Articles | Volume 13, issue 3
Atmos. Meas. Tech., 13, 1299–1313, 2020
Atmos. Meas. Tech., 13, 1299–1313, 2020

Research article 19 Mar 2020

Research article | 19 Mar 2020

Calibration and validation of the Polarimetric Radio Occultation and Heavy Precipitation experiment aboard the PAZ satellite

Ramon Padullés et al.

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Atmospheric polarimetric effects on GNSS radio occultations: the ROHP-PAZ field campaign
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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
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Cited articles

Ao, C. O., Meehan, T. K., Hajj, G. A., and Mannucci, A. J.: Lower troposphere refractivity bias in GPS occultation retrievals, J. Geophys. Res., 108, 1–16,, 2003. a
Ao, C. O., Hajj, G. A., Meehan, T. K., Dong, D., Iijima, B. A., Mannucci, A. J., and Kursinski, E. R.: Rising and setting GPS occultations by use of open-loop tracking, J. Geophys. Res.-Atmos., 114, 1–15,, 2009. a
Bilitza, D., Altadill, D., Truhlik, V., Shubin, V., Galkin, I., Reinisch, B., and Huang, X.: International Reference Ionosphere 2016: From ionospheric climate to real-time weather predictions, Space Weather, 15, 418–429,, 2017. a
Cardellach, E., Tomás, S., Oliveras, S., Padullés, R., Rius, A., de la Torre-Juárez, M., Turk, F. J., Ao, C. O., Kursinski, E. R., Schreiner, W. S., Ector, D., and Cucurull, L.: Sensitivity of PAZ LEO Polarimetric GNSS Radio-Occultation Experiment to Precipitation Events, IEEE T. Geosci. Remote, 53, 190–206,, 2014. a, b, c, d, e, f, g, h
Cardellach, E., Padullés, R., Tomás, S., Turk, F. J., de la Torre-Juárez, M., and Ao, C. O.: Probability of intense precipitation from polarimetric GNSS radio occultation observations, Q. J. Roy. Meteor. Soc., 144, 206–220,, 2018. a
Short summary
In this study we thoroughly address the calibration and validation of the new polarimetric radio occultation (PRO) observables. These represent an innovative way to obtain vertical profiles of precipitation along with thermodynamic observations of the same scene. First we perform the on-orbit calibration of the measurement. Then, we show how the PRO observables are sensitive to the presence and intensity of rain by looking for coincident precipitation measurements from independent missions.