On the Considerations of Using Near Real Time Data for Space Weather Hazard Forecasting-Reference-Cited by-同舟云学术

On the Considerations of Using Near Real Time Data for Space Weather Hazard Forecasting

Published:2022-07 Issue:7 Volume:20 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Smith A. W.¹^ORCID,Forsyth C.¹^ORCID,Rae I. J.²^ORCID,Garton T. M.³^ORCID,Jackman C. M.³^ORCID,Bakrania M.¹^ORCID,Shore R. M.⁴^ORCID,Richardson G. S.⁵^ORCID,Beggan C. D.⁵^ORCID,Heyns M. J.⁶^ORCID,Eastwood J. P.⁶^ORCID,Thomson A. W. P.⁵^ORCID,Johnson J. M.⁷⁸

Affiliation:

1. Mullard Space Science Laboratory UCL Dorking UK

2. Department of Mathematics, Physics and Electrical Engineering Northumbria University Newcastle upon Tyne UK

3. School of Cosmic Physics, DIAS Dunsink Observatory Dublin Institute for Advanced Studies Dublin Ireland

4. British Antarctic Survey Cambridge UK

5. British Geological Survey Edinburgh UK

6. Imperial College London London UK

7. Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder CO USA

8. Space Weather Prediction Center National Oceanic and Atmospheric Administration Boulder CO USA

Funder

Natural Environment Research Council

Science Foundation Ireland

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022SW003098

Reference114 articles.

1. Abadi M. Agarwal A. Barham P. Brevdo E. Chen Z. Citro C. et al. (2015).TensorFlow: Large‐Scale machine learning on heterogeneous distributed systems. Retrieved fromwww.tensorflow.org

2. Ionospheric response to the 2015 St. Patrick's Day storm: A global multi-instrumental overview

3. Deep dielectric charging effects due to high-energy electrons in earth's outer magnetosphere

4. Linear prediction filter analysis of relativistic electron properties at 6.6RE

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Employing the Coupled EUHFORIA‐OpenGGCM Model to Predict CME Geoeffectiveness;Space Weather;2024-05

2. Earth’s geomagnetic environment—progress and gaps in understanding, prediction, and impacts;Advances in Space Research;2024-05

3. Design and Optimization of Thin-Walled Main Support Structure for Space Camera Based on Additive Manufacturing;Micromachines;2024-01-30

4. Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations;Space Weather;2023-05-30

5. Solar Wind Data Assimilation in an Operational Context: Use of Near‐Real‐Time Data and the Forecast Value of an L5 Monitor;Space Weather;2023-05