Results 81 to 90 of about 6,481 (220)

Development and Evaluation of an Urban Atmospheric Inverse Modeling Framework for the Washington, DC and Baltimore, MD Metropolitan Area: Initial Results From an Inert Tracer Case Study

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 16, 28 August 2026.
Abstract Accurate quantification of hazardous material releases in cities is critical for emergency managers aiming to mitigate health impacts and mortality in the population. Here, a study on the development and evaluation of a high‐resolution (1‐km, 1‐hr) urban‐scale atmospheric inverse modeling system for the Washington, DC, and Baltimore, MD ...
Miguel Cahuich‐López, Christopher P. Loughner, Fong Ngan, Anna Karion, Lei Hu, Israel Lopez‐Coto, Kimberly Mueller, Julia K. Marrs, Arlyn Andrews, John Miller, Brian C. McDonald, Colin Harkins, Congmeng Lyu, Meng Li, Kevin R. Gurney, Mark Cohen, Howard Diamond, Ariel Stein, James Whetstone   +18 more
wiley   +1 more source

Study on Wind Simulations Using Deep Learning Techniques during Typhoons: A Case Study of Northern Taiwan

Atmosphere, 2019
A scheme for wind-speed simulation during typhoons in Taiwan is highly desirable, considering the effects of the powerful winds accompanying the severe typhoons.
Chih-Chiang Wei
doaj   +1 more source

Momentum Decoupling Drives Low‐Wind Events During Heatwaves in China: A Hybrid Explainable Machine Learning and Dynamical Modeling Approach

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Compound heatwave and low‐wind (HW‐LW) events increasingly threaten China's energy security. Analysis of 2000–2023 data reveals these compound extremes account for 18.5% of total heatwaves, with their annual frequencies nearly doubling in recent years.
Tianshun Yang, Yihao Liang, Liqing Wu, Xuemei Wang, Min Shao   +4 more
wiley   +1 more source

A Deep‐Learning‐Based Wind Gust Estimation Scheme in Complex Terrain

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Accurate prediction of gusts is critical for risk mitigation, but the turbulent processes that generate gusts are unresolved in conventional numerical weather prediction models. Here we introduce a deep‐learning‐based wind gust estimation scheme (DL‐GUST) that uses archived diagnostics from the Weather Research and Forecasting (WRF) model ...
Aiwei Li, Jiahao Feng, Zilong Li, Jingjia Luo, Wenhao Dong, Deliang Chen, Wenyu Huang   +6 more
wiley   +1 more source

Full Coupling Between the Atmosphere, Surface, and Subsurface for Integrated Hydrologic Simulation

Journal of Advances in Modeling Earth Systems, 2018
An ever increasing community of earth system modelers is incorporating new physical processes into numerical models. This trend is facilitated by advancements in computational resources, improvements in simulation skill, and the desire to build numerical
Jason Hamilton Davison, Hyoun‐Tae Hwang, Edward A. Sudicky, Derek V. Mallia, John C. Lin   +4 more
doaj   +1 more source

A Study on Microscale Wind Simulations with a Coupled WRF–CFD Model in the Chongli Mountain Region of Hebei Province, China

Atmosphere, 2019
To ensure successful hosting of the 2022 Olympic Winter Games, a comprehensive understanding of the wind field characteristics in the Chongli Mountain region is essential. The purpose of this research was to accurately simulate the microscale wind in the
Shaohui Li, Xuejin Sun, Shan Zhang, Shijun Zhao, Riwei Zhang   +4 more
doaj   +1 more source

Lightning assimilation in the WRF model (Version 4.1.1): technique updates and assessment of the applications from regional to hemispheric scales. [PDF]

Geosci Model Dev, 2022
Kang D, Heath NK, Gilliam RC, Spero TL, Pleim JE.   +4 more
europepmc   +1 more source

The Role of Lightning in Atmospheric Chemistry

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 16, 28 August 2026.
Abstract Lightning has important effects on atmospheric constituents in primarily the middle and upper troposphere. We summarize the effects of lightning on atmospheric chemistry that have been published since the last major review in 2007. The estimates of NOx production by lightning (LNOx) are based on five methods: theoretical/laboratory estimates ...
Kenneth E. Pickering, Dale J. Allen, Heidi Huntrieser   +2 more
wiley   +1 more source

Optimization of physical schemes in WRF model on cyclone simulations over Bay of Bengal using one-way ANOVA and Tukey's test. [PDF]

Sci Rep, 2021
Shenoy M, Raju PVS, Prasad J.
europepmc   +1 more source

Bias Correction Can Strongly Shape California's Projected Megaflood Risk

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 16, 28 August 2026.
Abstract A California “megaflood”—a weeks‐long cluster of storms with centuries‐long return times—would be catastrophic, yet its timing and magnitude under climate change remains uncertain. A central source of uncertainty is whether Earth System Model boundary conditions should be bias corrected before dynamical downscaling.
Stefan Rahimi, Lei Huang, Chad W. Thackeray, Mark D. Risser, Emilie Tarouilly, Jesse Norris, Alan Rhoades, Benjamin Bass, Alex Hall, Zachary J. Lebo, Weichen Liu, Flavio Lehner, Tim Corrie, Ankur Dixit   +13 more
wiley   +1 more source