Retrieval of carbon dioxide vertical concentration profiles from satellite data using artificial neural networks

Abstract

Abstract. In this paper, we derive vertical distributions of carbon dioxide atmospheric 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.

Strategies for Estimation of Gas Mass Flux Rate Between Surface and the Atmosphere

“…The new wave of environmental satellites already started (Clerbaux et al, 1999;Buchwitz et al, 2004;Crevoisier et al, 2004;Carvalho & Ramos, 2010). The next step is to use a cascade of inversions to estimate the surface flux.…”