Remote sensing research focuses on measuring and interpreting radiation from Earth and space to understand physical processes without direct contact. In atmospheric science, a central goal is to retrieve temperature, gas concentrations and cloud properties from satellite or ground based radiance measurements. This requires detailed modeling of radiative transfer, including how gases, aerosols and clouds absorb and scatter light across different wavelengths.

A key challenge is solving the inverse problem: going from measured radiances back to vertical profiles of atmospheric properties. This is complicated by overlapping absorption features, limited spectral resolution and measurement noise. Researchers develop optimal estimation and other statistical techniques to infer the most likely atmospheric state along with rigorous uncertainty estimates. High spectral resolution infrared and microwave sensors are especially important for profiling temperature and humidity, while ultraviolet and visible sensors are vital for monitoring ozone, aerosols and trace gases.

Accurate spectroscopy underpins this work. Laboratory measurements and theoretical calculations define line shapes, pressure broadening and continuum absorption for gases such as water vapour, carbon dioxide and oxygen. These parameters feed into high precision radiative transfer codes that simulate what satellites should see.

Current research topics include improving cloud and aerosol retrievals in complex scenes, enhancing vertical resolution of atmospheric profiles, and combining observations from multiple instruments and viewing geometries. There is also strong emphasis on validating remote sensing products through comparison with in situ data and ground based remote sensors. Overall, the research aims to transform raw radiance measurements into reliable geophysical information to support weather prediction, climate monitoring and air quality assessment.