WeatherBench 2 - A benchmark for the next generation of data-driven global weather models episode artwork

EPISODE · Jan 29, 2025 · 25 MIN

WeatherBench 2 - A benchmark for the next generation of data-driven global weather models

from Earthly Machine Learning · host Amirpasha

DOI:https://doi.org/10.48550/arXiv.2308.15560Abstract: WeatherBench 2 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling. WeatherBench 2 consists of an open-source evaluation framework, publicly available training, ground truth and baseline data as well as a continuously updated website with the latest metrics and state-of-the-art model... Citation: Rasp, Stephan, et al. "WeatherBench 2: A benchmark for the next generation of data‐driven global weather models." Journal of Advances in Modeling Earth Systems 16.6 (2024): e2023MS004019.

Episode metadata supplied by the publisher feed · Published Jan 29, 2025

Embed this episode

NOW PLAYING

WeatherBench 2 - A benchmark for the next generation of data-driven global weather models

0:00 25:34

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Earthly Machine Learning?

This episode is 25 minutes long.

When was this Earthly Machine Learning episode published?

This episode was published on January 29, 2025.

Can I download this Earthly Machine Learning episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!