ATMS 597

Spring 2014 All Classes

All Classes

Special Topics in Atmos Sci

Credit: 0 TO 4 hours.

Lecture course in topics of current interest; subjects such as tropical meteorology, aerosol physics, and geophysical fluid dynamics will be covered in term offerings on a regular basis.

Approved for both letter and S/U grading. Prerequisite: Consent of instructor.

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ATMS 597 class schedule data for spring 2014
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	60129	Laboratory Lecture	RS RS	12:30PM -1:50PM 12:30PM -1:50PM	R T	109 Atmospheric Sciences Bldg 109 Atmospheric Sciences Bldg	Sriver, R Sriver, R	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 4 hours Section Info: RISK ANALYSIS Course Description: The course is an introduction to concepts and methods of quantitative risk analysis in the Earth system. Key concepts will include probability, impacts, risk, uncertainty, statistical estimation, and decision making. Students will use simple risk analysis methods to apply these concepts to example problems related to drought, flooding, weather extremes, and anthropogenic climate change. The students will learn the R programming language for statistical computing, which will be used to integrate concepts and methods using observational data sets.
	61029	Lecture	SN	9:00AM -9:50AM	MWF	109 Atmospheric Sciences Bldg	Nesbitt, S	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 4 hours Section Info: ATMOSPHERIC SIMULATION WITH THE WEATHER RESEARCH AND FORECASTING MODEL In this course, students will get hands on experience using the Advanced Research version of the Weather Research and Forecasting (WRF) model to solve problems in mesoscale meteorology. This course will present a brief overview of numerical weather prediction methods, and the methods employed in the dynamical core of the WFR model. The course will also detail model initialization techniques, specification of boundary conditions, grid nesting, data assimiliation, and physical parameterizations of surface, boundary layer, radiation, and cloud microphysical phenomena. Students will also perform exercises in using the model to solve problems in mesoscale meteorology, such as applications to mesoscale forecasting, land cover and land use sensitivity, orographic flows, cloud system simulation, and regional climate modeling. Students should have a background in UNIX-style computing, experience in FORTRAN preferred.