Designing optimal greenhouse gas observing networks that consider performance and cost

HIGHLIGHTS

  • who: Geosci. Instrum. Method. Data and collaborators from the Livermore National Laboratory, Livermore, CA, USA have published the article: Designing optimal greenhouse gas observing networks that consider performance and cost, in the Journal: (JOURNAL)
  • what: Extending the work of Yver et_al , the authors design optimal networks to monitor HFC-134a emissions in California by combining the following three elements: forward atmospheric transport simulations of HFC-134a (see Sect 2), topdown estimates of HFC-134a emissions using a Bayesian inversion scheme (see Sect 3), and multiobjective optimization of network performance and cost using genetic algorithms (see . . .

     

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