Recent Study
The linear feedback precipitation model
(LFPM) - a simple and efficient model for orographic precipitation in the
context of landform evolution modeling
Hergarten S. and J. Robl
Read the entire study!
MOVIES:
Impact
of model parameters on the Precipitation Pattern | India-Asia
MOVIES:
Co-Evolution of Precipiation and Topographie
See also Stefan Hergartens openlem page:
http://hergarten.at/openlem/
Read the entire study!
The influence of climate on landform evolution has received great interest
over the past decades. While many studies aim at determining erosion rates or
parameters of erosion models, feedbacks between tectonics, climate and landform
evolution have been discussed, but addressed quantitatively only in a few
modeling studies. One of the problems in this field is that coupling a
large-scale landform evolution model with a regional climate model would
dramatically increase the theoretical and numerical complexity. Only a few
simple models are available so far that allow a numerical efficient coupling
between topography-controlled precipitation and erosion. This paper fills this
gap by introducing a quite simple approach involving two vertically integrated
moisture components (vapor and cloud water). Even simple numerical
experiments applying such a coupled landform evolution model show the strong
impact of spatial precipitation gradients on mountain range geometry including
steepness and peak elevation, position of the principal drainage divide, and
drainage network properties.

Recent Study
lineaDEM – a R package for morphometric and automated lineament
analysis on digital elevation models
Baumann S., Robl J., Wendt L., Willingshofer E. and S. Hilberg
The package offers basic morphometric analyses on digital elevation
models such as hypsometry, elevation-slope relations and moving window filters
to generate local minima or maxima and generates a directed path following these
extrema (e.g. longitudinal river profiles).Main focus of the package is
automated lineament detection. A multi-directional, multi-scale roughness filter
and an iterative Hough-transformation detect lineaments that solely rely on
elevation information and therefore show no illumination effect. For technical
guidance and examples of the functions please see the lineaDEM-manual. Download
R-package,
Manual
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