This year’s EMS meeting placed a strong emphasis on the growing use of artificial intelligence and machine learning in atmospheric sciences. These technologies are transforming how scientists process data, predict severe weather and understand climate change. Under the umbrella of this thematic focus, the DTWO contributions covered advances in wind energy modelling, atmosphere–wave coupling and the wind farms model parametrisation.

Clara Ducher gave a presentation on wind energy plugins for weather prediction models, introducing the latest developments of Plume, ECMWF’s plugin mechanism for Earth system models. Her talk highlighted Plume applications in DTWO, and more broadly, to the entire wind energy sector: extreme event capture and wind farm parametrisation. “It is inspiring to see the breadth of research at EMS – Clara noted – and exciting to contribute to software as Plume, which enables the community to advance their work”.

Jana Fischereit focused on the role of atmosphere-wave coupling for a more accurate wind speed modelling, and on benchmarking different wind farm parameterisations in mesoscale models. “We had many inspiring talks on the two days we were there – Jana said – and I was happy to contribute with a validation study on atmosphere-wave-wake coupled models”.

Events like EMS strengthen collaboration across the weather and climate community, driving forward the winds of progress in atmospheric research and wind energy applications.

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