Submission of abstracts is NOW CLOSED.
Check back in mid-October for oral and poster presentation guidelines.

1) Applications of Remote Sensing  
This session focuses on the applications of remote sensing for weather and climate, with topics including but not limited to: 
• Using remote sensing methods to better understand the formation and decay of weather systems on different scales 
• Present state of observing air-sea interactions pertaining to the development of tropical and extra-tropical systems 
• Space-borne observations of lightning, radiative transfer, cloud-aerosol interactions and terrestrial changes 
• GOES-16 observations of weather systems 

2) Cloud Microphysics and Chemistry 
Cloud microphysical research is crucial for refining quantitative precipitation forecasts, reducing uncertainties in cloud-aerosol feedbacks on anthropogenic radiative forcing, and improving understanding of aerosol physics. Key areas of research include: 
• In-situ and airborne measurement techniques of cloud and precipitation properties and their uncertainties 
• Field campaign studies focused on cloud microphysics 
• Cloud and precipitation chemistry 
• Cloud-aerosol interactions  
• Microphysical modeling 

3) Energy, Environment and Society 
Rapidly growing population centers pose difficult socioeconomic and environmental challenges. Submissions concerning advances in observational and modeling research covering local to global scales are invited for the following areas: 
• Hydrology, agriculture, and ecology 
• Pollution and biogeochemistry 
• Societal, economic, and health impacts of urbanization  
• Influence of urbanization on weather and climate 
• Future role of fossil fuels and/or renewable energy 

4) Variability and Predictability in the Earth System 
Advances in numerical modeling and a better understanding of the Earth system variability are essential for minimizing uncertainties and biases in short- and long-term prediction. Abstracts are invited for, but are not limited to, the following topics: 
• Changes in short- and long-term variability of the atmosphere, ocean, cryosphere, and land surface 
• Improving parameterizations for simulating processes on all scales 
• Forecasting techniques and nowcasting tools used in short-term weather prediction 

5) Data Science and Visualization  
Big data, data fusion, and machine learning techniques have proven to be highly useful in bridging the gap between observations and modeling of physical processes. We welcome abstracts including, but not limited to: 
• Development of applications for processing, calibrating, and analyzing observations 
• Application of data assimilation in model development and performance 
• Three-dimensional simulations of mesoscale phenomena 
• Advances in high-resolution modeling 
• Visualization techniques of weather and climate