%0 Dataset
%T Precipitation oxygen isoscape for mainland China from 1870 to 2017  generated based on data fusion and bias correction of iGCMs simulations
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/122c423d-30ce-43c4-8e28-26c3fa425f25
%W NCDC
%R 10.5281/zenodo.5703811
%A Chen Jie
%K IGCMs;simulated data;precipitation oxygen;contour maps
%X The data set includes stable oxygen isotopes of precipitation in Chinese Mainland from 1870 to 2017. The time and spatial resolutions are monthly and 50-60 kilometer contour lines, respectively. Due to limited observational data and different time periods in climate model simulations, multiple methods and datasets were used to construct a long-term dataset.  (1) During the period of 1979-2001, CNN fusion method was used to fuse eight simulation results of five iGCMs (CAM2, GISS E, HadAM3, LMDZ4, and MIROC32) with observation results.  (2) Between 2002 and 2007, six simulation results of three iGCMs (GISS E, LMDZ4, and MIROC32) were fused using CNN fusion method.  (3) For the period from 1969 to 1978, the CNN fusion method was used to fuse four simulations of three iGCMs (CAM2, GISS E, and HadAM3).  (4) For the period of 1958-1968, two BCM were used to calibrate two iGCM simulations (CAM2 and HadAM3), and then the ensemble average (the average of four simulations) was calculated.  (5) For the periods of 1870-1957 and 2008-2017, two BCMs were used to modify an iGCM simulation (HadAM3 for 1870-1957 and LMDZ4 amplification for 2008-2017), and then the ensemble average (the average of the two simulations) was calculated.  When using this dataset, it should be noted that the δ 18Op generated by CNN fusion method during the period of 1979-2007 may be more reliable, as the performance comparison between BCMs and DFMs shows that CNN fusion method performs better than BCMs, and the number of iGCM simulated data fusion used during this period is greater than other periods.