Results 101 to 110 of about 7,676 (219)

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

Advancing Tropical Cyclone Intensity Forecasts Over the South China Sea With a Meteorology‐Aware and Attention‐Enhanced Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate tropical cyclone (TC) intensity (TCI) prediction is critical for effective disaster preparedness. Although machine learning‐based weather prediction models demonstrate strong performance in simulating TC tracks, their TCI predictions show systematic biases.
Yuan Tang, Yu Zhang, Xun Li, Shifei Tu, Jianjun Xu, Shunqi Zeng, Duanzhou Shao, Jiazheng Hu, Qichang Tan, Junjie Feng, Xiwen Liang   +10 more
wiley   +1 more source

WACCM‐RR: A Regionally‐Refined Version of the Whole Atmosphere Community Climate Model

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract We introduce the Whole Atmosphere Community Climate Model with Regional Refinement (WACCM‐RR) and study the impact of directly resolving gravity waves (GWs) in the mesosphere and lower thermosphere (MLT; 70–140 km). Two simulations of 2010 are compared: “Non‐RR” is a standard WACCM case with a horizontal resolution of ∼1° (111 km) globally ...
M. M. Kupilas, D. R. Marsh, P. H. Lauritzen, C. S. Gardner, M. V. Guarino, J. V. Egan, W. Feng, J. M. C. Plane   +7 more
wiley   +1 more source

Importance of Spatially Continuous Urban Surface Properties in Urban‐Resolving Earth System Modeling

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Accurate representation of urban properties and processes at higher resolutions in global modeling systems is essential for advancing our ability to capture the complexities of urban systems and informing effective resilience strategies. However, the prescription of coarse global‐scale urban properties in most state‐of‐the‐art Earth system ...
Yifan Cheng, Lei Zhao, Keith Oleson, TC Chakraborty, Keer Zhang, Cenlin He, Joyce Yang   +6 more
wiley   +1 more source

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

Impacts of Spatial Resolution, Groundwater Parameterizations, and Vadose Zone Thickness on Land Surface Simulations

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Accurate kilometer‐scale modeling of land processes is crucial for improving weather and climate forecasting. However, persistent biases, such as the well‐documented warm temperature and dry bias in the central midlatitudes, continue to pose challenges.
Mahmoud Mbarak, Zong‐Liang Yang
wiley   +1 more source

A Framework for Modeling Tropical Cyclone‐Induced Compound Flooding of the Continental US: Demonstrated in New Orleans

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Compound flooding involves the interaction of multiple flood processes (e.g., coastal, fluvial, and pluvial) and is modulated by several factors (e.g., weather, climate, topobathy, morphology, time‐lag). In tropical and subtropical regions globally, Tropical Cyclones (TCs) are a primary cause of compound flooding as they generate substantial ...
Joshua Green, Jeff Neal, Ivan D. Haigh, Hamish Wilkinson, Tom Collings, Nans Addor, Niall Quinn, Nicolas Bruneau, Thomas Loridan, Balaji Mani, Ignatius R. Pranantyo   +10 more
wiley   +1 more source

WRF-CMake: integrating CMake support into the Advanced Research WRF (ARW) modelling system [PDF]

Journal of Open Source Software, 2019
Maik Riechert, David Meyer
openaire   +1 more source

Revisiting Snow Water Equivalent Bias in the Noah‐MP Land Surface Model in the Western U.S.

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Land surface models (LSMs) are widely used to generate snow records, forecasts, and projections that support water research and management. The complex sources of uncertainty in LSMs motivate evaluations to better understand bias characteristics and identify underlying causes that guide model development.
Ronnie Abolafia‐Rosenzweig, Cenlin He, Kyoko Ikeda, Changhai Liu, Tzu‐Shun Lin, Michael Barlage, Lulin Xue, Kabir Rasouli, Yongxin Zhang, Andrew Newman, Jimy Dudhia, Timothy Schneider, Roy Rasmussen   +12 more
wiley   +1 more source

Wind Energy Futures: Which Locations Across the Western U.S. Are Most Resilient to Environmental Change?

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Wind energy is central to the energy transition, but its reliance on atmospheric conditions makes long‐term resource planning vulnerable to environmental change. Earth System Model projections suggest uneven regional change, yet coarse resolution limits infrastructure planning in complex terrain, and few multi‐model assessments are validated ...
Weichen Liu, Stefan Rahimi, Melissa Bukovsky, Lei Huang, Benjamin Bass, Alex Hall, Chad Thackeray, Raymond Sukhdeo, Fanghe Zhao, Tim Corrie   +9 more
wiley   +1 more source