Date of Award
5-2021
Degree Type
Thesis
Degree Name
Master of Science - Mathematical Sciences
Department
Mathematics and Statistics
First Advisor
Lynn Greenleaf, Ph.D.
Second Advisor
Jeremy Becnel, Ph.D.
Third Advisor
Christopher Ivancic, Ph.D.
Fourth Advisor
Jacob Turner, Ph.D.,
Abstract
Modeling our atmosphere and determining forecasts using numerical methods has been a challenge since the early 20th Century. Most models use a complex dynamical system of equations that prove difficult to solve by hand as they are chaotic by nature. When computer systems became more widely adopted and available, approximating the solution of these equations, numerically, became easier as computational power increased. This advancement in computing has caused numerous weather models to be created and implemented across the world. However a challenge of approximating these solutions accurately still exists as each model have varying set of equations and variables to approximate.
The model under consideration in this paper is the Weather Research and Forecast model (WRF). This model takes input from data files as initial conditions, often from other models, and runs a simulation based on its own set of equations and conditions.
Repository Citation
Baker, Aaron D., "The Effect of Initial Conditions on the Weather Research and Forecasting Model" (2021). Electronic Theses and Dissertations. 377.
https://scholarworks.sfasu.edu/etds/377
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Included in
Atmospheric Sciences Commons, Meteorology Commons, Numerical Analysis and Scientific Computing Commons, Partial Differential Equations Commons
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