Timely and systematic generation of actionable warnings and risk indicators on the severity and extent of drought and water scarcity impacts. Monitoring and forecasting capabilities to support risk-centered drought management and adaptation strategies.
Developed by FutureWater
InfoSequia (www.infosequia.eu) is a site- and user-tailored Monitoring IT-toolbox for the operational monitoring of drought properties, and the forecasting of drought persistence and potential impacts (under development). This is done through the combination of weather information (including weather forecasts), satellite-based data and hydrological/water-allocation modelling outputs, and their deployment through web-mapping or SaaS technologies.
See more information about this level and the TRL and SRL levels.
The BRIGAID Business Development Programme has been successfully completed. A MAF+ assessment has been conducted and its results have been enriched and incorporated into a business plan document.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
As a whole, InfoSequia is integrated by 4 tools: 1) Operational Surveillance and Monitoring Tool, 2) Operational Hydrological Forecasting and Simulation Tool, 3) Strategic Risk Assessment Tool, and 4) Web-based Communication Tool. Originally, InfoSequia reports agricultural and vegetative drought indices based on satellite information, but if required, modelling tools (hydrological modelling, and/or dynamic system modelling) can be also coupled to the sytem to increase the capabilities to provide hydrological drought and water-scarcity indices, or drought forecasts. In its current form, InfoSequia provides drought indices which inform on the current status of greenness vegetation and land surface temperature at different timescale resolutions and spatial aggregations. It consists of a set of fully-integrated algorithms written under an open-source multisource GIS-programming environment (Phyton, QGIS-GDAL, and R languages). The system runs on FutureWater’s computing facilities, and it depends on external “data providers” from which satellite indicators (and/or weather forecasting information) are collected. InfoSequía outputs can be deployed and delivered to clients through a shared ftp, or a Software as a Service (SaaS) (e.g. shinyapps.io. by RStudio, or HydroNET by Hydrologic). The InfoSequia programming code has been optimimally designed to be run in a fast and secure way, and to minimize runtime errors.
Limitations/conditions under which this innovation does not work or is less effective
Better drought characterization and performance is expected on dryland environments. – The generation of hydrological drought and water-scarcity indices requires the local configuration and calibration of models.
Added value
Actionable indicators describe local drought status and risks – Co-designed and co-developed with users to manage drought risk – Integration of monitoring, modelling and forecasting capabilities – Easy integration of outputs into other operational information and control systems – Different deployment and access options – Tested and proven.
Timely and systematic generation of actionable warnings and risk indicators on the severity and extent of drought and water scarcity impacts. Monitoring and forecasting capabilities to support risk-centered drought management and adaptation strategies.
Developed by FutureWater
InfoSequia (www.infosequia.eu) is a site- and user-tailored Monitoring IT-toolbox for the operational monitoring of drought properties, and the forecasting of drought persistence and potential impacts (under development). This is done through the combination of weather information (including weather forecasts), satellite-based data and hydrological/water-allocation modelling outputs, and their deployment through web-mapping or SaaS technologies.
The BRIGAID Business Development Programme has been successfully completed. A MAF+ assessment has been conducted and its results have been enriched and incorporated into a business plan document.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
As a whole, InfoSequia is integrated by 4 tools: 1) Operational Surveillance and Monitoring Tool, 2) Operational Hydrological Forecasting and Simulation Tool, 3) Strategic Risk Assessment Tool, and 4) Web-based Communication Tool. Originally, InfoSequia reports agricultural and vegetative drought indices based on satellite information, but if required, modelling tools (hydrological modelling, and/or dynamic system modelling) can be also coupled to the sytem to increase the capabilities to provide hydrological drought and water-scarcity indices, or drought forecasts. In its current form, InfoSequia provides drought indices which inform on the current status of greenness vegetation and land surface temperature at different timescale resolutions and spatial aggregations. It consists of a set of fully-integrated algorithms written under an open-source multisource GIS-programming environment (Phyton, QGIS-GDAL, and R languages). The system runs on FutureWater’s computing facilities, and it depends on external “data providers” from which satellite indicators (and/or weather forecasting information) are collected. InfoSequía outputs can be deployed and delivered to clients through a shared ftp, or a Software as a Service (SaaS) (e.g. shinyapps.io. by RStudio, or HydroNET by Hydrologic). The InfoSequia programming code has been optimimally designed to be run in a fast and secure way, and to minimize runtime errors.
Limitations/conditions under which this innovation does not work or is less effective
Better drought characterization and performance is expected on dryland environments. – The generation of hydrological drought and water-scarcity indices requires the local configuration and calibration of models.
Added value
Actionable indicators describe local drought status and risks – Co-designed and co-developed with users to manage drought risk – Integration of monitoring, modelling and forecasting capabilities – Easy integration of outputs into other operational information and control systems – Different deployment and access options – Tested and proven.
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