Hydrometeorological predictors and landslide surface velocity datasets (Séchilienne, Viella, Villerville)
This dataset provides the tabulated time series used by the developed eXplainable Artificial Intelligence (XAI) framework to simulate daily slow-moving landslide surface velocities from environmental predictors at three sites: Séchilienne (western French Alps), Viella (central French Pyrenees) and Villerville (French Normandy coast). Velocity observations are collected from diplacement monitoring networks (tacheometric targets, GNSS and extensometers), and are paired with daily environmental records from representative meteorological and groundwater level monitoring stations. Hydrometeorological predictors are computed from three forcing series: net Rainfall (R), Effective Rainfall (ER) and GroundWater Level (GWL). Predictors are designed to represent water-related forcings (hydrological state, hydrological memory effects, and short-term hydrological transient process) over multiple time windows. Each predictor is named using a consistent convention that encodes its data source, the descriptor type and the associated time window.
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