Integrated Retrieval of Atmospheric Temperature and Humidity by Hyperspectral Microwave Radiometers
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 231
Special Issue Editors
Interests: microwave radiometer; numerical weather prediction; passive remote sensing; radiative transfer; extreme weather; ice clouds; edge detection
Special Issue Information
Dear Colleagues,
Hyperspectral microwave radiometers (HyMWR) acquire closely spaced spectral samples near oxygen and water-vapor absorption features. Over recent years, ground-based and airborne experiments, together with satellite-oriented end-to-end simulations and OSSEs, have demonstrated the potential of HyMWR measurements for thermodynamic profiling and have guided retrieval strategies and performance expectations. These efforts have focused international attention on next-generation meteorological satellites carrying HyMWR payloads. Against this backdrop, there is a growing need to consolidate and advance integrated retrieval methods that turn HyMWR observations into reliable temperature and humidity profiles, with transparent treatment of calibration, forward-model errors, hydrometeor scattering, and surface emissivity, alongside traceable uncertainty characterization suitable for downstream weather and climate applications.
This Special Issue is dedicated to the integrated retrieval of atmospheric temperature and humidity from HyMWR measurements, spanning ground, airborne, and satellite implementations. We invite authors to submit contributions that link instrument characteristics and radiative-transfer theory with inversion or learning-based schemes to deliver robust T–q products, quantify information content and uncertainty, and demonstrate value for nowcasting, numerical weather prediction (NWP), reanalysis, and climate diagnostics, fully aligned with the scope of the Atmospheric Remote Sensing section of Remote Sensing.
Submissions covering, but not limited to, the following areas will be considered for publication:
Integrated T–q inversion frameworks (optimal estimation, variational/Bayesian, machine learning);
Spectral selection and synergy; information-content, detectability, and posterior error characterization;
Retrievals that account for hydrometeor scattering; screening and quality control;
Radiative transfer and spectroscopy tailored to HyMWR; fast/adjoint forward models and Jacobians;
Surface emissivity modeling over land, ocean, and sea ice;
Calibration, inter-sensor consistency, and on-orbit/ground validation strategies;
End-to-end simulations and OSSEs linking platform experiments to anticipated satellite performance;
Data-assimilation impact studies centered on HyMWR observations.
Accepted article types will include research articles, reviews, and short communications/technical notes.
Dr. Jieying He
Prof. Dr. Gang Ma
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 250 words) can be sent to the Editorial Office for assessment.
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Keywords
- hyperspectral microwave radiometer
- integrated retrieval
- temperature and humidity profile
- calibration and validation
- end-to-end simulation/OSSE
- data assimilation impact
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