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Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment.

, and . Environ. Model. Softw., (2016)

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Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment., and . Environ. Model. Softw., (2014)Multilevel mesh workflows towards CONUS scale watersheds: How small should triangles be to capture stream curvature for hydrological modeling?. Environ. Model. Softw., (2019)Using machine learning models to predict and choose meshes reordered by graph algorithms to improve execution times for hydrological modeling.. Environ. Model. Softw., (2019)Watershed Reanalysis: Towards a National Strategy for Model-Data Integration., , , , and . e-Science Workshops, page 61-65. IEEE Computer Society, (2011)EAKOS: VAST 2009.. IEEE VAST, page 265-266. IEEE Computer Society, (2009)Essential Terrestrial Variable data workflows for distributed water resources modeling., and . Environ. Model. Softw., (2013)Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory., , , , , and . IEEE Syst. J., 10 (3): 1239-1250 (2016)Development of a participatory Green Infrastructure design, visualization and evaluation system in a cloud supported jupyter notebook computing environment., , , , , , , , and . Environ. Model. Softw., (2019)Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment., and . Environ. Model. Softw., (2016)Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making., , , , , , , , , and 25 other author(s). ACM Trans. Interact. Intell. Syst., 11 (2): 11:1-11:49 (2021)