Results 1 to 10 of about 13,153 (303)

Emulating inconsistencies in stratospheric aerosol injection

Environmental Research: Climate
Stratospheric aerosol injection (SAI) would involve the addition of sulfate aerosols in the stratosphere to reflect part of the incoming solar radiation, thereby cooling the climate.
Jared Farley, Douglas G MacMartin, Daniele Visioni, Ben Kravitz   +3 more
doaj   +1 more source

Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework

Environmental Data Science
Extreme precipitation events are projected to increase both in frequency and intensity due to climate change. High-resolution climate projections are essential to effectively model the convective phenomena responsible for severe precipitation and to plan
Valentina Blasone, Erika Coppola, Guido Sanguinetti, Viplove Arora, Serafina Di Gioia, Luca Bortolussi   +5 more
doaj   +1 more source

A physically consistent AI-based SPH emulator for computational fluid dynamics

Nonlinear Engineering
The integration of artificial intelligence (AI) into computational fluid dynamics (CFD) has significantly expanded the scope of fluid modeling, allowing enhanced analysis capabilities and improved simulation performance.
Amato Eleonora, Zago Vito, Del Negro Ciro   +2 more
doaj   +1 more source

Emulation With Uncertainty Quantification of Regional Sea‐Level Change Caused by the Antarctic Ice Sheet

Journal of Geophysical Research: Machine Learning and Computation
Projecting regional sea‐level change under various climate‐change scenarios typically involves running forward simulations of the Earth's gravitational, rotational and deformational (GRD) response to ice‐mass change, which requires substantial ...
Myungsoo Yoo, Giri Gopalan, Matthew Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand   +6 more
doaj   +1 more source

A Framework for Parametric and Predictive Uncertainty Quantification in the E3SM Land Model: Assessing Site and Observable Generalizability

Journal of Advances in Modeling Earth Systems
Quantifying parametric uncertainty using observations from individual sites provides a critical foundation for Earth system modeling, serving as a necessary first step before scaling up to regional or global applications.
Zhongjing Jiang, Natalie M. Isenberg, Tamanna Subba, Hyun‐Myung Woo, Shawn P. Serbin, Nathan M. Urban, Chongai Kuang   +6 more
doaj   +1 more source

Open-source Electronic Mass-Spring-Damper emulator with nonlinear dynamics for education and control research. [PDF]

HardwareX
Gonzalez-Solis EV, Rosas-Almeida DI.
europepmc   +1 more source

Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow. [PDF]

J Biomech Eng
Usman M, Castillo PN, Narayan A, Timmins LH.   +3 more
europepmc   +1 more source

The relative role of direct orbital forcing versus CO₂ and ice feedbacks on Quaternary climate. [PDF]

Nat Commun
Williams CJR, Lord NS, Kennedy-Asser AT, Ren X, Richards DA, Crucifix M, Kontula A, Thorne M, Valdes PJ, Foster GL, Brown RM, McClymont EL, Lunt DJ.   +12 more
europepmc   +1 more source

A Dual-Mode Memristor-Based Oscillator for Energy-Efficient Biomedical Wireless Systems. [PDF]

Micromachines (Basel)
Barraj I, Masmoudi M.
europepmc   +1 more source