Atmospheric Applications

15 credits

Syllabus, Master's level, 1ME407

A revised version of the syllabus is available.
Code
1ME407
Education cycle
Second cycle
Main field(s) of study and in-depth level
Earth Science A1F, Physics A1F
Grading system
Pass with distinction, Pass with credit, Pass, Fail
Finalised by
The Faculty Board of Science and Technology, 4 May 2017
Responsible department
Department of Earth Sciences

Entry requirements

120 credits and Turbulence and Micrometeorology, 15 credits.

Learning outcomes

The aim of the course is to use the student knowledge in meteorology on applications other then classical weather and climate.

A student that has successfully passed the course should be able to:

  • describe the techniques used to model and quantify air pollutions and noise in the atmospheric boundary layer.
  • describe the techniques used to remove pollutants .
  • apply methods used to calculate wind resources, which are used in planning new wind energy parks.
  • describe basic theory of agricultural meteorology and which forecasting methods are applicable within different agricultural contexts
  • describe the effect of the climate scenarios, how they are constructed and their uncertanties
  • describe and apply methods to calculate mean and extreme climate of wind, temperature, and precipitation and describe how they can be used in planning of different types of constructions.

Content

Air pollutants from anthropogenic and natural sources. Atmospheric transport, diffusion, chemical transformation and deposition. Techniques used to remove pollutants. Effects of pollutants with respect to human health, overfertilization, acid rain and ozone depletion. Calculations of air pollutant concentration using a numerical model. Basic in acoustics. Meteorological effects on sound propagation; refraction, absorption, scattering and ground attenuation. Result from experiments and model calculations. Basic agricultural meteorology, degree days, conditions for the most common crops, energybalance for plants, probablity forecasts. . Calculations of the energy content of the wind, variations in space and time. Corrections of time series using normal year index. Basic knowledge about wind power techniques, Betz law. Calculations of effect curves. Construction of climate scenarios, their effects and uncertanties. Methods used to calculate the mean and extreme values of wind, temperature, and precipitation and knowledge about how they can be used by the society when planning new constructions. Dimensioning of dams, problems with icing, conceptual understaning of load calculations from variances and spectra.

Instruction

Lectures, practical assignments, hand-in assignments, calculation exercises, seminars, study visit and oral presentations

Assessment

Written examination (7.5 credits). To pass requires approved practical assignments and approved mandatory assignments (7.5 credits).

FOLLOW UPPSALA UNIVERSITY ON

facebook
instagram
twitter
youtube
linkedin