Paper/Poster/Presentation Title
Keywords
Multiscale modelling, agricultural watersheds, process interactions, user-friendly tools, cloud computing
Start Date
15-9-2020 3:20 PM
End Date
15-9-2020 3:40 PM
Abstract
The Agricultural Ecosystems Services (AgES) distributed watershed model is being developed as a component-based model for continuous daily simulation. Current case studies use AgES to simulate space-time patterns of soil moisture and infrequent runoff events in a dryland field-scale watershed in northern Colorado, contributions of irrigated agriculture to a mixed-landuse watershed near metropolitan Denver, and tile drainage contributing to high nitrate loads in Iowa, USA. These watersheds (56 ha to 581 km2) provide comparative studies to address model complexity across various scales with different types and amounts of data. Key advances include enhanced process simulation (1) coupling plant uptake of water and nitrogen, including partitioning transpiration and canopy/soil evaporation, (2) coupled soil layer conductance and storage controls on infiltration, percolation and capillary rise, (3) interactions between lateral interflow, tile drainage and groundwater, (4) crop seedling emergence and phenological stages; model framework (5) Object Modeling System compliant code, (6) leveraging the Cloud Services Innovation Platform for deployment; integrated tools (7) online Catchment areas delineation, Cadel, (8) Landuse and Agricultural Management Practices web-Service, LAMPS, and cloud computing for broadly parallel (9) parameter sampling and uncertainty analysis, and (10) model calibration. Each AgES run employs limited parallelization on a single computer, depending upon the watershed topology, while sampling and calibration have potentially indefinite parallel computing over multiple (virtual) machines. Finally, (11) AgES includes input data checking with user-assisted adjustments and corrections to improve the user experience. These features will be demonstrated using the aforementioned case studies in Colorado and Iowa. Future work will allow for user-specified sub-daily simulation of hydrology and transport, testing of atmospheric CO2 effects on plant-water interactions, and new and/or improved plant modeling with subdaily meteorology and microclimate.
Advances in the Science and Technology of Simulating Water, Nutrient, Soil and Plant Interactions and Dynamics in Space and Time
The Agricultural Ecosystems Services (AgES) distributed watershed model is being developed as a component-based model for continuous daily simulation. Current case studies use AgES to simulate space-time patterns of soil moisture and infrequent runoff events in a dryland field-scale watershed in northern Colorado, contributions of irrigated agriculture to a mixed-landuse watershed near metropolitan Denver, and tile drainage contributing to high nitrate loads in Iowa, USA. These watersheds (56 ha to 581 km2) provide comparative studies to address model complexity across various scales with different types and amounts of data. Key advances include enhanced process simulation (1) coupling plant uptake of water and nitrogen, including partitioning transpiration and canopy/soil evaporation, (2) coupled soil layer conductance and storage controls on infiltration, percolation and capillary rise, (3) interactions between lateral interflow, tile drainage and groundwater, (4) crop seedling emergence and phenological stages; model framework (5) Object Modeling System compliant code, (6) leveraging the Cloud Services Innovation Platform for deployment; integrated tools (7) online Catchment areas delineation, Cadel, (8) Landuse and Agricultural Management Practices web-Service, LAMPS, and cloud computing for broadly parallel (9) parameter sampling and uncertainty analysis, and (10) model calibration. Each AgES run employs limited parallelization on a single computer, depending upon the watershed topology, while sampling and calibration have potentially indefinite parallel computing over multiple (virtual) machines. Finally, (11) AgES includes input data checking with user-assisted adjustments and corrections to improve the user experience. These features will be demonstrated using the aforementioned case studies in Colorado and Iowa. Future work will allow for user-specified sub-daily simulation of hydrology and transport, testing of atmospheric CO2 effects on plant-water interactions, and new and/or improved plant modeling with subdaily meteorology and microclimate.
Stream and Session
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