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Radar Science and Engineering
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Radar Science (334H)

The Radar Science Group helps provide the scientific motivations, data-interpretation algorithms, applications, and science-driven design specifications for the radars developed by the Radar Science & Engineering section at JPL. We also analyze data from other active and passive instruments on several NASA and non-NASA satellites. Our principal activities include calibrating the radars, developing the physical and mathematical algorithms for processing the radar and/or passive measurements that are collected and extracting (geo)physical data from them, and carrying out scientific research using these data. Furthermore, we develop radar data processing algorithms for research and flight missions. Our projects include analysis, research, design, development, test and validation (including calibration) of radar processing algorithms and implementations for SAR, interferometers, scatterometry, atmospheric radar, and sounders. We also use data from spaceborne radars and other instruments to characterize, understand, and try to improve the predictability of a very broad range of atmospheric, surface and solid Earth phenomena.

Key products include:

  • Tracking and understanding of sea ice morphology and kinematics
  • Improved mesoscale modeling of tropical cyclones
  • Estimation of forest fuel load and diagnosis of forest fire damage
  • Quantification of the variability of precipitation in polar regions
  • Calculation and tracking of the distribution of live biomass
  • Estimation of the mass balance of ice sheets and changes in glacier speed
  • Measurement of near-surface winds (speed and direction) over the oceans to help understand the ocean-atmosphere interactions and to monitor extreme events like hurricanes, as well as phenomena like ENSO that have an impact on global weather and climate

For more information on our work in the following fields of interest, please visit the links provided:

Group Members:

Ziad S. Haddad - Group Supervisor
Glenn F. Cunningham 

Alexander G. Fore 

Essam Heggy, PhD 

Svetla Hristova-Veleva, PhD 

Sermsak Jaruwatanadilok 

Behnaz Khakbaz 

Ala Khazendar 

Shoichiro Kojima 

Xin Li 

Victoria Meyer 

Mathieu Morlighem 

Nasrin Nasrollahi 

Maxim Neumann 

Lisa (Dieuthuy) Nguyen 

Noppasin Niamsuwan 

Jonathan Normand 

Shadi Oveisgharan, PhD 

Shirley S.N. Pang 

Chelsea Robinson 

Sassan Saatchi, PhD 

Helene Seroussi 

Ousmane Sy 

Simone Tanelli 

My-Linh Truong-Loi 

Joseph Turk, PhD 

Jim Weirick 

Yun Xu 

Bryan Zutta 

 

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