Medium-term weather trend

Medium-term weather trend

Forecasting service that provides the weather trend up to 14 days on the phenomena of interest in the form of a probabilistic output.

STRENGHTS

Planning

The service allows the user to set up a medium-term programme.

Customisation

The service is personalised and tailored to the customer’s needs.

Probability forecast

The meteorological data is accompanied by information on its reliability.

Validation

Forecasts are always validated by a team of experienced meteorologists.

FORECASTS UP TO 14 DAYS

ANALYSIS OF THE WEATHER TREND

The team of meteorologists monitors and analyses the weather trend on a daily basis up to the following 14 days.

FORECAST BULLETINS

The forecast bulletin for the weather trend is processed every two weeks (generally on Mondays and Thursdays) to obtain a frequent update of the information.

ALERTS ON SPECIFIC THRESHOLDS

The forecasts report the exceedance of specific thresholds referring to the customer’s territory, which can be identified on the basis of historical data.

PRODUCT CUSTOMISATION

GEOREFERENCED MAPS

Visualisation of the expected threshold exceedances in the form of georeferenced maps.

GRAPHS

Visualisation of the meteorological evolution on a point using box plot or column graphs with indication of the expected threshold exceedances.

METEOROLOGISTS COMMENTARY

The weather trend is accompanied by a description of the expected evolution on a large scale and on a local scale, contextualising the displayed data.

MULTI-MODEL ENSAMBLE METHOD

MODEL INTEGRATION

Integration of different models, developed by international institutional bodies and in-house by Radarmeteo.

PROBABILISTIC INFORMATION

The generated forecasts are integrated to provide probabilistic data. The weather data is therefore always characterised by an estimate of its reliability.

VALIDATION OF THE TEAM OF METEOROLOGISTS

The data deriving from the multi-model ensemble analysis are subject to validation by the team of meteorologists aiming to improve the accuracy of the data provided.

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