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Edward Malina

Photo of Edward Malina


4800 Oak Grove Drive
Pasadena, CA 91109

Curriculum Vitae:

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Member of:

Carbon Cycle And Ecosystems


Ed is a postdoctoral researcher at JPL. He is involved in the science surrounding the remote sensing of Greenhouse gases (GHGs) such as methane and carbon dioxide. He is currently focusing on maximizing the information available from trace gas retrievals by combining measurements from US and European satellites such as CrIS and Sentinel 5P/TROPOMI.

Ed is also involved in the ESA-NASA Methane Arctic Permafrost Challenge, a joint effort to better understand methane emissions from the Arctic Permafrost.


  • PhD in Atmospheric Physics, University College London (2018)
  • MEng in Aerospace Engineering, University of Sheffield and Virginia Tech (2010)

Professional Experience

  • Internal Research Fellow, Earth and Mission Science Division, ESA/ESTEC, the Netherlands (2018-2020)
  • Systems Engineer, Selex ES, Basildon, UK (2010-2013)

Community Service

  • Reviewer for Atmospheric Measurement Techniques Wavelength representative for the RSPSoc council (2014-2016)

Research Interests

  • Remote sensing of Greenhouse gases (methane, carbon dioxide, ozone), with satellites.
  • Improving trace gas retrieval methods with machine learning and advanced methods.
  • The ESA-NASA Methane Arctic Permafrost Challenge

Selected Awards

  • Finalist at 'Set for Britain' Competition at UK Houses of Parliament

Selected Publications

  1. Malina, E., Veihelmann, B., Feist, D. G., and Morino, I.: On the consistency of methane isotopologue retrievals using TCCON and multiple spectroscopic databases, Atmos. Meas. Tech. Discuss.,, in review, 2020.
  2. Brence, J., Tanevski, J., Adams, J., Malina, E., and Dzeroski, S.: Learning surrogates of a radiative transfer model for the Sentinel 5P satellite, In review, 2020, submitted Discovery Science 2020 Greece.
  3. Malina, E., Hu, H., Landgraf, J., and Veihelmann, B.: A study of synthetic 13CH4 retrievals from TROPOMI and Sentinel-5/UVNS, Atmos. Meas. Tech., 12, 6273-6301,, 2019.
  4. Malina E., Muller J-P and Walton D. A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS. In review, 2019, UCL Open Science. Doi: 10.14324/111.444/000019.v1.
  5. Malina, E., Yoshida, Y., Matsunaga, T., Muller J-P. Information content analysis: The potential for methane isotopologue retrieval from GOSAT-2. Atmos Meas Tech 2018; 11:1159-79. doi:10.5194/amt-11-1159-2018.