• STATISTICAL DOWNSCALED SUB-SEASONAL FORECAST (SUB-SEA) IN HIGHLANDER PROJECT

    As an update with respect to the European HIGHLANDER project, which can be considered an extension of Mistral on climate data, we would like to point the publication of a second news that describes the work done in Highlander to improve the subsets used for predicting and analyzing climate data. In particular, this second news […]

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  • CLIMATE DATASETS IN THE HIGHLANDER PROJECT

    In relation to the network of European projects that is forming around the weather-climate theme, starting from what was done with Mistral, we would like to point out the publication on the Cineca HPC website of a first news on the Highlander Project. This news will be followed by others on Highlander.

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  • 72ND WORLD METEOROLOGICAL DAY

    On 23 March 2022, the 72nd World Meteorological Day (GMM2022) was celebrated. At the Sapienza University of Rome, the Early Warning and Early Action – Hydrometeorological and Climate Information for Disaster Risk Reduction conference was held, which addressed meteorology from different points of view. A common theme in several interventions was: the communication of meteorological […]

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  • METEO TILES

    In Meteotiles each meteorological variable is represented as a web map side by side In Meteotiles each meteorological variable is represented as a web map side by side. This allows a dynamic visualization of the maps, allowing navigation and zooming, as well as the superimposition of multiple maps, each representing a different weather variable. A […]

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  • MULTIMODEL FORECAST

    Multimodel SuperEnsemble is a linear autoregressive fit which, using the observed data, determines the weighted average of the various DMO over a period called “training” Multimodel SuperEnsemble is a linear autoregressive fit which, using the observed data, determines the weighted average of the various DMO over a period called “training”. It is then assumed that […]

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  • ITALY FLASH FLOOD

    ITALY FLASH FLOOD “Application delivering probabilistic forecasts of 6-hour rainfall for Italy, created by blending together post-processed ensemble forecasts, from ECMWF (“ecPoint”) and COSMO. Output shows pre-defined rainfall percentiles and probability thresholds for each COSMO grid point. ECPOINT-RAINFALL DESCRIPTION The Point Rainfall product aims to deliver probabilities for point measurements of rainfall (within a forecast […]

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  • WEATHER DATA DOWNLOADER

    Meteo-Hub allows registered users to create and download personal weather data collections chosen from the various forecast models, weather stations, parameters and time period. The download is available in BUFR and JSON format for observed data and in GRIB format for forecast data. Different post processing operations can also be applied to the selected data […]

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  • ENVIRONMENTAL OBSERVATION

    Observational data are gathered from various sources into Mistral platform This Application provides observed meteorological data over italian locations obtained from public weather station. Real time and historical data is provided by using a geospatial information system or displayed in interactive graph. Observational data are gathered from various sources into Mistral platform. Here data become […]

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  • FORECAST PRESENTATION

    The forecast data are available in terms of grid fields, probabilistic products or punctual time series coming from the chain of Italian operational model forecasts and post-processing procedures. COSMO-2I, COSMO-5M The forecast data are available in terms of grid fields, probabilistic products or punctual time series coming from the chain of Italian operational model forecasts […]

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