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Issue Information

  •  2 September 2021
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Issue Information

  •  25 August 2021
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PreMevE Update: Forecasting Ultra‐Relativistic Electrons Inside Earth's Outer Radiation Belt

  •  25 August 2021

Key Points

  • Machine-learning based PREdictive MEV Electron (PreMevE) model is extended to predict ultra-relativistic electron flux distributions during megaelectron-volt (MeV) electron events

  • This new PreMevE-2E model makes reliable 1- and 2-day ensemble forecasts of ≥2 MeV electrons inside Earth's outer radiation belt

  • Nonlinear components play a major role in this new model at small L-shells (<∼4) in contrast to previous PreMevE for 1 MeV electrons

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Magnetic Signatures of Ionospheric Disturbance Dynamo for CME and HSSWs Generated Storms

  •  23 August 2021

Key Points

  • A least-square fitting method has been used to evaluate the magnetic signatures disturbance dynamo electric fields

  • Differences in the magnetic signatures of CME and high-speed solar wind streams generated magnetic storms are identified

  • We have analyzed disturbance dynamo in three different longitudinal sectors, as affected by seasonal and longitudinal variations

Open access

Worst‐Case Severe Environments for Surface Charging Observed at LANL Satellites as Dependent on Solar Wind and Geomagnetic Conditions

  •  21 August 2021

Key Points

  • Presence, not magnitude, of substorm activity (as Auroral Electrojet/Auroral Lower index) is the strongest characteristics for severe environments for surface charging

  • Occurrence of even a moderate storm is not necessary for severe environments for surface charging to occur

  • Solar wind velocity and its magnitude are the direct indicator for the highest risk of severe environments for surface charging

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Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period

  •  18 August 2021

Key Points

  • We developed a new long short-term memory (LSTM) specialized for geomagnetic storm periods by training examples of past geomagnetic storm events

  • Our LSTM storm model improves performance for foF2 by about 32%, 34%, and 37% compared to the LSTM quiet, SAMI2, and IRI-2016 models

  • We propose that the prediction model less than 3 h using the deep-learning method can effectively forecast the ionosphere state

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Geomagnetic Storm Occurrence and Their Relation With Solar Cycle Phases

  •  18 August 2021

Key Points

  • Geomagnetic storms are characterized by solar cycle (SC) and phases using a log-normal distribution fitted using maximum likelihood method

  • SC24 behaved similarly to the minimum phase of the past five SCs in terms of the intensity of the storms that occurred

  • Descending phase characteristic lognormal coefficient correlates with the following maximum phase and may predict strength of SC25

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Frequency Considerations in GIC Applications

  •  11 August 2021

Key Points

  • Study of spectral content and sampling rate of geophysical and power network data is presented

  • Analysis is based on geomagnetic and power network data recorded during the geomagnetic storms of March 31, 2001 and July 26–27, 2004

  • Recommendations on sampling rate, and other results related to the GIC applications, are provided

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Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms

  •  10 August 2021

Key Points

  • Wavelet analysis of spatial and temporal magnetic variation during large geomagnetic storms

  • Network correlation analysis of coherently induced currents form long-range connections across the high voltage grid

  • Network connections indicate a time-localized coherent response to the electrojet and are a proxy for geomagnetically induced currents

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Forecasting the Probability of Large Rates of Change of the Geomagnetic Field in the UK: Timescales, Horizons, and Thresholds

  •  10 August 2021

Key Points

  • Three neural network variants can use solar wind inputs to provide skillful and reliable probabilistic forecasts of large dB/dt in the UK

  • The forecast skill/reliability increases with forecast horizon, maximizing at a horizon of 180 min

  • Increasing the volume of input solar wind input data without increasing the model complexity does not boost performance

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Real‐time monitoring of ionosphere VTEC using Multi‐GNSS carrier‐phase observations and B‐splines

  •  25 September 2021

Key Points

  • A new real-time approach estimating simultaneously coefficients of the B-spline representation and biases of carrier-phases was introduced

  • Carrier-phase observations from GPS, GLONASS, and GALILEO were incorporated into an adaptive Kalman filter

  • GNSS observations were obtained in RTCM format via the IGS real-time service

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Drag‐based CME modeling with heliospheric images incorporating frontal deformation: ELEvoHI 2.0

  •  22 September 2021

Key Points

  • The implementation of a deformable front based on ELEvoHI for three different ambient solar winds models is presented

  • The parameters influencing the propagation of the CME are studied in detail

  • For all the three ambient solar wind models the deformable front provides better model results than the elliptical front

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Solar Origins of 26th August 2018 Geomagnetic Storm: Responses of the Interplanetary Medium and Equatorial/low‐latitude Ionosphere to the Storm

  •  17 September 2021

Key Points

  • 26th August, 2018 geomagnetic storm was initiated by a solar filament eruption of 20th August, 2018

  • On the whole, this storm was driven by an aggregation of CME transients and CIR/HSSs

  • The resultant ionospheric electric field and PPEF was too week during the storm to support a super-fountain effect

Open access

Development and Validation of Precipitation Enhanced Densities for the Empirical Canadian High Arctic Ionospheric Model (E‐CHAIM)

  •  12 September 2021

Key Points

  • Satellite UVI measurements are used to develop a precipitation component for the E-CHAIM model for high latitude ionosphere density

  • Comparisons with incoherent scatter radar measurements reveal significant improvement in density representation at 95-200 km altitude

  • Precipitation enhanced densities are most sensitive to errors in satellite UVI data and selected electron energy spectrum

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Historical reconstruction of astronaut cancer risk – context for recent solar minima

  •  12 September 2021

Key Points

  • Low energy ions are highly sensitive to solar modulation but have a small impact on human exposure and risk behind shielding

  • When extreme solar minimum environments were analyzed, human exposures vary by at most +10% across all solar minima in the last 270 years

  • Observed variation (+10%) is small, especially compared to dominant uncertainties in NASAs cancer risk model

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Open issues in statistical forecasting of solar proton events: a Machine Learning perspective

  •  9 September 2021

Key Points

  • We reinterpret the ESPERTA model in the framework of machine learning, apply rare events corrections and perform a suitable cross validation

  • We obtain a good performance, especially for central and well-connected events

  • We find that the FAR depends on the ratio between the SPE and non-SPE flares, which has to be considered in the validation

Open access

Reconstructing the dynamics of the outer electron radiation belt by means of the standard and ensemble Kalman filter with the VERB‐3D code

  •  21 August 2021

Key Points

  • We verify the convergence of the EnKF to the optimal state estimate given by KF

  • We develop, test, and successfully implement two new three-dimensional EnKF approaches that account for radial and local diffusion

  • We assimilate Van Allen Probes and GOES data, and compare different EnKF techniques in terms of the time evolution of PSD radial profiles

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Geomagnetically Induced Currents at Middle Latitudes: 1. Quiet‐time Variability

  •  19 August 2021

Key Points

  • Variability in quiet-time GICs at middle latitudes follows a semi-diurnal and annual cycle

  • Middle-latitude GIC observations are sensitive to quiet-time magnetic perturbations associated with the Sq current

  • GIC quiet-day curves provide a robust baseline for significance analysis of GICs during geomagnetically disturbed times

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Observations from NOAA's Newest Solar Proton Sensor

  •  17 July 2021

Key Points

  • This paper includes a comprehensive description of SGPS observations.

  • An overview of the September 2017 solar particle event observations is presented.

  • Results from Cross calibrations with GOES-13 and -15 Energetic Particle Sensors are also included.

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A Method for Calculating Atmospheric Radiation Produced by Relativistic Electron Precipitation

  •  17 May 2021

Key Points

  • We report a lookup table of atmospheric radiation production between ground and low-Earth-orbit by monoenergetic precipitation electrons

  • We explain how this lookup table can be utilized for rapid specification of radiation production by arbitrary precipitation energy spectrum

  • We validate this lookup table by comparing with balloon measurements of X-ray spectrum in stratosphere during radiation belt precipitation

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International Reference Ionosphere 2016: From ionospheric climate to real‐time weather predictions

Key Points

  • New models for the F2 peak height hmF2 in IRI-2016
  • Development of the Real-Time International Reference Ionosphere (IRI)
  • Improved description of IRI ion composition at low and high solar activities

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The 10.7 cm solar radio flux (F10.7)

Key Points

  • To provide a source point for user information about the 10.cm solar radio flux
  • How it's measured and how accurate it is
  • Cautionary information about how it should be used

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The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting

Key Points

  • Machine learning (ML) has enabled advances in industrial applications; space weather researchers are adopting and adapting ML techniques
  • This introduction to machine learning concepts is tailored for the Space Weather community, but applicable to many other communities
  • This introduction describes forecasting opportunities in a gray-box paradigm that combines physics-based and machine learning approaches

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Geomagnetically induced currents: Science, engineering, and applications readiness

Key Points

  • We provide a broad overview of the status of the GIC field
  • We utilize the Applications Readiness Levels (ARL) concept to quantify the maturity of our GIC-related modeling and applications
  • This paper is the high-level report of the NASA Living With a Star GIC Working Group findings

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Measures of Model Performance Based On the Log Accuracy Ratio

Key Points

  • The median symmetric accuracy and symmetric signed percentage bias are introduced to address some drawbacks of current metrics
  • The spread of a multiplicative linear model can be robustly estimated using the log accuracy ratio
  • The properties of the median symmetric accuracy and the symmetric signed percentage bias are demonstrated on radiation belt examples

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On the probability of occurrence of extreme space weather events

Key Points

  • Probability of a Carrington event occurring over next decade is ~12%

  • Space physics datasets often display a power-law distribution

  • Power-law distribution can be exploited to predict extreme events

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Magnetohydrodynamic simulation of interplanetary propagation of multiple coronal mass ejections with internal magnetic flux rope (SUSANOO‐CME)

Key Points

  • A model to inject multiple CMEs into a 3-D MHD simulation of the inner heliosphere is developed
  • Halloween storms are simulated to test the arrival times and southward Bz of magnetic clouds
  • A complex time profile of the solar wind could be understood by the interaction of CMEs

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Variability and predictability of the space environment as related to lower atmosphere forcing

Key Points

  • Review the role of waves from lower atmosphere in thermosphere/ionosphere (TI) variability
  • Elucidate how predictability of the TI is affected by the lower atmosphere
  • Highlight outstanding questions in studying lower/upper atmosphere coupling

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A 21st Century View of the March 1989 Magnetic Storm

Key Points

  • The extreme space weather conditions in March 1989 were the result of successive CMEs
  • A secondary CME (resulting from a less intense flare) was the “trigger” for the extreme event
  • The Hydro-Québec system collapse occurred well before Dst reached its extreme value

Open access

The Great Storm of May 1921: An Exemplar of a Dangerous Space Weather Event

Key Points

  • A review of scientific papers, newspapers, and other reports is used to build a timeline of the great geomagnetic storm of May 1921
  • The first part of the storm created conditions that enabled later activity to cause some of the most severe geoelectric fields on record
  • This timeline adds to the knowledge we can use to develop the scenarios needed to plan mitigation of future severe space weather

Plain Language Summary

The severe space weather event of 13-16 May 1921 produced some spectacular technological impacts, in some cases causing destructive fires. It was characterized by extreme solar and geomagnetic variations, and spectacular aurora, recorded at many locations around the world. A wealth of information is available in scientific journals, newspapers, and other sources, enabling us to reconstruct the storm timeline. This shows that a series of major coronal mass ejections (CMEs) bombarded Earth in May 1921. The first pair may have prepared the way for latter intense activity, clearing density from the region between Sun and Earth, and energizing Earth's magnetosphere. Thus, a subsequent CME could travel more quickly and drive even more energy into the already active magnetosphere. This CME arrived late on 14 May, driving very intense activity early on 15 May, and leading to the spectacular technological effects. However, some effects, attributed at the time to space weather, were probably coincidental with the storm, and due to more prosaic faults. The timeline of the 1921 event, including the confusion caused by prosaic faults, can be used to construct scenarios for use today by those emergency managers planning how to reduce the adverse impacts of future space weather events.

Open access

Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars

Key Points

  • Space missions to Mars should be scheduled to be launched during solar max

  • Optimal spacecraft shielding is ~30 g/cm2, which allows long-duration flights of ~4 years

  • Increase of shielding thickness beyond ~30 g/cm2 results in dose increase

Plain Language Summary

Space particle radiation is one of the main concerns in planning long-term human space missions. There are two main types of hazardous particle radiation: (a) solar energetic particles (SEP) originating from the Sun and (b) galactic cosmic rays (GCR) that come from the distant galaxies in space. Fluxes in particles of solar origin maximize during solar maximum when particles originating from the distant galaxies are more efficiently deflected from the solar system during times when the sun is active. Our calculations clearly demonstrate that the best time for launching a human space flight to Mars is during the solar maximum, as it is possible to shield from SEP particles. Our simulations show that an increase in shielding creates an increase in secondary radiation produced by the most energetic GCR, which results in a higher dose, introducing a limit to a mission duration. We estimate that a potential mission to Mars should not exceed approximately 4 years. This study shows that while space radiation imposes strict limitations and presents technological difficulties for the human mission to Mars, such a mission is still viable.

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The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting

Key Points

  • Machine learning (ML) has enabled advances in industrial applications; space weather researchers are adopting and adapting ML techniques
  • This introduction to machine learning concepts is tailored for the Space Weather community, but applicable to many other communities
  • This introduction describes forecasting opportunities in a gray-box paradigm that combines physics-based and machine learning approaches

Plain Language Summary

In the last decade, machine learning has achieved unforeseen results in industrial applications. In particular, the combination of massive data sets and computing with specialized processors (graphics processing units, or GPUs) can perform as well or better than humans in tasks like image classification and game playing. Space weather is a discipline that lives between academia and industry, given the relevant physical effects on satellites and power grids in a variety of applications, and the field therefore stands to benefit from the advances made in industrial applications. Today, machine learning poses both a challenge and an opportunity for the space weather community. The challenge is that the current data science revolution has not been fully embraced, possibly because space physicists remain skeptical of the gains achievable with machine learning. If the community can master the relevant technical skills, they should be able to appreciate what is possible within a few years time and what is possible within a decade. The clearest opportunity lies in creating space weather forecasting models that can respond in real time and that are built on both physics predictions and on observed data.

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Temporal and Spatial Evolutions of a Large Sunspot Group and Great Auroral Storms Around the Carrington Event in 1859

Key Points

  • Original sunspot drawings during the 1859 storms are revealed and analyzed
  • New auroral reports from Eurasia and Oceania fill the spatial and temporal gaps of the auroral visibility during the 1859 storms
  • The 1859 storms are compared and contextualized with the other extreme space weather events

Plain Language Summary

The Carrington event is considered to be one of the most extreme space weather events in observational history. In this article, we have studied the temporal and spatial evolutions of the source active region and visual low-latitude aurorae. We have also compared this storm with other extreme space weather events on the basis of the spatial evolution. We have compared the available sunspot drawings to reconstruct the morphology and evolution of sunspot groups at that time. We have surveyed visual auroral reports in the Russian Empire, Ireland, Iberian Peninsula, Oceania, and Japan and fill the spatial gap of auroral visibility and revised its time series. We have compared this time series with magnetic measurements and shown the correspondence between low-latitude to midlatitude aurorae and the phase of magnetic storms. We have compared the spatial evolution of the auroral oval with those of other extreme space weather events in 1872, 1909, 1921, and 1989 as well as their storm intensity and concluded that the Carrington event is one of the most extreme space weather events but is likely not unique.

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The 10.7 cm solar radio flux (F10.7)

Key Points

  • To provide a source point for user information about the 10.cm solar radio flux
  • How it's measured and how accurate it is
  • Cautionary information about how it should be used

Open access

Intensity and Impact of the New York Railroad Superstorm of May 1921

Key Points

  • The magnetic storm of May 1921 attained a maximum −Dst of 907 ± 132 nT
  • Low-latitude geomagnetic disturbance exhibited extreme local time asymmetry
  • Anecdotal evidence from impacts across New York State underscores importance of recent research on geomagnetically induced currents

Plain Language Summary

Historical records of ground-level geomagnetic disturbance are analyzed for the magnetic superstorm of May 1921. This storm was almost certainly driven by a series of interplanetary coronal mass ejections of plasma from an active region on the Sun. The May 1921 storm was one of the most intense ever recorded by ground-level magnetometers. It exhibited violent levels of geomagnetic disturbance, caused widespread interference to telephone and telegraph systems in New York City and State, and brought spectacular aurorae to the nighttime sky. Results inform modern projects for assessing and mitigating the effects of magnetic storms that might occur in the future.

Open access

Numerical Simulations of the Geospace Response to the Arrival of an Idealized Perfect Interplanetary Coronal Mass Ejection

Key Points

  • A “perfect” ICME arrival at Earth is simulated using the Space Weather Modeling Framework

  • Predicted surface dB/dt surpasses 30 nT/s above 45° latitude and 290 nT/s at local noon and 65° latitude

  • Simulated response surpasses that of historically recorded extreme events, advancing our understanding of a space weather worst-case scenario

Plain Language Summary

Space weather can induce strong currents through the power grid, damaging and disabling the network. Previous work produced idealized estimates of the worst-case-scenario space weather event and its impact on Earth. This study uses state-of-the-art computer models to further investigate the worst-case-scenario space weather storm and the effects on the Earth's surface. The rate of change of the magnetic field, a proxy for the induced current, is calculated. The previous work only considered the equatorial region; at mid and high latitudes, it is now found that the rate of change of the magnetic field can exceed the equatorial values by a factor of 10 or more. The latitude and longitude about the globe most strongly affected by such a storm is also investigated. This result exceeds values observed during historic extreme events, including the March 1989 event that brought down the Hydro-Québec power grid in eastern Canada.

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The May 1967 great storm and radio disruption event: Extreme space weather and extraordinary responses

Key Points

  • The 23-27 May 1967 event was a “Great” solar and geospace storm
  • First Air Force Solar Forecasting Unit partially mitigated the impacts of extreme solar radio bursts on U.S. military
  • The storm led to military recognition of space environment effects as an operational concern and helped establish a forecasting system

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On the Little‐Known Consequences of the 4 August 1972 Ultra‐Fast Coronal Mass Ejecta: Facts, Commentary, and Call to Action

Key Points

  • The 4 August 1972 flare, shock, and geomagnetic storm are components of a Carrington-class event
  • The event was associated with a nearly instantaneous, unintended detonation of dozens of sea mines near Hai Phong, North Vietnam
  • The entire series of events in August 1972 should be viewed as a grand challenge to current-day space weather models

Plain Language Summary

The extreme space weather events of early August 1972 had significant impact on the U.S. Navy, which have not been widely reported. These effects, long buried in the Vietnam War archives, add credence to the severity of the storm: a nearly instantaneous, unintended detonation of dozens of sea mines south of Hai Phong, North Vietnam on 4 August 1972. This event occurred near the end of the Vietnam War. The U.S. Navy attributed the dramatic event to magnetic perturbations of solar storms. In researching these events we determined that the widespread electric- and communication-grid disturbances that plagued North America and the disturbances in southeast Asia late on 4 August likely resulted from propagation of major eruptive activity from the Sun to the Earth. The activity fits the description of a Carrington-class storm minus the low-latitude aurora reported in 1859. We provide insight into the solar, geophysical, and military circumstances of this extraordinary situation. In our view this storm deserves a scientific revisit as a grand challenge for the space weather community, as it provides space-age terrestrial observations of what was likely a Carrington-class storm.

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