ESIAS-Chem is a tool for generating and controlling ultra-large ensembles of chemistry transport models for stochastic integration, exploiting a two-level parallelism, combined with a particle filter data assimilation scheme.
ESIAS-Meteo is a tool for generating and controlling ultra-large ensembles of numerical weather forecast models for stochastic integration, exploiting a two-level parallelism, combined with a particle filter data assimilation scheme.
CoE: EoCoE
This website is created and maintained by the project FocusCoE. FocusCoE has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 823964. 