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Simulation of very severe cyclone Mala over Bay of Bengal with HWRF modeling system
Natural Hazards, 2011Tropical cyclone is one of the most devastating weather phenomena all over the world. The Environmental Modeling Center (EMC) of the National Center for Environmental Prediction (NCEP) has developed a sophisticated mesoscale model known as Hurricane Weather Research and Forecasting (HWRF) system for tropical cyclone studies.
Sujata Pattanayak
exaly +2 more sources
Abstract 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 impact of this upgrade on hurricane forecasts.
Jun A. Zhang +7 more
openaire +2 more sources
Natural Hazards, 2014
The Hurricane Weather Research and Forecast (HWRF) model, which was operational at the US National Centers for Environmental Prediction, was ported in India Meteorological Department (IMD) for its operational tropical cyclone (TC) track and intensity forecast at Regional Specialised Meteorological Center, New Delhi.
Vijay Tallapragada +2 more
exaly +2 more sources
The Hurricane Weather Research and Forecast (HWRF) model, which was operational at the US National Centers for Environmental Prediction, was ported in India Meteorological Department (IMD) for its operational tropical cyclone (TC) track and intensity forecast at Regional Specialised Meteorological Center, New Delhi.
Vijay Tallapragada +2 more
exaly +2 more sources
Weather and Forecasting, 2023
Abstract An evaluation framework for tropical cyclone rapid intensification (RI) forecasts is introduced and applied to evaluate the performance of RI forecasts by the operational Hurricane Weather Research and Forecasting (HWRF) Model. The framework is based on the performance of each 5-day forecast cycle, while the conventional RI evaluation is based
Weiguo Wang +5 more
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Abstract An evaluation framework for tropical cyclone rapid intensification (RI) forecasts is introduced and applied to evaluate the performance of RI forecasts by the operational Hurricane Weather Research and Forecasting (HWRF) Model. The framework is based on the performance of each 5-day forecast cycle, while the conventional RI evaluation is based
Weiguo Wang +5 more
openaire +1 more source
Advanced Diagnostics for the HWRF Hurricane Modelling System
2016The objective of this work is to show how to derive some useful first-order model diagnostics from the prognostic variables of numerical weather prediction models. We introduce a basic set of popular diagnostics products, along with illustrations and detailed formulae, that have been adopted into various real-time applications of both tropical cyclone ...
Thiago Quirino +1 more
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Weather and Forecasting, 2022
Abstract In this research, we develop a three-way coupled prediction system to advance the realization of air–sea interaction processes. This study considers the sea-state-dependent momentum flux and nonlinear interactions between waves, winds, and ocean currents using the U.S.
Hyun-Sook Kim +6 more
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Abstract In this research, we develop a three-way coupled prediction system to advance the realization of air–sea interaction processes. This study considers the sea-state-dependent momentum flux and nonlinear interactions between waves, winds, and ocean currents using the U.S.
Hyun-Sook Kim +6 more
openaire +1 more source
Monthly Weather Review, 2023
Abstract This study evaluates the impact of assimilating Global Navigation Satellite System (GNSS) radio occultation (RO) bending angles from Formosa Satellite Mission-7/Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2) receiver satellites on Hurricane Weather Research and Forecasting (HWRF) Model tropical cyclone (TC)
William J. Miller +3 more
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Abstract This study evaluates the impact of assimilating Global Navigation Satellite System (GNSS) radio occultation (RO) bending angles from Formosa Satellite Mission-7/Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2) receiver satellites on Hurricane Weather Research and Forecasting (HWRF) Model tropical cyclone (TC)
William J. Miller +3 more
openaire +1 more source
Weather and Forecasting, 2023
Abstract This study focused on developing a consensus machine learning (CML) model for tropical cyclone (TC) intensity-change forecasting, especially for rapid intensification (RI). This CML model was built upon selected classical machine learning models with the input data extracted from a high-resolution hurricane model, the Hurricane Weather ...
Mu-Chieh Ko +3 more
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Abstract This study focused on developing a consensus machine learning (CML) model for tropical cyclone (TC) intensity-change forecasting, especially for rapid intensification (RI). This CML model was built upon selected classical machine learning models with the input data extracted from a high-resolution hurricane model, the Hurricane Weather ...
Mu-Chieh Ko +3 more
openaire +1 more source
Hurricane Weather Research and Forecasting (HWRF) Model: 2015 Scientific Documentation
2016This document describes the scientific aspects of the Hurricane Weather Research and Forecasting (HWRF) modeling system. This is based on 2015 HWRF v3.7a public release. This technical note along with the HWRF v3.7a Users Guide provides the user with the scientific description and running instructions for HWRF.
Tallapragara, Vijay +13 more
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Ocean Component of the HWRF Coupled Model and Model Evaluation
2016Tropical cyclones (TCs) moving above a warm ocean represent an extreme case of air-sea interaction. Strong TC winds near the ocean surface can cool the sea surface temperature (SST) by several degrees Celsius and generate ocean currents of about 1-2 m/s.
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