C
Chris J. Scott
Researcher at University of Reading
Publications - 75
Citations - 1589
Chris J. Scott is an academic researcher from University of Reading. The author has contributed to research in topics: Solar wind & Space weather. The author has an hindex of 21, co-authored 67 publications receiving 1189 citations.
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Galactic Cosmic Ray Modulation near the Heliospheric Current Sheet
TL;DR: In this paper, the authors categorize HCS crossings in two ways: first, using the change in magnetic polarity, as either away-to-toward (AT) or toward-toaway (TA) magnetic field directions relative to the Sun, and, secondly using the strength of the associated solar wind compression, determined from the observed plasma density enhancement.
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Validation of a priori CME arrival predictions made using real‐time heliospheric imager observations
Kimberley Tucker-Hood,Chris J. Scott,Mathew J. Owens,David Jackson,Luke Barnard,Jackie A. Davies,S. R. Crothers,Chris Lintott,Robert Mark Simpson,Neel Savani,Julia Wilkinson,B. Harder,G. M. Eriksson,Elisabeth Baeten,Lily Lau Wan Wah +14 more
TL;DR: The average error in predicting arrival speed is 151 km s−1, with an average arrival speed of 425km s− 1, and the average transit time of 82.3 h as discussed by the authors.
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Modulation of UK lightning by heliospheric magnetic field polarity
Mathew J. Owens,Chris J. Scott,Mike Lockwood,Luke Barnard,R. G. Harrison,Keri Nicoll,Clare E. J. Watt,Alec Bennett +7 more
TL;DR: In this paper, a two-step mechanism is proposed: lightning rates vary with galactic cosmic ray (GCR) flux incident on Earth, either via changes in atmospheric conductivity and/or direct triggering of lightning.
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Space climate and space weather over the past 400 years: 2. Proxy indicators of geomagnetic storm and substorm
TL;DR: In this article, the authors used the reconstruction of power input to the magnetosphere given in Paper 1 (arXiv:1708.04904) to reconstruct annual means of geomagnetic indices over the past 400 years to within a 1-sigma error of +/- 20pc.
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Ensemble CME Modeling Constrained by Heliospheric Imager Observations
TL;DR: In this article, the authors used a computationally efficient solar wind model to produce 200-member ensemble hindcasts, perturbing the modelled CME parameters within uniform distributions about the best estimates.