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READ MOREA new set of products based on the Moloch, Bolam and Globo models have been released on the dds Meteo-hub platform
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READ MORETwo interesting articles were recently published about the Highlander project.
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READ MOREThe supercomputer LEONARDO, jointly funded by EuroHPC and CINECA on behalf of Italian Minister of University and Research, reached the 4th position on the latest release of the Top500 list of the fastest supercomputers in the world, as announced at the SC22 conference in Dallas, Texas on November 14, 2022. Leonardo, and the EuroHPC JU […]
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READ MOREAs 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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READ MOREIn 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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READ MOREOn 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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READ MOREIn 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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READ MOREMultimodel SuperEnsemble is a linear autoregressive fit which, using the observed data, determines the weighted average of the various DMO over a period called “training” The managed models are the following: ECMWF IFS (00 and 12 UTC) COSMO-I5 (00 and 12 UTC) COSMO-2I (00 and 12 UTC) BOLAM (00 UTC) MOLOCH (03 UTC) The (dynamic) […]
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READ MOREITALY 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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READ MOREMeteo-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 […]
The MISTRAL project activites have been performed thanks to the INEA/CEF contribution under the grant agreement number: INEA/CEF/ICT/A2017/1567101 – Action No: 2017 IT IA-0144