Results 51 to 60 of about 144 (135)
Abstract Global ionospheric mapping is essential for ionospheric research. However, conventional approaches often struggle to accurately capture small‐scale ionospheric variations. This study proposes a deep ensemble method based on neural networks (NNs) that generates high‐accuracy global vertical total electron content (VTEC) maps along with ...
Shuyin Mao +6 more
wiley +1 more source
Physics-Aware Hybrid CNN–Transformer Network for GNSS-R Sea Surface Wind Speed Estimation
Global Navigation Satellite System Reflectometry (GNSS-R) provides a promising approach for global ocean wind monitoring with high temporal resolution.
Baiwei An +4 more
doaj +1 more source
Working model illustrates the effects of GMF, HMF, and rGMF on aNSC proliferation. HMF suppresses the proliferation of aNSCs by reducing the phosphorylation of GSK 3β, thereby increasing its activity. Conversely, rGMF compensates for this suppression by activating mTOR via increased mTOR phosphorylation. ABSTRACT Exposure to hypomagnetic field (HMF) of
Jie Ren +4 more
wiley +1 more source
Tropical Cyclone Surface Winds From Aircraft With a Neural Network
Abstract Estimates of the surface wind field in a tropical cyclone (TC) are required in real time by operational forecast centers to warn the public about potential impacts to life and property. In‐situ aircraft data must be adjusted from flight level to surface using wind reductions (WRs) since the aircraft cannot fly too low due to safety concerns ...
Alexander J. DesRosiers +5 more
wiley +1 more source
Abstract Wind at the water‐air interface is an important driver of hydrologic and biogeochemical processes in lakes. Satellite synthetic aperture radar (SAR) is commonly used over the ocean to retrieve wind fields using backscatter coefficients which are sensitive to wind‐driven surface water roughness; however, its application to lakes has been ...
Katie A. McQuillan +4 more
wiley +1 more source
Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON
TRITON is a newly launched GNSS-Reflectometry (GNSS-R) satellite mission by Taiwan, designed to enhance global sea surface wind monitoring. Among its scientific objectives, TRITON delivers high-resolution Delay Doppler Map (DDM) observations that enable ...
Ming-Yi Chen +5 more
doaj +1 more source
Abstract As global warming continues, the Earth's cryosphere is experiencing severe degradation. This study leverages a novel combination of distributed acoustic sensing (DAS) and artificial intelligence to monitor and decipher cryospheric dynamics. We have developed an advanced time‐lapse surface wave analysis workflow to capture shear wave velocity ...
Haoyuan Sun +5 more
wiley +1 more source
Exploring the Characteristics of Ocean Surface Winds at High Resolution With Doppler Scatterometry
Abstract Ocean wind plays a fundamental role in the Earth's climate system by transporting heat, moisture, and gases globally while mediating their exchange with the ocean. How, and at what scales these processes occur is an active area of research, and modeling studies suggest that the strongest vertical transport and air‐sea exchanges occur at small ...
Alexander Wineteer +6 more
wiley +1 more source
Wind Speed‐Up in Wind Farm Wakes Quantified From Satellite SAR and Mesoscale Modeling
ABSTRACT Satellite synthetic aperture radar (SAR) provides ocean surface wind fields at 10 m above sea level. The objective is to investigate the capability of SAR satellite StriX observations for mapping offshore wind farm wakes. The focus is on the conditions under which an apparent wind speed‐up is generated, measured in 48% of the 67 images ...
Charlotte Bay Hasager +5 more
wiley +1 more source

