Precipitation oxygen isoscape for mainland China from 1870 to 2017 generated based on data fusion and bias correction of iGCMs simulations

The dataset includes the stable oxygen isotope of precipitation for mainland China over the 1870-2017 period. The temporal and spatial resolutions are month and 50-60 km for the isoscape, respectively. Since the observation is limited and climate model simulations have various time periods, the long time period was constructed by using various methods and datasets. (1) For the 1979-2001 period, eight simulations from five iGCMs (CAM2, GISS E, HadAM3, LMDZ4, and MIROC32) were fused with observations by using CNN fusion method. (2) For the 2002-2007 period, six simulations from three iGCMs (GISS E, LMDZ4, and MIROC32) were fused by using CNN fusion method. (3) For the 1969-1978 period, four simulations from three iGCMs (CAM2, GISS E, and HadAM3) were fused by using CNN fusion method. (4) For the 1958-1968 period, two iGCM simulations (CAM2 and HadAM3) were corrected by using two BCMs, and ensemble mean (mean of four simulations) was then calculated. (5) For the 1870-1957 and 2008-2017 periods, one iGCM simulation (HadAM3 for 1870-1957 and LMDZ4 zoomed for 2008-2017) was corrected by using two BCMs, and ensemble mean (mean of two simulations) was then calculated. When using this dataset, it should be noted that that δ¹⁸O_p for the 1979-2007 period generated using CNN fusion method may be more reliable, because the performance comparison for BCMs and DFMs show that CNN fusion method performed better than BCMs, and more iGCM simulations were used for data fusion in this period that other periods.