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Radar Science
Severe Storms
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Severe Storms

Just as ground weather radars are extensively used to detect and characterize the properties of evolving storms, so too can one envision using nadir-looking vertically profiling radars orbiting Earth to probe clouds and storms and gather information about the nature and evolution of their condensed water. Some highlights of the contributions by Radar Science group members to the remote sensing of severe storms include:

  • Starting in 1997, we contributed the first algorithm to combine optimally the instantaneous measurements of a spaceborne radar and radiometer (the Tropical Rainfall Measuring Mission radar and microwave imager) to estimate the spatial distribution and first-order microphysical property (mean hydrometeor size) of the condensed water in its field of view.
  • The group's S. Tanelli and O. O. Sy pioneered the development of algorithms to estimate the line-of-sight velocity of hydrometeors within the field of view of Doppler radars such as EarthCare's Cloud Profiling Radar, and to account for imperfections in the retrievals due to various inhomogeneities of the typical collection of hydrometeors in the resolved volumes.
  • Using coincident radar and radiometer measurements, F. J. Turk developed a state-of-the-art retrieval approach to produce estimates of the vertical distribution of precipitation from passive microwave radiometer measurements only, that has demonstrably negligible bias and low uncertainty.
  • The group's S. Hristova-Veleva has applied various statistical techniques to interpret microwave observations to identify predictors of hurricane rapid intensity change.

Concept for a convoy of 3 small satellites with miniaturized radars to probe the dynamics of storms

Fleets of miniature satellites like RainCube could one day study the rapid development and evolution of storms like this supercell thunderstorm over Nebraska.

Credit: Mike Coniglio/NOAA NSSL

Typhoon Trami as seen through TEMPEST-D and RainCube on September 28, 2018.

This image shows how the GPM Core satellite measured of a tropical cyclone (composite between measurements from the DPR radar and GMI radiometer)


Ousmane O. Sy

Joined the Jet Propulsion Laboratory (JPL) in 2009. He graduated from the Eindhoven University of Technology (TU/e, Eindhoven, The Netherlands, PhD in electromagnetics, 2009), the École Nationale de l’Aviation Civile (ENAC, Toulouse, France, Ingénieur (M.Sc.) in aerospace, 2003) and Paul Sabatier University (UPS, DEA (M.Res.) in electromagnetics and optical telecommunications, 2003, Toulouse, France).

Dr. Sy’s research interests are in spaceborne profiling radars, Doppler radars, and stochastic uncertainty quantification.

Svetla Hristova-Veleva

Received a Ph. D. in atmospheric sciences from Texas A&M University in 1999, and has been a research scientist at the Jet Propulsion Laboratory since that time.

Her research includes the global-scale study of near-surface wind and its use in tracking changes in the atmospheric circulation, down to storm-scale analyses of storm morphology and dynamics and the processes that control the upscale growth and organization of convection.

Joe Turk

Dr. Francis J. (Joe) Turk has over 30 years experience in passive and active microwave and millimeter wave measurements for weather, atmospheric and Earth surface characteristics, including passive MW radiometry, precipitation radar and radio occultations.  He has been involved with numerous NASA flight projects including TRMM, GPM, CloudSat, RapidScat, and COWVR/TEMPEST.  He is a member of the NASA Precipitation Measurements Missions science team, and has been active in internal activities including the IPWG, CGMS, and served as an Editor for the AMS Journal of Hydrometeorology.   Prior to JPL he was a member of the technical staff at the Naval Research Laboratory, where he developed and implemented satellite applications for meteorological decision aids and numerical weather prediction models.

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