Doktorarbeit / Dissertation, 2008
216 Seiten
The thesis aims to investigate the characteristics and dynamics of mesoscale atmospheric processes over the Indian subcontinent using numerical atmospheric models. The study focuses on improving the accuracy of weather forecasts by analyzing the performance of different models in simulating these events.
The first chapter provides a general introduction to the topic of mesoscale atmospheric processes, outlining the challenges and importance of accurate weather forecasting. It also presents the objectives and organization of the thesis.
Chapter 2 describes the numerical atmospheric models used in the study, including the High-resolution Regional Model (HRM) and the Advanced Regional Prediction System (ARPS). The chapter delves into the model equations, parameterizations, and limitations.
Chapter 3 focuses on the statistical assessment of the models, evaluating their performance in terms of bias, correlation, and root mean square error. The chapter examines the sensitivity of the models to initial conditions and their impact on forecast fields.
Chapter 4 analyzes the characteristics of sea/land breeze circulation along the west coast of India using both model data and observational data. The chapter investigates the diurnal and spatial variations of sea/land breeze components and boundary layer height.
Chapter 5 investigates the dynamics of mountain wave activity over the Western Ghats, examining the role of orographic lifting, Froude number, and Scorer parameter in wave formation and propagation.
Chapter 6 presents a case study of a thunderstorm event over the east and west coasts of India. The chapter analyzes the meteorological conditions preceding the event and examines the model's ability to predict the thunderstorm's development and intensity.
Mesoscale atmospheric processes, numerical weather prediction, high-resolution regional model (HRM), Advanced Regional Prediction System (ARPS), statistical evaluation, sea/land breeze circulation, mountain wave activity, thunderstorms, India.
The study aims to characterize various atmospheric processes in the troposphere over South India using numerical models and observational data.
The research focuses on Sea/Land Breeze Circulation (SLBC), Mountain Waves (specifically over the Western Ghats), and Thunderstorms.
The study utilized the High-resolution Regional Model (HRM) and the Advanced Regional Prediction System (ARPS).
It analyzes the thermal and wind structure of SLBC along the west coast of India, examining diurnal and spatial variations during pre-monsoon and winter.
The study examines wave breaking characteristics, vertical momentum flux, and the influence of parameters like the Froude number and Scorer parameter over the Western Ghats.
The evaluation involved calculating model bias, correlation coefficients, and Root Mean Square Error (RMSE) to assess forecast skills.
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