Research methods in climatology III 1900-3-MK3-HIK-O
The classes are meant for the study of the use of modern tools and technologies in research in the field of climatology and meteorology, as well as the processing of various meteorological data in digital form.
The lecture aims to present students with modern data sources used in meteorology and climatology, data processing methods and examples of application applications of digital data. Students learn about modern technologies used in weather and climate research and learn about the use of specialized measuring devices.
Classes include learning to use computer software for the analysis and development of specialized climatological data. The main aim of the course is to show the possibility of processing weather data in the R computing environment, however additional software may be used during the classes (e.g. Microsoft Excel).
Student workload: 3 ECTS x 25h = 75h, including:
(N) – work in a direct contact with a teacher,
(S) – students' own work.
Classes (lecture) = 15h (N)
Classes (exercises) = 15h (N)
- consultations (N) = 10h
- passing exercises and the lecture test (N) = 5h
- preparation for the test (S) = 15h
- preparation for exercises (S) = 15h
Main fields of studies for MISMaP
Type of course
Mode
Prerequisites (description)
Course coordinators
Learning outcomes
Directional effects: K_W06, K_W10, K_U02, K_U03, K_K01
Specialization effects: S4_W11, S4_U09, S4_K07
Knowledge: the graduate knows and understands
- terminology in the field of climatological research methods
- characterization and use of specialized climatic data
- the principle of operation of specialized measuring devices used in meteorology and climatology
- methods of analyzing the spatial distribution of weather and climate elements
- ways of modeling the climate and types of climate models
Skills: the graduate can
- identify technologies used in specific types of atmosphere and climate research
- select tools and methods of data processing adequately to their specificity and purpose of work
- analyze climatological data with the use of the R computing environment
- indicate the ways of using appropriate tools and research methods in climatology
- explain the use of climate models to project climate change
- list the types of climate change scenarios, describe their assumptions and characteristics
Personal and social competences: the graduate is ready to
- become aware of the importance of modern technologies in research on the climate and the state of the atmosphere
- understand the importance of scientific integrity and diligence in obtaining and processing meteorological data
- plan own work and its implementation, in accordance with the guidelines of the teacher and the requirements of the classes
- be aware of the difficulties and limitations resulting from the use of specific research methods or work with specific meteorological data
Assessment criteria
Classes are graded on the basis of the results of the final test from the lecture and the final grade from the exercises. Completing the exercises is a prerequisite for allowing the student to pass the lecture. The grade for exercises is based upon the total sum of points acquired by the student throughout all the classes. The final grade for the subject is determined on the basis of the weighted average grade for the lecture (weight 40%) and the grade for exercises (weight 60%).
Attendance at the exercises is obligatory. One unexcused absence is allowed. The total number of all absences (excused and unexcused) may not exceed 3. Absence from classes does not release the student from the obligation to complete all exercises and make up for the delays on the assignments indicated by the teacher. Student has to complete all assignments listed in the class' programme.
Practical placement
none
Bibliography
"The R manuals", https://cran.r-project.org/manuals.html
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: