Articles | Volume 11, issue 8
Atmos. Meas. Tech., 11, 4867–4882, 2018
https://doi.org/10.5194/amt-11-4867-2018
Atmos. Meas. Tech., 11, 4867–4882, 2018
https://doi.org/10.5194/amt-11-4867-2018

Research article 24 Aug 2018

Research article | 24 Aug 2018

Comparison study of COSMIC RO dry-air climatologies based on average profile inversion

Julia Danzer et al.

Related authors

A simulation study with a new residual ionospheric error model for GPS radio occultation climatologies
J. Danzer, S. B. Healy, and I. D. Culverwell
Atmos. Meas. Tech., 8, 3395–3404, https://doi.org/10.5194/amt-8-3395-2015,https://doi.org/10.5194/amt-8-3395-2015, 2015
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

Angling, M. J., Elvidge, S., and Healy, S. B.: Improved model for correcting the ionospheric impact on bending angle in radio occultation measurements, Atmos. Meas. Tech., 11, 2213–2224, https://doi.org/10.5194/amt-11-2213-2018, 2018. a
Anthes, R. A.: Exploring Earth's atmosphere with radio occultation: contributions to weather, climate and space weather, Atmos. Meas. Tech., 4, 1077–1103, https://doi.org/10.5194/amt-4-1077-2011, 2011. a
Ao, C. O., Mannucci, A. J., and Kursinski, E. R.: Improving GPS Radio Occultation Stratospheric Refractivity Retrievals for Climate Benchmarking, Geophys. Res. Lett., 39, 12, https://doi.org/10.1029/2012GL051720, 2012. a
Cardinali, C.: Monitoring the observation impact on the short-range forecast, Q. J. Roy. Meteor. Soc., 135, 239–250, 2009. a
Culverwell, I. D., Lewis, H. W., Offiler, D., Marquardt, C., and Burrows, C. P.: The Radio Occultation Processing Package, ROPP, Atmos. Meas. Tech., 8, 1887–1899, https://doi.org/10.5194/amt-8-1887-2015, 2015. a
Download
Short summary
Recently a new approach for the production of RO climatologies has been proposed. The idea is to propagate mean bending angle profiles through processing and retrieve directly climatological products of refractivity, density, pressure, and temperature. The averaging suppresses noise in the data, allowing the bending angles to be used up to 80 km without the need for background information. This work focuses on the comparison of the new climatologies between two processing centers.