%0 Dataset
%T Precipitation forecast dataset based on the SSA-CNN-LSTM-MHA model for the upper reaches of the Danjiangkou Reservoir in the Han River basin from 2016 to 2024
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/174ead68-52b7-41db-9204-613d50af332d
%W NCDC
%R 10.12072/ncdc.reservoir.db7532.2026
%A Liu Yong
%K collective precipitation forecast
%X This dataset is a collective precipitation forecast product for the area above the Danjiangkou Reservoir in the Hanjiang River Basin from 2016 to 2024. It is constructed using a coupled deep learning model based on SSA-CNN-LSTM-MHA to achieve high-precision collective precipitation forecast. The data set contains complete multi-confidence precipitation forecast results, covering interval upper and lower limit forecast data with three typical confidence levels of 50%, 75%, and 90%, which can fully reflect the uncertainty range of precipitation forecast results. The data set includes interval upper and lower limit monthly scale forecast data (0.1°*0.1°) with three typical confidence levels of 50%, 75%, and 90%, all in tif format.