Primary Convener:
Oleg Dubovik, CNRS

Convener:
Feng Xu, University of Oklahoma
Ping Yang, Texas A&M Univ
Reed Espinosa, NASA Goddard Space Flight Center
Pengwang Zhai, Goddard Earth Sciences Technology and Research (GESTAR) II

Early Career Convener:
Reed Espinosa, NASA Goddard Space Flight Center

Chair:
Oleg Dubovik, Laboratoire d'Optique Atmosphérique
Feng Xu, University of Oklahoma
Reed Espinosa, NASA Goddard Space Flight Center
Pengwang Zhai, Goddard Earth Sciences Technology and Research (GESTAR) II
Ping Yang, Texas A&M Univ

Radiation measurements from satellites, aircraft and the ground have been successfully employed for characterizing radiative properties of aerosols, clouds, atmospheric gases, land, and ocean. One of the challenges is the development of reliable remote sensing algorithms for environmental variables from the observations. There are two aspects of the remote sensing algorithms, forward and inversion models. Forward models include light scattering and radiative transfer simulations, and inversion models drive the forward model in fitting the measurement data. This session is dedicated to both forward and inversion model developments, including the various aspects of numerical techniques that improve the retrieved atmospheric products. We encourage explorations of new retrieval concept and improved products such as aerosol types and profiles, surface particulate matter, trace gas, clouds, and land and ocean properties for existing and next generation of satellite missions and ground-based networks.

Index Terms
0305 Aerosols and particles
0321 Cloud|radiation interaction
0360 Radiation: transmission and scattering
0394 Instruments and techniques
3311 Clouds and aerosols
0619 Electromagnetic theory
4264 Ocean optics

Suggested Itineraries:
Climate Change and Global Policy
Machine Learning and AI

Neighborhoods:
3. Earth Covering