On the ability of space-based passive and active remote sensing observations of CO2 to detect flux perturbations to the carbon cycle

• Published in: Journal of Geophysical Research: Atmospheres
• Main Authors: Crowell, Sean M. R., Kawa, S. Randolph, Browell, Edward V., Hammerling, Dorit M., Moore, Berrien, Schaefer, Kevin, Doney, Scott C.
• Format: Article in Journal/Newspaper
• Language: English
• Published: John Wiley & Sons 2018
• Subjects: ASCENDS; OCO-2; Permafrost; Carbon emissions; Satellite remote sensing; Fossil fuel; permafrost
• Online Access: https://hdl.handle.net/1912/9629

Author Posting. © American Geophysical Union, 2018. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Atmospheres 123 (2018): 1460–1477, doi:10.1002/2017JD027836. Space-borne observations of CO2 are vital to gaining understanding of the carbon cycle in regions of the world that are difficult to measure directly, such as the tropical terrestrial biosphere, the high northern and southern latitudes, and in developing nations such as China. Measurements from passive instruments such as GOSAT and OCO-2, however, are constrained by solar zenith angle limitations as well as sensitivity to the presence of clouds and aerosols. Active measurements such as those in development for the Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) mission show strong potential for making measurements in the high-latitude winter and in cloudy regions. In this work we examine the enhanced flux constraint provided by the improved coverage from an active measurement such as ASCENDS. The simulation studies presented here show that with sufficient precision, ASCENDS will detect permafrost thaw and fossil fuel emissions shifts at annual and seasonal time scales, even in the presence of transport errors, representativeness errors, and biogenic flux errors. While OCO-2 can detect some of these perturbations at the annual scale, the seasonal sampling provided by ASCENDS provides the stronger constraint. NASA Grant Numbers: NNX15AJ27G, NNX15AH13G 2018-07-29