University of Alberta

Weather Analysis and Forecasting, EAS 372

Course Outline, Jan. - April, 2013

Course Web Page: http://courses.eas.ualberta.ca/eas372/index.html (accessible to registered students by User Name and Password): links to past exams and quizzes, and much more.

Instructor: Dr. J.D. Wilson

Office: CCIS Room 3-277

Phone: 492 0353

E-mail: jaydee.uu@ualberta.ca

Instructor's Office Hours: Mon, Wed, Fri 11-12

Lecture Room & Time: ESB 1-39, Tues & Thurs, 9:30-10:50


Course Description: (3-0-0). An introduction to synoptic analysis. Meteorological codes. Analysis of surface charts. Air-masses and fronts. Upper air constant pressure charts. Structure and evolution of weather systems. Analysis of current and predicted weather data. Synoptic weather forecasting. Prerequisite: EAS 371.

Recommended Textbook: Midlatitude Synoptic Meteorology, G. Lackmann (published by the American Meteorological Society)

Comment: This "practicum"-type course will place a strong emphasis on interpretation of weather analyses and forecasts supplied by Numerical Weather Prediction (NWP), to assist students to understand and use NWP products. Many other types of information complement the information available from weather models, e.g. atmospheric soundings, satellite and radar images, pilot reports, etc. A theory side of the course will be motivated towards ensuring students are fluent with the vocabulary and the concepts that are relevant to informed discussion of weather situations and forecasts, e.g. the governing equations in vector notation or component form, the role of unresolved scales of motion, idealized models of synoptic weather evolution (the geostrophic and quasi-geostrophic paradigms).

Resources: The course web page (http://courses.eas.ualberta.ca/eas372/) will give course information (dates of assignments and exams; grading criteria) and archive materials used in class.

Class Format: Classes will take place in ESB 1-39, where students will have individual web access. Some exercises and assignments will involve computing, e.g. MATLAB or GrADS (an introduction to these resources will be provided).

Evaluation:

A final letter grade will be assigned on the basis of your total (cumulative) score. Where possible, natural breaks in the mark distribution will be used in assigning grades, but no pre-determined distribution of grades will be imposed. Your grade will reflect a combination of your absolute achievement and relative standing in the class. Median grades for this course in (2012, 2011, 2010) respectively were (Bplus, B, Bplus).

A deferred exam, if necessary, will be held Monday 6 May 2013 at 09:00-11:00

Mandatory Statements



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Last Modified: 20 Dec., 2012