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anemoi-models DISCLAIMER This project is BETA and will be Experimental for the foreseeable future. Interfaces and functionality are likely to change, and the project itself may be scrapped. DO NOT use this software in any project/software that is operational.Miscellanous tools for training data-dri...
ECMWF added a range of data-driven AI predictive models as part of its platform solution. Pangu forecast maps are displayed on the website in six dimensions: mean sea level atmospheric pressure and 850 hPa wind speed, 500 hPa altitude and 850 hPa temperature, mean sea level atmospheric pressur...
trying to integrate partial AI models into existing larger numerical models poses a challenge. However, the partial emulation of physical processes by ML also poses large opportunities as discussed in TA4 so we encourage the development of packages like infero13which can help with this integration...
微软发布Aurora,借AI之眼预测全球风暴 新智元报道 编辑:庸庸 好困 【新智元导读】微软发布首个大规模大气基础模型Aurora,可被用于预测和减轻极端天气影响,模型拥有超高的准确率和效率,与如今数值预报系统界的SOTA相比,它的计算速度提高了约5000倍。 自人类有历史以来,就一直执着于预测天气,以各种方式破解「天空之语」...
开发新一代模型以生成高分辨率的地球数字孪生体(Developing next-generation models to produce high-resolution digital twins of the Earth) 增加云技术应用,确保数据的高效利用(Increased use of Cloud technologies to enable efficient use of data) 融合1950年以来全球天气和环境灾害的再分析和再预报(Integrated glob...
近日,谷歌旗下DeepMind团队发布了一项革命性的AI气象预测技术——GenCast模型,能够提前15天提供精准且快速的天气预报,其预测准确度甚至超越了ECMWF的ENS系统。 GenCast是一种机器学习天气预报方法,基于数十年的再分析数据进行训练。GenCast可...
This research explores the use of machine learning techniques to improve the ECMWF S2S precipitation forecast, here following the AI competition guidelines proposed by the S2S project and the World Meteorological Organisation (WMO). A baseline analysis of the ECMWF S2S precipitation hindcast...
These increments are the systematic errors of global climate models, generated in the reanalysis procedure. The model errors result not only from the lack of desert dust but also from a complex combination of many kinds of model errors. Over the Sahara desert the lack of dust radiative effect ...
2 changes: 1 addition & 1 deletion 2 ai_models/remote.py Original file line numberDiff line numberDiff line change @@ -123,7 +123,7 @@ def _update_state(self, response: requests.Response): data = response.json() href = data["href"] status = data["status"].lower() except: ...