# 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/fig7.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,,,N, ## bcc-csm1-1 precipitation, bcc-csm1-1, , mm/day, May-Sep, climate reconstructions,,,N, ## CCSM4 precipitation, CCSM4, , mm/day, May-Sep, climate reconstructions,,,N, ## FGOALS-s2 precipitation, FGOALS-s2, , mm/day, May-Sep, climate reconstructions,,,N, ## GISS-E2-R precipitation, GISS-E2-R, , mm/day, May-Sep, climate reconstructions,,,N, ## IPSL-CM5A-LR precipitation, IPSL-CM5A-LR, , mm/day, May-Sep, climate reconstructions,,,N, ## MPI-ESM-P precipitation, MPI-ESM-P, , mm/day, May-Sep, climate reconstructions,,,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, 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1870 0.0974 -0.0628 -0.122 -0.4495 0.2667 0.0354 0.148 1871 0.261 0.353 -0.0875 -0.0101 -0.0615 -0.1257 0.1325 1872 0.2359 -0.0177 0.0738 -0.0155 0.1204 0.2592 -0.068 1873 0.0753 0.0091 0.3784 0.1068 -0.1419 0.0486 -0.0875 1874 -0.0689 -0.0167 0.0622 -0.1364 -0.1135 -0.1263 -0.0802 1875 -0.2544 -0.2491 -0.2275 0.104 0.1231 0.0231 0.0553 1876 -0.095 0.1308 -0.0803 0.2091 0.2292 -0.0973 -0.0179 1877 -0.2691 0.0424 0.0095 -0.2616 0.1957 0.0842 -0.1059 1878 0.0914 -0.0625 -0.1048 -0.0523 0.2347 0.0073 -0.0388 1879 0.0798 0.1017 -0.0559 -0.1307 0.1539 0.1288 0.0061 1880 -0.0005 0.2698 -0.1721 -0.0736 -0.2135 -0.1041 0.0488 1881 0.1994 -0.1032 -0.0778 -0.2282 -0.0454 -0.2167 0.0461 1882 0.0507 -0.0795 0.0122 -0.0744 0.2601 0.0188 -0.1271 1883 0.2637 -0.0059 -0.0841 -0.1236 -0.2044 0.1121 -0.0651 1884 -0.0279 -0.284 -0.5633 -0.4062 0.0214 0.1943 0.1465 1885 0.2453 0.0068 0.0661 -0.1238 0.0361 0.0519 0.4082 1886 0.2442 0.3441 0.1857 0.0871 -0.1614 0.1564 -0.0475 1887 0.1237 -0.0835 -0.475 -0.306 0.1498 -0.0143 -0.1247 1888 0.3213 0.0565 -0.0078 -0.1811 0.0549 0.083 0.2813 1889 0.533 -0.0076 -0.5368 0.1498 0.0864 0.0958 0.1248 1890 0.3458 -0.1766 -0.4549 -0.1191 0.1282 -0.1134 0.3616 1891 0.0072 -0.0004 -0.1425 -0.3201 0.444 -0.3149 -0.0351 1892 0.0485 -0.2639 0.0147 -0.0814 0.4564 0.0601 0.0018 1893 0.1805 -0.1945 0.2399 0.0315 0.0632 0.0895 -0.0625 1894 0.2585 -0.1087 -0.4614 -0.2696 0.1223 -0.181 0.1663 1895 -0.2037 -0.1131 0.1444 -0.3222 0.0116 -0.1255 -0.0951 1896 0.2742 0.0656 -0.3174 0.1426 -0.0278 0.1673 -0.1248 1897 0.0983 -0.4388 -0.0655 -0.1792 -0.3309 0.0478 -0.0571 1898 0.1019 -0.1663 -0.0212 -0.2709 0.0639 0.0862 -0.2057 1899 0.0489 0.2217 0.2215 -0.0401 0.1234 0.0274 -0.1782 1900 -0.2472 0.1563 0.0695 0.0248 0.3052 -0.0864 0.0421 1901 0.1953 -0.2698 -0.0557 -0.1751 0.1255 -0.1164 -0.0261 1902 -0.1666 -0.0859 -0.1503 0.2662 -0.1395 -0.0266 0.1944 1903 0.2948 -0.3983 -0.0201 -0.3048 -0.0642 -0.2437 0.1029 1904 0.1863 0.1397 -0.0401 -0.1681 0.055 -0.2223 -0.1398 1905 0.1097 -0.0156 -0.0886 -0.2856 0.0397 0.1997 -0.0813 1906 0.1995 -0.1651 0.0181 -0.2681 -0.0229 0.2217 0.2657 1907 -0.0161 -0.4473 -0.2833 0.1791 0.001 -0.0022 0.1176 1908 0.1411 0.0528 -0.2306 -0.1185 0.1958 0.0082 -0.173 1909 0.2248 -0.1345 -0.1384 -0.2911 -0.0309 0.351 -0.0031 1910 0.1003 -0.026 0.3204 -0.0547 0.1496 0.2453 -0.2819 1911 0.3856 -0.0402 -0.3545 0.0137 0.5827 -0.0345 -0.0313 1912 0.1095 0.0757 -0.0343 0.0522 0.2705 -0.0548 -0.0545 1913 0.0292 0.0305 0.0287 -0.4306 0.0276 -0.1262 0.0375 1914 0.1351 -0.1577 0.2119 -0.522 0.3113 -0.2375 -0.1449 1915 0.418 -0.0641 0.0976 -0.1248 -0.0967 0.171 -0.3245 1916 -0.1806 0.1829 -0.0175 -0.1394 0.1252 -0.3334 0.0388 1917 0.1951 0.0006 0.1885 0.1022 0.1047 0.1996 -0.3791 1918 0.1869 -0.2233 -0.0713 -0.0877 0.1209 -0.2077 0.0267 1919 -0.1154 -0.162 -0.2249 -0.0768 0.2506 -0.1133 0.2032 1920 -0.0378 -0.1408 -0.0219 0.1536 0.0554 0.0148 0.0292 1921 0.2701 -0.0496 -0.1608 -0.085 0.2961 -0.02 0.0173 1922 0.174 0.1948 0.0999 0.0785 0.0973 0.1307 -0.1806 1923 0.2182 -0.0184 -0.0785 0.4016 0.1127 0.1582 0.0299 1924 0.2732 -0.0201 0.0209 -0.441 -0.0854 -0.3489 0.1036 1925 -0.1316 -0.2376 -0.2926 -0.2806 0.1746 -0.0732 -0.1343 1926 -0.0238 -0.1536 -0.0803 0.5913 0.2763 -0.2207 -0.1121 1927 -0.1793 0.3836 -0.1128 0.2469 -0.1333 0.2341 -0.0775 1928 -0.2965 -0.1922 -0.0763 -0.1146 0.3083 0.0504 0.3866 1929 -0.1988 -0.0482 -0.0459 0.2839 -0.2862 -0.0959 0.0626 1930 -0.0505 -0.2324 0.0193 -0.0031 0.1718 0.2399 0.1654 1931 0.4141 0.3928 -0.1796 0.471 -0.0227 -0.0965 -0.0074 1932 0.0721 -0.1719 0.1001 0.4257 0.1207 0.0001 -0.0327 1933 0.1858 0.0577 -0.3793 -0.2987 0.4431 -0.022 -0.1708 1934 -0.0516 -0.4174 -0.1092 -0.1545 -0.0601 -0.0546 0.0803 1935 0.1404 -0.051 0.2927 0.1522 -0.1259 0.1835 -0.1463 1936 -0.1639 0.3152 -0.0215 -0.1166 0.0645 0.3226 -0.0243 1937 0.2525 0.1559 -0.4319 -0.3283 -0.1309 -0.0594 0.1803 1938 0.2035 -0.3375 -0.1065 -0.1088 0.188 0.1783 0.006 1939 -0.0009 -0.0446 0.0174 -0.2247 0.3566 0.222 -0.3428 1940 -0.0245 0.0549 0.1797 -0.2174 -0.0131 -0.0303 -0.2804 1941 -0.121 -0.3766 0.2409 0.157 0.0668 -0.1238 -0.2179 1942 -0.131 0.3354 -0.1135 -0.0731 0.2843 0.1786 0.0515 1943 0.1457 0.0233 -0.1356 -0.1318 -0.0472 -0.0844 -0.0615 1944 -0.1324 0.1361 -0.1664 0.0041 -0.2341 0.0507 -0.0197 1945 -0.0433 -0.4021 0.2002 0.1331 -0.0439 -0.2766 -0.2099 1946 0.131 0.2737 -0.152 -0.2257 0.4791 0.4885 0.2212 1947 0.2204 -0.2202 0.0305 -0.1181 0.0818 0.1566 -0.154 1948 0.3309 -0.1019 -0.3161 -0.0286 0.1328 -0.3107 -0.0636 1949 0.4804 0.2941 0.2463 0.3301 -0.0698 0.1958 -0.3104 1950 0.1352 0.1398 0.1417 -0.0868 0.4457 -0.3306 -0.0404 1951 -0.0601 0.1961 0.0258 -0.4877 -0.0897 0.0795 0.1141 1952 0.2003 0.0534 -0.2252 -0.1744 0.0066 0.0265 -0.1682 1953 -0.0956 -0.2976 -0.0217 -0.05 0.3025 -0.0121 -0.2502 1954 0.4162 -0.1593 0.1593 -0.1569 0.6087 -0.0507 -0.4978 1955 0.0029 0.1431 0.0343 -0.0146 0.1378 0.0991 -0.2188 1956 0.303 -0.1583 -0.0817 -0.201 0.2892 -0.1254 -0.1732 1957 -0.0184 -0.2228 0.0531 0.526 0.332 0.1672 -0.1526 1958 0.0443 0.124 -0.3932 -0.2142 -0.1313 0.043 0.1934 1959 0.1545 -0.3155 0.0989 0.0334 0.0407 -0.0419 -0.0263 1960 -0.1596 -0.2015 -0.4824 -0.0457 -0.2277 -0.0694 -0.2336 1961 -0.0446 0.3402 -0.022 -0.1327 -0.0898 -0.1972 0.2945 1962 0.2127 0.1927 0.2588 0.2115 0.0959 -0.0151 0.0596 1963 -0.0691 0.4355 -0.2586 0.0235 0.3544 -0.0508 -0.3591 1964 0.309 -0.2851 0.1646 -0.0037 -0.2104 -0.0316 -0.2197 1965 -0.3378 -0.0623 -0.245 -0.3342 -0.0803 -0.18 0.0808 1966 -0.2743 -0.1914 0.0335 0.1894 -0.2784 0.1486 0.1077 1967 0.008 0.019 -0.1155 0.1297 -0.0983 0.1664 0.296 1968 -0.0315 0.1685 0.0565 -0.0219 0.2727 0.193 0.0633 1969 0.0992 -0.138 -0.2899 -0.3107 0.127 -0.3696 0.3406 1970 0.2202 -0.2089 0.3597 -0.2168 -0.0559 -0.167 0.086 1971 -0.0671 -0.1294 0.0192 0.3553 0.091 -0.117 -0.0158 1972 -0.4384 -0.1251 0.0342 -0.0454 0.1481 -0.1154 -0.0629 1973 0.4877 0.0062 0.1157 -0.1825 -0.3028 0.127 -0.2414 1974 0.0508 0.0134 -0.0501 -0.0972 -0.2056 0.2333 0.3167 1975 0.1229 -0.2929 -0.3835 -0.139 0.0598 -0.0822 -0.2241 1976 0.0162 0.1015 0.071 -0.1418 -0.1806 0.2445 -0.1352 1977 0.1424 0.0195 -0.0346 0.0739 0.0321 -0.0819 -0.1299 1978 -0.2052 -0.2503 0.3406 0.0298 -0.0559 0.0984 -0.0433 1979 -0.0403 0.2017 -0.1796 0.2712 0.1174 0.0687 -0.0044 1980 -0.0131 0.351 0.0007 -0.1514 0.2333 -0.054 -0.0552 1981 -0.1568 0.304 0.0054 0.3788 -0.058 -0.1009 0.0189 1982 -0.1326 -0.124 -0.2705 0.0991 0.1318 -0.1092 0.0378 1983 0.0334 -0.1369 0.1213 -0.2939 -0.1423 -0.1089 -0.0908 1984 0.122 -0.0379 -0.1334 -0.1019 0.0463 0.099 0.1269 1985 0.0594 -0.036 0.0133 -0.1235 0.0676 0.4226 -0.0949 1986 -0.0942 0.0025 -0.0669 0.2828 -0.0207 0.3036 0.3024 1987 -0.025 0.0876 0.1087 0.1333 0.0552 -0.0185 -0.1846 1988 0.0388 -0.0689 0.0879 -0.2112 0.2117 -0.1739 -0.0834 1989 -0.2709 -0.0865 0.3826 0.1175 -0.4127 -0.2547 0.0176 1990 0.0273 -0.0696 -0.1244 0.212 0.1473 0.123 -0.2038 1991 0.0001 -0.4326 -0.1843 0.0222 -0.1671 -0.3551 -0.0713 1992 -0.3004 -0.1895 -0.1088 0.0682 -0.2967 -0.0169 -0.3071 1993 0.2172 0.1522 0.1997 0.176 -0.1024 -0.3683 0.024 1994 0.2656 0.1588 -0.06 0.0439 -0.2192 0.1232 0.0469 1995 -0.0856 0.1315 -0.0588 -0.1145 -0.3846 0.1031 -0.1927 1996 0.257 -0.051 -0.2249 0.1755 -0.2036 0.1092 0.311 1997 -0.1811 -0.0951 -0.1833 0.1788 -0.1186 -0.1879 0.1455 1998 0.3496 0.0089 -0.1279 -0.2212 -0.2165 -0.0018 0.1841 1999 0.1888 0.0531 -0.0527 0.5536 0.1698 -0.0342 0.2429 2000 -0.095 0.2257 -0.1126 -0.0389 0.1927 -0.0547 -0.0678