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Quantification of Representation Error in the Neutral Winds and Ion Drifts Using Data Assimilation

  •  3 May 2024

Key Points

  • We analyze the representation error in a data assimilation algorithm for a quiet and a storm day in August 2018 with synthetic data

  • By validating the ion drift outputs with the self-consistent input source, EMPIRE yields smaller errors at low-to-mid latitudes up to ±60°

  • EMPIRE neutral winds have lower errors at low and high latitudes, and at southern mid-latitudes differ from the quiet to storm day

Open access

Revisiting the Ionospheric Disturbances Over Low Latitude Region of China During Super Typhoon Hato

  •  27 April 2024

Key Points

  • Significant ionospheric total electron content increase over low latitude region of China on the day of Hato landfall is not related to typhoon but to the coinciding weak geomagnetic storm

  • Several traveling ionospheric disturbances (TIDs) events are observed in the low latitude region of China during Hato period, but only the concentric TIDs occurred on 22 August 2017 is related to Hato

  • Because the ionosphere is affected by disturbances from above and below, it should be careful to determine the source of disturbances, especially those originating from below

Open access

SWOL2023: Report of Space Weather Observations Throughout Latinoamerica: Filling the Southern Gaps

  •  27 April 2024

Key Points

  • “Space Weather Observations throughout Latinoamerica: Filling the Southern gaps” Workshop, 2–4 October 2023, Ushuaia, Argentina

  • Seventy-eight researchers from Brazil, Chile, Argentina, Colombia, México, Perú, US, and the EU attended to the event

  • There was consensus on the need of strengthening cooperation to intensify interaction between academia and operational service providers

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Issue Information

  •  25 April 2024
Open access

GNSS Differential Code Bias Determination Using Rao‐Blackwellized Particle Filtering

  •  25 April 2024

Key Points

  • Rao-Blackwellized particle filtering is used to solve for GNSS Differential Code Biases (DCBs) in a near-real-time data assimilation model

  • This method produces DCBs with systematic differences when compared to Global Ionospheric Maps, due in part to plasmaspheric effects

  • DCBs determined using Global Ionospheric Maps can cause significant errors in reconstructed electron density when used in data assimilation

Open access

Intersatellite Comparisons of GOES Magnetic Field Measurements

  •  25 April 2024

Key Points

  • GOES-16 magnetic field data have artificial diurnal variations which are larger than in other GOES satellites and which change with season

  • Daily averages of corrected magnetic field of GOES-16/17 match simultaneous data from GOES-13/14/15 nT except for eastward component

  • The corrected GOES-17 data match the GOES-18 data when GOES-17 and GOES-18 are separated by 0.2° of longitude

Open access

Machine Learning Based Modeling of Thermospheric Mass Density

  •  25 April 2024

Key Points

  • Based on observations from Swarm C and machine learning approach we constructed the MBiLE model for predicting thermosphere mass density

  • Despite using only Swarm C data at about 450–500 km altitude, the MBiLE model predictions well with satellite observations within 230–500 km

  • Our MBiLE model exhibits superior altitude generalization, exceeding earlier models based on multivariate least-square-fitting approach

Open access

Even‐Order Harmonic Distortion Observations During Multiple Geomagnetic Disturbances: Investigation From New Zealand

  •  25 April 2024

Key Points

  • A decade of even-order harmonic distortion data are used to investigate the impact of space weather on a power network

  • In New Zealand four key substations containing single phase transformers act as sources of enhanced harmonic distortion

  • The harmonic distortion is found to propagate into the nearby power network over 150–200 km distances, decaying at a rate of −0.0043 %km−1

Open access

Statistical Features of Polar Cap North and South Indices in Response to Interplanetary and Terrestrial Conditions: A Revisit

  •  24 April 2024

Key Points

  • Combined effects of interplanetary magnetic field (IMF) orientation and ionospheric conductivity explain statistical features of polar cap north-polar cap south index pairs (PCN-PCS pairs) in the dawn magnetic local time (MLT) sector

  • For those in the dusk MLT sector, however, ionospheric conductivity effects are dominant over IMF orientation effects

  • PCN-PCS pairs provide local views about the SW-M-I coupling with different efficiencies depending on the MLT location of the stations

Open access

Empirical Models of foF2 and hmF2 Reconstituted by Global Ionosonde and Reanalysis Data and COSMIC Observations

  •  23 April 2024

Key Points

  • The empirical models of foF2 and hmF2 are respectively reconstituted by using ionosonde and reanalysis data, and Constellation Observindg System for Meteorology, Ionosphere, and Climate (COSMIC) observations

  • The empirical foF2 model displays a better performance for capturing foF2 variations compared to the International Reference Ionosphere Consultative Committee on International Radio model

  • The empirical hmF2 model has a different performance at different latitudes affecting by the COSMIC observations

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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

Open access

The Geomagnetic Kp Index and Derived Indices of Geomagnetic Activity

Key Points

  • Production and distribution of nowcast and definitive Kp index and derived products

  • Kp is estimated to have decreased from 1932 to 2020 by one third of a unit due to geomagnetic secular variation

  • Improved agreement between nowcast and definitive Kp since August 2020

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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

Open access

Forecasting Global Ionospheric TEC Using Deep Learning Approach

Key Points

  • The LSTM neural network is adopted to predict the global ionosphere TEC
  • The use of the external solar EUV flux and Dst index is able to improve the prediction performance of the spherical harmonic (SH) coefficients
  • The developed LSTM model performs well during both quiet and storm conditions

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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

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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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Open access

The Geomagnetic Kp Index and Derived Indices of Geomagnetic Activity

Key Points

  • Production and distribution of nowcast and definitive Kp index and derived products

  • Kp is estimated to have decreased from 1932 to 2020 by one third of a unit due to geomagnetic secular variation

  • Improved agreement between nowcast and definitive Kp since August 2020

Open access

Digitized Continuous Magnetic Recordings for the August/September 1859 Storms From London, UK

Key Points

  • Continuous magnetogram traces are available in London, United Kingdom for August and September 1959

  • Serendipitously, two observatories recorded the Carrington flare and the subsequent storm

  • We digitize the archive paper records to produce a correctly timed and scaled digital set of digital values for further analysis

Plain Language Summary

The Carrington storm of September 1859 is one of the largest known geomagnetic storms in the historic record. Two observatories in London were operating at the time and by good fortune both recorded the extreme geomagnetic storm on paper records. These are held at the British Geological Survey and have been made available online as digital images. The next step is to digitally trace over the magnetograms to produce useful digital values. However, scaling the values of digital pixels to International System of Units (SI units) of degrees of angle and nanoTesla is not easy as the original scaling factors are not available. We use a mixture of written reports at the time and notes from the observatory yearbooks to track down plausible scaling factors and to explain the process of digitization of very old records. The data for 10 days covering 25 August to 5 September 1859 are now available for other researchers to use.

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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 Polar Cap (PC) Index: PCS Version Based on Dome‐C Data

Key Points

  • Polar cap (PC) index of unsurpassed relevance based on new Antarctic observatory

  • Consistent definition and description of PC index derivation processes

  • Disclosure of invalid PCS (South) index series

Plain Language Summary

The polar cap (PC) indices are geomagnetic activity indices derived from magnetic variations measured in the central northern and southern polar caps and scaled with solar wind parameters. They quantify the coupling between the solar wind and the magnetosphere providing power to space weather disturbances such as strong electric currents in the polar ionosphere. These currents may in turn generate upper atmosphere heating which may disturb satellite orbits and induce electric currents and voltages in conducting structures at ground level. During the strong events the geomagnetically induced currents can cause power line failures in important subauroral power grids. The geomagnetic disturbance level is conveniently monitored through the PC indices. However, due to the harsh Arctic and Antarctic environments, measurements or transmissions of magnetic data may be impeded. Thus, alternative PC index sources are needed to ensure reliable space weather monitoring. The present work defines and describes an alternative PCS (South) index based on measurements from the Antarctic Dome Concordia observatory to supplement the standard PCS index based on data from Vostok observatory.

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.

Open access

Global Geomagnetic Perturbation Forecasting Using Deep Learning

Key Points

  • Global high-time cadence models for forecasting geomagnetic perturbations are necessary for this technologically driven society

  • We develop a grid-free model that forecasts these perturbations 30 min in the future at any spatial resolution at 1 min cadence

  • The proposed model outperforms/has consistent performance against the state of the practice local (global) high (low) time cadence models

Plain Language Summary

Geomagnetically induced currents (GICs) result due to the interaction of the solar wind with Earth's magnetosphere, and are catastrophic to our technologically dependent society. Since GIC data is proprietary, the time variability of geomagnetic perturbation is used as a proxy, and forecasting these perturbation at high spatial resolution and time cadence is important. In this work we develop a deep learning-based model to forecast these perturbation measurements at arbitrary spatial resolutions and at high time cadence, using only the solar wind measurements. Our model outperforms, or has consistent performance at worse with benchmark models, and hence can provide quick, accurate forecasts at high time cadence across the whole globe.

Open access

The March 1940 Superstorm: Geoelectromagnetic Hazards and Impacts on American Communication and Power Systems

Key Points

  • Extreme geomagnetic field variation realized during the March 1940 storm might have resulted from the interaction of ICMEs

  • Long-line interference in the U.S. occurred during local daytime and in the upper Midwest and East, where surface impedance is high

  • Voltages measured on grounded long lines during the storm exceeded 1-min voltages that would have been induced by the March 1989 storm

Plain Language Summary

On 24 March 1940, a pair of concentrated, and possibly interacting, bursts of solar wind forced an intense magnetic storm on Earth. Geomagnetic field variation during the storm induced high-amplitude geoelectric fields in the solid Earth's conducting interior. These geoelectric fields drove uncontrolled currents in grounded long-wire communication- and electricity-power-transmission systems in the United States and Canada, causing significant operational interference in those systems. This interference was primarily experienced in the upper Midwest and the eastern United States, and many incidents of interference were reported in the popular press. Voltages monitored on several lines were greater than studies estimate would have occurred during the great storm of March 1989. In terms of its impact on communication and power systems, the March 1940 magnetic storm was one of the most significant ever experienced by the United States. Modern communication systems are less dependent on long electrically conducting transmission lines. On the other hand, modern electric-power-transmission systems are more dependent on such lines, and they, thus, might experience interference with the future occurrence of a storm like that of March 1940.

Open access

Space Weather Environment During the SpaceX Starlink Satellite Loss in February 2022

Key Points

  • Geomagnetic storms lead to thermosphere expansion and increase satellite drag

  • National Oceanic and Atmospheric Administration's coupled Whole Atmosphere Model and Ionosphere Plasmasphere Electrodynamics, a physics-based model, captures the enhanced neutral density environment responsible for the Starlink satellite loss event

  • Alerts and warnings based on neutral density predictions during geomagnetic storms are critical for satellite drag estimation

Plain Language Summary

SpaceX Starlink lost 38 of 49 satellites after the launch of Group 4-7 in February 2022 due to enhanced neutral density associated with a geomagnetic storm. Based on observations, forecasts, and numerical simulations from the National Oceanic and Atmospheric Administration Space Weather Prediction Center (SWPC), this study provides a detailed analysis of the space weather conditions and neutral density environment during the event. Simulation results suggest that during this minor to moderate geomagnetic storm, the neutral density enhancement was about 50%–125% increase at altitudes ranging between 200 and 400 km. The operational coupled Whole Atmosphere Model and Ionosphere Plasmasphere Electrodynamics physics-based model demonstrates better performance compared to empirical thermospheric neutral density models, one of which was used by the Starlink team. With an increasing number of satellites in low-Earth orbit, it becomes crucial for SWPC to establish suitable alerts and warnings based on neutral density predictions to provide users guidance for preventing satellite losses due to drag and to aid in collision avoidance calculations.

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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

The Thermosphere Is a Drag: The 2022 Starlink Incident and the Threat of Geomagnetic Storms to Low Earth Orbit Space Operations

Key Points

  • Geomagnetic storms can cause large variations in neutral density and satellite drag, especially at Very Low Earth Orbit altitudes

  • Data assimilative empirical model results and observations during the Starlink event show 20%–30% neutral density enhancements at 210 km

  • Full-physics data assimilative models and real-time measurements of thermospheric conditions can mitigate impacts on low Earth orbit operations

Plain Language Summary

On 03 February 2022, SpaceX launched 49 Starlink satellites into staging orbits at 210 km above sea level prior to raising them to their operational altitudes of 550 km. The pre-launch space weather briefing included no information about an ongoing geomagnetic storm. Excessive atmospheric drag due to the geomagnetic storm resulted in 38 of the satellites re-entering the atmosphere on or about 07 February 2022. We use both models and direct measurements of the atmospheric density during the event to show that density values were enhanced by 20%–30% at the 210 km staging altitude relative to values prior to the geomagnetic storm onset, while they were enhanced 90%–160% at higher altitudes. We recommend improving our ability to model the upper atmospheric response to geomagnetic storms to provide accurate forecasts and actionable “nowcasts” of conditions in low Earth orbit to launch controllers, space traffic managers, and satellite operators.

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