Course Details
Subject {L-T-P / C} : ER5672 : Data analyses and Visualization Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Naresh Krishna Vissa
Syllabus
| Module 1 : |
Quality control methods of large data sets of satellite, in situ and modelling products. Using the meteorology and oceanography satellite products. Statistical methods of rainfall data analysis. Computation of divergence and vorticity analysis of wind products and visualize the products. |
Course Objective
| 1 . |
Main objective of the course is to deal with the quality assessment of meteorological and oceanography data sets and visualize the products using MATLAB. |
Course Outcome
| 1 . |
CO1: This course will enable the students to handle satellite meteorological and oceanography data sets.
|
Essential Reading
| 1 . |
Martin H. Trauth, MATLAB Recipes for Earth Sciences, 4e, Springer |
| 2 . |
John B. Drake, Climate Modeling for Scientists and Engineers, SIAM |
Supplementary Reading
| 1 . |
Gidon Eshel, Spatiotemporal Data Analysis, Princeton University Press |
| 2 . |
James R. Holton, Gregory J. Hakim, An Introduction to Dynamic Meteorology, 5e, Academic Press |