Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling
<p>Ground-based microwave radiometer (MWR) observations of downwelling brightness temperature (<span class="inline-formula"><i>T</i><sub>B</sub></span>) are commonly used to estimate atmospheric attenuation at relative transparent channels for radi...
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Format: | Article |
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Copernicus Publications
2021-04-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | https://amt.copernicus.org/articles/14/2737/2021/amt-14-2737-2021.pdf |
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author | A. Alyosef D. Cimini D. Cimini L. Luini C. Riva F. S. Marzano F. S. Marzano M. Biscarini M. Biscarini L. Milani A. Martellucci S. Gentile S. Gentile S. T. Nilo F. Di Paola A. Alkhateeb F. Romano |
author_facet | A. Alyosef D. Cimini D. Cimini L. Luini C. Riva F. S. Marzano F. S. Marzano M. Biscarini M. Biscarini L. Milani A. Martellucci S. Gentile S. Gentile S. T. Nilo F. Di Paola A. Alkhateeb F. Romano |
author_sort | A. Alyosef |
collection | DOAJ |
description | <p>Ground-based microwave radiometer (MWR) observations of downwelling brightness temperature
(<span class="inline-formula"><i>T</i><sub>B</sub></span>) are commonly used to estimate atmospheric attenuation at relative
transparent channels for radio propagation and telecommunication purposes. The atmospheric
attenuation is derived from <span class="inline-formula"><i>T</i><sub>B</sub></span> by inverting the radiative transfer equation with a
priori knowledge of the mean radiating temperature (<span class="inline-formula"><i>T</i><sub>MR</sub></span>). <span class="inline-formula"><i>T</i><sub>MR</sub></span> 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 <span class="inline-formula"><i>T</i><sub>MR</sub></span> may also be extracted directly from MWR
measurements at channels other than those used to estimate atmospheric attenuation. This paper
proposes a novel approach to estimate <span class="inline-formula"><i>T</i><sub>MR</sub></span> in clear and cloudy sky from independent MWR
profiler measurements. A linear regression algorithm is trained with a simulated dataset obtained
by processing 1 year of radiosonde observations of atmospheric thermodynamic profiles. The
algorithm is trained to estimate <span class="inline-formula"><i>T</i><sub>MR</sub></span> at K- and V–W-band frequencies (22–31 and
72–82 <span class="inline-formula">GHz</span>, respectively) from independent MWR observations at the V band
(54–58 <span class="inline-formula">GHz</span>). The retrieval coefficients are then applied to a 1-year dataset of real
V-band observations, and the estimated <span class="inline-formula"><i>T</i><sub>MR</sub></span> at the K and V–W band is compared with
estimates from nearly colocated and simultaneous radiosondes. The proposed method provides
<span class="inline-formula"><i>T</i><sub>MR</sub></span> 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 channels and <span class="inline-formula">∼30</span> % for V–W-band
channels.</p> |
first_indexed | 2024-12-14T17:49:23Z |
format | Article |
id | doaj.art-c927fd69ec4541a583349a9452111473 |
institution | Directory Open Access Journal |
issn | 1867-1381 1867-8548 |
language | English |
last_indexed | 2024-12-14T17:49:23Z |
publishDate | 2021-04-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Measurement Techniques |
spelling | doaj.art-c927fd69ec4541a583349a94521114732022-12-21T22:52:40ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482021-04-01142737274810.5194/amt-14-2737-2021Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profilingA. Alyosef0D. Cimini1D. Cimini2L. Luini3C. Riva4F. S. Marzano5F. S. Marzano6M. Biscarini7M. Biscarini8L. Milani9A. Martellucci10S. Gentile11S. Gentile12S. T. Nilo13F. Di Paola14A. Alkhateeb15F. Romano16CETEMPS, University of L'Aquila, L'Aquila, 67100, ItalyCETEMPS, University of L'Aquila, L'Aquila, 67100, ItalyCNR-IMAA, C. da S. Loja, Potenza, 85100, ItalyDEIB–IEIIT–CNR, Politecnico di Milano, Milan, 20100, ItalyDEIB–IEIIT–CNR, Politecnico di Milano, Milan, 20100, ItalyCETEMPS, University of L'Aquila, L'Aquila, 67100, ItalyDIET, Sapienza University di Roma, Rome, 00185, ItalyCETEMPS, University of L'Aquila, L'Aquila, 67100, ItalyDIET, Sapienza University di Roma, Rome, 00185, ItalyESA, ESOC, Darmstadt, 64293, GermanyESA, ESTEC, Noordwijk, 2200-2204, the NetherlandsCETEMPS, University of L'Aquila, L'Aquila, 67100, ItalyCNR-IMAA, C. da S. Loja, Potenza, 85100, ItalyCNR-IMAA, C. da S. Loja, Potenza, 85100, ItalyCNR-IMAA, C. da S. Loja, Potenza, 85100, ItalyTelecommunication Engineering, University of Aleppo, Aleppo, SyriaCNR-IMAA, C. da S. Loja, Potenza, 85100, Italy<p>Ground-based microwave radiometer (MWR) observations of downwelling brightness temperature (<span class="inline-formula"><i>T</i><sub>B</sub></span>) are commonly used to estimate atmospheric attenuation at relative transparent channels for radio propagation and telecommunication purposes. The atmospheric attenuation is derived from <span class="inline-formula"><i>T</i><sub>B</sub></span> by inverting the radiative transfer equation with a priori knowledge of the mean radiating temperature (<span class="inline-formula"><i>T</i><sub>MR</sub></span>). <span class="inline-formula"><i>T</i><sub>MR</sub></span> 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 <span class="inline-formula"><i>T</i><sub>MR</sub></span> may also be extracted directly from MWR measurements at channels other than those used to estimate atmospheric attenuation. This paper proposes a novel approach to estimate <span class="inline-formula"><i>T</i><sub>MR</sub></span> in clear and cloudy sky from independent MWR profiler measurements. A linear regression algorithm is trained with a simulated dataset obtained by processing 1 year of radiosonde observations of atmospheric thermodynamic profiles. The algorithm is trained to estimate <span class="inline-formula"><i>T</i><sub>MR</sub></span> at K- and V–W-band frequencies (22–31 and 72–82 <span class="inline-formula">GHz</span>, respectively) from independent MWR observations at the V band (54–58 <span class="inline-formula">GHz</span>). The retrieval coefficients are then applied to a 1-year dataset of real V-band observations, and the estimated <span class="inline-formula"><i>T</i><sub>MR</sub></span> at the K and V–W band is compared with estimates from nearly colocated and simultaneous radiosondes. The proposed method provides <span class="inline-formula"><i>T</i><sub>MR</sub></span> 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 channels and <span class="inline-formula">∼30</span> % for V–W-band channels.</p>https://amt.copernicus.org/articles/14/2737/2021/amt-14-2737-2021.pdf |
spellingShingle | A. Alyosef D. Cimini D. Cimini L. Luini C. Riva F. S. Marzano F. S. Marzano M. Biscarini M. Biscarini L. Milani A. Martellucci S. Gentile S. Gentile S. T. Nilo F. Di Paola A. Alkhateeb F. Romano Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling Atmospheric Measurement Techniques |
title | Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling |
title_full | Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling |
title_fullStr | Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling |
title_full_unstemmed | Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling |
title_short | Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling |
title_sort | improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling |
url | https://amt.copernicus.org/articles/14/2737/2021/amt-14-2737-2021.pdf |
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