# 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/fig7precip-filt.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, ## precip precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,filtered,,N, ## bcc-csm1-1 precipitation, bcc-csm1-1, , mm/day, May-Sep, climate reconstructions,filtered,,N, ## CCSM4 precipitation, CCSM4, , mm/day, May-Sep, climate reconstructions,filtered,,N, ## FGOALS-s2 precipitation, FGOALS-s2, , mm/day, May-Sep, climate reconstructions,filtered,,N, ## GISS-E2-R precipitation, GISS-E2-R, , mm/day, May-Sep, climate reconstructions,filtered,,N, ## IPSL-CM5A-LR precipitation, IPSL-CM5A-LR, , mm/day, May-Sep, climate reconstructions,filtered,,N, ## MPI-ESM-P precipitation, MPI-ESM-P, , mm/day, May-Sep, climate reconstructions,filtered,,N, # #---------------- # Data: # Data lines follow 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0.0691 1867 0.0917 -0.0074 -0.0802 -0.1652 0.1385 -0.0216 0.0754 1868 0.1047 -0.0461 -0.0536 -0.1316 0.1785 0.0217 0.0517 1869 0.1123 -0.0412 0.0084 -0.0876 0.1409 0.0346 0.0375 1870 0.1154 -0.0194 0.0031 -0.1022 0.1047 0.0381 0.0282 1871 0.0804 -0.0565 -0.0009 -0.0807 0.1106 0.033 0.0331 1872 0.0689 -0.0295 -0.019 -0.055 0.0647 -0.0088 0.0508 1873 0.0182 -0.0016 -0.0053 -0.0574 0.0849 0.0024 0.0212 1874 0.0082 0.0141 -0.0109 -0.0562 0.0948 0.012 -0.0069 1875 0.0062 0.0323 -0.0036 -0.0207 0.0822 0.0224 -0.0227 1876 -0.0228 0.0231 -0.013 -0.0278 0.0653 0.0248 -0.032 1877 -0.0269 0.0136 -0.0298 -0.0514 0.0469 -0.028 -0.0193 1878 -0.0296 0.0037 -0.0705 -0.0716 0.0916 -0.0314 -0.0237 1879 0.0073 0.0049 -0.0867 -0.0701 0.0815 -0.0049 -0.022 1880 0.0325 0.0011 -0.1241 -0.1268 0.0702 0.0141 -0.0119 1881 0.0703 -0.0127 -0.1078 -0.1638 0.0487 0.0307 0.0354 1882 0.1274 0.0208 -0.0882 -0.1251 0.0091 0.0387 0.0419 1883 0.131 0.0185 -0.1294 -0.1533 -0.0004 0.0363 0.0324 1884 0.1578 0.0134 -0.124 -0.1589 -0.0114 0.0313 0.0629 1885 0.2171 -0.0174 -0.1645 -0.134 0.0219 0.0535 0.0714 1886 0.2333 -0.0255 -0.2064 -0.1219 0.0412 0.0649 0.1065 1887 0.2285 -0.0167 -0.2236 -0.1492 0.0617 0.0279 0.1167 1888 0.2046 -0.0454 -0.2126 -0.1445 0.1351 0.0221 0.1241 1889 0.2277 -0.0355 -0.1234 -0.0959 0.1397 0.0104 0.1009 1890 0.2292 -0.0483 -0.182 -0.1121 0.1493 -0.0154 0.074 1891 0.1794 -0.0991 -0.1866 -0.1576 0.1685 -0.0467 0.0687 1892 0.1961 -0.0825 -0.1691 -0.1077 0.1488 -0.0266 0.0687 1893 0.1714 -0.1376 -0.1755 -0.1075 0.1059 -0.0305 0.0311 1894 0.1235 -0.1552 -0.1182 -0.1543 0.1034 -0.0316 -0.0056 1895 0.0905 -0.1109 -0.0431 -0.1455 0.1029 -0.0159 -0.0656 1896 0.0622 -0.0935 -0.0195 -0.1072 0.0875 0.0095 -0.057 1897 0.0785 -0.0942 -0.0273 -0.1176 0.0507 -0.0101 -0.0601 1898 0.04 -0.0821 -0.0707 -0.0915 0.0282 -0.023 -0.0316 1899 0.044 -0.1143 -0.0216 -0.0954 0.0075 -0.03 -0.0386 1900 0.0873 -0.0862 -0.0421 -0.0783 0.0123 -0.0408 -0.0436 1901 0.0691 -0.0952 -0.0167 -0.1259 0.0198 -0.0372 -0.0388 1902 0.0803 -0.0648 -0.0074 -0.1357 0.054 -0.0178 -0.0029 1903 0.0672 -0.096 -0.0366 -0.0857 0.047 -0.0277 0.033 1904 0.0774 -0.1148 -0.0868 -0.0945 0.0551 -0.0298 0.0336 1905 0.1299 -0.1471 -0.1099 -0.1296 0.0177 0.0188 0.0286 1906 0.1193 -0.12 -0.0681 -0.1162 0.0204 0.059 0.0002 1907 0.1807 -0.115 -0.0908 -0.1442 0.1006 0.0581 -0.0249 1908 0.1601 -0.0623 -0.0924 -0.1046 0.1378 0.0791 -0.0424 1909 0.1426 -0.0744 -0.0847 -0.1337 0.1348 0.0898 -0.0227 1910 0.1454 -0.0902 -0.0513 -0.16 0.165 0.0412 -0.0298 1911 0.1697 -0.079 -0.0425 -0.1441 0.1568 0.0356 -0.0953 1912 0.1514 -0.009 -0.013 -0.1795 0.1706 -0.0012 -0.1041 1913 0.1574 -0.0148 0.0336 -0.1549 0.1605 0.0201 -0.127 1914 0.1532 -0.0246 0.0411 -0.1323 0.1773 -0.042 -0.1237 1915 0.1293 -0.0398 -0.0195 -0.1348 0.1885 -0.0818 -0.0698 1916 0.0822 -0.0509 0.0174 -0.1193 0.1299 -0.0764 -0.0631 1917 0.1001 -0.0648 0.0034 -0.1345 0.1328 -0.0725 -0.0551 1918 0.1161 -0.0466 0.0113 -0.0779 0.1405 -0.044 -0.0793 1919 0.1254 -0.0311 -0.021 0.0247 0.1185 0 -0.0599 1920 0.1093 -0.0262 -0.0295 -0.0105 0.1197 -0.0578 -0.0123 1921 0.1147 -0.0729 -0.0601 -0.0261 0.1252 -0.0289 -0.0316 1922 0.0904 -0.0901 -0.0899 0.0282 0.1443 -0.0756 -0.0019 1923 0.0497 -0.0226 -0.0946 0.0654 0.116 -0.0265 -0.0135 1924 0.0296 -0.026 -0.078 0.0612 0.1224 -0.0083 0.0069 1925 0.0117 -0.0157 -0.0807 0.0757 0.0845 -0.0206 0.0106 1926 -0.0239 -0.036 -0.0607 0.0848 0.0707 0.0083 0.0271 1927 0.0028 -0.014 -0.0918 0.1284 0.0573 -0.017 0.0463 1928 -0.0135 -0.0311 -0.0719 0.1311 0.0582 -0.0345 0.0394 1929 -0.0232 -0.0224 -0.1164 0.1469 0.1169 0.0018 0.0089 1930 -0.0143 -0.0424 -0.096 0.1609 0.0909 0.0039 0.0327 1931 0.004 -0.031 -0.0546 0.1121 0.0462 0.0488 0.0289 1932 0.0057 -0.0386 -0.0444 0.0717 0.0682 0.0586 0.0348 1933 0.0667 0.0001 -0.0839 0.048 0.0194 0.0464 0.0119 1934 0.1114 -0.0321 -0.0907 0.0043 0.0721 0.0769 0.0056 1935 0.1169 -0.0112 -0.0909 -0.0203 0.0926 0.0749 -0.0509 1936 0.0682 -0.0488 -0.0509 -0.0968 0.0937 0.0822 -0.0812 1937 0.0467 -0.0715 -0.0353 -0.1266 0.0877 0.0685 -0.1018 1938 0.0115 -0.0406 -0.0058 -0.1016 0.07 0.0908 -0.0771 1939 0.0334 0.0083 -0.0087 -0.0991 0.0715 0.0875 -0.0928 1940 0.0031 0.0291 -0.0597 -0.1155 0.0594 0.0727 -0.0788 1941 0.0165 -0.0506 -0.0351 -0.0878 0.0474 0.0061 -0.0994 1942 0.003 -0.0375 -0.004 -0.0764 0.1152 0.067 -0.0948 1943 0.0049 -0.0245 0.0113 -0.0774 0.1034 0.0646 -0.1126 1944 0.0418 -0.0308 -0.0258 -0.0556 0.0785 0.0054 -0.0816 1945 0.0979 -0.0042 -0.0184 0.0052 0.0722 0.0305 -0.0849 1946 0.1263 0.0531 -0.0294 -0.0219 0.1143 0.0075 -0.0652 1947 0.1342 0.0376 -0.0139 -0.068 0.0727 -0.0035 -0.0583 1948 0.1403 0.041 -0.0239 -0.0727 0.0787 0.0089 -0.0701 1949 0.1444 -0.0072 -0.0078 -0.0787 0.1383 0.0019 -0.0957 1950 0.1954 0.0198 -0.0124 -0.1109 0.2109 0.027 -0.1277 1951 0.1812 0.0053 0.0083 -0.0875 0.1729 -0.0163 -0.1766 1952 0.1904 0.0122 -0.0041 -0.0967 0.196 -0.0476 -0.1787 1953 0.1516 -0.0013 0.0369 -0.035 0.2181 0.0055 -0.1886 1954 0.1031 -0.0202 -0.0342 -0.0955 0.2113 -0.0115 -0.1326 1955 0.1052 -0.0708 -0.0389 -0.0822 0.1663 0.0206 -0.1311 1956 0.0942 -0.1149 -0.0954 -0.0331 0.1509 0.004 -0.1697 1957 0.067 -0.0831 -0.0728 -0.0284 0.1402 -0.0208 -0.1183 1958 0.1012 -0.0286 -0.0417 0.0006 0.1173 -0.0212 -0.0839 1959 0.0473 0.0375 -0.0881 0.0207 0.089 -0.0212 -0.0685 1960 0.0813 -0.0101 -0.0736 0.0219 0.0503 -0.0357 -0.0686 1961 0.0101 0.0006 -0.0918 0.0071 0.0093 -0.0418 -0.0403 1962 -0.0183 0.0041 -0.0939 -0.0303 -0.0586 -0.0438 -0.0114 1963 -0.0223 -0.0076 -0.0631 0.0079 -0.0549 -0.0301 0 1964 -0.043 0.0462 -0.0678 0.0018 -0.0291 -0.004 0.0099 1965 -0.0143 0.0532 -0.0464 -0.0277 0.0103 -0.0374 0.0737 1966 0.0152 -0.0078 -0.004 -0.037 0.0141 -0.034 0.0506 1967 -0.0159 -0.0436 -0.0306 -0.021 0.0135 -0.0453 0.0422 1968 -0.0569 -0.1059 0.0019 -0.0287 -0.0094 -0.0525 0.0751 1969 -0.0371 -0.0735 -0.0035 -0.0486 -0.0197 -0.0349 0.0727 1970 0.0061 -0.0651 0.0182 -0.0222 -0.0336 0.011 0.0989 1971 0.0502 -0.0763 -0.0282 -0.0587 0.004 -0.0146 0.062 1972 0.0511 -0.0672 -0.0075 -0.0889 -0.0051 -0.0059 0.0141 1973 0.0704 -0.0837 -0.0176 -0.0782 -0.0319 -0.0365 -0.0073 1974 0.0366 -0.0962 0.0525 -0.0404 -0.0522 0.0155 -0.05 1975 0.0077 -0.0506 -0.0074 0.0138 -0.0329 0.0417 -0.06 1976 0.0137 0.0028 -0.0095 -0.0425 -0.0171 0.0487 -0.0644 1977 0.045 0.0505 -0.0127 0.0046 -0.04 0.0503 -0.0553 1978 -0.024 0.036 -0.0556 0.0359 0.0083 0.0241 -0.0243 1979 -0.0259 0.0193 -0.0366 0.0141 0.0153 -0.014 -0.0696 1980 -0.026 0.0476 -0.0088 0.0182 0.0138 0.0062 -0.0306 1981 -0.0212 0.0323 -0.0152 0.0202 0.0414 0.026 -0.0261 1982 -0.0475 0.0304 -0.0188 0.0434 0.0355 0.0688 0.0219 1983 -0.0275 0.068 -0.0445 0.0549 0.0478 0.0558 0.0062 1984 -0.0187 0.0379 -0.0148 0.0013 0.0583 0.0289 -0.0025 1985 -0.0473 -0.0107 0.0276 0.0312 -0.0135 0.0066 0.0055 1986 -0.0269 -0.0522 0.0132 0.0127 0.0094 0.0315 -0.0192 1987 -0.0121 -0.0865 0.0227 0.0041 -0.0239 0.0041 -0.0313 1988 -0.0492 -0.0923 -0.0028 0.0444 -0.041 0.0144 -0.0554 1989 -0.0386 -0.0712 0.0342 0.0753 -0.0575 -0.0376 -0.0668 1990 -0.0157 -0.0496 0.026 0.0939 -0.0894 -0.0708 -0.051 1991 -0.0148 -0.0352 0.027 0.0497 -0.1298 -0.0931 -0.1061 1992 0.0166 -0.0506 -0.0101 0.0544 -0.1586 -0.0789 -0.051 1993 -0.0079 -0.0536 -0.0402 0.0977 -0.1953 -0.0805 -0.0256 1994 0.0611 -0.043 -0.097 0.0601 -0.1735 -0.0524 -0.0071 1995 0.079 -0.0293 -0.089 0.0981 -0.171 -0.0699 0.0426 1996 0.0685 0.0438 -0.081 0.0913 -0.131 -0.0365 0.043 1997 0.0844 0.0892 -0.0896 0.0701 -0.1033 -0.0131 0.0846 1998 0.0682 0.098 -0.1305 0.0899 -0.0783 0.0341 0.1024 1999 0.0356 0.0635 -0.1306 0.071 -0.0718 0.0024 0.081 2000 0.0328 0.0516 -0.1505 0.0883 -0.0452 -0.0073 0.1117