Results 161 to 170 of about 49,766 (339)

Advanced gas-microphysics

open access: yes
This chapter contains the description of a miscellanea of microphysical processes incorporated in most numerical codes for studying the thermal and dynamical properties of the interstellar medium. They include the expressions of the ambipolar, Hall, and Ohm resistivities of a weakly ionized gas; the formulae to compute the internal energy and adiabatic
openaire   +2 more sources

Origin of Late Noachian‐Early Hesperian Valley Networks on Mars: Insights From Landform Evolution and Ice Sheet Modeling

open access: yesJournal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract Dendritic valley networks on Mars have been cited as evidence for a warm and wet Noachian Mars, permitting rainfall precipitation and surface runoff. However, the climatic conditions required to sustain rainfall on early Mars remain debated.
K. R. Karpenko   +7 more
wiley   +1 more source

Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in-situ andremote sensing

open access: gold, 2016
Alexandra Tsekeri   +14 more
openalex   +1 more source

The Impact of the Sulfur Allotropes and Sulfur Hydrides on the Venus Cloud Chemistry

open access: yesJournal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract Venus is home to vivid sulfur chemistry, with SO2 ${\text{SO}}_{2}$ as the major sulfur gas species and a global cloud layer between 47 and 70 km composed of H2SO4 ${\mathrm{H}}_{2}{\text{SO}}_{4}$ and H2 ${\mathrm{H}}_{2}$O. The chemistry in the clouds has been extensively studied with 1D models, but none is able to reproduce the three orders
Maxence Lefèvre   +6 more
wiley   +1 more source

Long-Term Impact of Urban Areas on Meteorological Conditions Over Central Europe. [PDF]

open access: yesAnn N Y Acad Sci
Villalba-Pradas A   +4 more
europepmc   +1 more source

Exploring Ways to Reduce Biases in a Hybrid Global Climate Model With Machine‐Learned Moist Physics

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract In a previous study (Han et al., 2023, https://doi.org/10.1029/2022ms003508), we implemented a deep convolutional residual neural network for moist physics into the 3‐D real‐geography CAM5 and carried out a stable multi‐year integration successfully. However, the simulation has large temperature and moisture biases in high latitude troposphere
Yilun Han, Guang J. Zhang, Yong Wang
wiley   +1 more source

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