Retrieval of Carbon Dioxide Vertical Concentration Profiles from Satellite Data using Artificial Neural Networks

Abstract. In this paper, we derive vertical distributions of carbon dioxide atmo-spheric concentration from satellite data using a retrieval algorithm based on an artificial neural network (ANN) technique. Sensitivity studies were made to select the most appropriate sensor channels. A MultiLayer Perceptron (MLP) ANN was implemented and tested for a large and diversified dataset. Here we focused on the retrieval of vertical Carbon Dioxide concentration profiles using SCIAMACHY channel 6 (1000-1700 nm) nadir measurements. The results show we can accurately and efficiently obtain carbon dioxide profiles by using this approach