Results 141 to 150 of about 13,836,528 (157)
Some of the next articles are maybe not open access.
Monthly Weather Review, 2021
AbstractA statistical analysis is performed on the high-frequency (3⅓ s) output from NOAA’s cloud-permitting, high-resolution operational Hurricane Weather Research and Forecasting (HWRF) Model for all tropical cyclones (TCs) in the North Atlantic Ocean basin over a 3-yr period (2017–19).
Zhan Zhang +5 more
openaire +1 more source
AbstractA statistical analysis is performed on the high-frequency (3⅓ s) output from NOAA’s cloud-permitting, high-resolution operational Hurricane Weather Research and Forecasting (HWRF) Model for all tropical cyclones (TCs) in the North Atlantic Ocean basin over a 3-yr period (2017–19).
Zhan Zhang +5 more
openaire +1 more source
Meteorology and Atmospheric Physics, 2019
The Hurricane Weather Research and Forecasting (HWRF) is increasingly becoming known for its better performance in simulating tropical cyclones (TCs) over different basins globally, and the Advanced Research version of the Weather Research and Forecasting (WRF) model is widely used for the same in both research and operational settings.
Raghu Nadimpalli +6 more
openaire +1 more source
The Hurricane Weather Research and Forecasting (HWRF) is increasingly becoming known for its better performance in simulating tropical cyclones (TCs) over different basins globally, and the Advanced Research version of the Weather Research and Forecasting (WRF) model is widely used for the same in both research and operational settings.
Raghu Nadimpalli +6 more
openaire +1 more source
Mathematical Foundations of Computing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liping Liu +3 more
openaire +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liping Liu +3 more
openaire +2 more sources
Natural Hazards, 2011
Much progress has been made in the area of tropical cyclone prediction using high-resolution mesoscale models based on community models developed at National Centers for Environmental Predication (NCEP) and National Center for Atmospheric Research (NCAR). While most of these model research and development activities are focused on predicting hurricanes
D. V. Bhaskar Rao, Vijay Tallapragada
openaire +1 more source
Much progress has been made in the area of tropical cyclone prediction using high-resolution mesoscale models based on community models developed at National Centers for Environmental Predication (NCEP) and National Center for Atmospheric Research (NCAR). While most of these model research and development activities are focused on predicting hurricanes
D. V. Bhaskar Rao, Vijay Tallapragada
openaire +1 more source
2016
Prediction of track and intensity of a tropical cyclone (TC) is one of the many challenging problems in meteorology, but very important for issuing timely warning for many agencies engaged in disaster preparedness and mitigation. Hurricane forecasting is one of the most important areas of modelling at Environmental Modeling Center (EMC) at the National
openaire +1 more source
Prediction of track and intensity of a tropical cyclone (TC) is one of the many challenging problems in meteorology, but very important for issuing timely warning for many agencies engaged in disaster preparedness and mitigation. Hurricane forecasting is one of the most important areas of modelling at Environmental Modeling Center (EMC) at the National
openaire +1 more source
Bulletin of the American Meteorological Society
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 state-of-the-art tool for tropical cyclone (TC) intensity prediction at the National Weather Service and across the globe. HWRF was a joint development between
Ghassan J. Alaka +9 more
openaire +1 more source
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 state-of-the-art tool for tropical cyclone (TC) intensity prediction at the National Weather Service and across the globe. HWRF was a joint development between
Ghassan J. Alaka +9 more
openaire +1 more source
Quarterly Journal of the Royal Meteorological Society, 2017
The study objective is to assess the impact of cloud‐permitting resolution and improved representation of multiscale processes on the ability to predict rapid intensification (RI) and structure of Phailin (2013), one of the strongest tropical cyclones (TCs) over the Bay of Bengal.
Krishna K. Osuri +3 more
openaire +1 more source
The study objective is to assess the impact of cloud‐permitting resolution and improved representation of multiscale processes on the ability to predict rapid intensification (RI) and structure of Phailin (2013), one of the strongest tropical cyclones (TCs) over the Bay of Bengal.
Krishna K. Osuri +3 more
openaire +1 more source
Weather and Forecasting
Abstract Global Navigation Satellite System (GNSS) radio occultation (RO) profiles provide atmospheric temperature and water vapor information, complementing microwave and infrared satellite radiances by enhancing coverage in data-sparse oceanic regions due to their high vertical resolution and all-sky observability.
William J. Miller +3 more
openaire +1 more source
Abstract Global Navigation Satellite System (GNSS) radio occultation (RO) profiles provide atmospheric temperature and water vapor information, complementing microwave and infrared satellite radiances by enhancing coverage in data-sparse oceanic regions due to their high vertical resolution and all-sky observability.
William J. Miller +3 more
openaire +1 more source
Design of Representing Multi-scale Interactions in the HWRF Modeling System (Invited)
8th AIAA Atmospheric and Space Environments Conference, 2016Xuejin Zhang +1 more
openaire +1 more source
A HWRF-POM-TC coupled model forecast performance over North Indian Ocean: VSCS TITLI & VSCS LUBAN
Tropical Cyclone Research and Review, 2021Akhil Srivastava, V S Prasad
exaly

