1. The Global Flood Monitoring System (GFMS) has been developed for real- time application. Evaluation of system shows promising performance in retrospective runs vs. observed streamflow records and in flood event detection against global flood event statistics. System results are being used inter...
A real-time experimental system, the Global Flood Monitoring System (GFMS) produces quasi-global flood estimates with updates every three hours. Images and output data are available for use by the community (http://oas.gsfc.nasa.gov/globalflood/). The current flood detection and intensity ...
Several global flood forecasting and warning systems are now being developed towards this goal. For instance, the Global Flood Monitoring System (GFMS) uses satellite precipitation data in combination with coupled land surface and river routing models to provide near-real time flood detection and ...
public datasets can be used to improve global access to forecasts of extreme events in global rivers. On the basis of the model and experiments described in this paper, we developed an operational system that produces short-term (7-day) flood forecasts in over 80 countries. These forecasts...
Although several developed countries have well-established systems for river monitoring and flood early warning, figures of populations affected every year by floods in developing countries are unsettling. This paper presents the Global Flood Awareness System (GloFAS), which has been set up to provide...
(precipitation, low-level wind vectors and magnitude, significant wave heights, and sea ice) for the past 10, 30, and 90 days. Storm tracks from the Global Forecast System (GFS) are also included. All data is provided courtesy of the Environmental Modeling Center (EMC) of the National ...
Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awarene... Service (CEMS) Global Flood Awareness System (GloFAS) modelling chain and its reanalysis dataset as an example of a global hydrological reanaly...
The first machine learning application deployed on the satellite is a cloud detection model22 similar to the system used on EO-1. Using the on-board VPU to perform segmentation, an output two-bit flood map (up to four classes) would reduce the amount of data being down-linked by a ...
Explore our innovative flood forecasting and monitoring system. Providing rapid flood inundation and impact forecasting, guiding early warning and anticipatory action worldwide.
The centre is a German contribution to the World Climate Research Programme (WCRP), to the Global Climate Observing System (GCOS), and to the Global Earth Observation System of Systems (GEOSS). It contributes to water resources assessments, flood and drought monitoring, climate variability and ...