Hydrological Model Assessment and Development

Landscape Unit Mapping Program for R

Merging of Satellite Datasets with Ground Observations using Random Forests

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/).

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

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

FOSS4G 2021 r.topmodel workshop

Model for estimating return periods for flood events

R package for reading, plotting, analyzing GEOtop simulations outputs

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

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

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.