Results 121 to 130 of about 3,504 (247)

Dust storms: Hidden drivers of extreme rainfall and global precipitation shifts. [PDF]

Sci Adv
Liu Y, Tang W, Shao T, Luo R, Tan Z, Li D, Huang J.   +6 more
europepmc   +1 more source

Grain Size and Fluid Effects on the Frictional Behavior of Simulated Carbonate Fault Gouge

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Carbonate rocks exhibit a span of clast and grain size in fault zones. However, the effect of grain size distribution on the frictional behavior of carbonate faults and its implications for natural and induced seismicity remain poorly understood.
Entela Kane, Anne M. H. Pluymakers, André R. Niemeijer   +2 more
wiley   +1 more source

Vertical motions in clouds from EarthCare satellite and a global storm-resolving modeling. [PDF]

Sci Rep
Roh W, Satoh M, Matsugishi S, Aoki S, Kubota T, Okamoto H.   +5 more
europepmc   +1 more source

Multi‐Model Ensemble Knowledge Distillation With Physics Constraints for Numerical Weather Prediction Bias Correction

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate Numerical Weather Prediction (NWP) is of paramount importance for global climate change response and sustainable development. Although numerical models such as the Weather Research and Forecasting (WRF) model are widely applied in operational forecasting, they exhibit significant systematic biases under complex atmospheric conditions,
Juncheng Wu, Zexuan Wang, Haoyu Yu, Shaojie Song   +3 more
wiley   +1 more source

Generating a stratocumulus-like cloud top in a convection-cloud chamber. [PDF]

Proc Natl Acad Sci U S A
Wang A, Yang F, Ovchinnikov M, K Krueger S, Shaw RA.   +4 more
europepmc   +1 more source

Spatiotemporal Machine Learning Approaches for Atmospheric Composition Emulation in NASA GISS ModelE

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Earth System Models (ESMs) rely on parameterizations to represent sub‐grid scale processes that cannot be explicitly resolved at typical model resolutions. However, maintaining full coupling between these parameterizations and other model components creates substantial computational demands. This challenge is particularly acute for atmospheric
Mohammad H. Erfani, Kara D. Lamb, Susanne E. Bauer, Kostas Tsigaridis, Marcus van Lier‐Walqui, Gavin Schmidt   +5 more
wiley   +1 more source

Institutional Violence Perpetrated Against Transgender Individuals in Brazilian Healthcare Services: A Conceptual Analysis Based on Foucault's Microphysics of Power. [PDF]

Int J Environ Res Public Health
Leal GDC, Silva-Júnior JNB, Ferreira QR, Silva TO, Andrade LKA, Assumpção ALBNM, Lima MCRAD, Ballestero JGA, Fronteira I, Palha PF.   +9 more
europepmc   +1 more source

Microphysical Phenomena [PDF]

Nature, 1973
openaire   +1 more source

A Turbulence‐Informed Parameterization of Phase Partitioning in Stratiform Mixed‐Phase Clouds for the LMDZ Model

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract High‐latitude clouds, present over the Arctic Ocean, the Southern Ocean and the Antarctic continent, are very often mixed‐phase clouds (MPCs), that is, composed of both supercooled liquid droplets and ice crystals. Despite being essential for the climate of the poles, they remain a major modeling challenge for climate models. In this study, we
Lea Raillard, Étienne Vignon, Gwendal Rivière, Jean‐Baptiste Madeleine   +3 more
wiley   +1 more source

Evaluating the accuracy of gridded precipitation datasets and CMIP6 GCM ensemble means against gauge observations in South Wollo, Ethiopia. [PDF]

Sci Rep
Assamnew AD, Gobie BG, Habtemicheal BA.
europepmc   +1 more source