# China 1000 Year Multiproxy Temperature Reconstructions #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference when using these data, # plus the Online Resource and date accessed. # # Online_Resource: http://hurricane.ncdc.noaa.gov/pls/paleox/f?p=519:1:::::P1_STUDY_ID:14171 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/shi2012b/shi2012china.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions #-------------------- # Contribution_Date # Date: (required) 2013-03-28 #-------------------- # Title # Study_Name: China 1000 Year Multiproxy Temperature Reconstructions #-------------------- # Investigators # Investigators: Shi, F.; Yang, B.; Von Gunten, L. #-------------------- # Description_and_Notes # Description: Surface temperature reconstructions for China, by both composite plus scale (CPS) # and Regularized errors-in-variables (EIV) methods. The reconstruction method is a modified form of # the point-by-point regression (PPR) approach, using a small search radius restricted to only one 5x5 # degree grid square. Data are reported as temperature anomalies with respect to AD 1961-1990, in degrees C. # Eastern and Western China region EIV reconstructions (divided along 105E Longitude) are also presented. # #-------------------- # Publication # Authors: SHI Feng, YANG Bao, and Lucien Von GUNTEN # Published_Date_or_Year: 2012-12-01 # Published_Title: Preliminary multiproxy surface air temperature field reconstruction for China over the past millennium # Journal_Name: Science China Earth Sciences # Volume: 55 # Issue: 12 # Pages: 2058-2067 # DOI: 10.1007/s11430-012-4374-7 # Abstract: We present the first millennial-length gridded field reconstruction of annual temperature for China, and analyze the reconstruction for spatiotemporal changes and associated uncertainties, based on a network of 415 well-distributed and accurately dated climatic proxy series. The new reconstruction method is a modified form of the point-by-point regression (PPR) approach. The main difference is the incorporation of the "composite plus scale" (CPS) and "Regularized errors-in-variables" (EIV) algorithms to allow for the assimilation of various types of the proxy data. Furthermore, the search radius is restricted to a grid size; this restriction helps effectively exclude proxy data possibly correlated with temperature but belonging to a different climate region. The results indicate that: 1) the past temperature record in China is spatially heterogenic, with variable correlations between cells in time; 2) the late 20th century warming in China probably exceeds mean temperature levels at any period of the past 1000 years, but the temperature anomalies of some grids in eastern China during the Medieval climate anomaly period are warmer than during the modern warming; 3) the climatic variability in the eastern and western regions of China was not synchronous during much of the last millennium, probably due to the influence of the Tibetan Plateau. Our temperature reconstruction may serve as a reference to test simulation results over the past millennium, and help to finely analyze the spatial characteristics and the driving mechanism of the past temperature variability. However, the lower reconstruction skill scores for some grid points underline that the present set of available proxy data series is not yet sufficient to accurately reconstruct the heterogeneous climate of China in all regions, and that there is the need for more highly resolved temperature proxies, particularly in the Tibetan Plateau. #------------------ # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences Strategic Priority Research Program # Grant: XDA05080801 #------------------ # Funding_Agency # Funding_Agency_Name: National Basic Research Program of China # Grant: 2010CB950104 #------------------ # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences 100 Talents Project # Grant: 29082762 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 40871091 #------------------ # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences West Light Program for Talent Cultivation # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: China Meteorological Administration Drought Research Fund # Grant: IAM201213, IAM201109 #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: PBBEP2-126056 #------------------ # Site_Information # Site_Name: China # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 45.0 # Southernmost_Latitude: 25.0 # Easternmost_Longitude: 125.0 # Westernmost_Longitude: 70.0 # Elevation: m #------------------ # Data_Collection # Collection_Name: Shi2012China # Earliest_Year: 1000 # Most_Recent_Year: 1996 # Time_Unit: AD # Core_Length: m # Notes: #------------------ # Chronology: # # # #---------------- # Variables # # Data variables follow (have no #) # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## age_AD Age, , , years AD, , , , ,N ## tempanom-ann surface temperature anomaly Annual, , , deg C, Annual, , , CPS, N ## tempanom-ann surface temperature anomaly Annual, , , deg C, Annual, , , EIV, N ## tempanom-ann-err- surface temperature anomaly Annual error-, , , deg C, Annual, , , EIV, N ## tempanom-ann-err+ surface temperature anomaly Annual error+, , , deg C, Annual, , , EIV, N #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: age_AD tempanom-ann tempanom-ann tempanom-ann-err- tempanom-ann-err+ 1000 -0.239 -0.274 -0.074 -0.474 1001 -0.249 -0.269 -0.069 -0.469 1002 -0.260 -0.262 -0.062 -0.462 1003 -0.271 -0.254 -0.054 -0.454 1004 -0.282 -0.246 -0.046 -0.446 1005 -0.292 -0.237 -0.037 -0.437 1006 -0.302 -0.228 -0.028 -0.428 1007 -0.310 -0.222 -0.022 -0.422 1008 -0.316 -0.220 -0.020 -0.420 1009 -0.320 -0.226 -0.026 -0.426 1010 -0.324 -0.239 -0.039 -0.439 1011 -0.325 -0.260 -0.060 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-0.247 -0.299 -0.099 -0.499 1841 -0.241 -0.284 -0.084 -0.484 1842 -0.237 -0.273 -0.073 -0.473 1843 -0.234 -0.267 -0.067 -0.467 1844 -0.232 -0.270 -0.070 -0.470 1845 -0.233 -0.279 -0.079 -0.479 1846 -0.237 -0.294 -0.094 -0.494 1847 -0.244 -0.312 -0.112 -0.512 1848 -0.253 -0.326 -0.126 -0.526 1849 -0.263 -0.331 -0.131 -0.531 1850 -0.273 -0.327 -0.127 -0.527 1851 -0.282 -0.316 -0.116 -0.516 1852 -0.290 -0.306 -0.106 -0.506 1853 -0.298 -0.298 -0.098 -0.498 1854 -0.305 -0.294 -0.094 -0.494 1855 -0.313 -0.294 -0.094 -0.494 1856 -0.323 -0.301 -0.101 -0.501 1857 -0.335 -0.313 -0.113 -0.513 1858 -0.348 -0.329 -0.129 -0.529 1859 -0.361 -0.346 -0.146 -0.546 1860 -0.372 -0.361 -0.161 -0.561 1861 -0.383 -0.372 -0.172 -0.572 1862 -0.392 -0.375 -0.175 -0.575 1863 -0.401 -0.372 -0.172 -0.572 1864 -0.409 -0.365 -0.165 -0.565 1865 -0.417 -0.354 -0.154 -0.554 1866 -0.423 -0.341 -0.141 -0.541 1867 -0.428 -0.330 -0.130 -0.530 1868 -0.430 -0.319 -0.119 -0.519 1869 -0.429 -0.305 -0.105 -0.505 1870 -0.426 -0.290 -0.090 -0.490 1871 -0.424 -0.277 -0.077 -0.477 1872 -0.423 -0.267 -0.067 -0.467 1873 -0.426 -0.259 -0.059 -0.459 1874 -0.431 -0.253 -0.053 -0.453 1875 -0.440 -0.253 -0.053 -0.453 1876 -0.450 -0.262 -0.062 -0.462 1877 -0.458 -0.278 -0.078 -0.478 1878 -0.461 -0.293 -0.093 -0.493 1879 -0.460 -0.299 -0.099 -0.499 1880 -0.453 -0.301 -0.101 -0.501 1881 -0.443 -0.311 -0.111 -0.511 1882 -0.430 -0.328 -0.128 -0.528 1883 -0.415 -0.342 -0.142 -0.542 1884 -0.401 -0.343 -0.143 -0.543 1885 -0.389 -0.331 -0.131 -0.531 1886 -0.380 -0.313 -0.113 -0.513 1887 -0.372 -0.299 -0.099 -0.499 1888 -0.364 -0.292 -0.092 -0.492 1889 -0.355 -0.287 -0.087 -0.487 1890 -0.342 -0.275 -0.075 -0.475 1891 -0.325 -0.256 -0.056 -0.456 1892 -0.303 -0.233 -0.033 -0.433 1893 -0.280 -0.209 -0.009 -0.409 1894 -0.256 -0.185 0.015 -0.385 1895 -0.231 -0.162 0.038 -0.362 1896 -0.207 -0.143 0.057 -0.343 1897 -0.183 -0.129 0.071 -0.329 1898 -0.159 -0.122 0.078 -0.322 1899 -0.138 -0.123 0.077 -0.323 1900 -0.120 -0.131 0.069 -0.331 1901 -0.106 -0.145 0.055 -0.345 1902 -0.097 -0.164 0.036 -0.364 1903 -0.095 -0.188 0.012 -0.388 1904 -0.099 -0.214 -0.014 -0.414 1905 -0.108 -0.242 -0.042 -0.442 1906 -0.120 -0.268 -0.068 -0.468 1907 -0.135 -0.292 -0.092 -0.492 1908 -0.148 -0.310 -0.110 -0.510 1909 -0.159 -0.321 -0.121 -0.521 1910 -0.166 -0.326 -0.126 -0.526 1911 -0.171 -0.324 -0.124 -0.524 1912 -0.174 -0.313 -0.113 -0.513 1913 -0.176 -0.295 -0.095 -0.495 1914 -0.177 -0.269 -0.069 -0.469 1915 -0.180 -0.239 -0.039 -0.439 1916 -0.183 -0.205 -0.005 -0.405 1917 -0.186 -0.169 0.031 -0.369 1918 -0.189 -0.133 0.067 -0.333 1919 -0.193 -0.099 0.101 -0.299 1920 -0.199 -0.070 0.130 -0.270 1921 -0.203 -0.046 0.154 -0.246 1922 -0.204 -0.027 0.173 -0.227 1923 -0.201 -0.015 0.185 -0.215 1924 -0.192 -0.008 0.192 -0.208 1925 -0.176 -0.007 0.193 -0.207 1926 -0.153 -0.009 0.191 -0.209 1927 -0.124 -0.014 0.186 -0.214 1928 -0.094 -0.021 0.179 -0.221 1929 -0.065 -0.027 0.173 -0.227 1930 -0.039 -0.030 0.170 -0.230 1931 -0.019 -0.029 0.171 -0.229 1932 -0.006 -0.024 0.176 -0.224 1933 0.002 -0.012 0.188 -0.212 1934 0.006 0.004 0.204 -0.196 1935 0.007 0.025 0.225 -0.175 1936 0.005 0.048 0.248 -0.152 1937 0.003 0.074 0.274 -0.126 1938 0.001 0.102 0.302 -0.098 1939 0.002 0.127 0.327 -0.073 1940 0.004 0.147 0.347 -0.053 1941 0.008 0.160 0.360 -0.040 1942 0.014 0.168 0.368 -0.033 1943 0.021 0.168 0.368 -0.032 1944 0.029 0.161 0.361 -0.039 1945 0.037 0.147 0.347 -0.053 1946 0.044 0.125 0.325 -0.075 1947 0.048 0.098 0.298 -0.102 1948 0.047 0.066 0.266 -0.134 1949 0.039 0.034 0.234 -0.166 1950 0.025 0.002 0.202 -0.198 1951 -0.027 1952 -0.055 1953 -0.079 1954 -0.098 1955 -0.111 1956 -0.118 1957 -0.122 1958 -0.123 1959 -0.123 1960 -0.122 1961 -0.120 1962 -0.119 1963 -0.118 1964 -0.120 1965 -0.122 1966 -0.125 1967 -0.128 1968 -0.130 1969 -0.130 1970 -0.127 1971 -0.121 1972 -0.113 1973 -0.101 1974 -0.086 1975 -0.069 1976 -0.049 1977 -0.028 1978 -0.007 1979 0.013 1980 0.032 1981 0.051 1982 0.069 1983 0.087 1984 0.105 1985 0.125 1986 0.148 1987 0.173 1988 0.202 1989 0.235 1990 0.275 1991 0.320 1992 0.370 1993 0.423 1994 0.478 1995 0.536 1996 0.597