output
19952026
most citedWeatherBench: A benchmark dataset for data-driven weather forecasting

506 citations

Showing 2022 · physics.ao-phShow all

4 papers · 2 filters

physics.ao-ph2022★ 8 cited

Deep learning for quality control of surface physiographic fields using satellite Earth observations

Tom Kimpson, Margarita Choulga, Matthew Chantry +4

A purposely built deep learning algorithm for the Verification of Earth-System ParametERisation (VESPER) is used to assess recent upgrades of the global physiographic datasets unde…

physics.ao-ph2022

Perspectives on the importance of complex systems in understanding ourclimate and climate change -- The Nobel Prize in Physics 2021

Shraddha Gupta, Nikolaos Mastrantonas, Cristina Masoller +1

The Nobel Prize in Physics 2021 was awarded to Syukuro Manabe, Klaus Hasselmann, and Giorgio Parisi for their 'groundbreaking contributions to our understanding of complex systems'…

physics.ao-ph2022★ 201 cited

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

Lucy Harris, Andrew T. T. McRae, Matthew Chantry +2

Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables. A major contributing factor to this is t…

physics.ao-ph2022★ 33 cited

The Impact of a Reduced High-wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea and the Arctic Ocean

Øyvind Breivik, Ana Carrasco, Hilde Haakenstad +8

As atmospheric models move to higher resolution and resolve smaller scales, the maximum modeled wind speed also tends to increase. Wave models tuned to coarser wind fields tend to…