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Course Criteria
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5.00 Credits
3 (3 + 0) Prerequisite: MTR 1400 or MTR 2400 or AES 1400 and satisfaction of Level I General Studies course Requirements This course considers the nature and causes of hazardous weather, the predictability of hazardous weather events, and the economic, sociological, and psychological impact of these events. The strategies for the protection of life and property from hazardous weather are also considered. (General Studies-Level II, Natural Science)
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5.00 Credits
6-Mar (0 + 9-18) Prerequisite: Employment in a meteorological cooperative education position This course involves educational work experience with a consulting meteorologist, meteorological firm, or government agency. The learning process is under supervision of meteorology faculty and the meteorologist at the firm or agency.
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5.00 Credits
6-Mar (0 + 9-18) Prerequisite: Employment in a meteorological cooperative education position, and MTR 3710 This course involves educational work experience with a consulting meteorologist, meteorological firm, or government agency. The learning process is under supervision of meteorology faculty and the meteorologist at the firm or agency.
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5.00 Credits
3 (0 + 9) Prerequisite: Employment in a meteorological cooperative education position, and MTR 3720 This course involves educational work experience with a consulting meteorologist, meteorological firm or government agency. The learning process is under supervision of meteorology faculty and the meteorologist at the firm or agency.
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5.00 Credits
1 (0 + 2) Prerequisite: MTR 3410 This is a laboratory course in which the principles of synoptic meteorology and weather computer technology are used in developing a weather forecast. Students are introduced to computerized weather data access, display, and analysis using meteorological software applications. Students learn to use surface and upper-air data, satellite and radar imagery, numerical model output, and other weather data in the preparation of weather forecasts. Principles of weather briefing and forecast decision making are also introduced.
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5.00 Credits
1 (0 + 2) Prerequisite: MTR 4210 This course follows MTR 4210. Students practice the skills learned in MTR 4210 in a more independent setting, gaining experience in computerized data analysis, diagnosis, and weather forecasting.
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5.00 Credits
1 (0 + 2) Prerequisite: MTR 4220 This lab allows students to continue to develop skills learned in MTR 4220, in an independent setting, gaining experience in computerized data analysis, diagnosis, and weather forecasting. Forecast format is that of the National Collegiate Weather Forecasting Contest, allowing students to participate in the national contest, if desired.
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5.00 Credits
1 (0 + 2) Prerequisite: MTR 4230 This lab allows students to continue to develop skills learned in MTR 4230, in an independent setting, using advanced computerized data analysis and diagnosis to generate a weather forecast. Forecasts format is that of the National Collegiate Weather Forecasting Contest, so students may participate in the national contest, if desired. Students may also lead weekly departmental weather briefings.
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5.00 Credits
3 (2 + 2) Prerequisite: MTR 3450, MTH 3420 and PHY 2331 This course is a calculus-based examination of the three-dimensional structure of mid-latitude, synoptic-scale weather systems, emphasizing the application of kinematic and thermodynamic principles. Main topics include quasi-geostrophic theory, cyclone structure and evolution, diagnosis of vertical motion, jet streams, and frontogenesis. The lab component involves examples and exercises using computer-based analysis programs (e.g., GEMPAK and McIDAS) to diagnose current weather and case studies.
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5.00 Credits
3 (3 + 0) Prerequisite: MTR 3450, MTH 3420, and MTH 1510 or an equivalent course in an approved programming Language This course presents the theoretical background to numerically modeling the atmosphere using the primitive equations. Current numerical models will be analyzed and finite-difference techniques will be applied to a simple computer model of the atmosphere developed during the course.
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