Journal Article

A CO-based method to determine the regional biospheric signal in atmospheric CO2

Leuenberger, Markus, Brunner, Dominik, Oney, Brian, Henne, Stephan, Gruber, Nicolas

2017

Overview

Regional-scale inverse modeling of atmospheric carbon dioxide (CO 2 ) holds promise to determine the net CO 2 fluxes between the land biosphere and the atmosphere. This approach requires not only high fidelity of atmospheric transport and mixing, but also an accurate estimation of the contribution of the anthropogenic and background CO 2 signals to isolate the biospheric CO 2 signal from the atmospheric CO 2 variations. Thus, uncertainties in any of these three components directly impact the quality of the biospheric flux inversion. Here, we present and evaluate a carbon monoxide (CO)-based method to reduce these uncertainties solely on the basis of co-located observations. To this end, we use simultaneous observations of CO 2 and CO from a background observation site to determine the background mole fractions for both gases, and the regional anthropogenic component of CO together with an estimate of the anthropogenic CO/CO 2 mole fraction ratio to determine the anthropogenic CO 2 component. We apply this method to two sites of the CarboCount CH observation network on the Swiss Plateau, Beromünster and Lägern-Hochwacht, and use the high-altitude site Jungfraujoch as background for the year 2013. Since such a background site is not always available, we also explore the possibility to use observations from the sites themselves to derive the background. We contrast the method with the standard approach of isolating the biospheric CO 2 component by subtracting the anthropogenic and background components simulated by an atmospheric transport model. These tests reveal superior results from the observation-based method with retrieved wintertime biospheric signals being small and having little variance. Both observation- and model-based methods have difficulty to explain observations from late-winter and springtime pollution events in 2013, when anomalously cold temperatures and northeasterly winds tended to bring highly CO-enriched air masses to Switzerland. The uncertainty of anthropogenic CO/CO 2 emission ratios is currently the most important factor limiting the method. Further, our results highlight that care needs to be taken when the background component is determined from the site's observations. Nonetheless, we find that future atmospheric carbon monitoring efforts would profit greatly from at least measuring CO alongside CO 2 .

• Publisher: Taylor & Francis,Stockholm University Press
• Subject: Air masses / anthropogenic emissions / Anthropogenic factors / atmospheric carbon / Atmospheric models / Atmospheric transport / Atmospheric transport models / Biosphere / Carbon / Carbon dioxide / Carbon dioxide atmospheric concentrations / Carbon dioxide emissions / Carbon dioxide flux / Carbon dioxide variations / Carbon monoxide / climate change / Components / Computer simulation / Fluxes / Gases / High altitude / Human influences / inverse modeling / limited-area atmospheric modeling / measurement / Methods / Model testing / model-data fusion / Modelling / Pollution / Ratios / terrestrial biosphere / Transport / Uncertainty / Winds