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This service provides support in the design, compliance and certification of monitoring networks according to the WMO guidelines. The final goal is to obtain quality data, which can be integrated into decision support systems and risk management activities.
Services dedicated to the world of risk management.
These include analyses of past events, provision of data and detailed weather reports on weather events specific to each location nationwide. A dedicated team provides direct support to companies and surveyors operating at local level.
The service integrates numerical prediction model data, measured data and nowcasting techniques to produce continuously updated, quantitative alerts on rainfall amounts expected during the following +72 hours, compared to local climatology.
A team of trained and highly specialised meteorologists provides a continuous 24/7/365 support, issuing reports, bulletins, and warnings for operation planning and management, tailored to the specific project. Whether it is onshore or even offshore, thanks to the SeaCast® suite.
Accessible from PC and mobile devices, MeteoCast is the web-GIS platform that interactively displays all available meteorological data.
Ideal for activities, operations and the realms of
decision-making affected by the weather and climate phenomena.
Interactive, comprehensive, detailed monitoring of past, current and future weather conditions.
The Hypermeteo dataset – featuring over 30 years of historical data and built using the reanalysis method – provides insight into past climate scenarios.
NEAR REAL TIME DATA – Data are constantly updated to ensure thorough monitoring of all meteorological variables.
NOWCASTING DATA – Forecast data obtained with a high refresh rate frequency (up to 5 minutes), extremely useful for very short-term forecasting (3-6 hours).
FORECAST DATA – The set of weather parameters are processed with high-resolution atmospheric simulation models to produce short-term (up to 3 days) and medium to long-term (3 to 15 days) forecasts.
CLIMATE SCENARIOS – Impact scenarios based on climatological long-term projections supporting adaptation strategies for climate change.
Using the proprietary historical dataset, Hypermeteo can calculate areal indices and risk indicators for all main atmospheric perils. Data depict weather and climate risk, accounting for the probability of occurrence of adverse events, their severity, the potential correlation between multiple events and size of the area affected by the peril.
Hypermeteo develops climate scenarios based
on EURO-CORDEX data from the World Climate Research Program (WCRP). Downscaling increases the resolution and representativeness of projections, aligning them with the needs of the economic sector, which requires focused scenarios for the coming decades.
The calculated indices enable:
The statistical analysis of daily hail events over the past 10 years has enabled the development of a related risk index, which classifies every point of the territory on a scale from 0 to 10 based on the frequency of hail events. The spatial resolution of the index is 1 km across the entire national territory.
The index can be provided via API (WMS or point queries), as a raster (GeoTIFF or NetCDF) for use in third-party systems and DSS, or as a simple image, integrated into the MeteoCast® webGIS platform.
The set of platforms, applications, operational support, and high-accuracy and representativeness data provision services developed by Radarmeteo
are now a benchmark in decision-making processes within organisations and businesses and in meteorological risk assessments applied to numerous fields.
Radarmeteo offers solutions to improve planning of and safety during activities affected by the weather, responding to the newest challenges arising with climate change. This means providing concrete answers for economic growth and promoting a model of meteorology based on sustainability and open to all cultures and society as a whole.
It converges data from worldwide official, WMO-certified or compliant weather monitoring networks in a single, coordinated and independent database, supplying meteorology datasets for all kinds of applications and territorial spheres, at varying levels of historical depth.
These datasets are distributed on high-resolution digital grids that offer detailed representation in space and time.