Building a merged dataset from IASI and MOPITT CO Level 3 data
Résumé
Carbon monoxide (CO) is a key atmospheric compound that can be remotely sensed by satellite on the global scale. Continuous observations are available from the historical MOPITT/Terra instrument starting 2000. Since 2007, the IASI/Metop instrument series provide another homogeneous CO data record thanks to the recent reprocessing of the Metop-A and B data by EUMETSAT (CO-CDR).
Measuring the variability and trends in CO on the global scale is essential as it is an ozone and carbon dioxide precursor, and it regulates the oxidizing capacity of the troposphere through its destruction cycle involving the hydroxyl radical (OH).
Within the ESA CCI+ Ozone Precursors project, we are generating a merged CO dataset from the IASI and MOPITT data, with the aim of studying long-term variability and trends. Monthly averaged grids of CO total columns (1°x1°) are used as input. Post cloud filtering is applied on IASI grids. In this poster, we will present our first attempt to combine IASI and MOPITT level 3 datasets. Weighting monthly averages by errors, number of observations and a priori information will be tested in the process.