Numerical Weather Prediction in Atmospheric Sciences
Numerical Weather Prediction is a crucial method of weather forecasting that involves translating fluid flow equations into computer code, integrating them based on initial conditions and domain boundaries. This field, developed in the 20th century with advancements in computing, uses meteorological observations to predict future weather patterns. The process involves solving complex nonlinear equations using computers due to their inability to be solved analytically. Implementing algorithms for numerical models requires powerful computing tools and depends on a robust global weather observation system combining conventional and satellite measurements.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Numerical Weather Prediction MUSTANSIRIYAH UNIVERSITY COLLEGE OF SCIENCES DEPARTMENT OF ATMOSPHERIC SCIENCES 2024-2025 Dr. Sama Khalid Mohammed FOURTH STAGE LECTURE 1
Numerical Weather Prediction A method of weather forecasting that employs: A set of equations that describe the flow of fluids, Which is translated into computer code, Combined with parameterizations of other processes, Then applied on a specific domain, and integrated, based on initial conditions and conditions at the domains boundaries
Numerical Weather Prediction A very young field developed in the second half of the 20th century, aided by advancements in computing. Uses meteorological observations as initial data to solve equations describing atmospheric behavior and predict future weather. The used equations are the general equations of fluid mechanics, with simplifications justified by the orders of magnitude of the various terms in the specific instance (state) of the Earth s atmosphere and by the scales to be described These equations are complex and nonlinear, requiring computers for solutions, as they can't be solved analytically.
Stop and Think! What is a Variable? Categorical Variables and Numerical Variables? Discrete Variable and Continuous Variable? What is the process of transforming the continuous-time data into discrete-time data?
Numerical Model Construction Implementing this algorithm requires a sufficiently powerful computing tool. This is why advances in numerical weather prediction have followed in the wake of the fantastic development computers since they came into being at the end of the Second World War! Successful weather numerical models depends on the global weather observation system. This system combines conventional and satellite measurements to provide a detailed, though imperfect, snapshot of the atmosphere at a given time. EQUATIONS A system of equations is established to govern the continuous behavior of the atmosphere of electronic DISCRETIZATION The equations relating to continuous variables are replaced by equations relating to discrete variables, the solutions to which are obtained by an appropriate algorithm. forecasting using Results The results of a numerical prediction (that is, the solutions of discretized equations of dynamic meteorology) depend on the discretization process employed.
Stop and Think! What is deterministic and probabilistic prediction? What is the absolute vorticity conservation equation? What is the quasi-geostrophic approximation? What is the absolute vorticity?
Early Days of Numerical Weather Prediction 1904: Bjerknes identified weather forecasting as a deterministic initial-value, requiring accurate initial atmospheric data and knowledge of physical laws. However, he realized that the difficulty lay in the need to solve a system of nonlinear partial differential equations for which there were no analytical solutions, in the general case. 1916-1922: Richardson attempted to solve weather equations manually, publishing his visionary work on numerical weather prediction in 1922, though his results were unrealistic. He made a 6- hour forecast by hand, although it proved quite unrealistic. However, he did not despair, and sought to know the reasons for his failure. Noting that 32 2000 = 64,000 computers would be needed to race the weather for the whole globe , Richardson let his imagination roam and dreamed of a weather-forecasting factory, with a countless of people making synchronized computations under the control of a supervisor tasked with the orchestration of operations.
Early Days of Numerical Weather Prediction 1928: German mathematicians Courant, Friedrichs, and Lewy developed finite difference methods for solving partial differential equations, and specified the constraints to comply with when performing discretization. 1939: Rossby explained atmospheric motion using absolute vorticity conservation equation, provided a correct interpretation of the observed displacement of atmospheric centers of action. absolute vorticity = relative vorticity + planetary vorticity
Early Days of Numerical Weather Prediction 1946: The first electronic computer, ENIAC (Electronic Numerical Integrator and Computer) was installed at Pennsylvania University, in Philadelphia, while the Hungarian-born U.S. mathematician John von Neumann was also working on building improved machines at the Institute for Advanced Studies in Princeton. 1948: Charney simplified weather equations with the quasi- geostrophic approximation, and found the equation studied by Rossby.
Early Days of Numerical Weather Prediction 1950: Charney, Fj rtoft, and Neumann made the first successful numerical weather prediction using ENIAC. They applied the absolute vorticity conservation equation to forecast geopotential height at the 500 hPa level, with encouraging results. This marked the beginning of modern numerical prediction. 1952: Lewis Fry Richardson praised their work in 1952, acknowledging it as a significant step toward a predictive science of meteorology.