Results 141 to 150 of about 47,350 (264)

Robust Machine Learning–Based Ionospheric Delay Grid Modeling for PPP‐RTK Under Sparse Reference Stations and Severe Geomagnetic Disturbance

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid modeling method that finely ...
Linyu He, Weiping Jiang, Hua Chen, Xingyu Zhou, Tianjun Liu, Jie He, Jie Ding   +6 more
wiley   +1 more source

Joint observations by Tianwen-1 and MAVEN: Ushering in a new era of rapid dynamical coupling in the Martian space environment. [PDF]

Innovation (Camb)
Wang Y, Huang S, Lin R, Yuan Z.
europepmc   +1 more source

Cross‐Correlations of Solar Wind Parameters Using Monitoring Spacecraft

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Space weather predictive modeling currently utilizes real‐time data from the spacecraft ACE and DSCOVR, with SOLAR‐1 and IMAP recently online. This study assesses whether DSCOVR solar wind plasma and interplanetary magnetic field (IMF) data exhibit large‐scale discrepancies from the corresponding ACE data, and if so, whether these ...
P. H. Reiff, S. Chepuri, J. Liebenthal, S. Petrinec, S. Schwartz, C. T. Russell   +5 more
wiley   +1 more source

Induced magnetosphere of Mars responds fast to interplanetary magnetic field rotation. [PDF]

Nat Commun
Lin R, Zhou J, Huang S, Yuan Z, Wang Y, Wu H, Jiang K, Xu S, Zou Z, Su Z, Zhang T, Dong Y, Xiong Q, Huang H.   +13 more
europepmc   +1 more source

Robust Short‐Term Forecasting of Thermospheric Density and Orbit Prediction Using an Interpretable iTransformer Model

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Accurate short‐term forecasting of thermospheric mass density is crucial for satellite operations. However, achieving high‐precision predictions remains a significant challenge. In this study, we develop an iTransformer framework that forecasts thermospheric density over the next 24 hr using observations from the preceding 24 hr. Using density
Mingyi Zhang, Xiangguang Meng, Xin Wang, Yueqiang Sun, Qifei Du, Weihua Bai, Peng Hu, Zhiqi Zhou   +7 more
wiley   +1 more source

Delay Correction Method Based on VLF Timing Signal Phase Variation Model. [PDF]

Sensors (Basel)
Ma X, Yan W, Hu Z, Yuan J, Hua Y, Li S.
europepmc   +1 more source

The High‐Latitude Workbox for the Ionosphere (HAWK‐I): A New Toolkit for Real‐Time Specification of the Arctic Ionosphere

Space Weather, Volume 24, Issue 9, September 2026.
Abstract The high‐latitude ionosphere exhibits rapid spatial and temporal variability during geomagnetically active periods, creating persistent challenges for accurate nowcasts. The High‐latitude Workbox for the Ionosphere (HAWK‐I) is a real‐time ionosphere nowcast and specification system designed for operational deployment to address these ...
Patrick Dandenault, Clayton Cantrall, Robert Schaefer, Sebastijan Mrak, Giuseppe Romeo, Lisa Knowles, Cathryn Mitchell, Gary Bust   +7 more
wiley   +1 more source

Miniature Dungey-like cycle at Mars. [PDF]

Nat Commun
Xu S, McFadden JP, Mitchell DL, Luhmann JG, Halekas JS, Hanley KG, Mazelle CX, Espley JR, Curry SM.   +8 more
europepmc   +1 more source

Benchmarking Deep Learning Models for Real‐Time Prediction of Post‐Peak Solar Flare Irradiance Using FISM2 Data

Space Weather, Volume 24, Issue 9, September 2026.
Abstract This study presents a deep learning framework for real‐time prediction of post‐peak solar flare irradiance. The model targets the soft X‐ray band (0.1–0.8 nm) and three extreme ultraviolet (EUV) wavelength bands (9.0–9.9 nm, 13.0–13.9 nm, and 30.0–30.9 nm), and produces forecasts at 1‐min cadence for 3 hr after the flare peak.
Jeong‐Heon Kim, Junmu Youn, Sung‐Hong Park, Seungwoo Ahn, Young‐Sil Kwak, Yong‐Jae Moon, P. C. Chamberlin   +6 more
wiley   +1 more source

Ionospheric and Neutrosphere Impacts on Multi-GNSS Kinematic PPP During Geomagnetic Storms: A Global Study. [PDF]

Sensors (Basel)
Zaupa JPV, De Souza FTL, Ferreira LG, Yamashiro HY, Gouveia TAF, Alves DBM, Monico JFG, Pereira VAS, Setti PT.   +8 more
europepmc   +1 more source