Articles | Volume 14, issue 4
https://doi.org/10.5194/amt-14-2737-2021
https://doi.org/10.5194/amt-14-2737-2021
Research article
 | 
08 Apr 2021
Research article |  | 08 Apr 2021

Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling

Ayham Alyosef, Domenico Cimini, Lorenzo Luini, Carlo Riva, Frank S. Marzano, Marianna Biscarini, Luca Milani, Antonio Martellucci, Sabrina Gentile, Saverio T. Nilo, Francesco Di Paola, Ayman Alkhateeb, and Filomena Romano

Related authors

Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models
Edoardo Raparelli, Paolo Tuccella, Valentina Colaiuda, and Frank S. Marzano
The Cryosphere, 17, 519–538, https://doi.org/10.5194/tc-17-519-2023,https://doi.org/10.5194/tc-17-519-2023, 2023
Short summary
Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations
Simone Kotthaus, Juan Antonio Bravo-Aranda, Martine Collaud Coen, Juan Luis Guerrero-Rascado, Maria João Costa, Domenico Cimini, Ewan J. O'Connor, Maxime Hervo, Lucas Alados-Arboledas, María Jiménez-Portaz, Lucia Mona, Dominique Ruffieux, Anthony Illingworth, and Martial Haeffelin
Atmos. Meas. Tech., 16, 433–479, https://doi.org/10.5194/amt-16-433-2023,https://doi.org/10.5194/amt-16-433-2023, 2023
Short summary
Investigating 3D and 4D variational rapid-update-cycling assimilation of weather radar reflectivity for a heavy rain event in central Italy
Vincenzo Mazzarella, Rossella Ferretti, Errico Picciotti, and Frank Silvio Marzano
Nat. Hazards Earth Syst. Sci., 21, 2849–2865, https://doi.org/10.5194/nhess-21-2849-2021,https://doi.org/10.5194/nhess-21-2849-2021, 2021
Short summary
Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study
Pauline Martinet, Domenico Cimini, Frédéric Burnet, Benjamin Ménétrier, Yann Michel, and Vinciane Unger
Atmos. Meas. Tech., 13, 6593–6611, https://doi.org/10.5194/amt-13-6593-2020,https://doi.org/10.5194/amt-13-6593-2020, 2020
Short summary
RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability
Domenico Cimini, James Hocking, Francesco De Angelis, Angela Cersosimo, Francesco Di Paola, Donatello Gallucci, Sabrina Gentile, Edoardo Geraldi, Salvatore Larosa, Saverio Nilo, Filomena Romano, Elisabetta Ricciardelli, Ermann Ripepi, Mariassunta Viggiano, Lorenzo Luini, Carlo Riva, Frank S. Marzano, Pauline Martinet, Yun Young Song, Myoung Hwan Ahn, and Philip W. Rosenkranz
Geosci. Model Dev., 12, 1833–1845, https://doi.org/10.5194/gmd-12-1833-2019,https://doi.org/10.5194/gmd-12-1833-2019, 2019
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Detection and localization of F-layer ionospheric irregularities with the back-propagation method along the radio occultation ray path
Vinícius Ludwig-Barbosa, Joel Rasch, Thomas Sievert, Anders Carlström, Mats I. Pettersson, Viet Thuy Vu, and Jacob Christensen
Atmos. Meas. Tech., 16, 1849–1864, https://doi.org/10.5194/amt-16-1849-2023,https://doi.org/10.5194/amt-16-1849-2023, 2023
Short summary
Observations of anomalous propagation over waters near Sweden
Lars Norin
Atmos. Meas. Tech., 16, 1789–1801, https://doi.org/10.5194/amt-16-1789-2023,https://doi.org/10.5194/amt-16-1789-2023, 2023
Short summary
Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence
Mathieu Ratynski, Sergey Khaykin, Alain Hauchecorne, Robin Wing, Jean-Pierre Cammas, Yann Hello, and Philippe Keckhut
Atmos. Meas. Tech., 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023,https://doi.org/10.5194/amt-16-997-2023, 2023
Short summary
Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach
Anne-Claire Billault-Roux, Gionata Ghiggi, Louis Jaffeux, Audrey Martini, Nicolas Viltard, and Alexis Berne
Atmos. Meas. Tech., 16, 911–940, https://doi.org/10.5194/amt-16-911-2023,https://doi.org/10.5194/amt-16-911-2023, 2023
Short summary
High-resolution 3D winds derived from a modified WISSDOM synthesis scheme using multiple Doppler lidars and observations
Chia-Lun Tsai, Kwonil Kim, Yu-Chieng Liou, and GyuWon Lee
Atmos. Meas. Tech., 16, 845–869, https://doi.org/10.5194/amt-16-845-2023,https://doi.org/10.5194/amt-16-845-2023, 2023
Short summary

Cited articles

Acosta, R. J., Nessel, J. A., Simons, R. N., Zemba, M. J., Morse, J. R., and Budinger J. M.: W/V-Band RF Propagation Experiment Design, 18th Ka and Broadband Communication Conference, available at: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20120016067.pdf (last access: 31 July 2020), Ottawa, Canada, 24 September 2012, 2012. 
Bevington, P. R. and Keith Robinson, D.: Data Reduction and Error Analysis for the Physical Sciences (3rd Edition), ISBN 0-07-247227-8, McGraw-Hill, New York, NY 10020, USA, 2003. 
Biscarini, M. and Marzano, F. S.: Generalized Parametric Prediction Model of the Mean Radiative Temperature for Microwave Slant Paths in All-Weather Condition, IEEE T. Antenn. Propag., 68, 1031–1043, 2020. 
Biscarini, M., Montopoli, M., and Marzano, F. S.: Evaluation of High-Frequency Channels for Deep-Space Data Transmission Using Radiometeorological Model Forecast, IEEE T. Antenn. Propag., 65, 1311–1320, 2017. 
Biscarini, M., Milani, L., Montopoli, M., De Sanctis, K., Di Fabio, S., Magde, K. M., Brost, G. A., and Marzano, F. S.: Exploiting Tropospheric Measurements From Sun-Tracking Radiometer for Radiopropagation Models at Centimeter and Millimeter Wave, IEEE J. Sel. Top. Appl., 12, 1697–1708, 2019. 
Download
Short summary
Telecommunication is based on the propagation of radio signals through the atmosphere. The signal power diminishes along the path due to atmospheric attenuation, which needs to be estimated to be accounted for. In a study funded by the European Space Agency, we demonstrate an innovative method improving atmospheric attenuation estimates from ground-based radiometric measurements by 10–30 %. More accurate atmospheric attenuation estimates imply better telecommunication services in the future.