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Table 2
Goodness of fit statistics compared between the Swarm-VIP models and TIE-GCM for a series of case studies in 2017. The calculation of these goodness-of-fit statistics is shown in Paper 1.
| Model | Region | Goodness-of-fit statistics |
||||
|---|---|---|---|---|---|---|
| rRMSE | MSA | rME | Precision | Correlation | ||
| Swarm-VIP models | Polar | 0.16 | 110 | 0.02 | 0.55 | 0.65 |
| Auroral | 0.15 | 110 | 0.01 | 0.70 | 0.62 | |
| Mid | 0.16 | 111 | 0.00 | 0.76 | 0.48 | |
| Equatorial | 0.14 | 110 | −0.01 | 0.72 | 0.43 | |
| TIE-GCM | Polar | 0.23 | 112 | −0.10 | 0.57 | 0.36 |
| Auroral | 0.22 | 113 | −0.12 | 0.61 | 0.36 | |
| Mid | 0.18 | 112 | 0.01 | 0.72 | 0.32 | |
| Equatorial | 0.16 | 112 | 0.11 | 1.03 | 0.67 | |
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