Hydrological Model Assessment and Development

Merging of Satellite Datasets with Ground Observations using Random Forests

Landscape Unit Mapping Program for R

A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT

Analysis scripts of the paper "Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?", published in HESS

R functions for facilitating the reading and writing of input and output files for the USGS Precipitation Runoff Modeling System.

Model for estimating return periods for flood events

Fetches, processes, and models groundwater levels for the High Plains (Ogallala) region of the US using data from the USGS High Plains Water Level Monitoring Study (see: https://ne.water.usgs.gov/ogw/hpwlms/).

FOSS4G 2021 r.topmodel workshop

Synthesize multi-scenario, multi-watershed outputs from process-based geospatial model WEPP (WEPPcloud) using this post-processing, interactive visualization, and analysis tool. A Shiny Web app implementation to assist in targeted management using WEPPcloud simulated outputs.

Canadian Great Lakes Weather Data Service for SWAT (Can-GLWS)

Scripts and data used in a study to assess the impact of various model enhancements on the performance of a hydro-sedimentological model.

R package for reading, plotting, analyzing GEOtop simulations outputs