A review of recent advances (2018–2021) on tropical cyclone intensity change from operational perspectives, part 1: Dynamical model guidance
Z Zhang, W Wang, JD Doyle, J Moskaitis… - … Cyclone Research and …, 2023 - Elsevier
This review summarizes the rapporteur report on tropical cyclone (TC) intensity change from
the operational perspective, as presented to the 10th International Workshop on TCs (IWTC …
the operational perspective, as presented to the 10th International Workshop on TCs (IWTC …
Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning
Tropical cyclones are responsible for large-scale loss of life and property,,–, motivating
accurate risk assessment and forecasting. These objectives require accurate reconstructions …
accurate risk assessment and forecasting. These objectives require accurate reconstructions …
Evaluating the impacts of COSMIC-2 GNSS RO bending angle assimilation on Atlantic hurricane forecasts using the HWRF model
WJ Miller, Y Chen, SP Ho, X Shao - Monthly Weather Review, 2023 - journals.ametsoc.org
This study evaluates the impact of assimilating Global Navigation Satellite System (GNSS)
radio occultation (RO) bending angles from Formosa Satellite Mission-7/Constellation …
radio occultation (RO) bending angles from Formosa Satellite Mission-7/Constellation …
Predicting rapid intensification of tropical cyclones in the western North Pacific: a machine learning and net energy gain rate approach
SH Kim, W Lee, HW Kang, SK Kang - Frontiers in Marine Science, 2024 - frontiersin.org
In this study, a machine learning (ML)-based Tropical Cyclones (TCs) Rapid Intensification
(RI) prediction model has been developed by using the Net Energy Gain Rate Index (NGR) …
(RI) prediction model has been developed by using the Net Energy Gain Rate Index (NGR) …
Unified ensemble mean forecasting of tropical cyclones based on the feature-oriented mean method
Operational and research applications generally use the consensus approach for
forecasting the track and intensity of tropical cyclones (TCs) due to the spatial displacement …
forecasting the track and intensity of tropical cyclones (TCs) due to the spatial displacement …
Evaluation of experimental high-resolution model forecasts of tropical cyclone precipitation using object-based metrics
Tropical cyclone (TC) precipitation poses serious hazards including freshwater flooding.
High-resolution hurricane models predict the location and intensity of TC rainfall, which can …
High-resolution hurricane models predict the location and intensity of TC rainfall, which can …
High-resolution time-lagged ensemble prediction for landfall intensity of Super Typhoon Haiyan (2013) using a cloud-resolving model
CC Wang, CY Lee, BJD Jou, CP Celebre… - Weather and Climate …, 2022 - Elsevier
The prediction of tropical cyclone (TC) intensity at landfall is crucial for regions vulnerable to
high winds and storm surges, but its accuracy has experienced only limited improvement. At …
high winds and storm surges, but its accuracy has experienced only limited improvement. At …
A comparison of HWRF six-hourly 4denvar and hourly 3denvar assimilation of inner core tail dopper radar observations for the prediction of hurricane edouard (2014)
Six-hourly three-dimensional ensemble variational (3DEnVar)(6H-3DEnVar) data
assimilation (DA) assumes constant background error covariance (BEC) during a six-hour …
assimilation (DA) assumes constant background error covariance (BEC) during a six-hour …
Lifetime Performance of the Operational Hurricane Weather Research and Forecasting Model (HWRF) for North Atlantic Tropical Cyclones
GJ Alaka Jr, JA Sippel, Z Zhang, HS Kim… - Bulletin of the …, 2024 - journals.ametsoc.org
Abstract The Hurricane Weather Research and Forecasting Model (HWRF) was the flagship
hurricane model at NOAA's National Centers for Environmental Prediction for 16 years and a …
hurricane model at NOAA's National Centers for Environmental Prediction for 16 years and a …
Role of the thermodynamic structure of the inner core in predicting the intensification of Hurricane Patricia (2015)
We use short‐range ensemble forecasts and ensemble clustering analysis to study the
factors affecting the intensification of Hurricane Patricia (2015). Convection‐permitting …
factors affecting the intensification of Hurricane Patricia (2015). Convection‐permitting …