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Mind-the-Gap - Part 3: Doppler Velocity Measurements From SpaceConvective motions and hydrometeors microphysical properties are highly sought-after parameters for evaluating atmospheric numerical models. With most of the Earth’s surface covered by water, space-borne Doppler radars are ideal for acquiring such measurements at a global scale. While these systems have proven to be useful tools for retrieving cloud microphysical and dynamical properties from the ground, their adequacy, and specific requirements for spaceborne operation still need to be evaluated.

Comprehensive forward simulations enable us to assess the advantages and drawbacks of six different Doppler radar architectures currently planned or under consideration by space agencies for the study of cloud dynamics. Radar performance is examined against state-of-the-art numerical model simulations of well-characterized shallow and deep, continental, and oceanic convective cases.

Mean Doppler velocity (MDV) measurements collected at multiple frequencies (13, 35 and 94 GHz) provide complementary information in deep convective cloud systems. The high penetration capability of the 13-GHz radar enables to obtain a complete, albeit horizontally under-sampled, view of deep convective storms. The smaller instantaneous field of view (IFOV) of the 35-GHz radar captures more precise information about the location and size of convective updrafts above 5-8 km height of most systems which was determined is the portion of storms where the mass flux peak is typically located. Finally, the lower mean Doppler velocity uncertainty of displaced phase center antenna (DPCA) radars makes them an ideal system for studying microphysics in shallow convection and frontal systems, as well as ice and mixed-phase clouds. It is demonstrated that a 94-GHz DCPA system can achieve retrieval errors as low as 0.05-0.15 mm for raindrop volume-weighted mean diameter and 25% for rime fraction (for a -10 dBZ echo).
Document ID
20220008590
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Pavlos Kollias ORCID
(McGill University Montreal, Canada)
Alessandro Battaglia ORCID
(Polytechnic University of Turin Turin, Italy)
Katia Lamer
(Brookhaven National Laboratory Upton, United States)
Bernat Puigdomenech Treserras
(McGill University Montreal, Canada)
Scott A. Braun
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
May 31, 2022
Publication Date
April 8, 2022
Publication Information
Publication: Frontiers in Remote Sensing
Publisher: Frontiers
ISSN: 2673-6187
URL: https://www.frontiersin.org/article/10.3389/frsen.2022.860284
Subject Category
Communications and Radar
Funding Number(s)
WBS: 304029.01.30.04.04.01
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
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