Ground-based remote sensing measurements of CO2 and CH4 using the moon as light source during the polar night

• Applicant: Professor Dr. Justus Notholt
• Subject Area: Atmospheric Science
• Term: from 2011 to 2015
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 196775932

Throughout the last years measurement techniques have been developed to measure total columns of atmospheric CO2 and CH4 with sufficient precision using the ground-based solar absorption remote sensing spectrometry in the near-infrared spectral region. These observations are internationally organized in the Total Column Carbon Observing Network (TCCON). These observations have been initiated for the satellite validation, because they sample the atmosphere in a similar way as satellites. However, the measurements itself have been found extremely valuable to investigate the sources and sinks of the trace gases, because the interpretation of the ground-based total column data depend to a less extent on assumptions on the vertical mixing in the atmosphere compared to surface in-situ data. We perform such observations at our site in the high Arctic on Spitsbergen (79°N). However, during the polar night from October until mid March no observations can be performed, because the sun is below the horizon. Since the seasonal cycle of CO2 is largest in the high northern latitudes the lack of total column data for the winter period limits our understanding of the carbon budget. Within this project we plan to modify the measurement and analysis technique to measure the total columns of CO2 and CH4 in the near-infrared using the moon as light source during the polar night. This will allow us to perform observations on ±3 days around full moon, and thus, obtain data throughout the polar night for about three full moon periods. This allows measuring the complete seasonal cycle of total column measurements of CO2 and CH4 in the high Arctic, which is not known so far. Finally, the whole set of data will be compared to the existing in-situ surface data at that site and both data sets, in-situ and total column, will be compared with appropriate models.

• DFG Programme: Research Grants