The Empirical Canadian High Arctic Ionospheric Model(E-CHAIM) – Validation and Release


  1. Themens, D.
  2. Jayachandran, P. T.
  3. McCaffrey, A.
  4. Reid, B.
Corporate Authors
Defence Research and Development Canada, Ottawa Ont (CAN) Corporate Office;New Brunswick Univ, Fredericton NB (CAN)
This phase of the E-CHAIM project involved the validation and testing of the model in preparation for final release. For this purpose, we first examined the performance of the model under the most extreme conditions one could expect it to operate (intermediate timescales). It is clear from previous work [e.g. Themens et al., 2017a] that E-CHAIM performs well and better than the International Reference Ionosphere (IRI) on monthly median timescales but little has been done to assess the model’s performance at shorter timescales. Looking at intermediate (1-to- 30-day) timescales we here examine the performance of the E-CHAIM and IRI storm models in accommodating variations at these timescales. Through this work, we demonstrate that, despite the simple nature of the storm parameterization, the E-CHAIM storm model is able to account for 20%-50% of ionospheric variability at intermediate timescales. This, however, is found to be the limit of the operational capacity of empirical models, where only data assimilation can provide further improvement. To account for the lack of an independent validation of the E-CHAIM topside model in our previous work [Themens et al., 2018], we here present such a validation using Defense Meteorological Satellite Program (DMSP) in situ measurements of electron density. Through this validation we note remarkable improvement in the representation of electron density at DMSP satellite orbit altitudes over the IRI. This improvement is found to be greate

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Canadian High Arctic Ionospheric Model;Oblique ionospheric sounder;Ionosphere;International Reference Ionosphere;High-frequency Radar
Report Number
DRDC-RDDC-2018-C185 — Contract Report
Date of publication
01 Oct 2018
Number of Pages
Electronic Document(PDF)

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