Atmospheric and Environmental Gas Dynamics

External reference: https://openalex.org/T11588

  1. Uncertainty Quantification of Satellite-Based Essential Climate Variables Derived from Deep Learning
    Survey of uncertainty quantification methods for satellite-based climate variables derived from deep learning, addressing aleatoric and epistemic uncertainties in ECV estimation.
  2. EMAC model matches many observed global hydrogen cycles
    EMAC earth system model accurately simulates global atmospheric hydrogen dynamics, achieving correlation coefficients exceeding 0.9 at remote polar stations against observational data.
  3. Methane increases were linked mainly to wetlands in Africa and Asia
    Atmospheric methane growth peaked in 2020 driven by declining hydroxyl radicals and increased tropical wetland emissions in Africa and Asia, before declining through 2023.
  4. RGGI linked to lower wages for unskilled energy-sector workers
    RGGI carbon emissions trading program caused significant wage declines for unskilled workers in energy-intensive sectors, with 7% reduction four years post-implementation, while skilled workers.
  5. Regional transport increased ozone pollution in the Fen-Wei Plain
    Study reveals cross-regional ozone transport contributes 65% of surface pollution in Fenwei Plain, with Hubei and Henan as dominant sources. Multi-source observations show transport drives.