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Remote Sensing
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Advancements in Microwave Radiometry for Atmospheric Remote Sensing
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Advancements in Microwave Radiometry for Atmospheric Remote Sensing

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 26 May 2024 | Viewed by 781

Special Issue Editors

Dr. Ada Vittoria Bosisio

E-Mail Website
Guest Editor
Italian National Research Council (IEIIT Institute), Milano, Italy
Interests: radio propagation; microwave radiometry; satellite communications
Dr. Jungho Kim

E-Mail Website
Guest Editor
First Street Foundation, Brooklyn, NY 11201, USA
Interests: hydrology; hydrometeorology; climate change; remote sensing; flood modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Atmospheric remote sensing plays a critical role in weather forecasting, climate modeling, and air quality monitoring. Microwave radiometry is a remote sensing technique that utilizes the unique interactions of microwave radiation with atmospheric constituents to retrieve crucial information about atmospheric conditions. Recent advancements in microwave radiometry have substantially enhanced the accuracy and precision of atmospheric remote sensing data, leading to improvements in our understanding of the Earth's atmosphere.

The aim of this Special Issue is to explore the latest advancements in microwave radiometry for atmospheric remote sensing. We invite submissions that showcase innovative methodologies, techniques, and applications related to microwave radiometry analysis in the context of atmospheric remote sensing. We welcome research articles, reviews, and case studies that address the following topics:

  • Microwave radiometry data acquisition and preprocessing techniques for atmospheric remote sensing.
  • Development and validation of algorithms and models for the microwave radiometry-based retrieval of atmospheric parameters.
  • Integration of microwave radiometry data with other sensing and in situ observations for comprehensive atmospheric assessments.
  • Applications of microwave radiometry in weather forecasting, climate modeling, and air quality monitoring.
  • Evaluation of the effectiveness of microwave radiometry in supporting decision-making in atmospheric sciences.

Dr. Ada Vittoria Bosisio
Dr. Jungho Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • microwave radiometry
  • atmospheric remote sensing
  • weather forecasting
  • climate modeling
  • air quality monitoring

Published Papers (1 paper)

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Research

23 pages, 11604 KiB  
Article
A Fast Forward Modelling Method for Simulating Satellite Observations Using Observing Path Tracking
by Xiaofang Guo, Zongru Yang, Gang Ma, Yi Yu, Peng Zhang and Banglin Zhang
Remote Sens. 2024, 16(6), 1030; https://doi.org/10.3390/rs16061030 - 14 Mar 2024
Viewed by 585
Abstract
The higher the atmosphere is, the larger the deviations in atmospheric temperature and humidity are between the vertical column atmosphere above the cross-section of a satellite instrument and a ray’s trajectory from the cross-section to the satellite. In general, satellite instruments that observe [...] Read more.
The higher the atmosphere is, the larger the deviations in atmospheric temperature and humidity are between the vertical column atmosphere above the cross-section of a satellite instrument and a ray’s trajectory from the cross-section to the satellite. In general, satellite instruments that observe using cross-orbit scanning result in the difference between the observed radiance and the simulations using this method becoming incrementally larger and larger as the cross-section moves to the edge of the satellite’s orbit. The deviations depend on the distance from the column to the ray trajectory and on the horizontal gradient of variables in the distance. In fact, the horizontal gradient of water vapour is larger than the gradient of temperature in clear scenarios, which could introduce an impact of temperature and water vapour on the simulated radiance of a satellite. In this study, a new method to simulate upgoing and downgoing radiation synchronously was developed, using the observing path tracking method. The conventional vertical initial atmospheric profile (Exp.1) and the profiles along the upgoing and downgoing rays of the satellite’s observation (Exp.2) were established, in order to simulate the observed radiance of MWHS-II of FY-3D using global numerical forecasts with resolutions of 15 km and 25 km. The results showed that, for channels in the oxygen and water vapour absorption line on the microwave spectrum, deviations of the two atmospheric profiles were larger at the scan edge (0.01 K) than those at the nadir (0.001 K), and were larger in the upper atmosphere than in the lower atmosphere. The deviation was usually negative in low-latitude regions and was positive in southern high-latitude regions. Such results were obtained in experiments using both the numerical forecast method with 15 km grids and the forecast method with 25 km grids. Deviations were analysed for representative channels at 118 GHz and 183 GHz. Then, the results indicated that bigger deviations between the two experiments were observed in the water vapour absorption line than in the oxygen absorption line in the microwave spectrum. In conclusion, this indicates that, because of the greater horizontal gradient of water vapour, the stronger localisation of water vapour makes the atmospheric profile along the satellite’s observing ray have more increments in the simulated radiance at the scan edge, compared to the atmospheric column profile. Full article
(This article belongs to the Special Issue Advancements in Microwave Radiometry for Atmospheric Remote Sensing)
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