Articles | Volume 15, issue 22
https://doi.org/10.5194/acp-15-12845-2015
https://doi.org/10.5194/acp-15-12845-2015
Research article
 | 
19 Nov 2015
Research article |  | 19 Nov 2015

A process-based 222radon flux map for Europe and its comparison to long-term observations

U. Karstens, C. Schwingshackl, D. Schmithüsen, and I. Levin

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Cited articles

Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., and Evans, R.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, 2001.
Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., Dee, D., Dutra, E., Muñoz-Sabater, J., Pappenberger, F., de Rosnay, P., Stockdale, T., and Vitart, F.: ERA-Interim/Land: a global land surface reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389–407, https://doi.org/10.5194/hess-19-389-2015, 2015.
Born, M., Dörr, H., and Levin, I.: Methane consumption in aerated soils of the temperate zone, Tellus, 42B, 2–8, 1990.
Campoy, A., Ducharne, A., Cheruy, F., Hourdin, F., Polcher, J., and Dupont, J. C.: Response of land surface fluxes and precipitation to different soil bottom hydrological conditions in a general circulation model, J. Geophys. Res. Atmos., 118, 10725–10739, https://doi.org/10.1002/jgrd.50627, 2013.
Chevillard, A., Ciais, P., Karstens, U., Heimann, M., Schmidt, M., Levin, I., Jacob, D., and Podzun, R.: Transport of 222Rn using the on-line regional scale model REMO: A detailed comparison with measurements over Europe, Tellus, 54B, 850–871, 2002.
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Short summary
Detailed 222Rn flux maps are a prerequisite for the use of radon in atmospheric transport studies. We present a high-resolution 222Rn flux map for Europe, based on a parameterization of 222Rn production and transport in the soil. Spatial variations in 222Rn exhalation rates are determined by soil uranium content, water table depth and soil texture. Temporal variations are related to soil moisture variations as the diffusion in the soil depends on available air-filled pore space.
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