We propose to couple our adaptive mesh refinement software PeanoClaw with existing solvers for complex overland flows that are tailored to regular Cartesian meshes. This allows us to augment them with spatial adaptivity and local time-stepping without altering the computational kernels. FullSWOF2D-Full Shallow Water Overland Flows-here is our software of choice though all paradigms hold for other solvers as well. We validate our hybrid simulation software in an artificial test scenario before we provide results for a large-scale flooding scenario of the Mecca region. The latter demonstrates that our coupling approach enables the simulation of complex “real-world” scenarios.

@inproceedings{IOFAPAALTF15,
	author	 = {Kristof Unterweger and Roland Wittmann and Philipp Neumann and Tobias Weinzierl and Hans-Joachim Bungartz},
	title	 = {{Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-Stepping for Complex
      Overland Flows}},
	year	 = {2015},
	booktitle	 = {{Recent Trends in Computational Engineering - CE2014}},
	publisher	 = {Springer},
	address	 = {Berlin, Heidelberg},
	series	 = {Lecture Notes in Computational Science and Engineering},
	number	 = {105},
	pages	 = {181--195},
	conference	 = {CE2014},
	location	 = {Stuttgart},
	isbn	 = {978-3-319-22996-6},
	doi	 = {http://dx.doi.org/10.1007/978-3-319-22997-3_11},
	abstract	 = {We propose to couple our adaptive mesh refinement software PeanoClaw with existing
      solvers for complex overland flows that are tailored to regular Cartesian meshes. This allows
      us to augment them with spatial adaptivity and local time-stepping without altering the
      computational kernels. FullSWOF2D-Full Shallow Water Overland Flows-here is our software of
      choice though all paradigms hold for other solvers as well. We validate our hybrid simulation
      software in an artificial test scenario before we provide results for a large-scale flooding
      scenario of the Mecca region. The latter demonstrates that our coupling approach enables the
      simulation of complex "real-world" scenarios.},
}