The Ensemble Framework for Flash Flood Forecasting (EF5) v1.2: Description and case study

37Citations
Citations of this article
59Readers
Mendeley users who have this article in their library.

Abstract

The Ensemble Framework For Flash Flood Forecasting (EF5) was developed specifically for improving hydrologic predictions to aid in the issuance of flash flood warnings by the US National Weather Service. EF5 features multiple water balance models and two routing schemes which can be used to generate ensemble forecasts of streamflow, streamflow normalized by upstream basin area (i.e., unit streamflow), and soil saturation. EF5 is designed to utilize high-resolution precipitation forcing datasets now available in real time. A study on flash-flood-scale basins was conducted over the conterminous United States using gauged basins with catchment areas less than 1000 km2. The results of the study show that the three uncalibrated water balance models linked to kinematic wave routing are skillful in simulating streamflow.

Cite

CITATION STYLE

APA

Flamig, Z. L. Z. L., Vergara, H., & Gourley, J. J. (2020). The Ensemble Framework for Flash Flood Forecasting (EF5) v1.2: Description and case study. Geoscientific Model Development, 13(10), 4943–4958. https://doi.org/10.5194/gmd-13-4943-2020

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free