Session NP4.2

meetingorganizer.copernicus.org

Is AI the secret to forecasting our changing climate? | The National

New approaches to predicting the weather and wildfires are emerging

thenationalnews.com

Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling

Machine learning is reshaping the representation of complex physical processes in Earth system models, offering new avenues for parameterization, emulation, and hybrid modeling. This session focuses o...

agu.confex.com

Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling

Machine learning is reshaping the representation of complex physical processes in Earth system models, offering new avenues for parameterization, emulation, and hybrid modeling. This session focuses o...

agu.confex.com

Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling

Machine learning is reshaping the representation of complex physical processes in Earth system models, offering new avenues for parameterization, emulation, and hybrid modeling. This session focuses o...

agu.confex.com

Storm clouds threaten a promised AI revolution in weather prediction

New AI models from tech giants are set to revolutionise weather prediction. But as our climate becomes more extreme, we need to ensure broad public access to their forecasts, says Annalee Newitz

newscientist.com

Anemoi: open-source winds of change in European weather forecasting

By: Prof Hannah Cloke, Department of Meteorology, University of Reading and ECMWF Fellow Earlier this month I opened my inbox to the welcome news that the European Meteorological Society has chosen…

blogs.reading.ac.uk

Rif. 1508 - Bando per 1 posto da ricercatore a tempo determinato tipo A - DIFA - GSD 02/PHYS-05 - SSD PHYS-05/B - BO

bandi.unibo.it

Applying solar wind data assimilation to the WSA coronal model

By: Dr. Harriet Turner The solar wind is a constant stream of charged particles that flows from the Sun and fills the solar system. It is an important aspect of space weather, which is the term we …

blogs.reading.ac.uk

Reconciling Earth’s growing energy imbalance with ocean warming

By: Prof. Richard Allan (Professor of Climate Science) The exceptional global warmth of 2023 and 2024 generated much idle chit chat in Meteorological circles and following a summer Met department c…

blogs.reading.ac.uk

The value of observations for weather prediction in the age of machine learning

By: Prof Sarah Dance (Professor of Data Assimilation) Last week, on 25th February 2025, our colleagues at ECMWF (European Centre for Medium-range Weather Forecasts) took their deep-learning-based g…

blogs.reading.ac.uk

Is climate change shifting the North Pacific jet stream?

By: Dr. Matthew Patterson Wavy bands of fast flowing air, called jet streams, are some of the most recognisable features of the Earth’s atmospheric circulation (figure 1). They have a critical impa…

blogs.reading.ac.uk

Impact of Hydrogen on Atmospheric Composition and Climate

By: Dr. Tanusri Chakraborty As we move toward net-zero and low-carbon emissions, Hydrogen (H₂) is expected to play a crucial role as an alternative energy source. H₂ is considered a clean fuel, as …

blogs.reading.ac.uk

Renewable energy lulls: understanding European weather for when the wind doesn’t blow and the sun doesn’t shine

By: Salim Poovadiyil Weather and climate model data play an increasingly vital role in assessing climate risks within energy system operations and planning. The reliability of these assessments hea…

blogs.reading.ac.uk

Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling I Oral

Subgrid-scale (SGS) parameterizations estimate effects of unresolved processes without modeling them directly and are often a large source of uncertainty in Earth system models (ESMs). The need to imp...

agu.confex.com