Publications by Steven Vincent Weijs

Extracting High Resolution Snow Distribution Information with Inexpensive Autonomous Cameras

Wolf Hendrik Huwald, Steven Vincent Weijs

This study details a procedure to derive high resolution snow cover information using low-cost autonomous cameras. Images from time lapse photography of target areas are used to obtain temporally resolved binary snow-covered area information. Various image ...

EasyChair2018

Controls on the diurnal streamflow cycles in two subbasins of an alpine headwater catchment

Marc Parlange, Steven Vincent Weijs, Marc Calaf Bracons, Holly Jayne Oldroyd, Raphaël Mutzner

In high-altitude alpine catchments, diurnal streamflow cycles are typically dominated by snowmelt or ice melt. Evapotranspiration-induced diurnal streamflow cycles are less observed in these catchments but might happen simultaneously. During a field campai ...

American Geophysical Union2015

Advancing catchment hydrology to deal with predictions under change

Steven Vincent Weijs

Throughout its historical development, hydrology as an earth science, but especially as a problem-centred engineering discipline has largely relied (quite successfully) on the assumption of stationarity. This includes assuming time invariance of boundary c ...

Copernicus Gesellschaft Mbh2014

The data processing inequality and environmental model prediction

Steven Vincent Weijs

Prediction in environmental systems, such as hydrological streamflow prediction, is a challenging task. Although on a small scale, many of the physical processes are well described, accurate predictions of macroscopical (e.g. catchment scale) behavior with ...

2014

An information-theoretical perspective on weighted ensemble forecasts

Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

This paper presents an information--theoretical method for weighting ensemble forecasts with new information. Weighted ensemble forecasts can be used to adjust the distribution that an existing ensemble of time series represents, without modifying the valu ...

Elsevier2013

Could electrical conductivity replace water level in rating curves for alpine streams?

Marc Parlange, Steven Vincent Weijs, Raphaël Mutzner

Streamflow time series are important for inference and understanding of the hydrological processes in alpine watersheds. Because streamflow is expensive to continuously measure directly, it is usually derived from measured water levels, using a rating curv ...

American Geophysical Union2013

Data compression to define information content of hydrological time series

Marc Parlange, Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) inf ...

Copernicus Gesellschaft Mbh2013

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

Pierre-André Farine, Jan Skaloud, Cyril Botteron, Steven Vincent Weijs, Jérôme Leclère

Moisture content in the soil and snow in the alpine environment is an important factor, not only for environmentally oriented research, but also for decision making in agriculture and hazard management. Current observation techniques quantifying soil moist ...

2013

Geomorphic signatures on brutsaert base flow recession analysis

Andrea Rinaldo, Marc Parlange, Enrico Bertuzzo, Steven Vincent Weijs, Raphaël Mutzner, Serena Ceola, Ludovico Nicotina, Nevena Tomasic

This paper addresses the signatures of catchment geomorphology on base flow recession curves. Its relevance relates to the implied predictability of base flow features, which are central to catchment-scale transport processes and to ecohydrological functio ...

American Geophysical Union2013

HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data

Marc Parlange, Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

From algorithmic information theory, which connects the information content of a data set to the shortest computer program that can produce it, it is known that there are strong analogies between compression, knowledge, inference and prediction. The more w ...

MDPI AG2013