Spaceborne Clouds and Precipitation Radar
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 185
Editor
Special Issue Information
Dear Colleagues,
Spaceborne radar plays an indispensable role in global cloud and precipitation measurements. It operates with several frequency bands such as Ku- (13 GHz), Ka- (35 GHz), and W- (94 GHz) bands. Spaceborne radar missions, such as NASA’s existing Global Precipitation Measurement (GPM) and planned Atmosphere Observing System–Precipitation Measuring Mission (AOS-PMM), are able to provide three‐dimensional (3D) cloud and precipitation structures that cannot be obtained from ground-based radars. Assimilating the spaceborne radar measurements into Numerical Weather Prediction (NWP) is able to improve the depiction of storm structure, cloud microphysics, and precipitation processes, leading to better forecasts of high-impact weather events.
This Special Issue of Remote Sensing, entitled “Spaceborne Clouds and Precipitation Radar”, welcomes the submission of articles and reviews that discuss the following topics:
(1) The status of existing spaceborne radar systems, highlighting and demonstrating their observing capabilities.
(2) The limitations of current spaceborne radar systems, for example, strong attenuation for heavy rains, low revisit frequency, narrow swath width, coarse spatial resolution, challenges in observing low‐level clouds and mid-to-high latitude precipitations, etc.
(3) Possible solutions to overcome these limitations and encourage the implementation of NWP.
By highlighting the main achievements and limitations in today’s spaceborne radar systems, this Special Issue aims to encourage broader global cooperation in the community to design and implement the next generation of spaceborne radar systems.
Dr. Yan Zhou
Guest Editor
Manuscript Submission Information
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Keywords
- spaceborne radar
- cloud profiling
- precipitation profiling
- active remoting sensing
- Numerical Weather Prediction (NWP)
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