Radiative Processes in the Atmospher 1103-4`PRA
Program:
1. Definitions of key quantities, blackbody radiation
2. Absorption and scattering of solar and infrared radiation. Absorption spectrum of atmospheric gases, Rayleigh and MIE scattering.
3. Introduction to radiative transfer equation: Lambert-Beer low, general form of the radiative transfer equation, boundary condition at the top of the atmosphere and at the Earth's surface.
4. Approximate and accurate numerical solutions of radiative transfer equation. Monte Carlo methods, single scattering approximation, two-streams approximations, Delta-Eddington method. Discrete ordinate method.
5. Radiative transfer models: MODTRAN, Streamer, Fu-Liou
6. Introduction to the atmospheric and oceanic remote sensing.
7. Principles passive remote sensing using extinction and scattering. Remote sensing of ozone in the UV region. Ozone retrieval from TOMS and ground-based observations.
8. Ocean color characterization. Retrieve chlorophyll concentration from SeaWIFS, MODIS, and SIMBAD. Reflection from ocean surfaces. Definition of the atmospheric correction.
9. Principles passive remote sensing using emission. Radiative transfer with emission. Measurements of precipitable water vapor and sea surface temperature (SST)
10. Applications of passive remote sensing using emission to retrieve clouds microphysics properties and precipitations.
11. Remote sensing of aerosols. Overview of the MODIS, AVHRR, and MISR aerosol algorithms. Basics of aerosol optical depth and single scattering albedo retrieval.
12. Retrieval of aerosol optical properties from sun photometers observation: AERONET network. Inversion problems.
13. Principles of soundings by emission. Soundings of the temperature profile and trace gases and air pollution
14. Earth radiation budget. Satellite projects: ERBE and CERES.
15. Principles of active remote sensing. Radars. Application of radars: sensing of clouds and precipitation. Doppler radar and measurements of wind. Project Topex Poseidon to measure sea surface height.
16. Theory of lidars. Application of lidars: DIAL, aerosol, and Raman lidars in air pollution monitoring. Overview of lidar's inversion methods.
Mode
Learning outcomes
Knowledge:
1. Knowledge of modern research methods, experimental and theoretical, applied in geophysics.
2. Understand the advanced methods of analysis of geophysical data.
1. Knowledge of a basic interaction of radiation with matter, radiation transfer in the atmosphere and on the measurement techniques used in remote sensing of the atmosphere and oceans. Understands basic operation of the satellite sensors and ground-based instruments.
2. Knowledge about the inverse methods, which are used to retrieve the physical and optical properties of the atmosphere and oceans.
3. Able to use a simple method to selected inverse problem.
Skills:
1. Ability to perform, analysis and interpretation of geophysical measurements.
2. Knowledge of chosen radiative transfer model.
3. Practical skills in the basics of modelling optical properties of the atmosphere.
Personal and social competence:
1. The student can independently search for information in the literature.
2. Student is able to precisely formulate questions to deepen their understanding of the topic.
3. The student understands and appreciates the importance of intellectual honesty in the work of his own; act ethically.
Assessment criteria
Examination: oral examination represents 70% and exercises 30 % of total score.
Bibliography
K. N. Liou, An Introduction to Atmospheric Radiation.
G. W. Petty, A First Course in Atmospheric Radiation.
G. T. Thomas, K. Stamnes, Radiative Transfer in the Atmosphere and Ocean.
C. F. Bohren, D. R. Huffman, Absorption and Scattering of Light by Small Particles.
G. L. Stephens, Remote Sensing of the Lower Atmosphere. An Introduction.
M. L. Salby, Fundamentals of Atmospheric Sciences.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: