IT
High resolution weather-climate services, applications and data
Hypermeteo is an Innovative startup that processes high resolution, certified weather-climate datasets – historical, real-time, and forecasting – indices and scenarios, supporting all industrial sectors in their interaction with climate change.
Unified database
The data collected from the observation set (networks of weather stations, radars, lightning, satellites, radiometers, etc.) feed into a systematic, coordinated national database.
Representative weather data
By convention, in probative situations (contractual, legal), meteorological data is considered to be adequately representative at up to 1 km2 of land area.
The Hypermeteo grid
Data from the global observation set are processed and spatialised on high-resolution (up to 1 km) digital grids.
Updating the dataset
A constant flow of information feeds the process of continuously updating the dataset with historical, real-time and forecast data.
Virtual weather stations
Each cell of the digital grid corresponds to a virtual weather station that detects, processes and stores all weather parameters.
Atmospheric digital twin
The datasets populate a regular system of digital map grids that stand out for their high representativeness of weather-climate trends and the complete coverage in space and time offered.
Historical data
Faithful reconstruction of past climates through digital reanalysis of historical datasets.
Real-time data
Continuous, real-time monitoring of the trends of all weather variables.
Forecast data
Nowcasting developed using medium-term proprietary algorithms, with a multi-model ensemble system.
Risk indices and indicators
Accurate and representative information summarising the climatology of each adversity
for each point in the territory.
Climate scenarios
A medium- and long-term view, correlated with the different possible hypotheses of climate evolution according to IPCC, to measure the impact of climate change.
E3CI, the first index measuring
extreme weather events
Official distributors
What is it?
The E3CI climate index is a suite of indicators, updated monthly, providing concise and intuitive information on the frequency and severity of weather-related hazards across Europe, focusing on cold and heat stress, drought, extreme precipitation, and extreme winds.
European Extreme Events Climate Index
The E3CI is a risk management tool for institutions and companies used to analyse, predict and assess the economic damage caused by extreme weather events and to provide an objective measure for monitoring climate trends.
Starting from Copernicus Climate Change Service (C3S) ERA5 data, which contains historical information on trends in climate events in Europe and Italy from 1981 onwards, the Index is able to make comparisons, calculate trends and predict the incidence of 7 specific weather dynamics.
The Index looks at the values recorded for each dynamic and returns the number and intensity of the variations compared to the historical average. Using this information makes it possible to make medium- and long-term forecasts on the incidence of the seven dynamics in specific areas, highlighting the areas most subject to climate stress.
The index is composed of the following indicators: extreme maximum temperature, extreme minimum temperature, extreme precipitation, extreme
winds, hail, drought, fires.
FREE DATA
The data at a ‘country’ level held in the Index for the European area are freely accessible. Regional data from the Italy area and provincial data from the Emilia-Romagna area are also freely accessible.
DATA on REQUEST
A customised quote can be requested for regional and provincial data in a local grid with a level of detail down to 30 km.
E3CI European Extreme Events
Climate Index is a project of:
Implemented by:
Data distributed by:
