Information
Code | UA0016 |
Name | Meteorogical satellites and data processing |
Term | 2024-2025 Academic Year |
Semester | . Semester |
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 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 |