Remote Sensing of Clouds and the Atmosphere XXX

This conference focuses on methods, underlying technologies, and applications of remote sensing of clouds and Earth and planetary atmospheres, including the following topics:

• cloud detection, profiling and characterization
• cloud modelling
• cloud screening
• gas measurements and retrieval from ground, air and space
• aerosol detection, measurements and retrieval from ground, air and space
• assimilation of remote sensing data of clouds, aerosols and trace gases into meteorological, transport, and air-quality models
• remote sensing of constituents, dynamical and electrical structure, and wave motions of the upper atmosphere
• studies of middle and upper atmosphere variability and climatology
• hyperspectral data processing
• deep learning, machine learning, handling and processing big data as well as integration of monitoring methodologies.

• Earth radiation budget
• 3D radiative transfer and approximation methods
• retrieval methods, profiling, and data assimilation
• atmospheric correction
• non-LTE radiative effects and radiative transfer codes
• non-LTE retrieval methods.

• lidar (elastic backscatter, Raman, DIAL, etc.) methods for aerosol, cloud and gas measurements
• advances in laser sources for lidar sensing of clouds, aerosols and gases from ground, airborne and space-borne platform
• radar profiling of cloud parameters
• remote sensing by FTIR, DOAS and other spectroscopic techniques
• satellite retrievals (infrared, microwave) targeting the upper troposphere and lower stratosphere (MIPAS, ACE-FTS, MLS, OMPS, etc.)
• advances in detectors for remote sensing systems of clouds and the atmosphere
• advances in retrieval methods
• synergy between different types of instruments
• calibration/validation of satellite retrievals of atmospheric variables
• low-cost sensor networking and interplay with mobile devices (including unmanned aerial vehicles), trace compound retrieval and remote sensing from ground, air and space, food and water security, predicting and monitoring natural disasters(wildfire, landslides, floods, etc.), search and rescue.

• weather forecast and climate trends
• air pollution monitoring, forecast and modelling, including data and information fusion
• measurement of industrial, agricultural, biomass, and volcanic emissions and transport, including determination of emission source strengths
• environmental, disaster, and fire monitoring
• improvement of agri-food production systems
• applications of small satellites (microsats, nanosats, cubesats) to remote sensing of the atmosphere.
• studies of ice sheets (Cryosat, ICESat, IceBridge, GRACE, IceCube, etc.) and snow cover dynamics.