Skip to content

AHWALab/EF5

 
 

Repository files navigation

Ensemble Framework For Flash Flood Forecasting (EF5)

version Linux Build Status Windows Build Status

EF5 was created by the Hydrometeorology and Remote Sensing Laboratory at the University of Oklahoma. The goal of EF5 is to have a framework for distributed hydrologic modeling that is user friendly, adaptable, expandable, all while being suitable for large scale (e.g. continental scale) modeling of flash floods with rapid forecast updates. Currently EF5 incorporates 3 water balance models including the Sacramento Soil Moisture Accouning Model (SAC-SMA), Coupled Routing and Excess Storage (CREST), and hydrophobic (HP). These water balance models can be coupled with either linear reservoir or kinematic wave routing.

Learn More

General information about EF5 can be found at AHWA Lab's Webpage. YouTube videos with legacy basic training may be found at EF5's YouTube Channel. The source code for the original development transitioned to NWS operations can be found on HyDROSLab's GitHub at https://github.com/HyDROSLab/EF5.

See EF5's Documentation for the EF5 operating manual which describes configuration options.

Compiling

Linux

Clone the source code from GitHub.

  1. autoreconf --force --install
  2. ./configure
  3. make
    This compiles the EF5 application!

OS X

Clone the source code from GitHub. Use the EF5 Xcode project found in the EF5 folder and compile the project.

Windows

Currently cross-compiling from Linux is the recommended way of generating Windows binaries.

Clone the source code from GitHub.

  1. autoreconf --force --install

  2. For 32-bit Windows installations use ./configure --host=i686-w64-mingw32
    For 64-bit Windows installations use ./configure --host=x86_64-w64-mingw32

  3. make
    This compiles the EF5 application!

Contributors

The following people currently contribute to EF5:

Original contributors

The following people are acknowledged for their contributions to the creation of EF5.

  • Zac Flamig
  • Humberto Vergara
  • Race Clark
  • JJ Gourley
  • Yang Hong

About

Ensemble Framework For Flash Flood Forecasting

Resources

License

Stars

Watchers

Forks

Packages

 
 
 

Contributors

Languages

  • C++ 90.0%
  • HTML 5.2%
  • Shell 2.2%
  • C 2.0%
  • Other 0.6%