ECMWF’s Ensemble of Data Assimilations is providing a novel and efficient way to assess the impact of new satellite observations and to help inform the development of the Global Observing System. Sean Healy and Katrin Lonitz discuss some of the latest work.
Radio frequency interference poses serious risks to numerical weather prediction and other fields. Stephen English takes us through the key issues discussed at the RFI 2022 workshop on monitoring, mitigation, and management.
On International Women’s Day, ECMWF’s Director-General Florence Rabier discusses working in the diverse environment of ECMWF, in a field that has fascinated her since childhood.
Over his nine-month secondment at ECMWF, Miloš Lompar from the Serbian Met Service worked with Domokos Sármány and others in Production Services as part of the Maestro project looking at novel technologies for data input/output – currently one of the major bottlenecks in ECMWF’s Integrated Forecasting System.
Matthew Chantry and Peter Dueben look at the expanding range of projects exploring the use of machine learning within the Centre’s forecasting system.
Julia Wagemann and Esperanza Cuartero discuss the cutting-edge innovations and high-quality open-source developments from this year’s Summer of Weather Code.
Following the opening of ECMWF's data centre in Bologna and offices in Bonn, Emanuele Danovaro highlights the opportunities this brings for collaboration in the EuroHPC ACROSS project.
For the last 15 years, the CALIPSO satellite has been providing a unique, three-dimensional view of clouds and aerosols. Our scientists look back at its contribution to weather forecasting and atmospheric monitoring.
Irina Sandu and Bjorn Stevens present a European effort to build the next generation of Earth system models in the H2020 project NextGEMS.
Patricia De Rosnay and colleagues discuss a recent study which uses neural network techniques to derive soil moisture from satellite observations. Neural networks are shown to outperform operational methods in some regions.
The machine learning for scalable meteorology and climate (MAELSTROM) project began in April 2021. Peter Dueben, project coordinator, talks about its aims and the importance of co-design projects for concerted developments of applications, software, and hardware design.
Data from surface-based observations are vital for skilful forecasts, but significant areas of the globe remain comparatively poorly observed. Bruce Ingleby looks at the role that surface-based observations play and the impact of gaps in coverage.
Following a recent publication, Nikolaos Mastrantonas discusses the spatio-temporal characteristics of extreme precipitation events across the Mediterranean and their connection to large-scale atmospheric flow patterns.
Irina Sandu and François Massonnet (Université Catholique de Louvain) discuss polar observations, their impact on forecasting, and how the development of observing systems goes hand in hand with the development of numerical prediction systems.
Sean Healy has had a crazy year – and for a change we are not talking about COVID. Despite the restrictions of working from home, Sean and colleagues at the Centre have achieved remarkable progress in the use of data from global satellite navigation systems to improve our forecasts.
ECMWF Fellow Louise Nuijens is daydreaming about a field campaign in Barbados earlier this year. Working with us, she is analysing the observations that were collected there, to understand how clouds affect and are affected by the wind.
Julia Wagemann and Esperanza Cuartero discuss the exciting developments from this summer's ESoWC, which gives developers the opportunity to work with ECMWF mentors to solve a range of challenges facing the Centre.
Colleagues from the Karlsruhe Institute for Technology join with ECMWF staff to discuss improvements in our understanding of how aerosols, clouds and radiation affect the monsoon rains of southern West Africa.
Given that data assimilation is such a central aspect of ECMWF’s work, Geir Evensen was invited to present a seminar and a blog covering his work on its use in modelling aspects of the COVID-19 pandemic.