Results 231 to 240 of about 37,353 (294)

Calibrating Probabilistic Solar‐Wind Forecasts Driven by the Wang‐Sheeley‐Arge Model

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract By spatially perturbing coronal model output within a coupled coronal‐heliospheric model we can generate probabilistic predictions of solar‐wind speed. We apply these spatial perturbations to the Wang‐Sheeley‐Arge (WSA) model output to generate large sets of input conditions for the Heliospheric Upwind eXtrapolation with time dependence (HUXt)
N. O. Edward‐Inatimi   +6 more
wiley   +1 more source

ChiraKit: an online tool for the analysis of circular dichroism spectroscopy data. [PDF]

open access: yesNucleic Acids Res
Burastero O   +6 more
europepmc   +1 more source

Climatology of Equatorial Plasma Bubbles: Role of Gravity Wave Seeding and Ionospheric Preconditioning

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract This study investigates the linkage between mesopause gravity waves and equatorial plasma bubbles (EPBs) from 2012 to 2015 using the collocated nightglow measurements, O2 (762 nm) and OI (630 nm), observed by the Visible and near‐Infrared Spectral Imager onboard the International Space Station under the Ionosphere, Mesosphere, upper Atmosphere,
Min‐Yang Chou   +5 more
wiley   +1 more source

Global Trends in Day‐Night Compound Thermal Extremes in Lakes

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract Lake thermal extremes, both hot and cold, profoundly impact aquatic ecosystems, yet day‐night compound events remain understudied. Using the hourly resolution Global LAke Surface water Temperature (GLAST) data set (1981–2020), we found day‐night compound hot (cold) extreme events in lakes occurred annually at 6.9% (6.9%) frequency, lasted 3.7 (
Yan Tong, Lian Feng, R. Iestyn Woolway
wiley   +1 more source

Deep learning methods for 2D material electronic properties.

open access: yesDigit Discov
Mishchenko A   +5 more
europepmc   +1 more source

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