Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Space Weather Prediction from the Ground: Case of CHAIN

Type de record:

paper
Créateur:
SekUenIsoOts
Hôte:avatar
In this article, we insist on the importance and the challenges of the prediction of solar eruptive phenomena including flares, coronal mass ejections (CME), and filament eruptions fully based on the ground-based telescopes. It is true that satellites' data are indispensable for the space weather prediction, but they are vulnerable to the space weather effects. Therefore, the ground-based telescopes can be complementary to them from the viewpoint of space weather prediction. From this view point, one possible new flare prediction method that makes use of H-alpha, red wings, and blue wings images obtained by the SDDI/SMART, the ground-based telescope at Hida Observatory, is presented. And in order to show the possibility for the actual operation based on that method, the recent progress of CHAIN project, the international observation network, is mentioned in terms of their outcomes and capacity buildings. 12 pages, accepted for publication in Sun and Geosphere

Visit

arxiv.org

Tags

Solar and Stellar Astrophysics

Similaires

A simulation chain for the LAGO Space Weather ProgramUSING LEARNING MACHINES TO CREATE SOLAR RADIATION MAPS FROM NUMERICAL WEATHER PREDICTION MODELS, GROUND MEASUREMENTS AND SATELLITE IMAGESRevisiting Indigenous Biotic and Abiotic Weather Forecasting for Possible Integration with Scientific Weather Prediction: A Case from the Borana People of South EthiopiaPrediction of Ionospheric Disturbance over North Africa Using Machine Learning with Integration of Space and Ground-based GNSS ObservationsLocust breeding ground predictionsottohy/Weather-Prediction

A simulation chain for the LAGO Space Weather Program

We simulate the expected variations of background flux at two particular sites of the Latin American

USING LEARNING MACHINES TO CREATE SOLAR RADIATION MAPS FROM NUMERICAL WEATHER PREDICTION MODELS, GROUND MEASUREMENTS AND SATELLITE IMAGES

International audience This paper describes the first steps given in order to develop

Revisiting Indigenous Biotic and Abiotic Weather Forecasting for Possible Integration with Scientific Weather Prediction: A Case from the Borana People of South Ethiopia

Prediction of Ionospheric Disturbance over North Africa Using Machine Learning with Integration of Space and Ground-based GNSS Observations

Locust breeding ground prediction

Locust breeding ground prediction

Poster presented at the Deep Learning Indaba 2023 by Ibrahim  Salihu Yusuf

sottohy/Weather-Prediction

Regression model for tomorrow's weather in Alexandria, Egypt based on historical weather data # Wea