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Applied Deep Learning for summertime ozone prediction
Predicting summertime ozone using a hybrid deep learning model, with meteorological fields from the ERA5-Interim Analysis and NOx emission sections from CEDS. The figure below shows the mean observed and predicted MDA8 ozone during 2010-2014, with the error and correlation on the bottom half of the panel. The figure is from a colleagues’ paper (who’s work I continued)
Effects on middle atmospheric dynamics by energetic particle precipitation above the Antarctic
Looking for a signal of energetic particle precipitation’s effects on middle atmospheric dynamics, by analysing wind at temperature data at ~87km altitude over the Antarctic. The image below (stolen from google) broadly illustrates the phenomena of interest
