these data are for the flood Detection/Intensity at 1/8th degree resolution as output by the GFMS hydrological prediction model. Data of two hydrological models are available: the University of Maryland, the Global Flood Monitoring System (GFMS) They have made sure all available resources (boots, trailers to transport boots to locations, etc.) are ready to deploy and with less than one day before the hurricane makes landfall the fire fighters check the hydrological models to better understand flood depth per area and where the need for first responders is the most. With less than a day out, ECMWF rainfall data (link above) becomes more accurate and fire fighters become more aware of significance of the disaster. It is capable of simulating grids up to 106 cells for dynamic flood events and can take advantage of new sources of terrain information from remote sensing techniques such as airborne laser altimetry and satellite interferometric radar. LISFLOOD-FP is a two-dimensional hydrodynamic model specifically designed to simulate floodplain inundation in a computationally efficient manner over complex topography. The GFMS is a NASA-funded experimental system using real-time TRMM Multi-satellite Precipitation Analysis (TMPA) and Global Precipitation Measurement (GPM) Integrated Multi-Satellite Retrievals for GPM (IMERG) precipitation information as input to a quasi-global (50°N - 50°S) hydrological runoff and routing model running on a 1/8th degree latitude/longitude grid.įathom, 2D flood depth simulations using the numerical model LISFLOOD-FP. ![]() The system provided by DFO fits this OGC initiative perfectly and, furthermore, it is continuously maintained, augmented under and plays a major role in several ongoing NASA and other projects. ![]() United Nations World Food Programme(UN WFP), Federal Emergency Management Agency (FEMA), Red Cross, World Bank, Latin America Development Bank (CAF)) as it provides a) historical flood events, b) near real-time flood maps and c) additional relevant flood disaster information (for example satellite gauged water discharge) globally. The system is highly appreciated by many disaster response organizations worldwide and used by many (e.g. All key DFO flood data layers are already provided as OGC interoperable web map services and as well as through a newly launched mobile app. In this initiative, this user guide proposes to use enhanced satellite- and model-based flood information readily available from the DFO ( ) and elsewhere (NASA, National Oceanic and Atmospheric Administration (NOAA), European Centre for Medium-Range Weather Forecasts (ECMWF), University of Maryland, etc.) to contribute to the successful implementation of Scenario 1. Both initiatives have been merged because they share the same ambitions, technical principles, interoperability challenges, and goals: To develop best practices in sharing and accessing data through Spatial Data Infrastructures in specific contexts: Disaster Resilience on the one side, and general Earth Observation data driven contexts such as ecology, energy, or public health on the other. Whereas GEOSS will achieve comprehensive, coordinated and sustained observations of the Earth system, in order to improve monitoring of the state of the Earth, increase understanding of Earth processes, and enhance prediction of the behavior of the Earth system. OGC is an international not for profit organization committed to making quality open standards for the global geospatial community. The Open Geospatial Consortium (OGC) Disaster Resilience Pilot and the GEOSS Applications Implementation Pilot (GEOSS AIP) have been merged to form the new OGC Disaster Resilience Pilot (DRP-2019) & GEOSS Architecture Implementation Pilot (AIP-10). Overview of lessons learned during the Disasters Resilience Pilot Question this User Guide is Trying to Answer Event time step 3: First response, rescuing people ![]() Right data for the right user at the right time Displaying of the data with proper symbology
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