A Benchmark Dataset for AI Weather Models

Author(s): Caroline Arnold

Originally published on Towards AI.

Compare data-driven weather models with WeatherBench
Photo by NOAA on Unsplash

Benchmark datasets are fundamental for machine learning research. They are standardized datasets that are easy to obtain, pre-processed, and cleaned, making them ideal for machine learning.

Data-driven weather forecasting is a very active topic. Research labs, including NVIDIA, DeepMind, and Huawei, are releasing machine learning algorithms that can take it up with established weather forecasting services.

How can these data-driven weather models be compared to each other and to the baseline of “standard” weather forecasting? Benchmark datasets and standardized evaluation could help.

Here, we summarize WeatherBench, a climate and weather modeling benchmark dataset developed by Stephan Rasp et al…. Read the full blog for free on Medium.

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Published via Towards AI