AHS DATASET

The atmospheric diabatic heating over the Tibetan Plateau(TP) acts as a pivotal heat engine driving the Asian summer monsoon. However, accurately quantifying this heating intensity across the entire plateau remains challenging. Discrete polar-orbiting snapshots inherently under-sample the diurnal heating cycle, causing severe temporal aliasing. Meanwhile, reanalysis products suffer from structural parameterization biases. These biases systematically distort sub-daily turbulent fluxes, ultimately masking the true thermodynamic hysteresis. To bridge this gap, we constructed a seamless, hourly Atmospheric Heat Source dataset for 2020 by integrating Fengyun-4A geostationary observations with a direct calculation method. Validation confirms that this dataset reliably captures these rapid thermal variations.