This biannual learning unit is being organized in 2020-2021
At the end of this learning unit, the student is able to :
a. Contribution of the teaching unit to the learning outcomes of the programme (PHYS2M and PHYS2M1)
AA1: A1.1, A1.5
b. Expected learning outcomes
At the end of this teaching unit, the student will be able to :
1. describe the main processes defining the trace gas composition of the upper atmosphere ;
2. understand the basic principles of atmospheric remote sensing: geometry, spectral domains and observation methods ;
3. understand the inverse problems related to ground-based and space-borne observations ;
4. assess the error budgets for several remote sensing modes and identify their intrinsic limitations ;
5. understand the design principles of a space remote sensor and its operational use.
a. atmospheric vertical structure
b. global dynamics and chemical composition
c. solar irradiance and Earth’s radiative balance
d. light-particle interaction and multiple scattering : albedo, aerosols and clouds
a. observation geometries from space : emission and absorption, nadir and limb views
b. spectrometers and imagers from UV to mm waves
c. 40 years of space remote sensing : achievements and perspectives
d. ground-based networks and validation of space observations
3. Data processing in space remote sounding
a. scope : orders of magnitude and spatio-temporal resolutions
b. atmospheric corrections
c. specific inverse methods for atmospheric remote sensing
4. Climate variables : measurements and climatologies
a. review of the main climate variables
b related open questions for atmospheric remote sensing
Due to the COVID-19 crisis, the information in this section is particularly likely to change.Lectures.
Tutorial of MODTRAN 6.
Due to the COVID-19 crisis, the information in this section is particularly likely to change.Oral examination based on a global analysis of a scientific paper describing a remote sensing space mission.