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

506 citations

Showing 2022Show all

6 papers · 1 filter

stat.AP2022★ 5 cited

Parametric post-processing of dual-resolution precipitation forecasts

Marianna Szabó, Estíbaliz Gascón, Sándor Baran

Recently, all major weather centres issue ensemble forecasts which even covering the same domain differ both in the ensemble size and spatial resolution. These two parameters highl…

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…

cs.DC2022

DAOS as HPC Storage, a view from Numerical Weather Prediction

Nicolau Manubens, Tiago Quintino, Simon D. Smart +2

Object storage solutions potentially address long-standing performance issues with POSIX file systems for certain I/O workloads, and new storage technologies offer promising perfor…

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…