1771 2.115 2.894 3.012 5.66 4.742 1.417 1.739 0.69 1.654 0.977 1.273 2.667 3.124 3.063 0.904 1.517 1.532 1772 2.409 2.859 3.357 6.136 5.565 1.854 1.81 1.03 2.086 1.476 1.628 3.192 3.041 2.805 1.053 1.753 1.495 1773 0.802 1.095 1.242 5.195 4.448 1.524 1.135 0.712 1.771 0.972 1.032 1.745 1.577 1.442 0.696 1.09 0.913 1774 1.363 1.734 1.865 4.701 4.485 1.453 1.306 0.998 1.779 1.231 1.149 2.076 2.147 1.63 0.784 1.013 1.048 1775 1.083 2.479 2.287 3.738 3.695 1.53 1.32 0.953 2.473 1.141 1.148 1.912 1.775 1.498 0.565 1.047 0.806 1776 0.727 1.714 1.613 3.443 3.429 1.428 1.228 0.941 2.097 1.013 0.943 1.901 1.781 1.642 0.602 1.025 0.746 1777 1.149 2.195 3.132 4.152 3.956 1.622 1.489 0.835 2.004 0.863 0.856 1.835 1.607 1.605 0.354 0.744 0.412 1778 0.609 1.19 1.309 3.854 3.916 0.689 1.1 0.588 1.511 0.645 0.725 1.054 1.039 0.799 0.43 0.768 0.399 1779 0.54 0.797 0.8 3.017 3.15 0.808 0.932 0.4 0.896 0.508 0.485 0.956 0.947 0.726 0.304 0.583 0.43 1780 0.943 1.997 1.299 4.358 4.423 1.031 1.496 0.717 1.311 0.915 0.873 1.54 1.788 1.507 0.477 0.907 0.57 1781 0.867 0.94 0.986 4.529 4.46 1.251 1.635 0.534 1.02 0.745 0.734 1.132 1.492 1.252 0.347 0.74 0.363 1782 1.257 1.031 1.502 4.111 4.441 1.075 1.4 0.672 0.966 1.108 0.804 1.527 1.546 1.326 0.52 0.973 0.683 1783 1.388 1.242 1.574 4.029 4.436 1.623 1.623 0.981 1.141 1.207 0.888 1.816 2.073 1.739 0.893 1.448 1.042 1784 0.643 0.61 0.807 3.457 3.454 0.79 0.792 0.575 0.749 0.54 0.661 0.902 1.082 0.686 0.387 0.804 0.553 1785 1.107 1.027 1.608 3.979 4.62 1.058 1.005 0.681 0.89 0.876 0.772 1.595 1.786 1.322 0.349 0.611 0.378 1786 1.402 1.227 1.589 3.9 4.357 0.75 0.958 0.602 0.733 0.707 0.679 1.504 1.539 1.342 0.443 0.653 0.42 1787 1.273 1.426 1.352 3.116 4.253 1.191 1.436 0.868 1.101 1.032 0.848 1.461 1.284 1.296 0.932 1.161 1.112 1788 1.353 1.278 1.138 3.518 3.872 1.636 1.584 0.889 0.903 1.059 0.81 1.398 1.311 1.087 1.08 1.089 1.083 1789 1.247 1.774 1.044 2.714 1.885 0.92 1.076 0.538 0.477 0.501 0.462 0.877 0.841 0.665 0.529 0.636 0.589 1790 0.746 0.854 0.896 2.112 1.828 1.107 1.449 0.516 0.364 0.645 0.427 0.708 0.76 0.569 0.423 0.624 0.469 1791 1.469 1.424 1.113 3.509 2.562 1.595 1.987 0.54 0.412 0.719 0.478 0.953 1.227 0.597 0.436 0.605 0.604 1792 1.194 1.403 1.011 2.762 1.94 1.138 1.776 0.593 0.398 0.53 0.393 0.832 0.856 0.502 0.53 0.721 0.697 1793 1.503 1.629 0.962 3.282 2.48 1.037 1.634 0.93 0.556 0.862 0.61 1.315 1.298 0.866 0.588 0.741 0.692 1794 1.713 2.15 0.722 3.301 2.163 1.175 1.548 1.095 0.899 0.935 0.731 0.856 0.854 0.506 0.436 0.624 0.486 1795 1.611 2.084 0.922 3.272 2.536 1.119 1.129 0.78 0.736 0.748 0.754 0.848 1.008 0.691 0.486 0.554 NA 1796 NA 3.722 1.832 3.904 3.588 1.6 1.958 0.981 0.864 1.204 1.046 1.62 1.639 1.314 0.752 1.043 NA 1797 NA 3.275 NA 3.828 3.458 1.021 1.331 0.873 0.543 0.87 0.54 0.788 0.737 0.609 0.579 0.58 NA 1798 NA 3.299 NA 3.966 3.485 1.825 1.958 1.005 1.083 1.234 1.126 1.668 1.419 1.053 0.899 0.991 NA 1799 NA 2.844 NA 3.461 3.256 1.072 1.407 0.334 0.751 0.495 0.786 0.817 0.474 0.599 0.521 0.605 NA 1800 NA 1.969 NA 2.271 2.203 1.133 1.613 0.42 0.431 0.477 0.396 0.917 0.697 1.01 0.391 0.525 NA 1801 NA 2.955 NA 2.994 3.317 1.214 1.814 0.403 0.593 0.438 0.636 1.509 0.912 0.915 0.539 0.59 NA 1802 NA 2.492 NA 3.338 3.092 1.384 1.998 1.001 0.843 0.729 0.875 1.253 1.018 0.779 0.632 0.858 NA 1803 NA 2.842 NA 2.462 2.403 1.464 1.781 0.852 0.596 0.761 0.718 0.717 0.576 0.656 0.675 0.826 NA 1804 NA 2.768 NA 2.592 2.885 1.578 2.241 1.067 0.524 0.997 0.972 0.786 0.775 0.863 0.682 1.371 NA 1805 NA 1.586 NA 2.663 2.626 1.788 2.186 1.074 0.834 1.018 1.185 1.101 0.859 0.958 0.947 1.618 NA 1806 NA 1.906 NA 2.477 2.584 2.032 2.32 1.261 0.779 0.936 1.691 1.13 0.79 0.752 1.029 2.178 NA 1807 NA 1.471 NA 2.208 2.093 2.683 2.523 1.026 0.821 0.856 1.188 1.191 0.635 0.563 0.841 1.449 NA 1808 NA 1.326 NA 1.751 1.802 2.596 2.247 0.785 0.591 0.741 1.334 0.582 0.406 0.391 0.684 1.274 NA 1809 NA 1.637 NA 1.953 2.167 2.439 2.74 0.826 0.821 0.815 2.013 1.297 0.708 0.709 0.606 1.976 NA 1810 NA 1.597 NA 2.18 2.326 2.486 2.925 1.245 1.097 0.952 1.76 1.136 0.799 NA 0.706 1.985 NA 1811 NA NA NA 1.994 1.68 2.252 NA 1.184 0.949 0.83 1.316 0.968 0.654 NA 0.598 1.342 NA 1812 NA NA NA 1.844 1.649 1.55 NA 1.029 1.131 0.762 1.502 0.812 0.52 NA 0.889 1.256 NA 1813 NA NA NA 1.274 1.37 1.869 NA 1.767 1.668 1.036 2.186 1.085 0.572 NA 1.203 2.236 NA 1814 NA NA NA 1.418 1.31 1.755 NA 1.776 NA 1.019 1.661 1.059 0.693 NA 0.953 0.924 NA 1815 NA NA NA 1.304 1.266 1.81 NA 1.585 NA 0.983 2.129 1.091 0.598 NA 0.694 0.636 NA 1816 NA NA NA 1.864 1.486 1.704 NA 2.208 NA 1.364 2.175 1.066 0.682 NA 1.094 1.077 NA 1817 NA NA NA 1.835 1.546 2.1 NA 1.877 NA 1.293 2.343 1.322 0.664 NA 1.103 1.493 NA 1818 NA NA NA 1.721 1.672 1.645 NA NA NA 1.246 3.368 1.329 0.545 NA 0.906 1.089 NA 1819 NA NA NA 1.317 1.348 1.864 NA NA NA 1.493 3.8 0.872 0.405 NA NA NA NA 1820 NA NA NA 1.143 1.119 1.048 NA NA NA 1.028 2.799 0.619 0.398 NA NA NA NA 1821 NA NA NA 0.87 1.046 NA NA NA NA 1.346 2.746 NA 0.433 NA NA NA NA 1822 NA NA NA 0.953 1.15 NA NA NA NA 1.267 2.754 NA NA NA NA NA NA 1823 NA NA NA 1.135 0.931 NA NA NA NA 1.089 2.654 NA NA NA NA NA NA 1824 NA NA NA 1.327 0.829 NA NA NA NA 1.644 3.9 NA NA NA NA NA NA 1825 NA NA NA 1.26 1.083 NA NA NA NA 1.899 3.553 NA NA NA NA NA NA 1826 NA NA NA 1.102 1.125 NA NA NA NA 1.326 NA NA NA NA NA NA NA 1827 NA NA NA 0.756 0.882 NA NA NA NA 1.515 NA NA NA NA NA NA NA 1828 NA NA NA NA NA NA NA NA NA 2.235 NA NA NA NA NA NA NA