Implemented by the European Commission as part of the Copernicus Programme

Products

Overview

The Global Flood Awareness System (GloFAS) is one component of the Copernicus Emergency Management Service (CEMS). It is designed to support preparatory measures for flood events worldwide, particularly in large transnational river basins.
To provide information on both upcoming and ongoing flood events, GloFAS combines information from satellites, models and in-situ measurements to produce:


Information on GloFAS hydrological model and forecast skill is available from GloFAS Skill.

Furthermore, the complementary Global Flood Monitoring product enables the continuous monitoring of floods worldwide by immediately processing and analysing all incoming Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) satellite data.

GloFAS forecast products are based on the combination of meteorological forecasts, hydrological modelling, and a catalogue of flood inundation maps. This page provides an overview of the meteorological forecasts and hydrological model at the core of GloFAS forecasts.

Meteorological forecasts

GloFAS forecasts are produced using the latest ensemble of Numerical Weather Prediction (NWP) forecasts of the ECMWF Integrated Forecast System (IFS). The medium- and extended-range ensemble outputs are used for GloFAS forecasts, and the long-range SEAS5 ensemble is used for GloFAS Seasonal forecast.
ECMWF-ENS is the ensemble forecast of ECMWF and consists of 51 members at ~9 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. Based on SEAS5, GloFAS Seasonal forecasts provide hydrological outlooks which show the likelihood of high or low flows within the coming sixteen weeks in a region and the GloFAS river network once a month.
A more detailed description of GloFAS meteorological forecasts is available from this page of the CEMS-Flood Wiki.


Hydrological Model

A hydrological model transforms the meteorological forcing forecasts into hydrological forecasts by mimicking the hydrological land processes by a set of equations. The hydrological model Open Source LISFLOOD has been used to generate GloFAS medium- and seasonal-range forecasts starting from GloFAS v3.1 (May 2021).
Open Source LISFLOOD (OS LISFLOOD) is a spatially distributed, physically based hydrological model which has been developed by the Joint Research Centre (JRC) of the European Commission since 1997 ( De Roo et al., 2000). The numerical simulation is driven by meteorological forcing data (precipitation, temperature, and potential evapo-transpiration): the model solves the water balance at every time step and for each grid cell. A set of raster maps showing terrain morphology, soil properties, land cover and land use features, and water demand, enables the modelling of the hydrological cycle in different climates and socio-economic contexts. The OS LISFLOOD source code, model documentation, user guide, and ancillary tools (including calibration scripts) can be accessed via the OS LISFLOOD page.
GloFAS OS LISFLOOD implementation uses daily time steps; model spatial resolution was 0.1° up to GloFAS v3.5, it was increased to 0.05° (approximately 5 km at the Equator) with GloFAS v4.0 (July 2023). Information about OS LISFLOOD raster maps is available from the following page: land surface implementation maps. Technical description of each operational release can be accessed from CEMS GloFAS versioning system, with this page providing information on the latest operational release.

Finally, an overview of the hydrological models used within the past GloFAS operational releases is available from this page