ML4WX

Global medium-range NWP

Artificial Intelligence May Be Key to Better Weather Forecasts

Sid‐Ahmed Boukabara, Vladimir M. Krasnopolsky, Jebb Q. Stewart, Stephen Gregory Penny, Ross N. Hoffman, Eric S. Maddy

Eos ·

Paper

In one sentence. Perspective piece arguing that machine learning could turn weather data into faster, more accurate and more detailed forecasts.

Abstract

Recent advances in machine learning hold great potential for converting a deluge of data into weather forecasts that are fast, accurate, and detailed.

Labels

Topic
Global medium-range NWP
Type
Position or perspective paper
Domain
Global
Status
Research
Identifiers
DOI:10.1029/2019eo129967 OpenAlex:W2965850099
Added
2026-10-22

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