A parallel, adaptive library for logically Cartesian, mapped, multiblock domains

What is ForestClaw?

ForestClaw is a parallel, multi-block adaptive finite volume library for solving PDEs on mapped, logically Cartesian meshes. For solving hyperbolic problems using explicit, single step algorithms, ForestClaw's block-structured adaptive algorithm, including multi-rate time stepping uses the Berger, Oliger and Colella AMR algorithms (JCP, 1984, 1989). The hyperbolic solvers are currently based on ClawPack (R. J. LeVeque). Future plans include support for general method-of-lines solvers in a multi-rate setting.

Where ForestClaw departs from the standard Berger-Oliger-Colella block-structured approach is that the multi-resolution grid hierarchy is not stored as overlapping, nested grids but rather as a composite structure of non-overlapping fixed sized grids, each of which is stored as a leaf in a forest of quad- or octrees. The particular code base we use for managing the tree is p4est (, (Carsten Burstedde, Univ. of Bonn).

Why develop another AMR code?

Currently, there are several AMR codes for doing block-structured AMR. What are the advantages of the ForestClaw approach?

Progress on the ForestClaw project

Publications and Presentations

Recent talks


ForestClaw News

Working on the ForestClaw project

Are you are student interested in working on the ForestClaw project? We have funding opportunities for students interested in working on developing numerical solvers and applications using ForestClaw. We are recruiting :

Both positions would be available through the Applied Mathematics Department at Boise State University. If you are interested in the above positions, please contact Donna Calhoun at For more details on this project and other positions available in Applied Math at BSU, see our recruitment flyer.

Where can I get ForestClaw?

We are close to releasing our first beta version (Nov. 2014). Please check back for status updates.


Carsten Burstedde (University of Bonn, Germany), and Donna Calhoun (Boise State University, USA)


Donna Calhoun would like to acknowledge the support of the Isaac Newton Institute and the program Adaptive Multiscale Numerics for the Ocean and Atmosphere, where much of the initial work in developing ForestClaw was done, and the National Science Foundation (NSF).


Last modified: Sat Dec 13 11:49:14 MST 2014