Results 141 to 150 of about 26,393 (255)
Abstract Using the multi‐frequency radar suite, ground‐based observations, and the Weather Research and Forecasting (WRF) model with the Predicted Particle Properties microphysics scheme with the version of two‐ice category (P3‐2ice), we study the characteristics of a cold‐air outbreak (CAO) snowfall event on 6–7 December 2024.
Zhizhi Qin +9 more
wiley +1 more source
Abstract Climate models have substantial biases in downwelling shortwave radiation over the Southern Ocean (SO) and Antarctica, primarily due to their inability to accurately represent the frequent occurrence of low‐level mixed‐phase clouds. Building on the evaluation of the Unified Model (UM) Regional Atmosphere and Land version 3 (RAL3), this study ...
Zhangcheng Pei +10 more
wiley +1 more source
Dust and Primary Biological Aerosol Particles (PBAP) Effects on Sea Breeze Systems Over Houston
Abstract Sea‐breeze‐induced convection plays a critical role in coastal weather but remains challenging to simulate due to complex aerosol–cloud interactions. Although mineral dust and primary biological aerosol particles (PBAPs) are known to act as cloud condensation nuclei and ice nucleating particles, their impacts on different convective cloud ...
Qiuyan Du +5 more
wiley +1 more source
Simplified Linear Dose‐Response Models for Low‐Dose QMRAs
ABSTRACT This study analyzes widely used dose‐response (DR) models from potable reuse quantitative microbial risk assessments (QMRAs) to identify the low‐dose ranges where the log10‐transformed probability of infection and pathogen dose exhibit a linear relationship.
Katherine Crank +2 more
wiley +1 more source
Joint Postprocessing of Air and Dew Point Temperature Ensemble Forecasts With Machine Learning
This study compares two joint probabilistic postprocessing methods for calibrating air and dew point temperature ensemble forecasts. Results show that the bivariate distributional regression network improves uncertainty representation and overall forecast skill, highlighting its potential for operational meteorological applications. ABSTRACT Estimation
Enric Casellas +4 more
wiley +1 more source
ABSTRACT Offshore wind energy development in China's coastal regions represents a critical pathway toward achieving carbon neutrality goals, yet accurate resource assessment remains challenging due to complex marine meteorological conditions. This study presents a comprehensive evaluation of offshore wind resources in Fujian Province using convection ...
Jiarong Fan +8 more
wiley +1 more source
The precipitation over the Indonesian Maritime Continent (IMC) is one of the most challenging atmospheric parameters to predict accurately. The Weather Research Forecasting (WRF) model used in this study produces overestimated predictions of ...
doaj +1 more source
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka +79 more
wiley +1 more source
A Metric for Quantifying Spatial Heterogeneity in Gridded Atmospheric Fields
Abstract Spatial heterogeneity influences many nonlinear atmospheric processes but it is often described qualitatively or with simple statistical measures that do not capture spatial organization. We introduce a mixing‐oriented metric for gridded fields based on the expected deviation of subdomain means from the global average.
M. Mohebalhojeh +3 more
wiley +1 more source
Abstract Transitioning to a low‐carbon energy system can provide air quality and health co‐benefits. While the aggregate effects are intuitively clear, the distributions across subnational regions and population groups and their drivers are complex and less intuitive. Here we use an integrated energy‐atmospheric‐health modeling framework for the United
Xinyuan Huang +3 more
wiley +1 more source

