Work

Application of AI in Atmospheric Science

Year: 2022

Type: article

Abstract: Model-driven approaches that use numerical simulations with observation data as initial input parameters have been mainly used in forecasting weather phenomena. On the other hand, in the recent AI boom, research on data-driven approaches that replace some of these approaches with machine learning has been actively conducted. In this presentation, I will discuss the integration of numerical simulation and machine learning in weather forecasting, and also introduce the activities to improve the accuracy of typhoon forecasting through holding a data analysis competition.

Source: The Proceedings of Mechanical Engineering Congress Japan

DOI: 10.1299/jsmemecj.2022.w052-02

Author: Daisuke MATSUOKA

Institution: Japan Agency for Marine-Earth Science and Technology

Language: English

Topic: Meteorological Phenomena and Simulations

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: diamond

OpenAlex ID: W4360896156

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