Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties

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  • who: Clara Betancourt and collaborators from the Supercomputing Centre, Research Centre, Wilhelm-Johnen-Strau00dfe, Germany of Geodesy and Geoinformation, University of Bonn, Niebuhrstrau00dfe, a, Bonn, Germany have published the Article: Global, high-resolution mapping of tropospheric ozone - explainable machine learning and impact of uncertainties, in the Journal: (JOURNAL) of 23/03/2021
  • what: To assess the impact of data and model uncertainties on the ozone map the authors show that the machine learning model is robust against typical fluctuations in ozone values and geospatial data. The authors provide a rationale for the tools the authors . . .

     

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