45 citations · 309 across the 16 of their papers we have counts for
12 papers · 1 filter
CME Propagation Through the Heliosphere: Status and Future of Observations and Model Development
M. Temmer, C. Scolini, I. G. Richardson +31
The ISWAT clusters H1+H2 have a focus on interplanetary space and its characteristics, especially on the large-scale co-rotating and transient structures impacting Earth. SIRs, gen…
SIR-HUXt -- a particle filter data assimilation scheme for assimilating CME time-elongation profiles
Luke Barnard, Mathew Owens, Chris Scott +2
We present the development of SIR-HUXt, the integration of a sequential importance resampling (SIR) data assimilation scheme with the HUXt solar wind model. SIR-HUXt is designed to…
HUXt -- An open source, computationally efficient reduced-physics solar wind model, written in Python
Luke Barnard, Mathew Owens
HUXt is an open source numerical model of the solar wind written in Python. It is based on the solution of the 1D inviscid Burger's equation. This reduced-physics approach produces…
Solar Energetic Particle Ground-Level Enhancements and the Solar Cycle
Mathew Owens, Luke Barnard, Benjamin Pope +3
Severe geomagnetic storms appear to be ordered by the solar cycle in a number of ways. They occur more frequently close to solar maximum and declining phase, are more common in lar…
Drag-based CME modeling with heliospheric images incorporating frontal deformation: ELEvoHI 2.0
J. Hinterreiter, T. Amerstorfer, M. Temmer +7
The evolution and propagation of coronal mass ejections (CMEs) in interplanetary space is still not well understood. As a consequence, accurate arrival time and arrival speed forec…
Why are ELEvoHI CME arrival predictions different if based on STEREO-A or STEREO-B heliospheric imager observations?
Jürgen Hinterreiter, Tanja Amerstorfer, Martin A. Reiss +9
Accurate forecasting of the arrival time and arrival speed of coronal mass ejections (CMEs) is a unsolved problem in space weather research. In this study, a comparison of the pred…
A homogeneous aa index: 1. Secular variation
Mike Lockwood, Aude Chambodut, Luke A. Barnard +3
Originally complied for 1868-1967 and subsequently continued so that it now covers 150 years, the index has become a vital resource for studying space climate change. However,…
Tests of sunspot number sequences: 4. Discontinuities around 1946 in various sunspot number and sunspot group number reconstructions
Mike Lockwood, Mathew J. Owens, Luke A. Barnard
We use 5 test data series to quantify putative discontinuities around 1946 in 5 annual-mean sunspot number or group number sequences. The series tested are: the original and new ve…
Tests of Sunspot Number Sequences: 2. Using Geomagnetic and Auroral Data
Mike Lockwood, Mathew J. Owens, Luke A Barnard +3
We compare four sunspot-number data sequences against geomagnetic and terrestrial auroral observations. The comparisons are made for the original SIDC composite of Wolf-Zurich-Inte…
An Assessment of Sunspot Number Data Composites over 1845-2014
Mike Lockwood, Mathew J. Owens, Luke A. Barnard +1
New sunspot data composites, some of which are radically different in the character of their long-term variation, are evaluated over the interval 1845-2014. The method commonly use…
Tests of Sunspot Number Sequences: 1. Using Ionosonde Data
M. Lockwood, C. J. Scott, M. J. Owens +2
More than 70 years ago it was recognised that ionospheric F2-layer critical frequencies had a strong relationship to sunspot number. Using historic datasets from the Slough…
Tests of sunspot number sequences: 3. Effects of regression procedures on the calibration of historic sunspot data
M. Lockwood, M. J Owens, L. Barnard +1
We use sunspot group observations from the Royal Greenwich Observatory (RGO) to investigate the effects of intercalibrating data from observers with different visual acuities. The…