# asia_russ021w - Polar Ural (historisch) - 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/4597 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ021w - Polar Ural (historisch) - 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: Polar Ural (historisch) # Location: # Country: Russia # Northernmost_Latitude: 66.87 # Southernmost_Latitude: 66.87 # Easternmost_Longitude: 65.63 # Westernmost_Longitude: 65.63 # Elevation: 250 m #-------------------- # Data_Collection # Collection_Name: asia_russ021wB # Earliest_Year: 914 # Most_Recent_Year: 1990 # 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":"5.77351541578","T2":"17.2322371221","M1":"0.0224848850362","M2":"0.416712926285"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 914 0.732 915 1.604 916 0.486 917 0.709 918 0.743 919 0.57 920 0.339 921 0.331 922 0.846 923 0.938 924 1.048 925 0.615 926 0.942 927 1.052 928 1.414 929 0.593 930 0.838 931 1.084 932 0.722 933 1.079 934 1.472 935 1.313 936 1.413 937 1.055 938 0.717 939 1.116 940 0.632 941 0.682 942 0.858 943 0.953 944 1.31 945 1.61 946 1.093 947 0.888 948 0.822 949 0.906 950 0.855 951 1.408 952 1.601 953 2.08 954 0.875 955 0.94 956 0.395 957 1.648 958 1.235 959 1.257 960 1.415 961 2.13 962 2.113 963 1.499 964 0.493 965 1.753 966 1.302 967 0.916 968 0.966 969 1.081 970 1.022 971 0.962 972 0.534 973 0.62 974 0.67 975 0.357 976 0.479 977 0.822 978 0.615 979 0.574 980 0.729 981 0.552 982 0.484 983 0.754 984 0.407 985 0.464 986 0.579 987 0.609 988 0.585 989 1.132 990 1.519 991 0.288 992 1.052 993 1.057 994 1.354 995 2.359 996 1.399 997 0.968 998 0.999 999 1.121 1000 1.092 1001 1.321 1002 0.367 1003 0.857 1004 0.664 1005 1.48 1006 0.737 1007 0.802 1008 1.051 1009 0.981 1010 1.116 1011 0.748 1012 1.248 1013 1.045 1014 1.097 1015 1.213 1016 1.062 1017 1.09 1018 0.563 1019 0.824 1020 1.175 1021 1.292 1022 1.196 1023 0.893 1024 1.123 1025 0.364 1026 1.336 1027 1.067 1028 0.902 1029 1.522 1030 0.766 1031 0.911 1032 0.758 1033 1.001 1034 1.348 1035 1.483 1036 1.459 1037 1.554 1038 0.761 1039 1.146 1040 1.335 1041 1.418 1042 1.073 1043 1.628 1044 1 1045 0.639 1046 1.012 1047 0.572 1048 1.005 1049 0.88 1050 1.017 1051 0.576 1052 1.029 1053 1.344 1054 1.133 1055 1.464 1056 0.812 1057 1.011 1058 0.569 1059 0.88 1060 0.903 1061 0.962 1062 0.844 1063 0.975 1064 1.081 1065 0.359 1066 1.241 1067 0.948 1068 0.782 1069 0.735 1070 0.468 1071 0.739 1072 0.543 1073 1.227 1074 0.831 1075 0.929 1076 0.62 1077 0.553 1078 1.037 1079 0.713 1080 0.825 1081 1.157 1082 1.817 1083 1.569 1084 1.169 1085 0.942 1086 0.751 1087 1.404 1088 0.673 1089 1.911 1090 1.648 1091 1.396 1092 0.968 1093 1.01 1094 1.547 1095 1.515 1096 0.891 1097 0.852 1098 0.531 1099 0.697 1100 0.604 1101 0.814 1102 0.698 1103 1.195 1104 1.05 1105 0.976 1106 0.702 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0.783 1382 1.314 1383 0.406 1384 1.284 1385 1.645 1386 0.969 1387 0.67 1388 0.978 1389 0.643 1390 0.803 1391 1.237 1392 0.472 1393 1.04 1394 1.132 1395 1.418 1396 1.15 1397 0.935 1398 0.956 1399 0.774 1400 0.671 1401 0.581 1402 0.671 1403 1.058 1404 1.246 1405 0.913 1406 0.903 1407 1.349 1408 0.698 1409 0.743 1410 1.323 1411 1.289 1412 0.538 1413 1.015 1414 0.627 1415 1.149 1416 1.079 1417 1.187 1418 1.227 1419 1.377 1420 0.706 1421 0.979 1422 0.634 1423 0.744 1424 0.687 1425 1.22 1426 1.304 1427 1.663 1428 1.533 1429 0.813 1430 1.038 1431 1.098 1432 0.85 1433 0.707 1434 0.938 1435 0.708 1436 1.372 1437 1.203 1438 1.005 1439 1.098 1440 0.717 1441 0.647 1442 1.226 1443 1.262 1444 1.541 1445 1.346 1446 0.596 1447 0.857 1448 0.558 1449 0.464 1450 0.539 1451 0.493 1452 0.552 1453 0.313 1454 0.776 1455 0.484 1456 0.186 1457 0.773 1458 0.658 1459 0.535 1460 0.654 1461 1.091 1462 0.804 1463 1.106 1464 1.02 1465 1.78 1466 0.499 1467 0.521 1468 0.674 1469 0.589 1470 1.012 1471 0.992 1472 1.26 1473 1.844 1474 1.79 1475 1.588 1476 1.425 1477 0.723 1478 1.158 1479 1.391 1480 1.75 1481 0.568 1482 1.021 1483 0.517 1484 0.898 1485 0.594 1486 0.526 1487 0.89 1488 1.08 1489 1.123 1490 1.004 1491 1.414 1492 1.409 1493 0.928 1494 0.892 1495 1.319 1496 1.586 1497 1.464 1498 1.314 1499 0.603 1500 0.753 1501 1.163 1502 0.613 1503 0.914 1504 0.865 1505 1.537 1506 1.232 1507 1.477 1508 0.568 1509 0.874 1510 1.118 1511 0.942 1512 1.268 1513 1.464 1514 0.989 1515 0.703 1516 0.491 1517 0.883 1518 1.063 1519 0.87 1520 0.704 1521 1.036 1522 0.997 1523 0.666 1524 0.338 1525 0.629 1526 0.639 1527 0.621 1528 0.8 1529 0.536 1530 1.039 1531 0.642 1532 1.053 1533 1.22 1534 1.142 1535 0.604 1536 1.264 1537 1.178 1538 1.077 1539 1.276 1540 1.849 1541 1.573 1542 1.067 1543 0.764 1544 0.823 1545 0.707 1546 0.792 1547 1.241 1548 0.889 1549 0.871 1550 0.781 1551 1.187 1552 0.945 1553 1.059 1554 0.988 1555 0.771 1556 0.957 1557 1.285 1558 0.923 1559 1.512 1560 0.499 1561 0.943 1562 0.873 1563 1.241 1564 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1840 0.948 1841 0.381 1842 1.124 1843 0.702 1844 1.097 1845 0.979 1846 1.059 1847 1.491 1848 1.415 1849 1.691 1850 1.598 1851 1.764 1852 1.043 1853 1.351 1854 1.236 1855 0.346 1856 1.372 1857 0.781 1858 1.149 1859 1.512 1860 0.848 1861 1.382 1862 0.983 1863 0.742 1864 0.77 1865 0.814 1866 1.103 1867 0.419 1868 1.635 1869 0.998 1870 2.005 1871 1.385 1872 1.527 1873 0.887 1874 0.874 1875 0.738 1876 1.068 1877 1.411 1878 1.418 1879 1.414 1880 0.996 1881 0.975 1882 0.362 1883 0.244 1884 0.448 1885 0.268 1886 0.605 1887 0.693 1888 0.476 1889 0.304 1890 1.101 1891 0.344 1892 0.452 1893 0.722 1894 0.419 1895 0.629 1896 0.58 1897 0.759 1898 1.114 1899 0.38 1900 0.727 1901 0.585 1902 0.848 1903 0.396 1904 0.916 1905 0.832 1906 0.526 1907 0.571 1908 0.579 1909 0.768 1910 0.487 1911 1.042 1912 0.711 1913 1.008 1914 0.574 1915 1.254 1916 0.745 1917 1.009 1918 1.032 1919 0.549 1920 0.832 1921 1.183 1922 1.254 1923 1.714 1924 1.696 1925 1.115 1926 1.022 1927 1.164 1928 1.103 1929 0.899 1930 0.369 1931 0.688 1932 0.668 1933 1.166 1934 0.721 1935 0.948 1936 0.845 1937 1.569 1938 1.647 1939 1.788 1940 1.174 1941 0.724 1942 1.418 1943 1.617 1944 1.26 1945 1.429 1946 0.91 1947 0.337 1948 0.87 1949 0.618 1950 0.856 1951 0.896 1952 1.076 1953 1.078 1954 1.125 1955 1.454 1956 1.909 1957 1.459 1958 1.119 1959 0.983 1960 0.724 1961 1.051 1962 0.951 1963 1.694 1964 1.461 1965 1.669 1966 0.769 1967 0.951 1968 0.691 1969 0.953 1970 0.593 1971 0.598 1972 0.878 1973 0.598 1974 0.999 1975 0.291 1976 1.11 1977 0.859 1978 1.3 1979 1.302 1980 0.723 1981 1.324 1982 1.251 1983 1.594 1984 1.568 1985 1.05 1986 0.56 1987 1.417 1988 1.215 1989 1.407 1990 1.411