The final results of the ground-based experiment have been published, together with a new approach to invert the observables. During this year, the team has also developed the algorithms which will be used in actual data to separate the hydrometeor component of the observables (of interest) from other undesired components (systematic effects).
Padullés, R., Cardellach, E., de la Torre Juárez, M., Tomas, S., Turk, F. J., Oliveras, S., Ao, C. O., Rius, A., Atmospheric polarimetric effects on GNSS Radio Occultations: the ROHP-PAZ field campaign,Atmospheric Chemistry and Physics, 16, pp. 635-649, 2016, jan, doi:10.5194/acp-16-635-2016
Padullés, R., Cardellach, E., Rius, A., Untangling rain structure from polarimetric GNSS Radio Occultation observables: a 2D tomographic approach, European Journal of Remote Sensing, 49, pp. 571-585, 2016, doi:10.5721/EuJRS20164930
Cardellach, E., Padullés, R., Tomás, S., Turk, F. J., Ao, C. O. and de la Torre-Juárez, M. (2017), Probability of intense precipitation from polarimetric GNSS radio occultation observations. Q.J.R. Meteorol. Soc.. doi:10.1002/qj.3161
Tomás, S., R. Padullés and E. Cardellach, Separability of systematic effects in polarimetric GNSS radio-occultations for precipitation sensing, IEEE Transactions on Geoscience and Remote Sensing, (under review)
Senior Institute's members involved
E. Cardellach, S. Ribó, A. Rius