Articles | Volume 11, issue 10
Atmos. Meas. Tech., 11, 5865–5884, 2018
https://doi.org/10.5194/amt-11-5865-2018
Atmos. Meas. Tech., 11, 5865–5884, 2018
https://doi.org/10.5194/amt-11-5865-2018
Research article
24 Oct 2018
Research article | 24 Oct 2018

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

Yoann Tellier et al.

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Cited articles

Bösenberg, J.: Ground-based differential absorption lidar for water-vapor and temperature profiling: methodology, Appl. Optics, 37, 3845–3860, https://doi.org/10.1364/AO.37.003845, 1998. 
Chéruy, F., Scott, N. A., Armante, R., Tournier, B., and Chedin, A.: Contribution to the development of radiative transfer models for high spectral resolution observations in the infrared, J. Quant. Spectrosc. Ra., 53, 597–611, https://doi.org/10.1016/0022-4073(95)00026-H, 1995. 
Chevallier, F., Chédin, A., Chéruy, F., and Morcrette, J.-J.: TIGR-like atmospheric-profile databases for accurate radiative-flux computation, Q. J. Roy. Meteor. Soc., 126, 777–785, https://doi.org/10.1002/qj.49712656319, 2000. 
Chevallier, F., Broquet, G., Pierangelo, C., and Crisp, D.: Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements, J. Geophys. Res., 122, 7614–7629, https://doi.org/10.1002/2017JD026453, 2017. 
Ehret, G., Kiemle, C., Wirth, M., Amediek, A., Fix, A., and Houweling, S.: Space-borne remote sensing of CO2,CH4,and N2O by integrated path differential absorption lidar: a sensitivity analysis, Appl. Phys. B.-Lasers O., 90, 593–608, https://doi.org/10.1007/s00340-007-2892-3, 2008. 
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The French and German space agencies (CNES, DLR) are currently developing MERLIN, a satellite that will measure atmospheric concentration of methane, a powerful greenhouse gas. To reach the desired precision, horizontally averaging the measurements along the satellite track is performed but leads to a processing bias due to non-linear equations. This article studies the processing biases for several averaging schemes and bias correction algorithms and recommends a best approach to limit biases.