Enrolment options
The aim of this module is to introduce students with good physics and mathematics background on relevant remote sensing techniques, applied in Meteorology, for inverse problem solving. It mainly focuses on understanding the atmosphere through remote sensing by microwave and optical (uv/visible)-infrared sensors, familiarization with using satellite remote sensing for monitoring global environment, data assimilation, and popular atmospheric remote sensing software. Having successfully completed this module, students should be able to demonstrate knowledge and understanding of:
- The atmospheric remote sensing by microwave and optical (uv/visible)-infrared sensors;
- Models and inversion methods for meteorological problem solving under remote sensing principles;
- Data assimilation, mapping and atmospheric remote sensing programs;
- Satellite remote sensing for monitoring global environment;
- Problem development and solving in relation of atmosphere;
- Dissemination and transfer of knowledge related to Principles of Applications of Remote Sensing in Meteorology;
- And enhance their knowledge transfer skills through regular oral presentations.
Resources
- In addition to regular class lecturer presentation, students are argued to search for further materials with google engines;
- Marzano, Frank S., and Guido Visconti, eds. Remote sensing of atmosphere and ocean from space: Models, instruments and techniques. Vol. 13. Springer Science & Business Media, 2006;
- Chuvieco, Emilio. Earth observation of global change: The role of satellite remote sensing in monitoring the global environment. Springer, 2008.
- Huffman RE. Atmospheric ultraviolet remote sensing. Academic Press; 1992 Oct 19.