Next-generation Ionospheric Model for Operations – validation and demonstration for space weather and research

Abstract

The Next-generation Ionospheric Model for Operations (NIMO) is an assimilative geospace model developed to address the space weather operational needs in the ionosphere. NIMO harnesses contributions from both near real-time data and state-of-the-art implementation of ionospheric theory to provide hindcasts, nowcasts, and forecasts for operational or research purposes. NIMO is currently configured to assimilate various types of electron density measurements through the Ionospheric Data Assimilation Four-Dimensional (IDA-4D) data assimilation schema. Information from the neutral atmosphere is provided by empirical models. The ionospheric chemistry and transport calculations are handled within NIMO using a version of SAMI3 is also a Model of the Ionosphere (SAMI3) designed to have a realistic geomagnetic field and work effectively on a parallel processing system. NIMO was designed to be more adaptive than previous systems that couple first-principle and assimilative models. This article discusses how NIMO is configured, demonstrates potential use cases for the research community, and validates hindcast runs using a new suite of metrics designed to allow repeatable, quantitative, model-independent evaluations against publicly available observations that may be adopted by any ionospheric global circulation or regional space weather model. Future versions of NIMO and other empirical, first-principle, or assimilative models may compare their performance against these results.