Information
Course Code | AME12 |
Semester | 1 |
Category | |
ECTS Credits | 10 |
Eclass |
Professors
Proposed Bibliography
Course Description
- The atmospheric variables and their metrics.
- Definition of Calibration – Examples
- Data Collection Systems – Programming – Acquisition of primary measurements.
- Quality Control of Atmospheric Data.
- Atmospheric Parameters Databases
- The most important databases of atmospheric data.
- Data acquisition from databases: Examples – Applications.
- Data management and visualization using R and Python programming languages.
- Atmospheric Time Series
- Definition of Time Series – Stagnation.
- Time Series Standards.
- Time Domain: Discrete and Continuous Data.
- Frequency Domain: Harmonic and Spectral Analysis.
- Applications on R and Python Programming Languages