Results 161 to 170 of about 5,044 (260)
Abstract Aerosol radiative effects are the largest uncertainty in anthropogenic forcing estimates due to challenges in accurately representing aerosol properties and aerosol‐cloud interactions. In this study, we implement the Advanced Particle Microphysics module (APM) into the Energy Exascale Earth System Model (E3SMv3) to represent evolving size ...
Gan Luo +4 more
wiley +1 more source
Physics of North Indian Ocean tropical cyclones. [PDF]
Rao VB +5 more
europepmc +1 more source
A New Lidar‐Based Observational Estimate for a Short‐Term Longwave High‐Cloud Feedback
Abstract High clouds play a substantial role in modulating the Earth's top‐of‐atmosphere radiative energy budget. Models project that changes in high‐cloud altitude and area in response to warming will have a net warming effect within the tropics. Yet, to our knowledge, a robust global observational constraint of a short‐term cloud feedback associated ...
J. A. Pilewskie +3 more
wiley +1 more source
Integrated relative humidity as a layer-resolved indicator for moisture-precipitation interactions. [PDF]
Wan M +5 more
europepmc +1 more source
Recent Decrease in Precipitation Asymmetry of Landfalling Tropical Cyclones Across South China
Abstract South China is one of the most frequently affected regions by landfalling tropical cyclones (TCs) worldwide. Owing to its complex topography and environmental conditions, TC precipitation in this region typically exhibits pronounced asymmetry, with substantially stronger rainfall on the southern‐side of the TC center.
Shunqi Zeng +6 more
wiley +1 more source
Global increase in rain rate of tropical cyclones prior to landfall. [PDF]
Zhong Q, Gan J, Tu S, Toumi R, Chan JCL.
europepmc +1 more source
Abstract This study evaluates subseasonal tropical convection prediction in NOAA's Global Ensemble Forecast System version 13 (GEFSv13) ensemble prototypes by comparing their performance with the operational GEFSv12 and the Climate Forecast System version 2 (CFSv2).
Wanqiu Wang +4 more
wiley +1 more source
Extreme Middle Eastern dust event over metropolitan Mumbai, India, associated with enhanced lightning activity. [PDF]
Gangane A, Lal DM.
europepmc +1 more source
Abstract Machine Learning (ML) models have emerged as a powerful tool for predicting deep convection triggering, yet the atmospheric conditions that systematically challenge these models in detecting deep convection remain poorly understood. To diagnose such ambiguous regimes, we trained a Controlled Abstention Neural Network (CAN) that separates high‐
Ashish Bhattarai, Youtong Zheng
wiley +1 more source
Rising flood risks in semiarid South Asia driven by changing intraseasonal oscillations under global warming. [PDF]
Xie J +6 more
europepmc +1 more source

