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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Oct 2020

14 Oct 2020

Review status
This preprint is currently under review for the journal AMT.

Improving atmospheric path-attenuation estimates for radiopropagation applications by microwave radiometric profiling

Ayham Alyosef1, Domenico Cimini2,1, Lorenzo Luini3, Carlo Riva3, Frank S. Marzano4,1, Marianna Biscarini4,1, Luca Milani5, Antonio Martellucci5, Sabrina Gentile2,1, Saverio T. Nilo2, Francesco Di Paola2, and Filomena Romano2 Ayham Alyosef et al.
  • 1CETEMPS, University of L’Aquila, L’Aquila, 67100, Italy
  • 2CNR-IMAA, C.da S.Loja, Potenza, 85100, Italy
  • 3DEIB – IEIIT – CNR, Politecnico di Milano, Milano, 20100, Italy
  • 4DIET, Sapienza University di Roma, Rome, 00185, Italy

Abstract. Ground-based microwave radiometer (MWR) observations of downwelling brightness temperature (TB) are commonly used to estimate the atmospheric attenuation at relative transparent channels for radiopropagation and telecommunication purposes. The atmospheric attenuation is derived from TB by inverting the radiative transfer equation with a priori knowledge of the mean radiating temperature (TMR). TMR is usually estimated by either time-variant site climatology (e.g., monthly average computed from atmospheric thermodynamical profiles) or condition-variant estimation from surface meteorological sensors. However, information on TMR may also be extracted directly from MWR measurements at other channels than those used to estimate atmospheric attenuation. This paper proposes a novel approach to estimate TMR in clear and cloudy sky from independent MWR profiler measurements. A linear regression algorithm is trained with a simulated dataset obtained by processing one year of radiosonde observations of atmospheric thermodynamic profiles. The algorithm is trained to estimate TMR at K-, and V/W-band frequencies (22–31 and 72–82 GHz, respectively) from independent MWR observations at V-band (54–58 GHz). The retrieval coefficients are then applied to a one-year dataset of real V-band observations, and the estimated TMR at K- and V/W-band are compared with estimates from nearly collocated and simultaneous radiosondes. The proposed method provides TMR estimates in better agreement with radiosondes than a traditional method, with 32–38 % improvement depending on frequency. This maps into an expected improvement in atmospheric attenuation of 10–20 % for K-band and ~ 30 % for V/W-band channels.

Ayham Alyosef et al.

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Ayham Alyosef et al.

Ayham Alyosef et al.


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Latest update: 28 Oct 2020
Publications Copernicus
Short summary
Telecommunication is based on the propagation of radio signals through the atmosphere. The signal power diminishes along the path due to the atmospheric attenuation, which needs to be estimated to be accounted for. Based on ground-based measurements, we demonstrate an innovative method resulting in 10–30 % improvement in estimating atmospheric attenuation. More accurate atmospheric attenuation estimates imply better telecommunication services in the future.
Telecommunication is based on the propagation of radio signals through the atmosphere. The...