Interpolating station quantile biases for tropospheric ozone  MDA8 bias correction

Peiker, Jan; Karlický, Jan; Huszár, Peter

doi:10.5194/gmd-19-5401-2026

Articles | Volume 19, issue 12

https://doi.org/10.5194/gmd-19-5401-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-5401-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 12

Development and technical paper

|

23 Jun 2026

Development and technical paper |

| 23 Jun 2026

Interpolating station quantile biases for tropospheric ozone MDA8 bias correction

Jan Peiker, Jan Karlický, and Peter Huszár

Data sets

Bias corrected ozone MDA8 in central Europe using various bias correction strategies Jan Peiker https://doi.org/10.5281/zenodo.19630198

WRF-Chem and CAMx ozone surface data from central-European simulations of period 2007-2016 Jan Karlický https://doi.org/10.48700/datst.ev7ej-gv255

Model code and software

Bias corrected ozone MDA8 in central Europe using various bias correction strategies Jan Peiker https://doi.org/10.5281/zenodo.19630198

Short summary

We introduce a novel strategy for bias correction of tropospheric ozone maxima based on parametric interpolation of quantile biases (PIQB) from stations into the model grid. Its performance is evaluated and compared to other strategies found in literature. The results show that PIQB performs very well on simulations with a relatively high horizontal resolution, preserving model-resolved features yet mitigating model errors. We conclude that PIQB is suitable for correcting future projections.