青藏高原地区葵花8号静止气象卫星逐小时晴空大气水汽总量数据集（2016-2022）

本数据集提供了2016年至2022年青藏高原地区逐小时、空间分辨率为0.02°的大气水汽总量数据（PWV）；该数据由Himawari-8卫星亮温数据、GFS PWV 预报场数据和其他辅助数据（卫星观测角、海拔、经纬度等数据）基于构建的神经网络算法反演得到；该水汽反演算法适用于青藏高原低水汽下的情况，算法提供了青藏高原地区较高精度的水汽反演结果。目前Himawari-8卫星暂未发布 PWV 业务化产品，基于该静止卫星高时间、空间、光谱分辨率的优势，反演了青藏高原地区PWV产品，为青藏高原高精度水汽探测研究提供了数据参考。

This dataset provides hourly atmospheric precipitable water vapor (PWV) data with a spatial resolution of 0.02° over the Tibetan Plateau from 2016 to 2022. This dataset is derived via a developed neural network retrieval algorithm, using Himawari-8 satellite brightness temperature data, GFS PWV forecast field data, and other auxiliary datasets including satellite observation angles, elevation, latitude and longitude as inputs. This water vapor retrieval algorithm is tailored for low-water-vapor scenarios over the Tibetan Plateau, and yields high-precision PWV retrieval results for the region. Currently, the Himawari-8 satellite has not yet released official operational PWV products. Leveraging the high temporal, spatial and spectral resolution advantages of this geostationary satellite, PWV products over the Tibetan Plateau have been retrieved, providing data references for high-precision water vapor detection research on the plateau.