Results 161 to 170 of about 2,169,079 (262)

Bayesian Convolutional Neural Networks for Uncertainty-Aware Classification of Infrasound Events. [PDF]

Sensors (Basel)
Yin H, Zhang K, Lu Y, Chang Y, Wu Y, Yang F, Li X, Xu J, Pang X.   +8 more
europepmc   +1 more source

Single-Sensor Machine Learning Based Lightning Localization Using Lightning Induced Voltages

In this paper, we employ the XGBoost method for lightning strike localization, utilizing the induced voltage waveform measured at one point of an overhead power distribution line.
Andreotti, Amedeo, Karami, Hamidreza, Rachidi, Farhad, Ravichandran, Nagananthini, Miki, Toru, Rubinstein, Marcos, Rajabi, Siavash, Asadi, Mostafa   +7 more
core  

Pyrodiversity and Phylodiversity: Insights on Post‐Fire Forest Communities

Ecology Letters, Volume 29, Issue 10, October 2026.
Phylogenetic and taxonomic metrics can be useful ways to explore how the reintroduction of fire influences plant community assembly and diversity patterns. We leveraged a dataset of plant community samples collected before and after three fire events, pairing them with the first application of spatial phylogenetic methods at local spatiotemporal scales.
Rebecca C. Wilcox, Becky L. Estes, Brent D. Mishler, Sarah J. Jacobs   +3 more
wiley   +1 more source

Application and Evaluation of a NOAA GFS-Driven Air Quality Model Using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019. [PDF]

J Geophys Res Atmos
Farzad K, Zhang Y, Tong D, Ma S, Tang Y, Huang J, Campbell PC, Pye HOT, Murphy B, Yang F, Baker B, Kang D, Hutzell B, Sarwar G.   +13 more
europepmc   +1 more source

Simulating Regional‐Scale Aerosol Radiative Effects of Wildfire Smoke Using a High‐Resolution Coupled Meteorology‐Chemistry Model: HRRR‐Chem

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 18, 28 September 2026.
Abstract Wildfires are increasing in frequency and intensity, strongly influencing both regional air quality and the Earth's radiation budget via their aerosol emissions. Relying on an unparalleled observational data set from the 2019 NOAA/NASA FIREX‐AQ campaign, this study quantifies the direct radiative effects of two wildfires using the HRRR‐Chem ...
Minsu Choi, Ravan Ahmadov, J. L. Schnell, Johana Romero‐Alvarez, Sudheer Bhimireddy, Haiqin Li, Joshua P. Schwarz, Pedro Campunzano Jost, Hongyu Guo, Jose L. Jimenez, Pawan Gupta, Thomas F. Eck, Philippe Goloub, Olga Kalashnikova, Chuanyu Xu, Fangjun Li, R. Bradley Pierce, Georg A. Grell   +17 more
wiley   +1 more source

Lightning Flash Unveiling Bartonella Endocarditis: An Approach to Diagnosing and Managing Culture-Negative Infective Endocarditis. [PDF]

JACC Case Rep
Habib MB, Mohammed N, AlAasmi S, Alzaeem H, Al-Hijji M.   +4 more
europepmc   +1 more source

Assessment of the Transient Response of Wind Turbine Grounding Systems to Upward Negative Lightning

This paper presents some results of simulation of the resulting ground potential rise (GPR) in wind turbine grounding systems in response to typical current pulses pertinent to upward negative lightning. The analyses consider two different current pulses,
Alipio, Rafael, Rachidi, Farhad, Azadifar, Mohammad, Rubinstein, Marcos   +3 more
core  

Characterization and Meteorological Drivers of Dust Events Over California's Central Valley

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 18, 28 September 2026.
Abstract Dust events in California's Central Valley pose severe risks to public health, regional air quality, and transportation. Yet, the climatology and meteorological drivers of dust events in the region are poorly characterized due to sparse monitoring and limitations of satellite observations.
Precious Ebiendele, Adeyemi A. Adebiyi, John T. Abatzoglou, Karin Ardon‐Dryer, Md. Minhazul Kibria, Cade Hogle   +5 more
wiley   +1 more source

In the pursuit of perfect planning: comparison between Lightning Inverse Planning and GammaPlan Wizard for gamma knife radiosurgery. [PDF]

Radiol Oncol
Goulenko V, Plunkett RJ, Podgorsak MB, Prasad D.   +3 more
europepmc   +1 more source

On the Probability of Thunderstorms Self-triggering Upward Lightning from Tall Towers

This study focuses on the further implementation of the Self-Consistent Leader Inception and Propagation Model -SLIM-to evaluate the probability of thunderstorms to self-trigger upward lightning.
Campos, Francisco Román,, Nova, Diego Rodríguez,, Becerra Garcia, Marley,   +2 more
core