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2 clusters · 5 sources · 2 days · First seen · Last updated

NASA space weather prediction advancements

Overview

NASA and associated researchers are advancing technologies to predict space weather and solar activity. Efforts include the development of the DAPHNE (Dynamic Atmosphere-Ionosphere Explorer) mission, which has entered Phase B to study interactions between Earth’s lower atmosphere and solar energy using two coordinated satellites.

In parallel, researchers from NASA, the New Jersey Institute of Technology, and Princeton University are developing artificial intelligence models to anticipate solar storms. One such model, known as EarlyDetect, utilizes data from the Solar Dynamics Observatory to identify changes in magnetic fields and acoustic waves. This AI can anticipate the emergence of solar active regions—which drive flares and coronal mass ejections—by approximately nine hours.

While these developments aim to protect satellite communications, GPS, and electrical grids, the AI technology is not yet ready for real-time operational use due to limitations such as false alarms and the inability to guarantee if an active region will result in a major eruption.

Entities

Princeton University · Ames Research Center · NASA · New Jersey Institute of Technology

Timeline

  1. 10 days ago

    [TECHNOLOGY] 2 sources
    NASA and NJIT researchers develop AI to predict solar storms

    A new AI model called EarlyDetect can anticipate the formation of solar active regions by up to nine hours, potentially improving warnings for solar storms that threaten satellites and power grids.

  2. 12 days ago

    [TECHNOLOGY] 3 sources
    NASA advances space weather prediction via new mission and AI

    NASA is enhancing space weather prediction through the DAPHNE satellite mission and a new AI model capable of forecasting solar active regions up to 12 hours in advance.

Sources

archyworldys.com · eospso.nasa.gov · inversion.es · m.olhardigital.uol.com.br · twilightxcavern.wordpress.com