UA0016 Meteorogical satellites and data processing

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code UA0016
Name Meteorogical satellites and data processing
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
1


Course Goal / Objective

applications of meteorological satellites on Cloud, snow, fog and wind observations and

Course Content

meteorological satellites, Cloud, snow, fog and wind observations

Course Precondition

none

Resources

Application of Meteorological Satellite Data in Analysis and Forecasting- Andesan Ralph K

Notes

Climatology From Satellites- Barret E.C.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows properties of meteorological satellites
LO02 Gets informations about clouds using meteorological satellite data
LO03 Extracts informations about fogs using meteorological satellite data
LO04 Gets informations about wind using meteorological satellite data


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 4
PLO02 Bilgi - Kuramsal, Olgusal The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 3
PLO03 Bilgi - Kuramsal, Olgusal The students generate information using remotely sensed data and GIS together with database management skills. 1
PLO04 Bilgi - Kuramsal, Olgusal The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data.
PLO05 Bilgi - Kuramsal, Olgusal The students gain knowledge to use current data and methods for multi-disciplinary research. 3
PLO06 Bilgi - Kuramsal, Olgusal The students gain technical competence and skills in using recent GIS and remote sensing software.
PLO07 Bilgi - Kuramsal, Olgusal The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. 5
PLO08 Yetkinlikler - Öğrenme Yetkinliği Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. 4
PLO09 Yetkinlikler - Öğrenme Yetkinliği Students can generate data for GIS projects using Remote Sensing techniques. 1
PLO10 Bilgi - Kuramsal, Olgusal Gains the ability to analyze and interpret geographic data with GIS techniques. 1
PLO11 Bilgi - Kuramsal, Olgusal Gains the ability of problem solving, solving, solution oriented application development. 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği Acquires the ability to acquire, evaluate, record and apply information from satellite data. 5


Week Plan

Week Topic Preparation Methods
1 Introduction Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
2 Synoptic cloud patterns Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
3 Vorticity Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
4 Vortex Development Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
5 Celluar Clouds Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
6 Jet streams Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
7 Thermal Pattern Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav
9 Surface Wind direction and speed Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
10 Winds from satellite data Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
11 Classification of storms from Infrared data Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
12 Snow cover and depth Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
13 fog and stratus Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
14 sea breeze Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
15 Basic characteristics of infrared data Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
16 interpretation of cloud forms and surface features Lecture notes and reference books Öğretim Yöntemleri:
Anlatım
17 Term Exams Lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 25 25
Total Workload (Hour) 152
Total Workload / 25 (h) 6,08
ECTS 6 ECTS

Update Time: 22.11.2022 11:43