River Flooding, Tsunami and Groundwater Simulations

We’ve noticed a surge in interest in EnSight for visualizing flooding and other groundwater control simulations.

Yes, we do have translation routines for both River-FLO, FLO-2D, MIKE21_FM, and MIKE21_Classic formats. These translation routines to convert these formats into EnSight Case Format, which can then be read into and visualized with EnSight.

Summary of the different translation routines on our Python Exchange Website:

You can find details about the different translation routines, some examples of aerial photo application onto the model, special time annotations, as well as a video tutorial showing one of the translation routines in action, as well as some of the fundamental benefits of utilizing EnSight for visualization of these types of river & flood tools.

You can also find on our gallery website some of the animations and engineering quantification of River & Flood simulation results using EnSight:


River Flood simulation. Simulation courtesy of Wood Rodgers, using MIKE21 Classic. Dataset read into EnSight, and visualized using EnSight 10. Keyframe animations, aerial photo texture mapping, isovolume calculation, graphs of the area effected over time, max depth, as well as profiles through the simulation.


This short animation illustrates the power of EnSight’s interactivity. In this video, we have first created a clip through the flood as a “cross-section”. We then graphed the depth along this cross section in the plotter. Next, the interactivity of EnSight now allows the user to interactively drag the cross-section to anywhere they would like, and the plot automatically updates instantaneously. Simulation results courtesy of Wood Rodgers.


Animation of the river flood event in EnSight. In this animation, we have used EnSight’s 3D arrow along with the interactive query of the max depth to illustrate to the user the dynamic location of the maximum depth as time develops. Simulation results courtesy of Wood Rodgers


Are you involved with River and Flooding simulations? Are there specific aspects to the simulation that you are trying to capture and illustrate? We’d like to hear more about this type of work and see where EnSight can help you analyze, visualize, and communicate those results.

EnSight Speaker’s Bureau

Our customers are using EnSight to design future jet cars, make boats more maneuverable, make engines more efficient, and guide doctors in the understanding of blood flow.

So we’re begging you to consider registering as a potential user meeting speaker.  Just send us an email to marketing at ensight.com.  Emailing only expresses interest – not commitment.  We often have budget to help provide travel expenses.

Past presenters:

Darren Grove from Boeing spoke in Tokyo at our Japanese EnSight Forum on the work on the North American Eagle attempt to break the world record for fastest car in an all volunteer team.

Andrew Hobbs from Astec spoke at our Japan EnSight Forum in 2016 about using EnSight visualize Fluent-EDEM coupled simulations of road making material handling.

Satish Kumar from Wood Rodger spoke at our Japan EnSight forum in 2012 about using EnSight for flooding simulation visualization.


Would you like an expense-paid trip to Japan to show of your work with EnSight?


Prometheus Engineers Improved Fire

“Communicating the results of CFD analysis is critical to a successful project and our business.  It can be difficult to explain to someone not familiar with CFD what they are looking at.  The ease with which we can change views, compare different cases side-by-side, and create animations in EnSight allows us to provide the necessary perspective to our customers for a more successful presentation.  Furthermore, the ability to use macros to format the data is invaluable for reviewing results quickly and efficiently.  ”  Emmanuella Sotiropoulou, Vice President, Engineering Prometheus Applied Technologies, LLC. Solver used was Converge from Convergent Science Inc.

Comparing Vetter-Sturtevant Shocktube Experiments

The Vetter-Sturtevant shocktube experiments:
– Two gases, air and SF6, initially separated by a membrane inside a tube, are mixed by the passage of a strong shock through the interface between them.
– Used as a test of our continuous adaptive mesh refinement code RAGE.

How can you compare different 3D simulations of these experiments?

Use EnSight and Python to perform a dimensional reduction of the 3D simulation data:
-Use Python script with EnSight to place an integration plane at positions along the tube axis oriented perpendicular to the axis.
– At each position EnSight computes the mix parameter by integration over the plane and returns the result to Python.
– In this way a 1D plot of the mix parameter vs position is generated at each time.
– 3D mix is reduced to a plot of the1D mix parameter vs position that can be compared between simulations over time.
– EnSight is used to integrate the mix parameter along the axis and plot the result over time.
– Animate everything together on the same image to study the quantitative evolution of the shock induced mixing.

Simulation courtesy of F. Grinstein, LANL
1850×988, 12MB