Thresh - Software for Tracking Rainfall Thresholds for Landslide and Debris Flow Occurrence, Code Repository
May 4, 2017
The precipitation tracking program, thresh, is a Fortran program designed for computing various measures of precipitation for comparison against established or trial thresholds for landslide occurrence. The program computes cumulative precipitation and precipitation intensity and duration and compares them to thresholds to identify periods of threshold exceedance for use in landslide early warning. This command-line program is used in conjunction with Python scripts and shell scripts to prepare input files and visualize results.
Citation Information
Publication Year | 2017 |
---|---|
Title | Thresh - Software for Tracking Rainfall Thresholds for Landslide and Debris Flow Occurrence, Code Repository |
DOI | 10.5066/F7Q23XR0 |
Authors | Rex L Baum, Jacob C. Vigil, Sarah J. Fischer |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Landslide Hazards Programs |
Related
THRESH—Software for tracking rainfall thresholds for landslide and debris-flow occurrence, user manual
Precipitation thresholds are used in many areas to provide early warning of precipitation-induced landslides and debris flows, and the software distribution THRESH is designed for automated tracking of precipitation, including precipitation forecasts, relative to thresholds for landslide occurrence. This software is also useful for analyzing multiyear precipitation records to compare timing of thr
Authors
Rex L. Baum, Sarah J. Fischer, Jacob C. Vigil
Related
THRESH—Software for tracking rainfall thresholds for landslide and debris-flow occurrence, user manual
Precipitation thresholds are used in many areas to provide early warning of precipitation-induced landslides and debris flows, and the software distribution THRESH is designed for automated tracking of precipitation, including precipitation forecasts, relative to thresholds for landslide occurrence. This software is also useful for analyzing multiyear precipitation records to compare timing of thr
Authors
Rex L. Baum, Sarah J. Fischer, Jacob C. Vigil