Research Highlights

Research Highlights

A selection of highlights culled from publications by HAO staff.
Histogram: dayside Swarm neutral density

Quantifying the Impact of Solar Irradiance Uncertainty on Thermosphere-Ionosphere Variability Using Ensemble Forecasts

C.T. Hsu, N.M. Pedatella investigate the sensitivity of the thermosphere and ionosphere to variations in solar spectral irradiance (SDO and SORCE mission data). This work highlights the importance of accounting for uncertainty in external solar energy input in space weather models and demonstrates the value of data-informed ensemble simulations in improving the accuracy and reliability of thermosphere and ionosphere forecasts.

Time-latitude sections for small scale waves

Contribution of Gravity Waves to the Lower Thermospheric Winter-to-summer Meridional Circulation in High-resolution WACCM-X

D. Koshin, N. M. Pedatella, A. K. Smith, and H.-L. Liu analyze the role of gravity waves contributing to winter polar region circulation using output from a high-resolution simulation. In the winter middle atmosphere, gravity waves with eastward phase speeds are generated around the polar vortex and propagate into the lower thermosphere. 

Machine Learning Flowchart

Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction

Matthias Rempel, et. al. introduce a novel, Physics-Informed Machine Learning method to infer the three-dimensional (3D) solar atmospheric structures from observations to advance the understanding of the magnetic fields and electric currents that drive solar activity.

Snapshots of the magnetic field lines & the synthetic SDO/AIA 304 Å images

MHD simulations of CME with associated prominence eruption

Yuhong Fan uses magnetohydrodynamic (MHD) simulations to find the formation of a prominence-cavity system that qualitatively reproduces several observed features including the cavity, the prominence “horns”, and the central “cavity” enclosed in the “horns” above the prominence.

 TIMED/SABER observations

Local Time Variability of Gravity Wave Activity Revealed by SABER Temperature Observations

D. Koshin, N. M. Pedatella, A. K. Smith, and H.-L. Liu investigate diurnal variability in gravity wave activity, which is an indication of the interaction between gravity waves and tides using satellite observations

Two spacecraft of the Proba-3 mission

The ASPIICS solar coronagraph aboard the Proba-3 formation flying mission. Scientific objectives and instrument design

Sarah Gibson, et. al. describe the scientific objectives and instrument design of the ASPIICS coronagraph launched aboard the Proba-3 mission of the European Space Agency (ESA) on 5 December 2024. 

O/N2 measured by TIMED/GUVI and simulated by WACCM-X Case4 and their linear trends

The Long-term Trend of Thermospheric Compositions from Whole Atmospheric Simulation and Satellite Observation

Chih-Ting Hsu, Wenbin Wang, Liying Qian, Ercha Aa, Joe Mclnerney, Shun-Rong Zhang, Yongliang Zhang, Anastasia Newheart, Dong Lin examine the long-term trend of column-integrated atomic oxygen to molecular nitrogen ratio, O/N2, in the upper atmosphere and investigates the cause of this long-term trend in O/N2. 

Zoomed-in burst-envelope forecasts from January 2024 to April 2026

Analysis Of Short-term Solar Activity Variability and Estimating Timings of Next Enhanced Bursts

Juie Shetye and Mausumi Dikpati present a novel machine-learning-based hybrid forecasting strategy for predicting next enhanced burst of solar activity. This hybrid forecast-system combines numerical, statistical, and machine-learning techniques to detect the occurrence of the next bursts of solar activity.

quasi-steady state solution from a global MHD simulation of the solar wind

The Yin-Yang Magnetic Flux Eruption (Yin-Yang-MFE) Code: A Global Corona Magnetohydrodynamic Code with the Yin-Yang grid

Hongyang Luo and Yuhong Fan describe the numerical algorithms of a global magnetohydrodynamic (MHD) code utilizing the Yin-Yang grid, called the Yin-Yang Magnetic Flux Eruption (Yin-Yang-MFE) code, suitable for modeling the large-scale dynamical processes of the solar corona and the solar wind. It is a single-fluid MHD code taking into account the non-adiabatic effects of the solar corona, including the electron heat conduction, optically thin radiative cooling, and empirical coronal heating.