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

Abstract. This paper presents the calibration and validation studies for the Radio Occultation and Heavy Precipitation experiment aboard the PAZ satellite. These studies, necessary to assess and characterize the noise level and robustness of the differential phase shift ( ΔΦ ) observable of polarimetric radio occultations (PROs), confirm the good performance of the experiment and the capability of this technique in sensing precipitation. It is shown how all the predicted effects that could have an impact into the PRO observables (e.g., effect of metallic structures nearby the antenna, the Faraday rotation at the ionosphere, signal impurities in the transmission, and altered cross-polarization isolation) are effectively calibrated and corrected, and they have a negligible effect on the final observable. The on-orbit calibration, performed using an extensive dataset of free-of-rain and low-ionospheric activity observations, is successfully used to correct all the collected observations, which are further validated against independent precipitation observations confirming the sensitivity of the observables to the presence of hydrometeors. The validation results also show how vertically averaged ΔΦ can be used as a proxy for precipitation.

[1]  M. E. Gorbunov,et al.  Canonical transform method for processing radio occultation data in the lower troposphere , 2002 .

[2]  Brian Hamilton,et al.  International Geomagnetic Reference Field: the 12th generation , 2015, Earth, Planets and Space.

[3]  Douglas Hunt,et al.  GPS profiling of the lower troposphere from space: Inversion and demodulation of the open‐loop radio occultation signals , 2006 .

[4]  Anthony J. Mannucci,et al.  Rising and setting GPS occultations by use of open‐loop tracking , 2009 .

[5]  Bodo W. Reinisch,et al.  International Reference Ionosphere 2016: From ionospheric climate to real‐time weather predictions , 2017 .

[6]  Estel Cardellach,et al.  Benefits of a Closely-Spaced Satellite Constellation of Atmospheric Polarimetric Radio Occultation Measurements , 2019, Remote. Sens..

[7]  Estel Cardellach,et al.  Separability of Systematic Effects in Polarimetric GNSS Radio Occultations for Precipitation Sensing , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[8]  F. J. Turk,et al.  Sensing Heavy Precipitation With GNSS Polarimetric Radio Occultations , 2019, Geophysical Research Letters.

[9]  Estel Cardellach,et al.  Assessment of global navigation satellite system (GNSS) radio occultation refractivity under heavy precipitation , 2018 .

[10]  Michael Murphy,et al.  The Potential for Discriminating Microphysical Processes in Numerical Weather Forecasts Using Airborne Polarimetric Radio Occultations , 2019, Remote. Sens..

[11]  W. Bertiger,et al.  A technical description of atmospheric sounding by GPS occultation , 2002 .

[12]  E. Cardellach,et al.  Probability of intense precipitation from polarimetric GNSS radio occultation observations , 2017, Quarterly journal of the Royal Meteorological Society. Royal Meteorological Society.

[13]  Antonio Rius,et al.  Sensitivity of PAZ LEO Polarimetric GNSS Radio-Occultation Experiment to Precipitation Events , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Anthony J. Mannucci,et al.  Lower troposphere refractivity bias in GPS occultation retrievals , 2003 .

[15]  J. Schofield,et al.  Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System , 1997 .

[16]  A. Kliore,et al.  The neutral atmosphere of Venus as studied with the Mariner V radio occultation experiments , 1971 .