Articles | Volume 25, issue 1
https://doi.org/10.5194/acp-25-157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis
Institut Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France
now at: Leipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, Germany
Nicolas Bellouin
Institut Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France
Department of Meteorology, University of Reading, Reading, United Kingdom
Olivier Boucher
Institut Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France
Susanne Rohs
Institute of Energy and Climate Research – Troposphere (IEK-8), Forschungszentrum Jülich, Jülich, Germany
Institute of Energy and Climate Research – Troposphere (IEK-8), Forschungszentrum Jülich, Jülich, Germany
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Cited
13 citations as recorded by crossref.
- Reduced contrail radiative effect for fleets with low soot and water vapour emissions M. Rubin-Zuzic et al. 10.1016/j.aeaoa.2025.100353
- Increasing probability of extreme rainfall preconditioned by humid heatwaves in global coastal megacities P. Ganguli & B. Merz 10.1038/s41612-025-01023-x
- Impact of host climate model on contrail cirrus effective radiative forcing estimates W. Zhang et al. 10.5194/acp-25-473-2025
- Global and regional drivers for exceptional climate extremes in 2023-2024: beyond the new normal S. Minobe et al. 10.1038/s41612-025-00996-z
- Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data Z. Wang et al. 10.5194/acp-25-2845-2025
- Integrated Quantile Mapping and Spatial Clustering for Robust Bias Correction of Satellite Precipitation in Data-Sparse Regions G. Al-Rawas et al. 10.3390/su17188321
- Performance analysis of IMDAA and ERA5 reanalysis in reproducing monsoon precipitation extremes over Eastern India J. Akhter et al. 10.1007/s00704-025-05595-9
- Combining LIDAR, all-sky camera, and ECMWF-ERA5 reanalysis to investigate contrail formation and evolution over Clermont-Ferrand, France on June 2, 2023 S. Diarra et al. 10.1016/j.atmosres.2025.108500
- Investigating the limiting aircraft-design-dependent and environmental factors of persistent contrail formation L. Megill & V. Grewe 10.5194/acp-25-4131-2025
- The effect of uncertainty in humidity and model parameters on the prediction of contrail energy forcing J. Platt et al. 10.1088/2515-7620/ad6ee5
- Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 Z. Engberg et al. 10.5194/gmd-18-253-2025
- Distribution and morphology of non-persistent contrail and persistent contrail formation areas in ERA5 K. Wolf et al. 10.5194/acp-24-5009-2024
- How well can persistent contrails be predicted? An update S. Hofer et al. 10.5194/acp-24-7911-2024
9 citations as recorded by crossref.
- Reduced contrail radiative effect for fleets with low soot and water vapour emissions M. Rubin-Zuzic et al. 10.1016/j.aeaoa.2025.100353
- Increasing probability of extreme rainfall preconditioned by humid heatwaves in global coastal megacities P. Ganguli & B. Merz 10.1038/s41612-025-01023-x
- Impact of host climate model on contrail cirrus effective radiative forcing estimates W. Zhang et al. 10.5194/acp-25-473-2025
- Global and regional drivers for exceptional climate extremes in 2023-2024: beyond the new normal S. Minobe et al. 10.1038/s41612-025-00996-z
- Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data Z. Wang et al. 10.5194/acp-25-2845-2025
- Integrated Quantile Mapping and Spatial Clustering for Robust Bias Correction of Satellite Precipitation in Data-Sparse Regions G. Al-Rawas et al. 10.3390/su17188321
- Performance analysis of IMDAA and ERA5 reanalysis in reproducing monsoon precipitation extremes over Eastern India J. Akhter et al. 10.1007/s00704-025-05595-9
- Combining LIDAR, all-sky camera, and ECMWF-ERA5 reanalysis to investigate contrail formation and evolution over Clermont-Ferrand, France on June 2, 2023 S. Diarra et al. 10.1016/j.atmosres.2025.108500
- Investigating the limiting aircraft-design-dependent and environmental factors of persistent contrail formation L. Megill & V. Grewe 10.5194/acp-25-4131-2025
4 citations as recorded by crossref.
- The effect of uncertainty in humidity and model parameters on the prediction of contrail energy forcing J. Platt et al. 10.1088/2515-7620/ad6ee5
- Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 Z. Engberg et al. 10.5194/gmd-18-253-2025
- Distribution and morphology of non-persistent contrail and persistent contrail formation areas in ERA5 K. Wolf et al. 10.5194/acp-24-5009-2024
- How well can persistent contrails be predicted? An update S. Hofer et al. 10.5194/acp-24-7911-2024
Latest update: 09 Oct 2025
Short summary
ERA5 atmospheric reanalysis and airborne in situ observations from IAGOS are compared in terms of the representation of the contrail formation potential and the presence of supersaturation. Differences are traced back to biases in ERA5 relative humidity fields. Those biases are addressed by applying a quantile mapping technique that significantly improved contrail estimation based on post-processed ERA5 data.
ERA5 atmospheric reanalysis and airborne in situ observations from IAGOS are compared in terms...
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