Articles | Volume 14, issue 6
Atmos. Meas. Tech., 14, 4721–4736, 2021

Special issue: Aeolus data and their application (AMT/ACP/WCD inter-journal...

Atmos. Meas. Tech., 14, 4721–4736, 2021

Research article 28 Jun 2021

Research article | 28 Jun 2021

Sensitivity of Aeolus HLOS winds to temperature and pressure specification in the L2B processor

Matic Šavli et al.

Related authors

Toward a variational assimilation of polarimetric radar observations in a convective-scale numerical weather prediction (NWP) model
Guillaume Thomas, Jean-François Mahfouf, and Thibaut Montmerle
Atmos. Meas. Tech., 13, 2279–2298,,, 2020
Short summary
Impact of additional AMDAR data in the AROME-France model during May 2017
Alexis Doerenbecher and Jean-François Mahfouf
Adv. Sci. Res., 16, 215–222,,, 2019
Short summary
Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area
Clément Albergel, Simon Munier, Delphine Jennifer Leroux, Hélène Dewaele, David Fairbairn, Alina Lavinia Barbu, Emiliano Gelati, Wouter Dorigo, Stéphanie Faroux, Catherine Meurey, Patrick Le Moigne, Bertrand Decharme, Jean-Francois Mahfouf, and Jean-Christophe Calvet
Geosci. Model Dev., 10, 3889–3912,,, 2017
Short summary
The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France
David Fairbairn, Alina Lavinia Barbu, Adrien Napoly, Clément Albergel, Jean-François Mahfouf, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 21, 2015–2033,,, 2017
Short summary
A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz
Hélène Brogniez, Stephen English, Jean-François Mahfouf, Andreas Behrendt, Wesley Berg, Sid Boukabara, Stefan Alexander Buehler, Philippe Chambon, Antonia Gambacorta, Alan Geer, William Ingram, E. Robert Kursinski, Marco Matricardi, Tatyana A. Odintsova, Vivienne H. Payne, Peter W. Thorne, Mikhail Yu. Tretyakov, and Junhong Wang
Atmos. Meas. Tech., 9, 2207–2221,,, 2016
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Intercomparison review of IPWV retrieved from INSAT-3DR sounder, GNSS and CAMS reanalysis data
Ramashray Yadav, Ram Kumar Giri, and Virendra Singh
Atmos. Meas. Tech., 14, 4857–4877,,, 2021
Short summary
Airborne lidar observations of wind, water vapor, and aerosol profiles during the NASA Aeolus calibration and validation (Cal/Val) test flight campaign
Kristopher M. Bedka, Amin R. Nehrir, Michael Kavaya, Rory Barton-Grimley, Mark Beaubien, Brian Carroll, James Collins, John Cooney, G. David Emmitt, Steven Greco, Susan Kooi, Tsengdar Lee, Zhaoyan Liu, Sharon Rodier, and Gail Skofronick-Jackson
Atmos. Meas. Tech., 14, 4305–4334,,, 2021
Short summary
Improved method of estimating temperatures at meteor peak heights
Emranul Sarkar, Alexander Kozlovsky, Thomas Ulich, Ilkka Virtanen, Mark Lester, and Bernd Kaifler
Atmos. Meas. Tech., 14, 4157–4169,,, 2021
Short summary
Error analyses of a multistatic meteor radar system to obtain a three-dimensional spatial-resolution distribution
Wei Zhong, Xianghui Xue, Wen Yi, Iain M. Reid, Tingdi Chen, and Xiankang Dou
Atmos. Meas. Tech., 14, 3973–3988,,, 2021
Validation of wind measurements of two mesosphere–stratosphere–troposphere radars in northern Sweden and in Antarctica
Evgenia Belova, Peter Voelger, Sheila Kirkwood, Susanna Hagelin, Magnus Lindskog, Heiner Körnich, Sourav Chatterjee, and Karathazhiyath Satheesan
Atmos. Meas. Tech., 14, 2813–2825,,, 2021
Short summary

Cited articles

Courtier, P., Freydier, C., Geleyn, J.-F., Rabier, F., and Rochas, M.: The Arpege Project at Météo-France, in: Proc ECMWF Workshop, Numerical methods in atmospheric modelling, 9–13 September 1991, Shinfield Park, Reading, UK, ECMWF, vol. 2, 193–232, 1991. a
Dabas, A., Denneulin, M. L., Flamant, P., Loth, C., Garnier, A., and Dolfi-Bouteyre, A.: Correcting Winds Measured with a Rayleigh Doppler Lidar from Pressure and Temperature Effects, Tellus A, 60 A, 206–215,, 2008. a, b, c, d, e, f, g
De Kloe, J., Stoffelen, A., Rennie, M., Tand, D., Andersson, E., Dabas, A., Poli, P., and Hubert, D.: ADM-Aeolus Level-2B/2C Processor Input/Output Data Definitions Interface Control Document, Documentation for Level-2B processor version 3.30, available at: (last access: 17 May 2021), 2020. a
ESA: ADM-Aeolus Mission Requirements Document, Tech. Rep. EOP-SM/2047, ESA, available at: (last access: 17 May 2021), 2016. a
ESA: Aeolus Online Dissemination System, available at:, last access: 27 November 2020. a
Short summary
The ESA's Aeolus satellite wind retrieval is provided through a series of processors. It depends on the temperature and pressure specification, which, however, are not measured by the satellite. The numerical weather predicted values are used instead, but these are erroneous. This article studies the sensitivity of the wind retrieval by introducing errors in temperature and pressure. This has been found to be small for Aeolus but is expected to be more crucial for future missions.