Pypdd is a positive accumulated temperature glacier surface mass balance model that calculates glacier melting by accumulating temperature degrees above zero. Historical background : PyPDD was developed by the PyPDD team with the aim of providing a simple and effective positive accumulated temperature model to support glacier surface mass balance calculations. The development of this model responds to the demand for rapid assessment of large-scale glacier melting Technical features : • Using the positive accumulated temperature method to calculate glacier melting, with a simple structure and few parameters • Support rapid assessment of large-scale glacier mass balance • Analyze the impact of climate change on glacier melting • Estimate glacier runoff and water resources • Seamless integration with the Python scientific ecosystem • High computational efficiency, suitable for large-scale applications Core functions : • Calculation of glacier surface mass balance • Rapid assessment of large-scale glacier melting • Analysis of the impact of climate change on glacier melting • Glacier runoff and water resource estimation • Prediction of glacier mass balance under different climate scenarios Application case : • Global monitoring of glacier mass balance changes • Glacier melting prediction under different climate scenarios • Assessment of the contribution of glacier runoff to water resources • Sensitivity analysis of mountain glaciers to climate change • Glacier Change Prediction in Glacier Tourist Areas Limitations : • Simplified the process of glacier energy balance, which may affect accuracy • Depends on the quality and spatial distribution of temperature data • Unable to simulate the detailed physical processes inside glaciers • Limited ability to simulate responses to extreme climate events • Mainly applicable to seasonal snow accumulation and glacier surface processes Input parameters : • Temperature data (daily average temperature or monthly average temperature) • Precipitation data • Positive accumulated temperature factor (ablation coefficient) • Altitude gradient parameters • Simulate time steps and total duration Output result : • Glacier surface mass balance • Ablation volume and accumulation volume • Glacier runoff estimation • Prediction results under different climate scenarios