Location: Water Management and Systems ResearchTitle: The Agricultural Ecosystems Services (AgES) watershed model integrated into the environmental Resources Assessment and Management System (eRAMS) as a service
|LIGHTHART, NATHAN - Colorado State University|
|DAVID, OLAF - Colorado State University|
|PATTERSON, DAVID - Colorado State University|
|KIPKA, HOLM - Colorado State University|
Submitted to: Meeting Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 3/5/2018
Publication Date: 6/24/2018
Citation: Lighthart, N.P., David, O., Green, T.R., Mcmaster, G.S., Patterson, D., Kipka, H. 2018. The Agricultural Ecosystems Services (AgES) watershed model integrated into the environmental Resources Assessment and Management System (eRAMS) as a service. Meeting Proceedings. 9th International Congress on Environmental Modelling and Software.
Interpretive Summary: N/A
Technical Abstract: Distribution of models to various users is error prone, and may negatively reflect on the program before it is even tested. The process typically involves users downloading and installing the model following setup instructions. However, if this step is not handled correctly, the model is not able to be used correctly. Deploying a model through a web interface allows the user to focus on running the model and not making sure the model is setup correctly. The eRAMS platform is designed to provide tools for models to be run using a remote web service. This is known as Model as a Service (MaaS). By using MaaS, the model and the user’s data are accessible from any device. Models can take a long time to run, especially if calibrating. By executing the model remotely in asynchronous mode, the user is able shutdown their local machine without terminating the model run. Integration of the AgES watershed model into the second revision of the eRAMS platform will be described and demonstrated. Thus, the AgES watershed model is publicly available as a MaaS, which will be linked with other services in eRAMS, including watershed delineation into interconnected polygons or hydrological response units (HRUs) and automated generation of crop rotations and tillage operations in each HRU using LAMPS (Landuse and Agricultural Management Practices web-Service).