N. Rudko

MUSTANG: Multi-Variable Spatio-Temporal Meta-Learning for Water Data Imputation

River monitoring stations record multiple hydro-environmental variables over a common river-network topology. While their sampling frequencies and temporal dynamics differ substantially, shared riverine drivers imply that densely observed hydrological variables can inform sparsely sampled water-quality targets; the pra...