GNSS Differential Code Bias Determination Using Rao‐Blackwellized Particle Filtering by Ben Reid, David R. Themens, Anthony McCaffrey, P. T. Jayachandran, Mainul Hoque, Andrew J. Mazzella Jr.

“…Abstract The Assimilative Canadian High Arctic Ionospheric Model (A‐CHAIM) is a near‐real‐time data assimilation model of the high latitude ionosphere, incorporating measurements from many instruments, including slant Total Electron Content measurements from ground‐based Global Navigation Satellite System (GNSS) receivers. …”
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Case Studies on the Day‐to‐Day Variability in the Occurrence of Post‐Sunset Equatorial Spread F by B. Olugbon, E. O. Oyeyemi, A. Kashcheyev

“…Spectral analysis of Global Positioning System Total Electron Content from multiple ground stations across Nigeria showed the appearance of wave structures, consistent with standing waves, in the ionosphere. The results presented show that standing waves are a possible mechanism for the generation of post‐sunset ESF, even in the absence of the PRE.…”
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Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models by Richard J. Licata, Piyush M. Mehta

“…In response, this work aims to employ a probabilistic machine learning (ML) method to create an efficient surrogate for the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE‐GCM), a physics‐based thermosphere model. …”
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Evaluating Proton Intensities for the SMILE Mission by Simon Mischel, Elena A. Kronberg, C. P. Escoubet

“…This data was then aligned with the Solar wind‐Magnetosphere‐Ionosphere Link Explorer (SMILE) mission's trajectory, to increase model accuracy in the relevant regions. …”
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The Four‐Dimensional Variational Neustrelitz Electron Density Assimilation Model: NEDAM by L. Yuan, M. M. Hoque, Timothy Kodikara

“…Abstract With the development of the Global Navigation Satellite System (GNSS) and regional augmentation systems, the influence of the ionosphere on GNSS signals is becoming increasingly important. …”
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Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite by Dexin Ren, Jiuhou Lei

“…In this study, a physics‐based assimilation system (hereafter referred to as PIDA) that is based on the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model was used to validate the capability of reproducing the evolution of the global thermosphere state. …”
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The Role of Tectonic Plate Thickness and Mantle Conductance in Determining Regional Vulnerability to Extreme Space Weather Events: Possible Enhancement of Magnetic Source Fields by... by Fiona Simpson, Karsten Bahr

“…Abstract During magnetic storms, solar‐magnetosphere‐ionosphere‐Earth interactions give rise to geomagnetically induced currents (GICs) in man‐made technological conductors such as power grids, gas pipelines, and railway networks with potentially damaging outcomes. …”
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Quantification of Representation Error in the Neutral Winds and Ion Drifts Using Data Assimilation by Jiahui Hu, Aurora López Rubio, Alex Chartier, Sarah McDonald, Seebany Datta‐Barua

“…SAMI3 (Sami3 is A Model of the Ionosphere) serves as the background climate model and pseudo‐measurements for the EMPIRE observation system. …”
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Daily Dynamo Electric Fields Derived by Using Equatorial Ionization Anomaly Crests of the Total Electron Content by Ching‐Chung Cheng, Jann‐Yenq Liu, Charles C. H. Lin, Yin‐Chen Cheng

“…Abstract Latitudinal distances between the two equatorial ionization anomaly (EIA) crests in total electron content (TEC) of global ionosphere map (GIM) are used to derive the daily dynamo eastward electric field by comparing the eastward electric field calculated by ROCSAT‐1 vertical ion velocity in four seasons. …”
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Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks by Eun‐Young Ji, Yong‐Jae Moon, Eunsu Park

“…Abstract In this study, we make a model, which is called DeepIRI, to generate improved International Reference Ionosphere (IRI) total electron content (TEC) maps by deep learning based on conditional Generative Adversarial Networks. …”
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Observational Evidence for the Origin of Repetitive Chorus Emissions by Xinliang Gao, Rui Chen, Quanming Lu, Lunjin Chen, Huayue Chen, Xueyi Wang

“…Its repetitive nature directly causes the rapid modulation of pulsating aurora in the upper atmosphere and microburst in the ionosphere, but its origin remains a decades‐old puzzle. …”
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Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT) by Chunming Wang, I. Gary Rosen, Bruce T. Tsurutani, Olga P. Verkhoglyadova, Xing Meng, Anthony J. Mannucci

“…Solar wind is one of the key drivers for numerous physics‐based models for space weather including thermosphere and ionosphere models. Many attempts have been made to produce forecasts for the solar wind. …”
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Daily Plasmaspheric TEC Variations From COSMIC GPS Observations Based on RBF Neural Network‐Kriging Method by Qiqi Shi, Shuanggen Jin, Linlin Li

“…In this paper, a novel joint method of radial basis function neural network—Kriging (RBF‐Kr) method is designed to construct the daily PTEC model using the Constellation Observing System for Meteorology, Ionosphere and Climate Global Positioning System observations during the low (2009) and high (2013) solar activity years. …”
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Assessment of Accuracy of COSMIC and KOMPSAT Radio Occultation Temperature and Pressure by Descalzo Karl Philippe A., Macalalad Ernest P.

“…The aim of this study is to assess the radio occultation temperature and pressure profiles from the Constellation Observing System for Meteorology, Ionosphere and Climate 2 (COSMIC-2) and Korean Multi-purpose Satellite 5 (KOMPSAT5) using data from collocated radiosonde stations over the Philippines. …”
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Assimilating Space‐Based Thermospheric Neutral Density (TND) Data Into the TIE‐GCM Coupled Model During Periods With Low and High Solar Activity by Mona Kosary, Saeed Farzaneh, Maike Schumacher, Ehsan Forootan

“…To introduce the impact of the thermosphere on estimating ionospheric parameters, the outputs of Ne are validated against the radio occultation data. …”
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Investigation of the October effect in very low-frequency (VLF) signals by M. Hansen, D. Banyś, M. Clilverd, D. Wenzel, T. Raita, M. M. Hoque

“…At the D-region height, the ionosphere is mainly ionized by solar Lyman-<span class="inline-formula"><i>α</i></span> radiation. …”
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Long‐Term Variations of Energetic Electrons Scattered by Signals From the North West Cape Transmitter by Jingle Hu, Zheng Xiang, Xin Ma, Yangxizi Liu, Junhu Dong, Deyu Guo, Binbin Ni

“…Abstract Very‐low‐frequency (VLF) signals emitted from ground‐based transmitters for submarine communication can penetrate the ionosphere and leak into the magnetosphere, leading to electron precipitation via wave‐particle interaction and thereby providing a potential means for radiation belt remediation. …”
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Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions by Xu Yang, Libin Weng, Jiuhou Lei, Xiaoqian Zhu, Haibing Ruan, Dexin Ren, Zhongli Li, Ruoxi Li, Liangjie Chen

“…The EOFs of the exospheric temperature can be derived either from satellite data directly or from the outputs of the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) and MSIS models by applying the Principal Component Analysis method. …”
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Climatology of Dayside E‐Region Zonal Neutral Wind Shears From ICON‐MIGHTI Observations by Minjing Li, Yue Deng, Brian J. Harding, Scott England

“…Abstract Large vertical shears in the E‐region neutral zonal winds can lead to ion convergences and contribute to plasma irregularities, but climatological studies of vertical shears of horizontal winds in a global scale are lacking due to the limitations of data coverage. The Ionospheric Connection Explorer (ICON) Michelson Interferometer for Global High‐resolution Thermospheric Imaging (MIGHTI) has provided neutral wind observations with an unprecedented spatial coverage. …”
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Effects of mesoscale gravity waves on sporadic E simulated by a one-dimensional dynamic model by Xu Zhou, ZeZhong Li, XinAn Yue, LiBo Liu

“…In this article, we discuss the effects of mesoscale GWs on the Es layers determined by using a newly developed model, MISE-1D (one-dimensional Model of Ionospheric Sporadic E), with low numerical dissipation and high resolution. …”
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