# China 530 Year Multiproxy May-September Precipitation Field Reconstructions #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # 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: https://www.ncdc.noaa.gov/paleo/study/23056 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/reconstructions/shi2017/fig4sia.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Dataset DOI: # # Parameter_Keywords: precipitation #-------------------- # Contribution_Date # Date: 2017-12-22 #-------------------- # File_Last_Modified_Date # Date: 2017-12-22 #-------------------- # Title # Study_Name: China 530 Year Multiproxy May-September Precipitation Field Reconstructions #-------------------- # Investigators # Investigators: Shi, F.; Zhao, S.; Guo, Z.; Goosse, H.; Yin, Q. #-------------------- # Description_Notes_and_Keywords # Description: Multiproxy precipitation field reconstructions for China over the past 531 years. # Data are available in Excel, netCDF, and text format, as follows: # 1. IGGPRE.1.0.anom.nc: China 531 Year Multiproxy Precipitation Reconstruction, netCDF format. See netCDF header below for contents # 2. itrdbmatrix.xlsx and itrdbmatrix.txt: the detrended and infilled version of 362 tree-ring chronologies, Excel and text formats # 3. oie_v1_3.m: the script for Optimal Information Extraction (OIE) version 1.3, Matlab script # 4. fig4_fig5_figs4.xlsx, fig4.txt, fig4sid.txt, fig4sia.txt, fig5lt.txt, fig5md.txt, fig5cent.txt: the data of Fig.4, Fig.5, and Fig.s4, Excel and text formats # 5. fig7.xlsx, fig7precip.txt, fig7precip-filt.txt: the reconstruction and model data of Fig.7, Excel and text formats # #-------------------- # Publication # Authors: Feng Shi, Sen Zhao, Zhengtang Guo, Hugues Goosse, and Qiuzhen Yin # Published_Date_or_Year: 2017-12-22 # Published_Title: Multi-proxy reconstructions of May-September precipitation field in China over the past 500 years # Journal_Name: Climate of the Past # Volume: 13 # Edition: # Issue: # Pages: 1919-1938 # Report_Number: # DOI: 10.5194/cp-13-1919-2017 # Online_Resource: https://www.clim-past.net/13/1919/2017/ # Full_Citation: # Abstract: The dominant modes of variability of precipitation for the whole of China over the past millennium and the mechanism governing their spatial structure remain unclear. This is mainly due to insufficient high-resolution proxy records of precipitation in western China. Numerous tree-ring chronologies have recently been archived in publicly available databases through PAGES2k activities, and these provide an opportunity to refine precipitation field reconstructions for China. Based on 479 proxy records, including 371 tree-ring width chronologies, a tree-ring isotope chronology, and 107 drought/flood indices, we reconstruct the precipitation field for China for the past half millennium using the optimal information extraction method. A total of 3631 of 4189 grid points in the reconstruction field passed the cross-validation process, accounting for 86.68% of the total number of grid points. The first leading mode of variability of the reconstruction shows coherent variations over most of China. The second mode is a north-south dipole in eastern China characterized by variations of the same sign in western China and northern China (except for Xinjiang province). It is likely controlled by the El Niņo-Southern Oscillation (ENSO) variability. The third mode is a "sandwich" triple mode in eastern China including variations of the same sign in western China and central China. The last two modes are reproduced by most of the six coupled climate models' last millennium simulations performed in the framework of the Paleoclimate Modelling Intercomparison Project Phase III (PMIP3). In particular, the link of the second mode with ENSO is confirmed by the models. However, there is a mismatch between models and proxy reconstructions in the time development of different modes. This mismatch suggests the important role of internal variability in the reconstructed precipitation mode variations of the past 500 years. #------------------ # Funding_Agency # Funding_Agency_Name: Ministry of Science and Technology of the People's Republic of China # Grant: National Key R&D Program of China 2016YFA0600504 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 41505081, 41690114, 41430531 #------------------ # Site_Information # Site_Name: China # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 52.0 # Southernmost_Latitude: 20.0 # Easternmost_Longitude: 135.0 # Westernmost_Longitude: 74.0 # Elevation: #------------------ # Data_Collection # Collection_Name: Shi2017precip # Earliest_Year: 1470 # Most_Recent_Year: 2000 # Time_Unit: CE # Core_Length: # Notes: #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## age_CE age, , , CE, , , , ,N, ## precipC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Whole China precipitation interannual component ## precipWC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Western China precipitation interannual component ## precipEC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Eastern China precipitation interannual component # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_CE precipC precipWC precipEC 1470 -0.2432 -0.0961 -0.3602 1471 0.0372 0.0386 0.0593 1472 -0.1433 0.0098 -0.3000 1473 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1800 0.0938 -0.0010 0.1832 1801 0.0931 -0.0498 0.2506 1802 -0.1931 -0.0197 -0.3806 1803 0.0592 0.1258 -0.0146 1804 0.0651 -0.0285 0.1676 1805 -0.0743 -0.0856 -0.0565 1806 0.1709 0.0329 0.3290 1807 -0.2200 0.0386 -0.4913 1808 0.1005 -0.0078 0.2326 1809 -0.0041 -0.0590 0.0736 1810 0.0103 -0.0791 0.1219 1811 0.0063 0.1069 -0.1015 1812 0.0562 -0.0267 0.1350 1813 -0.1841 -0.1426 -0.2510 1814 -0.1580 -0.0153 -0.3280 1815 0.1731 0.1248 0.2024 1816 0.1773 0.1111 0.2306 1817 -0.1099 -0.0707 -0.1766 1818 0.0337 -0.0290 0.0874 1819 0.1355 0.0134 0.2752 1820 -0.2490 -0.0719 -0.4296 1821 0.0556 0.0605 0.0786 1822 0.2547 0.1437 0.4221 1823 0.2141 0.0866 0.4063 1824 -0.2391 -0.1586 -0.2745 1825 -0.1698 0.0699 -0.3969 1826 0.0824 0.0225 0.1660 1827 -0.0950 0.0646 -0.2791 1828 -0.0653 -0.0726 -0.0874 1829 0.0400 -0.0283 0.0800 1830 0.0320 0.0561 -0.0228 1831 0.1133 -0.0910 0.3129 1832 0.0944 0.1702 0.0074 1833 0.1447 -0.0905 0.4124 1834 0.1491 -0.0152 0.3501 1835 -0.3063 -0.0369 -0.5803 1836 -0.1405 0.0233 -0.3134 1837 0.0677 -0.0341 0.1774 1838 -0.0276 -0.0385 -0.0314 1839 0.2053 0.1197 0.2844 1840 -0.0152 -0.0291 -0.0180 1841 0.0570 0.1194 -0.0158 1842 -0.0637 -0.0695 -0.0495 1843 -0.0385 -0.0438 -0.0443 1844 0.1095 -0.0708 0.2617 1845 -0.0374 -0.0136 -0.1296 1846 -0.0233 0.1064 -0.2375 1847 -0.2141 -0.0745 -0.4277 1848 0.2524 0.1128 0.3721 1849 0.2836 0.0902 0.4940 1850 -0.2024 -0.1037 -0.2982 1851 0.0326 0.0886 -0.0116 1852 -0.1189 -0.0715 -0.1487 1853 0.2174 0.0745 0.3954 1854 -0.0316 0.0300 -0.0799 1855 0.0081 -0.0947 0.1305 1856 -0.0827 0.0817 -0.2551 1857 -0.1191 0.0753 -0.3338 1858 -0.0749 -0.0837 -0.0817 1859 0.0368 0.0342 0.0080 1860 0.2147 0.0949 0.2994 1861 -0.0708 -0.1694 -0.0085 1862 0.1108 0.0755 0.1227 1863 0.1109 0.1462 0.0720 1864 -0.0349 -0.0126 -0.0290 1865 -0.1712 -0.0324 -0.2703 1866 -0.0405 -0.0219 -0.0030 1867 -0.1159 -0.0566 -0.1281 1868 0.0526 -0.0262 0.1656 1869 0.0476 -0.0009 0.0975 1870 -0.0253 0.0505 -0.1310 1871 0.1705 0.0430 0.2741 1872 0.1880 0.0516 0.2979 1873 0.0792 0.0143 0.1070 1874 -0.0133 -0.0833 0.0168 1875 -0.1630 -0.0713 -0.3069 1876 0.0107 0.0466 -0.0606 1877 -0.1806 -0.1691 -0.2058 1878 0.1400 0.1519 0.1384 1879 0.0795 -0.0859 0.2907 1880 -0.0523 -0.0540 -0.0186 1881 0.1073 0.0200 0.2191 1882 -0.0658 0.0449 -0.2290 1883 0.1297 0.1341 0.0380 1884 -0.1769 -0.2560 -0.2158 1885 0.0702 -0.1503 0.1848 1886 0.0447 0.0534 -0.0714 1887 -0.1063 -0.0597 -0.2234 1888 0.0748 0.1082 0.0172 1889 0.2794 0.1449 0.4502 1890 0.1014 0.0921 0.1694 1891 -0.2187 0.0623 -0.4518 1892 -0.1510 -0.0433 -0.1771 1893 0.0148 0.0406 0.0636 1894 0.1256 0.0699 0.2521 1895 -0.3034 -0.3068 -0.2571 1896 0.2019 0.1362 0.3026 1897 0.0485 -0.0964 0.2275 1898 0.0679 -0.0156 0.1755 1899 0.0213 0.1978 -0.1560 1900 -0.2784 -0.1182 -0.4416 1901 0.1494 -0.0179 0.3386 1902 -0.2331 -0.1032 -0.3914 1903 0.2040 0.1453 0.2423 1904 0.0745 -0.0035 0.1301 1905 -0.0174 0.0432 -0.1071 1906 0.0619 -0.0805 0.2269 1907 -0.1562 0.0201 -0.3215 1908 -0.0010 -0.0496 0.0748 1909 0.0786 -0.0277 0.1966 1910 -0.0527 -0.0354 -0.0876 1911 0.2284 0.0728 0.3452 1912 -0.0513 0.0204 -0.1986 1913 -0.1380 0.0142 -0.3681 1914 -0.0305 -0.0897 -0.0176 1915 0.2495 0.1538 0.3482 1916 -0.3461 -0.0545 -0.6307 1917 0.0347 0.0078 0.1252 1918 0.0336 -0.0659 0.2226 1919 -0.2538 -0.0631 -0.3887 1920 -0.1568 0.0499 -0.3372 1921 0.1766 0.0026 0.3799 1922 0.1075 0.0557 0.1475 1923 0.1819 -0.0324 0.3912 1924 0.2646 0.1791 0.3361 1925 -0.1190 0.0654 -0.3203 1926 0.0067 -0.0477 0.0782 1927 -0.1473 -0.1866 -0.0907 1928 -0.2781 -0.0197 -0.5705 1929 -0.2110 0.0632 -0.5521 1930 -0.1000 -0.0644 -0.2087 1931 0.3299 0.0683 0.5378 1932 -0.0331 -0.0452 -0.0773 1933 0.0720 0.1566 -0.0316 1934 -0.1629 -0.0653 -0.2300 1935 0.0388 -0.0703 0.2108 1936 -0.2543 -0.0944 -0.4045 1937 0.1819 0.0228 0.3372 1938 0.1547 0.1146 0.1514 1939 -0.0220 0.0123 -0.0986 1940 -0.0225 -0.0756 0.0287 1941 -0.1078 -0.0434 -0.1408 1942 -0.1248 -0.0431 -0.1498 1943 0.1304 0.1440 0.1816 1944 -0.1925 -0.1448 -0.1903 1945 -0.1546 -0.1536 -0.1151 1946 -0.0358 -0.0602 0.0297 1947 0.0156 -0.0003 0.0599 1948 0.1049 0.1009 0.1344 1949 0.2520 0.2071 0.3403 1950 -0.0675 -0.0320 -0.0687 1951 -0.2288 -0.0233 -0.4253 1952 0.0630 0.1375 0.0035 1953 -0.2213 -0.3140 -0.0909 1954 0.2947 0.1026 0.5349 1955 -0.1227 -0.0118 -0.2186 1956 0.1807 0.0348 0.3519 1957 -0.1261 0.1217 -0.4229 1958 -0.0430 0.0506 -0.1981 1959 0.0817 0.1017 0.0121 1960 -0.2145 -0.0900 -0.3853 1961 -0.0880 -0.0095 -0.1795 1962 0.1871 -0.0292 0.4300 1963 -0.0764 -0.0921 -0.0603 1964 0.3280 0.1658 0.4918 1965 -0.2869 -0.0746 -0.5586 1966 -0.1992 0.0298 -0.4984 1967 0.1023 -0.0389 0.2018 1968 0.0738 0.0519 0.0372 1969 0.1948 -0.0585 0.4225 1970 0.2936 0.0893 0.4674 1971 -0.0370 -0.0835 -0.0206 1972 -0.4682 -0.1825 -0.7858 1973 0.4009 0.2123 0.6300 1974 -0.0731 0.0075 -0.1266 1975 0.0004 -0.1410 0.1897 1976 -0.0619 -0.0109 -0.1073 1977 0.1240 0.0584 0.1959 1978 -0.1700 0.0325 -0.3986 1979 0.0326 -0.0689 0.1353 1980 0.0716 0.0219 0.1342 1981 -0.0744 0.1239 -0.2754 1982 -0.0670 -0.1320 0.0372 1983 0.0850 0.0415 0.1711 1984 0.1628 0.0113 0.3660 1985 0.0953 0.0016 0.2334 1986 -0.0506 0.0371 -0.1299 1987 0.0232 -0.0642 0.1357 1988 0.0941 0.0806 0.1227 1989 -0.2101 -0.1497 -0.2741 1990 0.0895 0.2088 -0.0471 1991 0.0530 0.1021 -0.0118 1992 -0.2634 -0.2128 -0.3383 1993 0.2293 0.1529 0.2955 1994 0.2511 0.0894 0.4014 1995 -0.1294 -0.1874 -0.1030 1996 0.1792 0.0640 0.2613 1997 -0.2928 -0.0880 -0.5731 1998 0.2044 0.0725 0.2811 1999 0.0064 0.2008 -0.2814 2000 -0.3163 -0.1001 -0.6268