# europe_swed022w - Gotland - 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/4427 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed022w - Gotland - 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: Gotland # Location: # Country: Sweden # Northernmost_Latitude: 56.5 # Southernmost_Latitude: 56.5 # Easternmost_Longitude: 15.0 # Westernmost_Longitude: 15.0 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: europe_swed022wB # Earliest_Year: 1127 # Most_Recent_Year: 1987 # 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":"3.71045428492","T2":"16.4904411806","M1":"0.0226178456071","M2":"0.511293302655"}} #-------------------- # 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 1127 1.01 1128 1.023 1129 1.047 1130 1.048 1131 0.882 1132 0.84 1133 0.919 1134 0.831 1135 0.878 1136 0.809 1137 0.849 1138 0.89 1139 0.783 1140 0.857 1141 1.119 1142 1.22 1143 1.215 1144 1.18 1145 0.979 1146 1.05 1147 1.046 1148 1.038 1149 1.048 1150 0.799 1151 0.986 1152 1.179 1153 1.012 1154 0.983 1155 1.084 1156 0.803 1157 1.131 1158 0.873 1159 1.192 1160 0.992 1161 0.785 1162 0.965 1163 1.04 1164 1.149 1165 1.125 1166 1.109 1167 0.955 1168 1.08 1169 0.892 1170 0.865 1171 1.153 1172 1.058 1173 0.83 1174 1.024 1175 0.899 1176 1.032 1177 0.815 1178 0.747 1179 0.662 1180 0.814 1181 0.843 1182 0.925 1183 1.09 1184 1.094 1185 1.05 1186 1.15 1187 1.256 1188 0.689 1189 0.916 1190 1.188 1191 0.806 1192 1.083 1193 1.211 1194 0.919 1195 0.975 1196 1.036 1197 0.991 1198 1.205 1199 1.329 1200 0.994 1201 0.925 1202 1.128 1203 1.203 1204 1.036 1205 0.942 1206 1.039 1207 1.136 1208 1.164 1209 1.286 1210 1.047 1211 0.977 1212 0.986 1213 1.179 1214 1.15 1215 1.39 1216 1.059 1217 0.824 1218 0.942 1219 0.707 1220 0.809 1221 1.075 1222 0.977 1223 0.962 1224 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1500 0.942 1501 0.776 1502 0.949 1503 1.065 1504 0.827 1505 1.297 1506 1.075 1507 1.235 1508 1.098 1509 1.452 1510 1.487 1511 1.28 1512 1.097 1513 0.902 1514 0.767 1515 0.706 1516 0.773 1517 0.838 1518 1.066 1519 1.054 1520 0.986 1521 1.293 1522 1.049 1523 0.675 1524 1.183 1525 1.168 1526 1.3 1527 1.067 1528 0.965 1529 1.054 1530 0.961 1531 0.724 1532 0.713 1533 0.684 1534 1.056 1535 0.884 1536 0.867 1537 1.052 1538 0.747 1539 0.852 1540 0.879 1541 1.066 1542 1.087 1543 1.137 1544 1.36 1545 1.193 1546 1.072 1547 1.101 1548 1.21 1549 1.117 1550 1.092 1551 1.149 1552 1.102 1553 0.947 1554 0.642 1555 1.067 1556 0.945 1557 0.739 1558 1.014 1559 0.727 1560 0.91 1561 0.815 1562 1.018 1563 1.016 1564 0.884 1565 0.843 1566 0.889 1567 0.85 1568 0.927 1569 0.868 1570 0.959 1571 0.979 1572 0.825 1573 0.848 1574 0.941 1575 0.978 1576 1.413 1577 1.396 1578 1.177 1579 0.94 1580 0.995 1581 0.957 1582 0.912 1583 0.914 1584 0.898 1585 1.092 1586 0.879 1587 1.429 1588 1.282 1589 1.061 1590 1.042 1591 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1866 1.687 1867 1.808 1868 1.132 1869 1.2 1870 1.004 1871 1.41 1872 1.44 1873 0.814 1874 0.809 1875 0.862 1876 0.741 1877 0.863 1878 0.845 1879 0.636 1880 0.872 1881 0.958 1882 1.046 1883 1.165 1884 1.217 1885 0.777 1886 0.861 1887 0.789 1888 0.742 1889 0.636 1890 0.84 1891 0.938 1892 1.225 1893 0.59 1894 1.315 1895 0.599 1896 0.664 1897 0.889 1898 1.136 1899 1.251 1900 1.049 1901 1.232 1902 1.053 1903 1.018 1904 1.148 1905 0.856 1906 0.954 1907 1.183 1908 0.959 1909 1.034 1910 1.042 1911 0.62 1912 1.188 1913 0.76 1914 0.595 1915 0.762 1916 0.889 1917 0.459 1918 0.658 1919 0.817 1920 0.684 1921 0.544 1922 0.81 1923 0.87 1924 0.904 1925 1.104 1926 1.013 1927 1.102 1928 0.891 1929 0.989 1930 0.716 1931 0.795 1932 0.996 1933 0.939 1934 1.262 1935 1.267 1936 1.248 1937 1.146 1938 1.091 1939 0.708 1940 0.48 1941 0.765 1942 0.813 1943 0.44 1944 0.952 1945 0.801 1946 1.042 1947 1.066 1948 1.119 1949 1.272 1950 1.01 1951 1.061 1952 1.074 1953 1.111 1954 0.814 1955 0.872 1956 0.873 1957 1.142 1958 1.384 1959 0.674 1960 0.954 1961 0.992 1962 1.045 1963 0.886 1964 0.675 1965 1.067 1966 0.771 1967 0.95 1968 0.99 1969 0.76 1970 0.865 1971 0.825 1972 0.811 1973 0.771 1974 0.919 1975 0.825 1976 1.145 1977 1.168 1978 0.814 1979 0.933 1980 1.219 1981 1.124 1982 1.058 1983 0.761 1984 0.942 1985 0.852 1986 0.741 1987 1.336