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.
Embed this episode
NOW PLAYING
WeatherBench 2 - A benchmark for the next generation of data-driven global weather models
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.