The Global Flood Awareness System (GloFAS) is one component of the Copernicus Management Service CEMS. It is
designed to support preparatory measures for flood events worldwide, particularly in large trans-national
To provide information on both ongoing and upcoming flood events, GloFAS combines information from satellites, models and in-situ measurements to produce:
GloFAS forecasts are produced using the latest ensemble of Numerical Weather Prediction (NWP) forecasts
of the ECMWF IFS. The medium- and extended-range ensemble runoff outputs are used for GloFAS forecasts, and
the long-range SEAS5 ensemble runoff is used for GloFAS Seasonal.
ECMWF-ENS is the ensemble forecast of ECMWF and consists of 51 members at ~18 km resolution up to 15 days, increasing to 36 km from day 16 to 30. In GloFAS 30-day, the outputs of the 00:00 UTC IFS medium-range runs are used daily for day 1 to 15, and the latest available IFS extended range runs used for day 16 to 30.
SEAS5 is the ensemble seasonal forecast of ECMWF (operational since 5 November 2017), and one of the seasonal forecast models of the Copernicus Climate Change Service. It consists of 51 members at ~36 km horizontal resolution. In GloFAS Seasonal, once a month
A hydrological model transforms the meteorological forcing forecasts into hydrological forecasts by
mimicking the hydrological land processes by a set of equations. In GloFAS, the hydrological model LISFLOOD
is used for medium- and seasonal-range forecasts.
LISFLOOD is a spatially distributed rainfall-runoff-routing model. It was first developed at the Joint Research Centre in 2000 and has been used for operational flood forecasting at the pan-European scale since the beginning of EFAS. Driven by meteorological forcing data (of precipitation, temperature, potential evapotranspiration, and evaporation rates for open water and bare soil surfaces), LISFLOOD calculates a complete water balance at a 6-hourly or daily time step for every 5km grid cells of the EFAS domain. The runoff produced at every grid cell is routed through the river network using a kinematic wave approach. The model also includes options to simulate lakes, reservoirs, and water abstraction. LISFLOOD is coded using the Python programming language and a PCRaster Python extension. LISFLOOD and its associated tools are all open source. The LISFLOOD source code, model documentation, test catchments and tools can be found at the LISFLOOD OS page