• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Learning about the use of remote sensing in atmospheric sciences.

   Contribution to Program Outcomes

   1. Mastering Basic Earth / Marine Science Concepts by Specialization
   2. To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
   3. To be able to produce and carry out R&D projects in the field of Earth and/or Marine science in written form in detail
   4. To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science

   Method of assessment

   1. Written exam
   2. Homework assignment
2. Interpret the characteristics of geostationary and polar satellites and the use of satellite data as input to numerical weather forecasting models.

   Contribution to Program Outcomes

   1. To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
   2. To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
   3. To be able to fulfill their responsibilities fully and on time in group work and scientific projects
   4. Adopting an open approach to continuous learning and following up-to-date and reliable sources of information

   Method of assessment

   1. Homework assignment
3. Have an idea about determining weather systems from satellite images and creating climate data records from active sensors.

   Contribution to Program Outcomes

   1. Having up-to-date knowledge of Earth or Marine Science
   2. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
   3. To be able to fulfill their responsibilities fully and on time in group work and scientific projects
   4. To have a good command of Turkish and English terms related to Earth and Marine Sciences and to be able to express ideas effectively in both languages orally and in writing

   Method of assessment

   1. Homework assignment

Contents
Week 1:	Evolution of satellite meteorology and impact of satellite data on Numerical Weather Prediction Model (NWP)
Week 2:	Remote sensing of radiation and radiation laws
Week 3:	Absorption, emission, reflection, and scattering
Week 4:	The radiation budget
Week 5:	Detecting clouds, cloud mask algorithm and cloud properties
Week 6:	Sea surface temperature (SST) determination
Week 7:	Techniques for determining atmospheric parameters: total water vapor estimation, total ozone determination, geopotential height determination
Week 8:	Mid Term Exam and satellite measurement of atmospheric stability
Week 9:	Techniques for determining atmospheric motions
Week 10:	Satellite orbits: Geostationary and polar satellites
Week 11:	Weather systems observed in satellite imagery
Week 12:	Estimation of atmosphere, ocean and land parameters
Week 13:	Establishing climate data records from active sensors
Week 14:	Future scenario: New techniques in meteorological remote sensing
Week 15*:	-
Week 16*:	Final Exam
Textbooks and materials:	Remote Sensing Applications with Meteorological Satellites” by W. Paul Menzel, 2006, NOAA Satellite and Information Service, University of Wisconsin, Madison Satellite Meteorology by R. R. Kelkar, 2007, BS Publications, ISBN: 978-817800-137-1
Recommended readings:	Remote Sensing Applications with Meteorological Satellites” by W. Paul Menzel, 2006, NOAA Satellite and Information Service, University of Wisconsin, Madison Satellite Meteorology by R. R. Kelkar, 2007, BS Publications, ISBN: 978-817800-137-1
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	8	30
Other in-term studies:		0
Project:		0
Homework:	5,10,12	30
Quiz:		0
Final exam:	16	40
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	2	16
Practice, Recitation:	3	8
Homework:	4	3
Term project:	0	0
Term project presentation:	0	0
Quiz:	0	0
Own study for mid-term exam:	8	4
Mid-term:	2	1
Personal studies for final exam:	8	5
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)