In this study, the nonhydrostatic version of Pennsylvania State University (PSU)/National Center for Atmospheric Research (NCAR) mesoscale model MM5 is used to simulate the severe land-falling Bay of Bengal cyclones. The cyclonic storms associated with maximum sustained wind of 48 knots or more are considered severe cyclones. The main objective of the study is to improve model initialization and evaluate the model performance towards prediction of intensity, track, and landfall of these storms. The model configuration used in the present study is primarily based on sensitivity studies conducted earlier by the authors. The vortex specification in the large scale global analysis is rectified using synthetic data in preparation of high resolut...
An attempt is made to delineate the relative performances and credentials of GFS, FNL, and NCMRWF gl...
The aim of this paper is to study the model's simulated frequency, track, intensity and location of ...
A common feature of the weather during the pre-monsoon season (March–May) over the east and northeas...
Abstract. Tropical cyclones are one of the most intense weather hazards over east coast of India and...
In this paper, the performance of a high-resolution mesoscale model for the prediction of severe tro...
Tropical cyclone is one of the most devastating and deadly weather phenomena worldwide. It is a resu...
Prediction of the track and intensity of tropical cyclones is one of the most challenging problems i...
Prediction of the track and intensity of tropical cyclones is one of the most challenging problems i...
Tropical cyclone is one of the most devastating and deadly weather phenomenon worldwide. It is a res...
In this study a non-hydrostatic version of Penn State University (PSU) -- NationalCenter for Atmosph...
Tropical cyclone is one of the most devastating weather phenomena all over the world. The Environmen...
Abstract. In this study a non-hydrostatic version of Penn State University (PSU) – National Center ...
Prediction of track and intensity of tropical cyclones is one of the most challenging problems in nu...
419-433Simulation of three severe local storms occurring over Gangetic West Bengal and surrounding a...
The initialization scheme designed to improve the representation of a tropical cyclone in the initia...
An attempt is made to delineate the relative performances and credentials of GFS, FNL, and NCMRWF gl...
The aim of this paper is to study the model's simulated frequency, track, intensity and location of ...
A common feature of the weather during the pre-monsoon season (March–May) over the east and northeas...
Abstract. Tropical cyclones are one of the most intense weather hazards over east coast of India and...
In this paper, the performance of a high-resolution mesoscale model for the prediction of severe tro...
Tropical cyclone is one of the most devastating and deadly weather phenomena worldwide. It is a resu...
Prediction of the track and intensity of tropical cyclones is one of the most challenging problems i...
Prediction of the track and intensity of tropical cyclones is one of the most challenging problems i...
Tropical cyclone is one of the most devastating and deadly weather phenomenon worldwide. It is a res...
In this study a non-hydrostatic version of Penn State University (PSU) -- NationalCenter for Atmosph...
Tropical cyclone is one of the most devastating weather phenomena all over the world. The Environmen...
Abstract. In this study a non-hydrostatic version of Penn State University (PSU) – National Center ...
Prediction of track and intensity of tropical cyclones is one of the most challenging problems in nu...
419-433Simulation of three severe local storms occurring over Gangetic West Bengal and surrounding a...
The initialization scheme designed to improve the representation of a tropical cyclone in the initia...
An attempt is made to delineate the relative performances and credentials of GFS, FNL, and NCMRWF gl...
The aim of this paper is to study the model's simulated frequency, track, intensity and location of ...
A common feature of the weather during the pre-monsoon season (March–May) over the east and northeas...