June 2026
-
Domínguez et al. (2026) Flood Detection Benchmark
This study benchmarks machine learning (ML) and agent-based implementations of flood detection mechanisms to identify the most efficient approach regarding cost, prediction time, and user outputs.
-
Zhang et al. (2026) Integrating Machine Learning with Adaptive Kalman Filtering to Downscale GFS Air Temperature Forecasts in Mountainous Areas
The study proposes a two-stage "DOWN + BC" framework using Random Forest and an Adaptive Kalman Filter to downscale and bias-correct GFS air temperature forecasts for high-resolution applications in mountainous terrain.
-
Qiao et al. (2026) Vegetation–Atmosphere Water Deficit as the Primary Control on Alpine Steppe and Forest Coverage: An Empirical Assessment from the Altay Mountains, Northwestern China
This study analyzes the drivers of vegetation coverage in the Chinese Altay Mountains from 2000 to 2024, concluding that water availability is the primary controlling factor.