Accounting for meteorological biases in simulated plumes using smarter metrics

Vanderbecken, Pierre J.; Dumont Le Brazidec, Joffrey; Farchi, Alban; Bocquet, Marc; Roustan, Yelva; Potier, Élise; Broquet, Grégoire

doi:https://doi.org/10.5194/amt-16-1745-2023

Articles | Volume 16, issue 6

https://doi.org/10.5194/amt-16-1745-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-1745-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 6

Research article

|

31 Mar 2023

Research article |

| 31 Mar 2023

Accounting for meteorological biases in simulated plumes using smarter metrics

Pierre J. Vanderbecken, Joffrey Dumont Le Brazidec, Alban Farchi, Marc Bocquet, Yelva Roustan, Élise Potier, and Grégoire Broquet

Data sets

Passive gas plume database for metrics comparison (Version 0) Pierre J. Vanderbecken https://doi.org/10.5281/zenodo.6958047

Model code and software

Scientific colour maps (7.0.1) Fabio Crameri https://doi.org/10.5281/zenodo.5501399

Short summary

Instruments dedicated to monitoring atmospheric gaseous compounds from space will provide images of urban-scale plumes. We discuss here the use of new metrics to compare observed plumes with model predictions that will be less sensitive to meteorology uncertainties. We have evaluated our metrics on diverse plumes and shown that by eliminating some aspects of the discrepancies, they are indeed less sensitive to meteorological variations.