Watershed Hydrology under Comprehensive Changing Scenarios

Dear Colleagues,

Water fluxes and storages from local to global scales are driven by complex hydrological processes occurring near the surface and subsurface, and their interactions with rapidly changing human and natural systems. With competing demands for water (growing population, economic growth, and food security) and the expected changes in climate (increase in temperature and changes in precipitation patterns), assessing ecosystem impacts and consequently, the feedbacks in systemic responses are a challenging task. The digital revolution that occurred in the last quarter of the 20th century provided scientists with efficient computational capacities resulting in more reliable, precise, and innovative techniques to observe, catalog, and disseminate the dynamics occurring in our surroundings. Enormous efforts have been placed to assimilate this knowledge in seamlessly integrated models (hydrologic, crop, social and economic, etc.). However, most hydrologic models lack the capabilities to incorporate the dynamic interactions between the complex natural (soil, geomorphology, vegetation, atmosphere, etc.) and human (economics, crop management, irrigation, tradition, etc.) systems in predicting changing scenarios. It is hoped that a systemic assessment based on comprehensive process-oriented models and the use of rich data can better account for the uncertainty derived from future scenarios and the changing human and natural systems.

This special issue is aimed to collate innovative approaches to modeling the impacts of natural and anthropogenic changes on the systemic responses of a hydrologic system. The modeling framework should include a seamless model integration to simulate or assess the hydrologic system, the environmental stressors (e.g., climate change, land use changes), and system responses under changing scenarios. Approaches that include impacts from several assessment endpoints (water, sediments, pesticides, soil health, biodiversity, production, etc.) are encouraged.

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• Model integration
• Distributed hydrologic modeling
• Climate variability and change
• Land use change
• Water use competition
• Remote sensing