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  • 8 - Data Assimilation and Inverse Modelling of Atmospheric Trace Constituents

  • from Part II - ‘Fluid’ Earth Applications: From the Surface to the Space
  • Edited by Alik Ismail-Zadeh, Karlsruhe Institute of Technology, Germany, Fabio Castelli, Università degli Studi, Florence, Dylan Jones, University of Toronto, Sabrina Sanchez, Max Planck Institute for Solar System Research, Germany
  • Book:
    Applications of Data Assimilation and Inverse Problems in the Earth Sciences
    Published online:
    20 June 2023
    Print publication:
    06 July 2023, pp 131-143

  • Summary

    Abstract: During the past two decades, there have been significant efforts to better quantify emissions of environmentally important trace gases along with their trends. In particular, there has been a clear need for robust estimates of emissions on policy-relevant scales of trace gases that impact air quality and climate. This need has driven the expansion of the observing network to better monitor the changing composition of the atmosphere. This chapter will discuss the use of various data assimilation and inverse modelling approaches to quantify these emissions, with a focus on the use of satellite observations. It will discuss the inverse problem of retrieving the atmospheric trace gas information from the satellite measurements, and the subsequent use of these satellite data for quantifying sources and sinks of the trace gases.