Articles | Volume 8, issue 8
Atmos. Meas. Tech., 8, 3385–3393, 2015
https://doi.org/10.5194/amt-8-3385-2015

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

Atmos. Meas. Tech., 8, 3385–3393, 2015
https://doi.org/10.5194/amt-8-3385-2015
Research article
21 Aug 2015
Research article | 21 Aug 2015

A modification to the standard ionospheric correction method used in GPS radio occultation

S. B. Healy and I. D. Culverwell

Related authors

An Assessment of Reprocessed GPS/MET Observations Spanning 1995–1997
Anthony James Mannucci, Chi On Ao, Byron A. Iijima, Thomas K. Meehan, Panagiotis Vergados, E. Robert Kursinski, Sean Healy, Andras Horányi, and William S. Schreiner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-241,https://doi.org/10.5194/amt-2021-241, 2021
Preprint under review for AMT
Short summary
Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications
Mi Liao, Sean Healy, and Peng Zhang
Atmos. Meas. Tech., 12, 2679–2692, https://doi.org/10.5194/amt-12-2679-2019,https://doi.org/10.5194/amt-12-2679-2019, 2019
Short summary
Improved model for correcting the ionospheric impact on bending angle in radio occultation measurements
Matthew J. Angling, Sean Elvidge, and Sean B. Healy
Atmos. Meas. Tech., 11, 2213–2224, https://doi.org/10.5194/amt-11-2213-2018,https://doi.org/10.5194/amt-11-2213-2018, 2018
Short summary
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

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Identification of tropical cyclones via deep convolutional neural network based on satellite cloud images
Biao Tong, Xiangfei Sun, Jiyang Fu, Yuncheng He, and Pakwai Chan
Atmos. Meas. Tech., 15, 1829–1848, https://doi.org/10.5194/amt-15-1829-2022,https://doi.org/10.5194/amt-15-1829-2022, 2022
Short summary
Time evolution of temperature profiles retrieved from 13 years of infrared atmospheric sounding interferometer (IASI) data using an artificial neural network
Marie Bouillon, Sarah Safieddine, Simon Whitburn, Lieven Clarisse, Filipe Aires, Victor Pellet, Olivier Lezeaux, Noëlle A. Scott, Marie Doutriaux-Boucher, and Cathy Clerbaux
Atmos. Meas. Tech., 15, 1779–1793, https://doi.org/10.5194/amt-15-1779-2022,https://doi.org/10.5194/amt-15-1779-2022, 2022
Short summary
Emissivity retrievals with FORUM's end-to-end simulator: challenges and recommendations
Maya Ben-Yami, Hilke Oetjen, Helen Brindley, William Cossich, Dulce Lajas, Tiziano Maestri, Davide Magurno, Piera Raspollini, Luca Sgheri, and Laura Warwick
Atmos. Meas. Tech., 15, 1755–1777, https://doi.org/10.5194/amt-15-1755-2022,https://doi.org/10.5194/amt-15-1755-2022, 2022
Short summary
Detecting wave features in Doppler radial velocity radar observations
Matthew A. Miller, Sandra E. Yuter, Nicole P. Hoban, Laura M. Tomkins, and Brian A. Colle
Atmos. Meas. Tech., 15, 1689–1702, https://doi.org/10.5194/amt-15-1689-2022,https://doi.org/10.5194/amt-15-1689-2022, 2022
Short summary
Remote sensing of solar surface radiation – a reflection of concepts, applications and input data based on experience with the effective cloud albedo
Richard Müller and Uwe Pfeifroth
Atmos. Meas. Tech., 15, 1537–1561, https://doi.org/10.5194/amt-15-1537-2022,https://doi.org/10.5194/amt-15-1537-2022, 2022
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.
Aparicio, J. M. and Deblonde, G.: Imapct of the assimilation of CHAMP refractivity profiles in environment Canada global forecasts, Mon. Weather Rev., 136, 257–275, 2008.
Cucurull, L., Derber, J. C., Treadon, R., and Purser, R. J.: Assimilation of Global Positioning System radio occultation observations into NCEP's global data assimilation system, Mon. Weather Rev., 135, 3174–3193, 2007.
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.
Short summary
This paper presents a new method for reducing the impact of residual ionospheric errors in geophysical climatologies derived from GPS radio occultation measurements.