Information
Course Code EIP120
Semester 1
Category Optional
ECTS Credits 7
Eclass
Professors

Proposed Bibliography

Wilks, D.S., (2006). Statistical methods in the atmospheric sciences. Academic Press, 2nd ed.,
von Storch, H., Zwiers, F.W. (1999). Statistical analysis in climate research. Cambridge University Press.

Course Description
  1. The atmospheric variables and their metrics.
    1. Definition of Calibration – Examples
    2. Data Collection Systems – Programming – Acquisition of primary measurements.
    3. Quality Control of Atmospheric Data.
  2. Atmospheric Parameters Databases
    1. The most important databases of atmospheric data.
    2. Data acquisition from databases: Examples – Applications.
  3. Data management and visualization using R and Python programming languages.
  4. Atmospheric Time Series
    1. Definition of Time Series – Stagnation.
    2. Time Series Standards.
    3. Time Domain: Discrete and Continuous Data.
    4. Frequency Domain: Harmonic and Spectral Analysis.
    5. Applications on R and Python Programming Languages