Results 71 to 80 of about 327 (141)
Abstract Accurate hurricane intensity prediction remains a critical challenge in numerical weather prediction (NWP). This study implements and evaluates a newly developed Storm‐Following Three‐Dimensional Incremental Analysis Update (3DIAU) methodology for high‐resolution regional hurricane models with storm‐following nest capabilities.
Xu Lu +8 more
wiley +1 more source
Advancing Hurricane Forecasting With AI Models for Track and Intensity Prediction
Abstract Hurricane forecasting has traditionally relied on numerical weather prediction (NWP) models. However, advancements in artificial intelligence (AI) offer new opportunities to improve forecasting accuracy. This study presents a novel evaluation of the FourCastNet model, trained on MERRA‐2 and ERA5 data sets. We perform a comprehensive comparison
Kumar Ankur +5 more
wiley +1 more source
Improving physical parameterizations in forecast models is essential for hurricane prediction. This study documents the upgrade of horizontal diffusion parameterization in the Hurricane Weather Research and Forecasting (HWRF) Model and evaluates the ...
Jun A. Zhang +7 more
core +1 more source
Role of Sea Surface Temperature in Modulating Life Cycle of Tropical Cyclones over Bay of Bengal
Sea surface temperature (SST) varies significantly in the presence of tropical cyclones (TCs). Using fixed SST throughout the integration of high resolution TC models is general practice in research and operational endeavor over the North Indian Ocean ...
Shyama Mohanty +5 more
doaj +1 more source
To enable flexible model coupling in coastal inundation studies, a coupling framework based on the Earth System Modeling Framework (ESMF) and the National Unified Operational Prediction Capability (NUOPC) technologies under a common modeling framework ...
Saeed Moghimi +8 more
doaj +1 more source
Abstract Tropical cyclones (TCs) pose significant global hazards due to their intense winds, heavy rainfall, and associated storm surges. While in situ observations from aircraft are crucial for understanding TC structures, these measurements are often spatially sparse, limiting the characterization of the wind speed structure.
Xinhai Han +6 more
wiley +1 more source
Abstract This study investigates the impact of assimilating GOES‐16 all‐sky Advanced Baseline Imager (ABI) brightness temperature observations using a newly developed, continuously self‐cycled, dual‐resolution, 3DEnVar data assimilation system within the Hurricane Analysis and Forecast System.
Xu Lu, Xuguang Wang
wiley +1 more source
A Three-Stage Deep Learning Framework for Short-Term Tropical Cyclone Track Prediction
Accurate tropical cyclone (TC) track prediction remains challenging, as numerical models suffer from high computational cost, substantial storage requirements, and physical parameterization uncertainties, while data-driven large AI models depend heavily ...
Haocheng Shi +5 more
doaj +1 more source
Graphical abstract illustrating the integrated framework of tropical cyclone dynamics, advanced tracking algorithms, and evolving research frontiers for improved forecasting and risk mitigation. ABSTRACT Tropical cyclones (TCs) pose significant threats to life and property across global ocean basins, and forecasting their structural evolution, track ...
Vivek Singh +9 more
wiley +1 more source
Abstract Considerable asymmetries in the tropical cyclones (TCs) inner core are frequently observed during the intensification phase. However, these asymmetric structures are often not well represented in the initialization of most operational forecasting models.
Yecheng Feng, Liguang Wu
wiley +1 more source

