Assessment and forecast of weather extreme events
Developed by Farisa Asesores y Consultores (MeteoGrid)
GIS-WRAP (Geographical Information System and Weather Risk Awareness Platform) is a toolbox for the mapping and assessment of multi-risk scenarios (forest fires, floods, extreme weather). It combines weather observation and forecast, and thematic and remote sensing data in a time-dependent geographical platform to feed models in an interoperable fashion. Outcomes in the form of risk indices, warnings, and vulnerability reports, are communicated through an advanced visualization interface.
See more information about this level and the TRL and SRL levels.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
GIS-WRAP seeks and collects weather observation and forecast data from external datasets according to quality and resolution criteria. Meteorological data are processed, if required, using spatial interpolation and numerical downscaling techniques, and are 2D/3D shown through visualization consoles. This data is then combined with spatial thematic layers to retrieve additional risk variables and indexes, and warnings are generated after a threshold-based approach is set up. Modelling techniques are finally used to simulate the evolution of hazard and its induced effects (spread of forest fires or floods), its intensity, and the area affected. Vulnerability maps and reports are also generated for supporting operational decisions.
Limitations/conditions under which this innovation does not work or is less effective
Added value
Interoperability, flexibility, adaptability and scalability are the words that best describe GIS-WRAP and MeteoGrid as an infomediary services provider. Given its interoperability character, GIS-WRAP allows the seamless modelling of chained hazards, such as forest fires (entailing the sudden and severe denudation of soil coverage) followed by intense rain episodes, hence the associated runoff which may eventually lead to flash floods.
Assessment and forecast of weather extreme events
Developed by Farisa Asesores y Consultores (MeteoGrid)
GIS-WRAP (Geographical Information System and Weather Risk Awareness Platform) is a toolbox for the mapping and assessment of multi-risk scenarios (forest fires, floods, extreme weather). It combines weather observation and forecast, and thematic and remote sensing data in a time-dependent geographical platform to feed models in an interoperable fashion. Outcomes in the form of risk indices, warnings, and vulnerability reports, are communicated through an advanced visualization interface.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
GIS-WRAP seeks and collects weather observation and forecast data from external datasets according to quality and resolution criteria. Meteorological data are processed, if required, using spatial interpolation and numerical downscaling techniques, and are 2D/3D shown through visualization consoles. This data is then combined with spatial thematic layers to retrieve additional risk variables and indexes, and warnings are generated after a threshold-based approach is set up. Modelling techniques are finally used to simulate the evolution of hazard and its induced effects (spread of forest fires or floods), its intensity, and the area affected. Vulnerability maps and reports are also generated for supporting operational decisions.
Limitations/conditions under which this innovation does not work or is less effective
Added value
Interoperability, flexibility, adaptability and scalability are the words that best describe GIS-WRAP and MeteoGrid as an infomediary services provider. Given its interoperability character, GIS-WRAP allows the seamless modelling of chained hazards, such as forest fires (entailing the sudden and severe denudation of soil coverage) followed by intense rain episodes, hence the associated runoff which may eventually lead to flash floods.
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