Improved retrieval of so plume height from tropomi using an iterative covariance-based retrieval algorithm

HIGHLIGHTS

• who: Atmos. Meas. Tech. et al. from the School of Earth and Environmental Sciences, University of Manchester, Oxford Road, Manchester, M PL, UK have published the paper: Improved retrieval of SO plume height from TROPOMI using an iterative Covariance-Based Retrieval Algorithm, in the Journal: (JOURNAL) of 21/06/2019
• what: The authors develop a new SO2 LH algorithm and apply it to observations from the high-spatial-resolution TROPOspheric Monitoring Instrument (TROPOMI). The authors demonstrate the value of this new data through a number of examples and comparison with satellite plume height estimates (from . . .
  

   

  

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