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# Table 5 Statistical scores of the meta-model approximation results compared to observation data

From: Meta-modeling of a simulation chain for urban air quality

Scores over 1-month simulations | Sirane solution \(c({\mathbf {p}})\) | Meta-model solution \({\hat{c}}({\mathbf {p}})\) | ||||||
---|---|---|---|---|---|---|---|---|

NRMSE | \(\sqrt{\text {NMSE}}\) | Bias | Correlation | NRMSE | \(\sqrt{\text {NMSE}}\) | Bias | Correlation | |

All 4 stations | 0.479 | 0.499 | 12.88 | 0.746 | 0.461 | 0.466 | 10.28 | 0.728 |

Lecoq | 0.368 | 0.351 | 6.81 | 0.847 | 0.364 | 0.347 | 6.5 | 0.846 |

Montferrand | 0.366 | 0.33 | 2.04 | 0.833 | 0.377 | 0.325 | \(-1.6 \) | 0.836 |

Gare | 0.655 | 0.587 | 33.13 | 0.776 | 0.469 | 0.52 | 20.43 | 0.783 |

Chamalières | 0.474 | 0.573 | 16.05 | 0.719 | 0.498 | 0.55 | 15.8 | 0.648 |