Results 131 to 140 of about 146,876 (221)

How Will Tropical Pacific Trends Affect the Future of the Southern Annular Mode?

open access: yesEarth's Future, Volume 14, Issue 3, March 2026.
Abstract The Southern Hemisphere extratropical atmospheric circulation has experienced a strong positive trend in the Southern Annular Mode (SAM). Understanding the cause of this change is crucial for projecting future regional climate change. Here, we analyze the contributing factors to the trend in the SAM under both historical and future conditions.
Weiteng Qiu   +4 more
wiley   +1 more source

Poroelastic Bulk Controls on Shear Localization in Fault Gouge During Earthquake Rupture: Insights From a Hybrid Numerical Framework

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract Seismic ruptures that extend over kilometers along faults originate in shear zones only millimeters thick. We present a hybrid numerical framework coupling the spectral boundary integral method (SBIM) for the poroelastic bulk with a staggered‐grid finite difference method (FDM) for the fault gouge.
Yu‐Han Wang, Elías Rafn Heimisson
wiley   +1 more source

The Climate Modeling Alliance Atmosphere Dynamical Core: Concepts, Numerics, and Scaling

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract This paper presents the dynamical core of the Climate Modeling Alliance (CliMA) atmosphere model, designed for efficient simulation of a wide range of atmospheric flows across scales. The core uses the nonhydrostatic equations of motion for a deep atmosphere, discretized with a hybrid approach that combines a spectral element method (SEM) in ...
Dennis Yatunin   +18 more
wiley   +1 more source

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha   +5 more
wiley   +1 more source

Variational and Monte Carlo Methods for Bayesian Inversion of Dynamic Subsurface Flow Simulations Using Seismic and Fluid Pressure Data

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley   +1 more source

Churchill and Germany: A ‘Special’ Relationship

open access: yesHistory, Volume 111, Issue 395, Page 237-254, March 2026.
Abstract No other country defined the trajectory of Churchill's political career more than Germany, a country of which he had little direct knowledge but which he either sought to emulate, accommodate or oppose throughout his time in politics. This article traces Churchill's relationship with Germany from his entry into politics at the beginning of the
T. G. Otte
wiley   +1 more source

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