Thermodynamic trends and Clear-Sky Longwave Feedbacks from 20 years of AIRS Observations
Sergio
DeSouza-Machado
JCET/GESTAR2, University of Maryland, Baltimore County, Baltimore MD
Poster
We use radiance trends derived from 20 years of AIRS L1c de-seasonalized radiance anomalies to derive thermodynamic trends (temperature, water vapor and ozone) using an Optimal Estimation retrieval. Globally averaged Longwave Feedback values are computed from these trends. Our work is compared to trends and feedback values computed from ERA5/MERRA2, AIRS L3/CLIMCAPS L3 and CMIP6 monthly model and data fields
Poster file