Watersheds play a critical role in supplying water resources needed for human use and ecosystem health. Understanding and predicting how, when, and where changes in the quantity and quality of water resources occur under different environmental stresses including extreme events is crucial for sustainable management of water resources under a changing environment. Both process-based and data-driven approaches have emerged to represent the coupled hydrologic and biogeochemical cycling in integrated watershed systems including river corridor processes. We invite contributions that advance our process understanding of hydrologic and nutrient cycling in watersheds and river corridors, including (a) process-based numerical models, (b) data-driven methods based on machine learning, (c) bridging scales from reaction mechanisms to emergent watershed- and basin-scale system responses, (d) monitoring networks and field characterization to improve hydrobiogeochemical models, (e) methods to integrate observations and models to reduce predictive uncertainty.

• AMS: American Meteorological Society -
• CGU: Canadian Geophysical Union -
• EGU: European Geosciences Union -
• GSA: Geological Society of America -