GMT725 - EARTH GRAVITY FIELD MODELING

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
EARTH GRAVITY FIELD MODELING GMT725 Any Semester/Year 3 0 3 10
PrequisitesNone
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Drill and Practice
 
Instructor (s)Assoc. Prof. Dr. Gonca OKAY AHÄ° 
Course objectiveIntroduction of Earth's static and temporal gravity field, its representations and processing. 
Learning outcomes
  1. The students who successfully completed this course learn how to:
  2. define the Earth's static and temporal gravity field and its representations, the geopotential and spherical harmonic expansions,
  3. compute the gravitational field of the Earth,
  4. use satellites in determining the gravity field, to generate static and temporal global gravity field models based on observations by the satellite gravity missions,
  5. deal with different observation types and their processing,
  6. determine the basic
Course ContentApplication of precise gravity field models. Classical observations of the Earth's gravity field. Dedicated satellite missions. Gravity field modeling from Satellite to Satellite Tracking (SST) data. Approaches to gravity field modeling. Data processing strategy. Gravity field modeling from CHAMP data. Gravity field modeling from GRACE high low-SST data. Gravity field modeling from GRACE low low-SST data. Global Earth gravity field GOCE data analysis. GOCE and its use for a high-resolution global gravity combination model. Regionally refined gravity field models from in-situ data. Validation of satellite gravity field models by regional terrestrial data sets. Geoid determination with satellite methods. 
References- Physical Geodesy, Heiskanen, W. E., Moritz, H., W.H. Freeman and Company, San Francisco, London, (1967).
- Gravimetry, Torge, W., W. de Gruyter, Berlin - New York, (1989).
- Advanced Physical Geodesy, Moritz, H., H. Wichman Verlag, Karlsruhe, (1980).
- Methods for the Study of the External Gravitational Field and Figure of the Earth Molodensky, M. S., Eremeev, V. F., Yurkina, M. I., Israel Program of Scientific Translations, Jerusalem (Transl. from Russian), (1962).
- Physical geodesy, Hofmann-Wellenhof, B. Moritz, H., Springer-Verlag Wien GmbH. Second, revised edition, (2006). 

Course outline weekly

WeeksTopics
Week 1Application of precise gravity field models, Classical observations of the Earth?s gravity field
Week 2Dedicated satellite missions: CHAMP, GRACE and GOCE
Week 3Gravity field modeling from Satellite to Satellite (SST) data (gravity field and its functionals, reference frames, precise orbit determination)
Week 4Gravity field modeling from Satellite to Satellite (SST) data (gravity field and its functionals, reference frames, precise orbit determination)
Week 5Approaches to gravity field modeling from SST data
Week 6Data processing strategy for SST data (solution of Gauss-Markof Least-Squares parameter estimation model, synthesis and co-synthesis, data weighting, computation of residual accelerations)
Week 7Gravity field modeling from CHAMP data (motivations to refine the data processing strategy, orbit smoothing for computing reference accelerations, noise estimation)
Week 8Gravity field modeling from GRACE high-low-SST data (derivation of inter-satellite accelerations, computation of the reference inter-satellite accelerations, processing of non-gravitational inter-satellite accelerations)
Week 9Gravity field modeling from GRACE low-low-SST data (functional models, data processing methodology, least-squares adjustment)
Week 10Midterm Exam
Week 11From calibrated measurements to the global Earth gravity field GOCE data analysis
Week 12GOCE and its use for a high-resolution global gravity combination model
Week 13Regionally refined gravity field models from in-situ data
Week 14Validation of satellite gravity field models by regional terrestrial data sets
Week 15Preparation for the final exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments520
Presentation00
Project00
Seminar00
Midterms130
Final exam150
Total100
Percentage of semester activities contributing grade succes650
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation000
Project000
Homework assignment51260
Midterms (Study duration)12828
Final Exam (Study duration) 13030
Total Workload3583300

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Advances contemporary knowledge in the field of geomatics engineering based on novel thinking and research.   X 
2. Possesses creative and critical thinking, problem solving, and decision making abilities.    X
3. Conducts a thorough novel research from scratch independently.  X  
4. Acquires interdisciplinary knowledge of common terminology and joint working culture.  X  
5. Cooperates with national and international scientific research groups.    X
6. Attains the capacity to publish an international peer-reviewed journal manuscript.   X  
7. Maintains ethical responsibility.    X 
8. Obtains the skills to teach undergraduate and graduate level courses offered in geomatics engineering.  X  
9. Conducts verbal-written communication, surveys the literature, and prepares thesis in advanced level English.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest