Articles | Volume 8, issue 8
Atmos. Meas. Tech., 8, 3395–3404, 2015
https://doi.org/10.5194/amt-8-3395-2015

Special issue: Observing Atmosphere and Climate with Occultation Techniques...

Atmos. Meas. Tech., 8, 3395–3404, 2015
https://doi.org/10.5194/amt-8-3395-2015

Research article 21 Aug 2015

Research article | 21 Aug 2015

A simulation study with a new residual ionospheric error model for GPS radio occultation climatologies

J. Danzer et al.

Related authors

Comparison study of COSMIC RO dry-air climatologies based on average profile inversion
Julia Danzer, Marc Schwärz, Veronika Proschek, Ulrich Foelsche, and Hans Gleisner
Atmos. Meas. Tech., 11, 4867–4882, https://doi.org/10.5194/amt-11-4867-2018,https://doi.org/10.5194/amt-11-4867-2018, 2018
Short summary
CHAMP climate data based on the inversion of monthly average bending angles
J. Danzer, H. Gleisner, and S. B. Healy
Atmos. Meas. Tech., 7, 4071–4079, https://doi.org/10.5194/amt-7-4071-2014,https://doi.org/10.5194/amt-7-4071-2014, 2014
Influence of changes in humidity on dry temperature in GPS RO climatologies
J. Danzer, U. Foelsche, B. Scherllin-Pirscher, and M. Schwärz
Atmos. Meas. Tech., 7, 2883–2896, https://doi.org/10.5194/amt-7-2883-2014,https://doi.org/10.5194/amt-7-2883-2014, 2014
Systematic residual ionospheric errors in radio occultation data and a potential way to minimize them
J. Danzer, B. Scherllin-Pirscher, and U. Foelsche
Atmos. Meas. Tech., 6, 2169–2179, https://doi.org/10.5194/amt-6-2169-2013,https://doi.org/10.5194/amt-6-2169-2013, 2013

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry
Xingou Xu and Ad Stoffelen
Atmos. Meas. Tech., 14, 7435–7451, https://doi.org/10.5194/amt-14-7435-2021,https://doi.org/10.5194/amt-14-7435-2021, 2021
Short summary
Evaluation of convective boundary layer height estimates using radars operating at different frequency bands
Anna Franck, Dmitri Moisseev, Ville Vakkari, Matti Leskinen, Janne Lampilahti, Veli-Matti Kerminen, and Ewan O'Connor
Atmos. Meas. Tech., 14, 7341–7353, https://doi.org/10.5194/amt-14-7341-2021,https://doi.org/10.5194/amt-14-7341-2021, 2021
Short summary
Four-dimensional mesospheric and lower thermospheric wind fields using Gaussian process regression on multistatic specular meteor radar observations
Ryan Volz, Jorge L. Chau, Philip J. Erickson, Juha P. Vierinen, J. Miguel Urco, and Matthias Clahsen
Atmos. Meas. Tech., 14, 7199–7219, https://doi.org/10.5194/amt-14-7199-2021,https://doi.org/10.5194/amt-14-7199-2021, 2021
Short summary
Correction of wind bias for the lidar on board Aeolus using telescope temperatures
Fabian Weiler, Michael Rennie, Thomas Kanitz, Lars Isaksen, Elena Checa, Jos de Kloe, Ngozi Okunde, and Oliver Reitebuch
Atmos. Meas. Tech., 14, 7167–7185, https://doi.org/10.5194/amt-14-7167-2021,https://doi.org/10.5194/amt-14-7167-2021, 2021
Short summary
Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements
Xinyan Li, Yuanjian Yang, Jiaqin Mi, Xueyan Bi, You Zhao, Zehao Huang, Chao Liu, Lian Zong, and Wanju Li
Atmos. Meas. Tech., 14, 7007–7023, https://doi.org/10.5194/amt-14-7007-2021,https://doi.org/10.5194/amt-14-7007-2021, 2021
Short summary

Cited articles

Ao, C. O., Mannucci, A. J., and Kursinski, E. R.: Improving GPS radio occultation stratospheric refractivity retrievals for climate benchmarking, Geophys. Res. Lett., 39, L12701, https://doi.org/10.1029/2012GL051720, 2012.
Cardinali, C. and Healy, S.: Impact of GPS radio occultation measurements in the ECMWF system using adjoint-based diagnostics, Q. J. Roy. Meteor. Soc., 140, 2315–2320, https://doi.org/10.1002/qj.2300, 2014.
Danzer, J.: Testing a new model for the residual ionospheric correction error in GPS radio occultation retrievals, Tech. rep., ROM SAF, CDOP-2 Visiting Scientist Report 23, Ref: SAF/ROM/DMI/REP/VS/24, available at: http://www.romsaf.org, last access: September 2014.
Danzer, J., Scherllin-Pirscher, B., and Foelsche, U.: Systematic residual ionospheric errors in radio occultation data and a potential way to minimize them, Atmos. Meas. Tech., 6, 2169–2179, https://doi.org/10.5194/amt-6-2169-2013, 2013.
Danzer, J., Gleisner, H., and Healy, S. B.: CHAMP climate data based on the inversion of monthly average bending angles, Atmos. Meas. Tech., 7, 4071–4079, https://doi.org/10.5194/amt-7-4071-2014, 2014.