Planetary Boundary Layer Height Prediction over Karst Plateau: A Study Integrating Multi-Source Remote Sensing and Machine Learning
The results demonstrate that locally observation-driven machine learning can serve as a viable supplement or alternative to global reanalysis for boundary layer height estimation over complex karst terrain and they quantify the specific value that vertical profiling observations add relative to surface measurements alo...