At the national level, in Italy, observational and forecast data are collected by various public bodies and are often kept in various small, heterogeneous and non-interoperable repositories, released under different licenses, thus limiting the usability for external users. In this context, MISTRAL (the Meteo Italian SupercompuTing PoRtAL) was launched as the first Italian meteorological open data portal, with the aim of promoting the reuse of meteorological data sets available at national level coverage. The MISTRAL portal provides (and archives) meteorological data from various observation networks, both public and private, and forecast data that are generated and post-processed within the Consortium for Small-scale Modeling-Limited Area Model Italia (COSMO-LAMI) agreement using high performance computing (HPC) facilities. Also incorporated is the Italy Flash Flood use case, implemented with the collaboration of European Centre for Medium-Range Weather Forecasts (ECMWF), which exploits cutting edge advances in HPC-based post-processing of ensemble precipitation forecasts, for different model resolutions, and applies those to deliver novel blended-resolution forecasts specifically for Italy. Finally, in addition to providing architectures for the acquisition and display of observational data, MISTRAL also delivers an interactive system for visualizing forecast data of different resolutions as superimposed multi-layer maps.

中文翻译：

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意大利开放数据气象门户网站：MISTRAL

在国家层面，在意大利，观测和预报数据由各种公共机构收集，通常保存在各种小型、异构和不可互操作的存储库中，以不同的许可证发布，从而限制了外部用户的可用性。在此背景下，MISTRAL（意大利气象超级计算门户）作为第一个意大利气象开放数据门户启动，旨在促进国家级覆盖范围内可用气象数据集的重用。MISTRAL 门户提供（和存档）来自各种公共和私人观测网络的气象数据，以及在小规模建模有限区域模型意大利联盟 (COSMO-LAMI) 协议中生成和后处理的预测数据高性能计算 (HPC) 设施。还包括意大利山洪使用案例，与欧洲中期天气预报中心 (ECMWF) 合作实施，该中心利用基于 HPC 的集合降水预报后处理的前沿进展，针对不同的模型分辨率，以及应用这些来专门为意大利提供新颖的混合分辨率预测。最后，除了为观测数据的获取和显示提供架构外，MISTRAL 还提供了一个交互式系统，用于将不同分辨率的预报数据可视化为叠加的多层地图。适用于不同的模型分辨率，并应用这些分辨率来提供专门针对意大利的新型混合分辨率预测。最后，除了为观测数据的获取和显示提供架构外，MISTRAL 还提供了一个交互式系统，用于将不同分辨率的预报数据可视化为叠加的多层地图。适用于不同的模型分辨率，并应用这些分辨率来提供专门针对意大利的新型混合分辨率预测。最后，除了为观测数据的获取和显示提供架构外，MISTRAL 还提供了一个交互式系统，用于将不同分辨率的预报数据可视化为叠加的多层地图。