Results 51 to 60 of about 13,836,528 (157)

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

Improving the Assimilation of Enhanced Atmospheric Motion Vectors for Hurricane Intensity Predictions with HWRF

Remote Sensing, 2022
The initial conditions for hurricanes are difficult to improve due to the lack of inner-core observations over the ocean. An enhanced atmospheric motion vectors (AMVs) dataset from the Cooperative Institute for Meteorological Satellite Studies (CIMSS ...
Xu Lu, Benjamin Davis, Xuguang Wang
doaj   +1 more source

Sensitivity of Tropical Cyclone Forecasts to the Loss of Low Earth Orbit Satellite Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Tropical cyclones are among the most destructive natural hazards, impacting millions of people worldwide each year. Accurate and timely forecasts are therefore essential for effective preparedness and risk mitigation. Forecast skill depends on both the performance of numerical weather prediction models and the observations assimilated into the
Isaac Moradi, Satya Kalluri, Vijay Tallapragada, Yanqiu Zhu   +3 more
wiley   +1 more source

Multi-season evaluation of hurricane analysis and forecast system (HAFS) quantitative precipitation forecasts

Frontiers in Earth Science
Quantitative precipitation forecasts (QPF) from numerical weather prediction models need systematic verification to enable rigorous assessment and informed use, as well as model improvements.
Kathryn M. Newman, Brianne Nelson, Mrinal Biswas, Linlin Pan, Linlin Pan   +4 more
doaj   +1 more source

Evaluation of Western North Pacific Typhoon Track Forecasts in Global and Regional Models during the 2021 Typhoon Season

Atmosphere, 2023
The track forecasts of tropical cyclones (TC) in the western North Pacific (WNP) basin during 2021 typhoon season with five global models and four regional models are evaluated here.
Guomin Chen, Tim Li, Mengqi Yang, Xiping Zhang   +3 more
doaj   +1 more source

Satellite data assimilation of upper-level sounding channels in HWRF with two different model tops

Journal of Meteorological Research, 2015
The Advanced Microwave Sounding Unit-A (AMSU-A) onboard the NOAA satellites NOAA-18 and NOAA-19 and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) MetOp-A, the hyperspectral Atmospheric Infrared Sounder (AIRS) onboard Aqua, the High resolution InfraRed Sounder (HIRS) onboard NOAA-19 and MetOp-A, and the Advanced ...
Xiaolei Zou, Fuzhong Weng, Vijay Tallapragada, Lin Lin, Banglin Zhang, Chenfeng Wu, Zhengkun Qin   +6 more
openaire   +2 more sources

Machine Learning Based Prediction of Tropical Cyclone Rapid Intensification in the Western North Pacific: Importance of Data Augmentation and Loss Function

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract In this study, we developed a TabNet‐based machine learning model to predict tropical cyclone (TC) rapid intensification (RI) in the Western North Pacific. The most significant challenge in predicting RI is the severe class imbalance between rapid and non‐rapid intensification cases, typically 4.2:1 ratio based on 1977–2021 records.
Sanghyeok An, Jiwon Jeong, Seok‐Woo Son, Hyungjun Kim, Jee‐Hoon Jeong, Jin‐Ho Yoon   +5 more
wiley   +1 more source

Forecasting of tropical cyclones ASANI (2022) and MOCHA (2023) over the Bay of Bengal - real time challenges to forecasters

Tropical Cyclone Research and Review
This study examines the track and intensity forecasts of two typical Bay of Bengal tropical cyclones (TC) ASANI and MOCHA. The analysis of various Numerical Weather Prediction (NWP) model forecasts [ECMWF (European Centre for Medium range Weather ...
S.D. Kotal, T. Arulalan, M. Mohapatra
doaj   +1 more source

Development of an ESMF Based Flexible Coupling Application of ADCIRC and WAVEWATCH III for High Fidelity Coastal Inundation Studies

Journal of Marine Science and Engineering, 2020
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, Andre Van der Westhuysen, Ali Abdolali, Edward Myers, Sergey Vinogradov, Zaizhong Ma, Fei Liu, Avichal Mehra, Nicole Kurkowski   +8 more
doaj   +1 more source

Diagnosing Conditions Associated with Large Intensity Forecast Errors in the Hurricane Weather Research and Forecasting (HWRF) Model

Weather and Forecasting, 2018
Abstract Understanding and forecasting tropical cyclone (TC) intensity change continues to be a paramount challenge for the research and operational communities, partly because of inherent systematic biases contained in model guidance, which can be difficult to diagnose.
Torn, Ryan D., Halperin, Daniel J.
openaire   +2 more sources