# 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/fig5md.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 multidecadal component ## precipWC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Western China precipitation multidecadal component ## precipEC precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, Eastern China precipitation multidecadal 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 0.0112 -0.0056 0.0514 1471 0.0114 -0.0058 0.0476 1472 0.0114 -0.0061 0.0440 1473 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0.0038 0.0325 1834 0.0268 0.0088 0.0364 1835 0.0322 0.0137 0.0400 1836 0.0372 0.0183 0.0432 1837 0.0417 0.0226 0.0461 1838 0.0456 0.0265 0.0485 1839 0.0489 0.0299 0.0505 1840 0.0516 0.0327 0.0519 1841 0.0536 0.0350 0.0528 1842 0.0549 0.0366 0.0531 1843 0.0555 0.0376 0.0528 1844 0.0554 0.0381 0.0519 1845 0.0546 0.0380 0.0503 1846 0.0531 0.0374 0.0479 1847 0.0507 0.0363 0.0448 1848 0.0476 0.0347 0.0410 1849 0.0438 0.0327 0.0365 1850 0.0393 0.0303 0.0315 1851 0.0342 0.0276 0.0261 1852 0.0286 0.0245 0.0203 1853 0.0225 0.0211 0.0143 1854 0.0161 0.0175 0.0082 1855 0.0095 0.0137 0.0021 1856 0.0027 0.0098 -0.0040 1857 -0.0041 0.0058 -0.0098 1858 -0.0110 0.0018 -0.0154 1859 -0.0177 -0.0021 -0.0206 1860 -0.0242 -0.0060 -0.0254 1861 -0.0304 -0.0098 -0.0296 1862 -0.0362 -0.0134 -0.0334 1863 -0.0414 -0.0168 -0.0366 1864 -0.0460 -0.0199 -0.0393 1865 -0.0499 -0.0227 -0.0414 1866 -0.0530 -0.0251 -0.0429 1867 -0.0553 -0.0272 -0.0439 1868 -0.0567 -0.0288 -0.0443 1869 -0.0572 -0.0300 -0.0442 1870 -0.0569 -0.0308 -0.0435 1871 -0.0559 -0.0311 -0.0425 1872 -0.0540 -0.0310 -0.0410 1873 -0.0515 -0.0304 -0.0392 1874 -0.0484 -0.0294 -0.0371 1875 -0.0446 -0.0280 -0.0348 1876 -0.0403 -0.0262 -0.0323 1877 -0.0355 -0.0241 -0.0296 1878 -0.0304 -0.0216 -0.0269 1879 -0.0250 -0.0188 -0.0242 1880 -0.0195 -0.0156 -0.0214 1881 -0.0138 -0.0122 -0.0186 1882 -0.0081 -0.0086 -0.0158 1883 -0.0024 -0.0047 -0.0130 1884 0.0031 -0.0007 -0.0103 1885 0.0084 0.0034 -0.0076 1886 0.0133 0.0076 -0.0049 1887 0.0179 0.0118 -0.0023 1888 0.0221 0.0159 0.0002 1889 0.0257 0.0199 0.0027 1890 0.0288 0.0237 0.0050 1891 0.0314 0.0273 0.0073 1892 0.0335 0.0306 0.0095 1893 0.0351 0.0336 0.0116 1894 0.0363 0.0361 0.0136 1895 0.0370 0.0383 0.0156 1896 0.0373 0.0400 0.0176 1897 0.0371 0.0412 0.0195 1898 0.0366 0.0419 0.0215 1899 0.0356 0.0420 0.0234 1900 0.0343 0.0416 0.0254 1901 0.0327 0.0405 0.0274 1902 0.0307 0.0388 0.0295 1903 0.0284 0.0365 0.0315 1904 0.0258 0.0334 0.0334 1905 0.0230 0.0298 0.0351 1906 0.0200 0.0256 0.0367 1907 0.0168 0.0210 0.0380 1908 0.0134 0.0161 0.0389 1909 0.0100 0.0109 0.0395 1910 0.0065 0.0056 0.0397 1911 0.0029 0.0002 0.0393 1912 -0.0006 -0.0051 0.0385 1913 -0.0041 -0.0103 0.0371 1914 -0.0075 -0.0152 0.0351 1915 -0.0108 -0.0198 0.0325 1916 -0.0139 -0.0239 0.0293 1917 -0.0168 -0.0275 0.0256 1918 -0.0196 -0.0306 0.0214 1919 -0.0220 -0.0331 0.0167 1920 -0.0243 -0.0350 0.0116 1921 -0.0262 -0.0362 0.0061 1922 -0.0278 -0.0367 0.0003 1923 -0.0291 -0.0365 -0.0059 1924 -0.0300 -0.0357 -0.0122 1925 -0.0306 -0.0341 -0.0187 1926 -0.0307 -0.0320 -0.0252 1927 -0.0305 -0.0293 -0.0316 1928 -0.0297 -0.0263 -0.0377 1929 -0.0285 -0.0229 -0.0433 1930 -0.0269 -0.0192 -0.0482 1931 -0.0247 -0.0154 -0.0524 1932 -0.0221 -0.0116 -0.0556 1933 -0.0191 -0.0077 -0.0577 1934 -0.0155 -0.0040 -0.0586 1935 -0.0117 -0.0003 -0.0584 1936 -0.0074 0.0031 -0.0570 1937 -0.0029 0.0062 -0.0545 1938 0.0018 0.0091 -0.0510 1939 0.0066 0.0116 -0.0464 1940 0.0114 0.0138 -0.0408 1941 0.0163 0.0155 -0.0343 1942 0.0210 0.0168 -0.0269 1943 0.0256 0.0177 -0.0189 1944 0.0299 0.0181 -0.0103 1945 0.0340 0.0180 -0.0014 1946 0.0377 0.0175 0.0077 1947 0.0409 0.0166 0.0168 1948 0.0437 0.0153 0.0257 1949 0.0459 0.0136 0.0342 1950 0.0474 0.0116 0.0422 1951 0.0483 0.0093 0.0495 1952 0.0485 0.0068 0.0559 1953 0.0479 0.0041 0.0614 1954 0.0467 0.0012 0.0658 1955 0.0448 -0.0018 0.0693 1956 0.0424 -0.0049 0.0718 1957 0.0394 -0.0079 0.0734 1958 0.0360 -0.0110 0.0740 1959 0.0322 -0.0140 0.0738 1960 0.0279 -0.0169 0.0728 1961 0.0234 -0.0196 0.0710 1962 0.0186 -0.0221 0.0684 1963 0.0136 -0.0245 0.0651 1964 0.0085 -0.0266 0.0611 1965 0.0032 -0.0285 0.0565 1966 -0.0021 -0.0302 0.0513 1967 -0.0074 -0.0317 0.0457 1968 -0.0127 -0.0330 0.0396 1969 -0.0179 -0.0341 0.0332 1970 -0.0229 -0.0349 0.0266 1971 -0.0279 -0.0356 0.0199 1972 -0.0326 -0.0361 0.0130 1973 -0.0371 -0.0363 0.0063 1974 -0.0413 -0.0364 -0.0004 1975 -0.0452 -0.0363 -0.0069 1976 -0.0488 -0.0359 -0.0131 1977 -0.0519 -0.0354 -0.0190 1978 -0.0547 -0.0347 -0.0247 1979 -0.0570 -0.0337 -0.0300 1980 -0.0588 -0.0326 -0.0349 1981 -0.0601 -0.0312 -0.0393 1982 -0.0609 -0.0297 -0.0433 1983 -0.0610 -0.0279 -0.0468 1984 -0.0606 -0.0260 -0.0498 1985 -0.0594 -0.0238 -0.0522 1986 -0.0576 -0.0215 -0.0540 1987 -0.0550 -0.0189 -0.0552 1988 -0.0516 -0.0161 -0.0557 1989 -0.0474 -0.0131 -0.0555 1990 -0.0424 -0.0098 -0.0546 1991 -0.0365 -0.0064 -0.0528 1992 -0.0296 -0.0027 -0.0503 1993 -0.0218 0.0012 -0.0469 1994 -0.0129 0.0053 -0.0426 1995 -0.0030 0.0097 -0.0374 1996 0.0080 0.0143 -0.0312 1997 0.0202 0.0191 -0.0241 1998 0.0335 0.0242 -0.0159 1999 0.0481 0.0295 -0.0066 2000 0.0639 0.0350 0.0037