Our research seeks a quantitative understanding of the processes that create landscapes. In addition to landscapes on Earth, we study the surfaces of other planets and moons, including Mars and Titan. Our approach combines theory and modeling, field and remote sensing observations, data from planetary missions, and laboratory experiments. Current projects are aligned with three main themes: self-organization of landscapes, climate and landscape evolution, and planetary surfaces.
Self-organization of landscapes
Landscapes on Earth and other planets display many forms of self-organization. We use a variety of techniques to study how patterns and characteristic scales in topography emerge from the processes that shape a planet's surface.
Characteristic scales in drainage networks
Drainage networks are among the most widespread and recognizable signatures of erosion on Earth. In addition to serving as conduits for water and rock mass across the continents, drainage networks develop characteristic scales and structures that reflect the main factors that shape landscapes, including rock type, climate, tectonic deformation, and life. Our recent work has focused on the origin and interpretation of features such as evenly spaced valleys and the characteristic branching structure of tributary networks.
Formation and adjustment of wave ripples
Bedforms created by wave-generated oscillatory flows are a widespread and visually striking signature of the interaction of complex flows, sediment transport, and bed topography. Postdoc Justin Kao, graduate student Kim Huppert, and undergraduate Abby Koss are comparing field-scale experiments in a laboratory wave tank with numerical experiments to understand how defects in rippled beds accommodate adjustment of bedforms to changes in the driving flow. This is an ongoing collaboration with Paul Myrow (Colorado College) and John Southard (MIT).
Nonlinearity and uncertainty in landscape evolution
As opportunities to compare landscape evolution models with high-resolution topography become more abundant, it is important to assess the robustness of model outcomes. One recent effort culminated in an analysis of the legacy of initial conditions in landscape evolution (with Sergio Fagherazzi at BU). We are also developing improved numerical methods for modeling nonlinear geomorphic processes.
Topographic stresses and rock fracture
Graduate student Mirna Slim is collaborating with Steve Martel (U. Hawai'i) and Kamini Singha (Penn State), to test whether stresses generated by surface topography influence patterns of bedrock fracture.
Branching valley networks in a numerical landscape evolution model
Evenly spaced ridges and valleys at Gabilan Mesa, California (Ionut Iordache)
Wave ripple defects in a Cambrian sandstone in Newfoundland (left, photo by P. Myrow) and a laboratory wave tank (right)
Cross section of topographic stresses at the Susquehanna Shale Hills Critical Zone Observatory










