Due to the COVID-19 crisis, the information below is subject to change,
in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h
Q2
This biannual learning unit is being organized in 2020-2021
Teacher(s)
Dekemper Emmanuel;
Language
English
Main themes
Physico-chemical characteristics of the upper atmosphere and of radiative transfer of solar radiation ; ground-based and space-borne spectroscopic methods ; data processing algorithm and inverse methods.
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
a. Contribution of the teaching unit to the learning outcomes of the programme (PHYS2M and PHYS2M1) AA1: A1.1, A1.5 AA2: A2.5 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. |
Content
1. Basic concepts about the atmospheric system and radiative transfer
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
2.Observation methods
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
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
2.Observation methods
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
Teaching methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
Lectures.Integrative project.
Tutorial of MODTRAN 6.
Evaluation methods
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.
Bibliography
« Inverse Methods for Atmospheric Sounding : Theory and Practice », Clive Rodgers, World Scientific, https://doi.org/10.1142/3171.
Faculty or entity
PHYS
