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Mind the Gap - Part 3: Doppler Velocity Measurements From Space

  • Pavlos Kollias
  • , Alessandro Battaglia
  • , Katia Lamer
  • , Bernat Puigdomenech Treserras
  • , Scott A. Braun
  • Polytechnic University of Turin
  • University of Leicester
  • Brookhaven National Laboratory
  • McGill University
  • NASA Goddard Space Flight Center

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Convective motions and hydrometeor microphysical properties are highly sought-after parameters for evaluating atmospheric numerical models. With most of 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 the 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 were determined in 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).

Original languageEnglish
Article number860284
JournalFrontiers in Remote Sensing
Volume3
DOIs
StatePublished - 2022

Keywords

  • Doppler
  • convection
  • radar
  • remote sensing
  • satellite

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