Variational data assimilation for tropospheric chemistry modeling

摘要: The method of variational adjoint data assimilation has been applied to assimilate chemistry observations into a comprehensive tropospheric gas phase model. rationale this is find the correct initial values for subsequent atmospheric model run when scattered in time are available. technique esteemed be promising tool future advanced meteorological forecasting. stimulating experience gained with application four-dimensional research area motivated attempt apply air quality modeling and analysis chemical state atmosphere. present study describes development second-generation regional acid deposition mechanism, which used European pollution dispersion system. Performance results scheme using both model-generated real presented conditions. In former case it demonstrated that series only few or even one measured key species convey sufficient information improve considerably unobserved directly coupled observed species. latter Lagrangian approach adopted where trajectory calculations between two comprehensively furnished measurement sites carried out. allows us analyze sparse Besides remarkable improvements performance by properly analyzed concentrations, shown algorithm offers feasibility estimate sensitivity ozone concentrations relative its precursors.