# 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/fig4sid.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 interdecadal component ## precipWC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Western China precipitation interdecadal component ## precipEC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Eastern China precipitation interdecadal 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 -0.0279 -0.1339 0.0345 1471 0.0119 -0.0400 0.0333 1472 0.0377 0.0267 0.0341 1473 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-0.0242 1874 -0.0925 -0.0679 -0.1292 1875 -0.1338 -0.0710 -0.2128 1876 -0.1517 -0.0704 -0.2552 1877 -0.1404 -0.0656 -0.2509 1878 -0.1068 -0.0573 -0.2084 1879 -0.0616 -0.0466 -0.1391 1880 -0.0161 -0.0357 -0.0544 1881 0.0186 -0.0267 0.0357 1882 0.0366 -0.0195 0.1216 1883 0.0464 -0.0135 0.1940 1884 0.0577 -0.0076 0.2491 1885 0.0745 -0.0007 0.2873 1886 0.0965 0.0075 0.3076 1887 0.1182 0.0154 0.3076 1888 0.1331 0.0210 0.2868 1889 0.1354 0.0220 0.2478 1890 0.1236 0.0168 0.1963 1891 0.1005 0.0058 0.1388 1892 0.0697 -0.0091 0.0821 1893 0.0350 -0.0246 0.0306 1894 -0.0004 -0.0375 -0.0153 1895 -0.0333 -0.0451 -0.0584 1896 -0.0619 -0.0449 -0.1034 1897 -0.0847 -0.0353 -0.1537 1898 -0.1001 -0.0154 -0.2090 1899 -0.1066 0.0151 -0.2595 1900 -0.1026 0.0525 -0.2932 1901 -0.0879 0.0904 -0.2982 1902 -0.0647 0.1219 -0.2701 1903 -0.0387 0.1385 -0.2206 1904 -0.0152 0.1332 -0.1660 1905 0.0019 0.1075 -0.1160 1906 0.0124 0.0687 -0.0749 1907 0.0193 0.0274 -0.0364 1908 0.0258 -0.0039 0.0069 1909 0.0329 -0.0192 0.0540 1910 0.0408 -0.0191 0.0995 1911 0.0493 -0.0111 0.1380 1912 0.0572 -0.0042 0.1657 1913 0.0638 -0.0058 0.1817 1914 0.0690 -0.0199 0.1875 1915 0.0730 -0.0444 0.1870 1916 0.0750 -0.0724 0.1828 1917 0.0737 -0.0946 0.1732 1918 0.0675 -0.1008 0.1544 1919 0.0557 -0.0846 0.1231 1920 0.0385 -0.0515 0.0783 1921 0.0170 -0.0108 0.0233 1922 -0.0078 0.0240 -0.0361 1923 -0.0350 0.0387 -0.0941 1924 -0.0624 0.0308 -0.1433 1925 -0.0859 0.0042 -0.1752 1926 -0.1007 -0.0293 -0.1813 1927 -0.1018 -0.0557 -0.1530 1928 -0.0860 -0.0634 -0.0866 1929 -0.0563 -0.0528 0.0020 1930 -0.0199 -0.0286 0.0858 1931 0.0130 0.0007 0.1358 1932 0.0339 0.0228 0.1316 1933 0.0411 0.0343 0.0885 1934 0.0363 0.0356 0.0338 1935 0.0256 0.0321 0.0024 1936 0.0101 0.0288 0.0058 1937 -0.0110 0.0254 0.0110 1938 -0.0374 0.0208 -0.0100 1939 -0.0671 0.0142 -0.0714 1940 -0.0927 0.0067 -0.1494 1941 -0.1072 -0.0004 -0.2096 1942 -0.1050 -0.0050 -0.2257 1943 -0.0833 -0.0040 -0.1899 1944 -0.0426 0.0044 -0.1061 1945 0.0078 0.0177 -0.0011 1946 0.0576 0.0328 0.0955 1947 0.0978 0.0465 0.1655 1948 0.1204 0.0563 0.1953 1949 0.1186 0.0596 0.1784 1950 0.0944 0.0547 0.1309 1951 0.0605 0.0423 0.0771 1952 0.0322 0.0268 0.0379 1953 0.0205 0.0136 0.0185 1954 0.0220 0.0063 0.0183 1955 0.0291 0.0025 0.0343 1956 0.0316 -0.0021 0.0576 1957 0.0220 -0.0142 0.0800 1958 0.0076 -0.0388 0.0962 1959 -0.0042 -0.0679 0.0977 1960 -0.0131 -0.0903 0.0773 1961 -0.0209 -0.0952 0.0361 1962 -0.0302 -0.0756 -0.0209 1963 -0.0439 -0.0406 -0.0876 1964 -0.0635 -0.0047 -0.1568 1965 -0.0858 0.0194 -0.2178 1966 -0.1059 0.0256 -0.2590 1967 -0.1189 0.0139 -0.2716 1968 -0.1212 -0.0039 -0.2581 1969 -0.1094 -0.0162 -0.2232 1970 -0.0795 -0.0170 -0.1691 1971 -0.0297 -0.0052 -0.0980 1972 0.0358 0.0161 -0.0148 1973 0.0996 0.0402 0.0647 1974 0.1410 0.0599 0.1141 1975 0.1434 0.0707 0.1063 1976 0.1047 0.0728 0.0364 1977 0.0480 0.0682 -0.0608 1978 -0.0028 0.0587 -0.1522 1979 -0.0368 0.0464 -0.2141 1980 -0.0489 0.0334 -0.2355 1981 -0.0435 0.0217 -0.2237 1982 -0.0286 0.0128 -0.1935 1983 -0.0130 0.0073 -0.1595 1984 -0.0036 0.0043 -0.1323 1985 -0.0029 0.0011 -0.1171 1986 -0.0094 -0.0049 -0.1113 1987 -0.0203 -0.0151 -0.1103 1988 -0.0326 -0.0294 -0.1080 1989 -0.0429 -0.0470 -0.0977 1990 -0.0481 -0.0650 -0.0750 1991 -0.0466 -0.0803 -0.0410 1992 -0.0383 -0.0906 0.0017 1993 -0.0252 -0.0945 0.0491 1994 -0.0090 -0.0904 0.0973 1995 0.0088 -0.0776 0.1428 1996 0.0277 -0.0565 0.1839 1997 0.0470 -0.0279 0.2192 1998 0.0662 0.0073 0.2473 1999 0.0850 0.0484 0.2668 2000 0.1027 0.0944 0.2763