The National Institute for Mathematical Sciences (NIMS) presents a very special NIMS-IMAGINARY exhibition in collaboration with the ICM committee and the Mathematisches Forschungsinstitut Oberwolfach (MFO). It will feature the best of all IMAGINARY modules of the last years and a lot of new software, images, films and sculptures. It will be the biggest IMAGINARY exhibition shown so far.
Dune Ash
program
Linux live-cd image with the installed 'dune-ash' simulation program,
alternative installation methods are availabel at
http://dune.mathematik.uni-freiburg.de/dune-ash/download.html
Licenses
Source code
Data
Credits
This application was developed mainly at the department of applied mathematics at the University of Freiburg. The first version was built in June/July 2011 for the Freiburg Science Fair. Between September and November of 2012 additional features were added for touchscreen support.
Website
Contributors
OrganisationProf. Dr. D. Kröner (AAM, University of Freiburg), OrganisationDr. M. Nolte (AAM, University of Freiburg), OrganisationTh. Strauch (AAM, University of Freiburg), OrganisationT. Malkmus (AAM, University of Freiburg)
ProgrammingDr. M. Nolte (AAM, University of Freiburg), ProgrammingDr. R. Klöfkorn (IMAGe / NCAR), ProgrammingD. Nies (AAM, University of Freiburg), ProgrammingJ. Gerstenberger (AAM, University of Freiburg), Programming T. Malkmus (AAM, University of Freiburg), ProgrammingA. Pfeiffer (AAM, University of Freiburg)
PicturesSan Jose (Wikimedia Commons), Pictures H. Thorburn (Wikimedia Commons), Pictures J. Gerstenberger (AAM, University of Freiburg)
Dune Ash is an interactive simulation of a volcano eruption in Europe. You can place a volcano, add a wind field and explore the ash cloud dispersing in time.
This application computes an approximate solution to the dispersion of volcano ash over Europe after an eruption. Input data are set interactively and results are computed instantaneously.
Numerical simulations are used in geophysical applications like weather forecast or in predicting the propagation of pollutants in the atmosphere. Mathematical models that describe these phenomena are usually expressed in terms of Partial Differential Equations (PDEs). Computing solutions to systems of PDEs is a challenging task.