Abstract- A mesoscale modeling investigation of tropical cyclone/hurricane forecast over the Gulf of Mexico has been established under the NASA/HBCU Renewable Energy and Technology Project to adopt the numerical weather prediction model for possible use in regions where solar equipment will be used. Accurate and reliable forecasting is crucial in regions that have limited resources where renewable solar energy can be utilized. Devices such as solar cookers and solar Stirling engines can be effectively operated under adequate sunlight in converting solar energy to cook food. The study also involves in understanding the structure and dynamics of lanfalling tropical cyclones over the Gulf coas
Accurate regional and local scale information about seasonal climate variability and its impact on w...
The authors build on their efforts to understand and predict coastal hurricane activity by developin...
The influence of satellite brightness temperature data on the retrospective numerical prediction of ...
Katrina (a tropical cyclone/hurricane) began to strengthen reaching a Category 5 storm on 28th Augus...
Katrina (a tropical cyclone/hurricane) began to strengthen reaching a Category 5 storm on 28th Augus...
It is known that the General Circulation Models (GCMs) have sufficient resolution to accurately simu...
Different analytical models have been evaluated for estimating wind speed of the tropical storm, whe...
The purpose of this project is to analyze the relationship between tropical cyclones of the Gulf of ...
Using multivariate discriminant analysis techniques, statistically significant and skillful models a...
During the 2019 peak hurricane season, two gliders operated by Texas AM University (TAMU) and the Un...
Hurricanes are among the most destructive and costly extreme weather events. The intensity of future...
[1] A high-resolution finite volume general circulation model (fvGCM), resulting from a development ...
The NORAPS model has been used to simulate the motion of Hurricane Erin over Florida. A triplynested...
The Advanced Regional Prediction System (ARPS) model developed at Center for Analysis and Prediction...
With the recent advances in numerical weather prediction, it is becoming increasingly important to p...
Accurate regional and local scale information about seasonal climate variability and its impact on w...
The authors build on their efforts to understand and predict coastal hurricane activity by developin...
The influence of satellite brightness temperature data on the retrospective numerical prediction of ...
Katrina (a tropical cyclone/hurricane) began to strengthen reaching a Category 5 storm on 28th Augus...
Katrina (a tropical cyclone/hurricane) began to strengthen reaching a Category 5 storm on 28th Augus...
It is known that the General Circulation Models (GCMs) have sufficient resolution to accurately simu...
Different analytical models have been evaluated for estimating wind speed of the tropical storm, whe...
The purpose of this project is to analyze the relationship between tropical cyclones of the Gulf of ...
Using multivariate discriminant analysis techniques, statistically significant and skillful models a...
During the 2019 peak hurricane season, two gliders operated by Texas AM University (TAMU) and the Un...
Hurricanes are among the most destructive and costly extreme weather events. The intensity of future...
[1] A high-resolution finite volume general circulation model (fvGCM), resulting from a development ...
The NORAPS model has been used to simulate the motion of Hurricane Erin over Florida. A triplynested...
The Advanced Regional Prediction System (ARPS) model developed at Center for Analysis and Prediction...
With the recent advances in numerical weather prediction, it is becoming increasingly important to p...
Accurate regional and local scale information about seasonal climate variability and its impact on w...
The authors build on their efforts to understand and predict coastal hurricane activity by developin...
The influence of satellite brightness temperature data on the retrospective numerical prediction of ...