Lorne Leonard

发表

Essential Terrestrial Variable data workflows for distributed water resources modeling

Christopher J. Duffy, Lorne Leonard, C. Duffy, 2013, Environ. Model. Softw..

Tools for Virtual Collaboration Designed for High Resolution Hydrologic Research with Continental-Scale Data Support

Yolanda Gil, Christopher J. Duffy, Xuan Yu, 2015 .

Development of a participatory Green Infrastructure design, visualization and evaluation system in a cloud supported jupyter notebook computing environment

Anthony M. Castronova, Barbara S. Minsker, Lawrence E. Band, 2019, Environ. Model. Softw..

Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory

Yolanda Gil, Christopher J. Duffy, Xuan Yu, 2016, IEEE Systems Journal.

Automating Data-Model Workflows at a Level-12 HUC Scale in a Distributed Computing Environment

Christopher J. Duffy, Lorne Leonard, 2014 .

Using machine learning models to predict and choose meshes reordered by graph algorithms to improve execution times for hydrological modeling

Lorne Leonard, 2019, Environ. Model. Softw..

Tuning Heterogeneous Computing Platforms for Large-Scale Hydrology Data Management

Christopher J. Duffy, Kamesh Madduri, Lorne Leonard, 2016, IEEE Transactions on Parallel and Distributed Systems.

Multilevel mesh workflows towards CONUS scale watersheds: How small should triangles be to capture stream curvature for hydrological modeling?

Lorne Leonard, 2019, Environ. Model. Softw..

Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment

Christopher J. Duffy, Lorne Leonard, C. Duffy, 2014, Environ. Model. Softw..

Graph-based visual analysis for large-scale hydrological modeling

Alan M. MacEachren, Kamesh Madduri, Lorne Leonard, 2017, Inf. Vis..

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

Christopher J. Duffy, Lorne Leonard, 2016, Environ. Model. Softw..

Web Applications that Share Level-12 HUC Data and Models of the CONUS

Christopher J. Duffy, Lorne Leonard, 2014 .

HydroTerre Strahler Network Service For Any Level 12 HUC Catchment In The USA.

Chris Duffy, Lorne Leonard, C. Duffy, 2014 .

EAKOS: VAST 2009

Lorne Leonard, 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.

Watershed Reanalysis: Towards a National Strategy for Model-Data Integration

C. Lee Giles, Christopher J. Duffy, Xuan Yu, 2011, 2011 IEEE Seventh International Conference on e-Science Workshops.

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making

Suzanne A. Pierce, Yolanda Gil, Craig A. Knoblock, 2021, ACM Trans. Interact. Intell. Syst..

HydroTerre: Towards an expert system for scaling hydrological data and models from hill-slopes to major-river basins

Lorne Leonard, 2015 .