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United States Department of Agriculture

Agricultural Research Service

Research Project: Spatial Modeling of Agricultural Watersheds: Water and Nutrient Management and Targeted Conservation Effects at Field to Watershed Scales

Location: Agricultural Systems Research Unit

Title: Advances in distributed watershed modeling: a review and application of the AgroEcoSystem-Watershed (AgES-W) model

Authors
item Ascough, James
item Green, Timothy
item David, Olaf -
item Kipka, Holm -
item McMaster, Gregory
item Fink, Manfred -
item Krause, Peter -
item Kralisch, Sven -

Submitted to: Environmental Modeling International Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: June 14, 2014
Publication Date: June 21, 2014
Citation: Ascough II, J.C., Green, T.R., David, O., Kipka, H., Mcmaster, G.S., Fink, M., Krause, P., Kralisch, S. 2014. Advances in distributed watershed modeling: a review and application of the AgroEcoSystem-Watershed (AgES-W) model. Environmental Modeling International Conference Proceedings. Available: http://www.iemss.org/sites/iemss2014/papers/iemss2014_submission_351.pdf.

Interpretive Summary: This paper provides a review of current developments in distributed watershed modeling, including use of stochastic-based methods, influence of data resolution and scaling issues, and the use of environmental modeling frameworks that maintain modularity, reusability, and interoperability (or compatibility) of both customized science modules at different scales and auxiliary components for visualization, parameter estimation, and uncertainty analysis. Important findings and observed trends from this work include: 1) limitations in scale-up of hydrological/water quality processes for watershed modeling; 2) the impacts of data provisioning (availability and resolution) on watershed modeling capabilities, and 3) recommendations concerning the employment of a more holistic component-based modeling approach that is capable of examining individual processes and systems and the interconnection between them. In addition, an application of the AgroEcoSystem-Watershed (AgES-W) modular, Java-based spatially distributed model to the Walnut Creek and South Fork watersheds in Iowa, USA is presented to demonstrate many of the advances described above that are currently available for watershed management at multiple scales. Model evaluations will include statistical comparisons of AgES-W simulated flows and N concentrations/loads with monitoring data from outlets of the experimental Iowa watersheds.

Technical Abstract: Progress in the understanding of physical, chemical, and biological processes influencing water quality, coupled with advancements in the collection and analysis of hydrologic data, provide opportunities for significant innovations in the manner and level with which watershed-scale processes may be quantified and modeled. This paper provides a review of current developments in distributed watershed modeling, including use of stochastic-based methods, influence of data resolution and scaling issues, and the use of environmental modeling frameworks that maintain modularity, reusability, and interoperability (or compatibility) of both customized science modules at different scales and auxiliary components for visualization, parameter estimation, and uncertainty analysis. Important findings and observed trends from this work include: 1) limitations in scale-up of hydrological/water quality processes for watershed modeling; 2) the impacts of data provisioning (availability and resolution) on watershed modeling capabilities, and 3) recommendations concerning the employment of a more holistic component-based modeling approach that is capable of examining individual processes and systems and the interconnection between them. In addition, an application of the AgroEcoSystem-Watershed (AgES-W) modular, Java-based spatially distributed model to the Walnut Creek and South Fork watersheds in Iowa, USA is presented to demonstrate many of the advances described above that are currently available for watershed management at multiple scales. Model evaluations will include statistical comparisons of AgES-W simulated flows and N concentrations/loads with monitoring data from outlets of the experimental Iowa watersheds.

Last Modified: 9/20/2014
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