HUOM! OPINTOJAKSOJEN TIETOJEN TÄYTTÄMISTÄ KOORDINOIVAT KOULUTUSSUUNNITTELIJAT HANNA-MARI PEURALA JA TIINA HASARI
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1. Course title
Field course in remote sensing of the atmosphere
Field course in remote sensing of the atmosphere
Field course in remote sensing of the atmosphere
2. Course code
ATM361
3. Course status: optional
-Which degree programme is responsible for the course?
Master's Programme in Atmospheric Sciences
-Which module does the course belong to?
ATM300 Advanced Studies in Atmospheric Sciences (optional for Study Track in Remote Sensing)
-Is the course available to students from other degree programmes?
Yes
4. Course level (first-, second-, third-cycle/EQF levels 6, 7 and 8)
Master’s level, degree programmes in medicine, dentistry and veterinary medicine = secondcycle
degree/EQF level 7
Doctoral level = third-cycle (doctoral) degree/EQF level 8
-Does the course belong to basic, intermediate or advanced studies (cf. Government Decree
on University Degrees)?
Advanced studies
5. Recommended time/stage of studies for completion
-The recommended time for completion may be, e.g., after certain relevant courses have
been completed.
It should be taken after the ATM323 Advanced Course in Radar Meteorology and ATM354 Cloud Physics
6. Term/teaching period when the course will be offered
-The course may be offered in the autumn or spring term or both.
-If the course is not offered every year, this must be indicated here.
-Specification of the teaching period when the course will be offered
7. Scope of the course in credits
5 cr
8. Teacher coordinating the course
Dmitri Moisseev
9. Course learning outcomes
-Description of the learning outcomes provided to students by the course
- See the competence map (https://flamma.helsinki.fi/content/res/pri/HY350274).
- You will learn how cloud and precipitation properties can be measured using cloud radars, lidars and microwave radiometers
- You will learn how to derive cloud microphysical properties from these observations
- You will learn how to process and analysis the remote sensing data
10. Course completion methods
-Will the course be offered in the form of contact teaching, or can it be taken as a distance
learning course?
-Description of attendance requirements (e.g., X% attendance during the entire course or
during parts of it)
-Methods of completion
- Final group report and presentation.
11. Prerequisites
-Description of the courses or modules that must be completed before taking this course or
what other prior learning is required
12. Recommended optional studies
-What other courses are recommended to be taken in addition to this course?
-Which other courses support the further development of the competence provided by this
course?
13. Course content
-Description of the course content
- Introduction to cloud and precipitation measurements
- Overview of the theory behind radar, lidar and microwave radiometer measurements.
- Sensor synergy
- Inverse methods and retrieval algorithms
14. Recommended and required literature
-What kind of literature and other materials are read during the course (reading list)?
-Which works are set reading and which are recommended as supplementary reading?
- Lecture notes
- Peer reviewed articles
15. Activities and teaching methods in support of learning
-See the competence map (https://flamma.helsinki.fi/content/res/pri/HY350274).
-Student activities
-Description of how the teacher’s activities are documented
- Lectures, group work and practical sessions in the field and classroom.
16. Assessment practices and criteria, grading scale
-See the competence map (https://flamma.helsinki.fi/content/res/pri/HY350274).
-The assessment practices used are directly linked to the learning outcomes and teaching
methods of the course.
- Group report after the end of the course.
17. Teaching language
English