Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15559-2022
© Author(s) 2022. 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-22-15559-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Vertical structure of the lower-stratospheric moist bias in the ERA5 reanalysis and its connection to mixing processes
Konstantin Krüger
CORRESPONDING AUTHOR
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Andreas Schäfler
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Martin Wirth
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Martin Weissmann
Institut für Meteorologie und Geophysik, Universität Wien,
Vienna, Austria
George C. Craig
Meteorologisches Institut München,
Ludwig-Maximilians-Universität, Munich, Germany
Viewed
Total article views: 4,966 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jul 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,751 | 1,074 | 141 | 4,966 | 123 | 153 |
- HTML: 3,751
- PDF: 1,074
- XML: 141
- Total: 4,966
- BibTeX: 123
- EndNote: 153
Total article views: 3,939 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Dec 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,046 | 776 | 117 | 3,939 | 109 | 140 |
- HTML: 3,046
- PDF: 776
- XML: 117
- Total: 3,939
- BibTeX: 109
- EndNote: 140
Total article views: 1,027 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jul 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 705 | 298 | 24 | 1,027 | 14 | 13 |
- HTML: 705
- PDF: 298
- XML: 24
- Total: 1,027
- BibTeX: 14
- EndNote: 13
Viewed (geographical distribution)
Total article views: 4,966 (including HTML, PDF, and XML)
Thereof 4,966 with geography defined
and 0 with unknown origin.
Total article views: 3,939 (including HTML, PDF, and XML)
Thereof 3,890 with geography defined
and 49 with unknown origin.
Total article views: 1,027 (including HTML, PDF, and XML)
Thereof 1,027 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
20 citations as recorded by crossref.
- Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data Z. Wang et al. https://doi.org/10.5194/acp-25-2845-2025
- Predicting ice supersaturation for contrail avoidance: ensemble forecasting using ICON with two-moment ice microphysics M. Hanst et al. https://doi.org/10.5194/acp-25-17253-2025
- Influence of temperature and humidity on contrail formation regions in the general circulation model EMAC: a spring case study P. Peter et al. https://doi.org/10.5194/acp-25-5911-2025
- Neural general circulation models for modeling precipitation J. Yuval et al. https://doi.org/10.1126/sciadv.adv6891
- Influence of radiosonde observations on the sharpness and altitude of the midlatitude tropopause in the ECMWF IFS K. Krüger et al. https://doi.org/10.5194/wcd-5-491-2024
- Reanalysis comparisons in tropical upper troposphere and stratosphere T. Zhang et al. https://doi.org/10.1007/s00382-026-08083-6
- Characterizing the tropospheric water vapor spatial variation and trend using 2007–2018 COSMIC radio occultation and ECMWF reanalysis data X. Shao et al. https://doi.org/10.5194/acp-23-14187-2023
- The ice supersaturation biases limiting contrail modelling are structured around extratropical depressions O. Driver et al. https://doi.org/10.5194/acp-25-16411-2025
- Evaluating reanalysis representations of climatological trace gas distributions in the Asian monsoon tropopause layer J. Wright et al. https://doi.org/10.5194/acp-25-9617-2025
- Evaluation of upper-tropospheric lower-stratospheric properties over the Asian monsoon region in a storm-resolving model S. Sullivan et al. https://doi.org/10.5194/acp-26-1685-2026
- Technical note: Hybrid machine learning model for bias correction of UTLS relative humidity against IAGOS observations in ERA5 reanalysis M. Antonopoulos et al. https://doi.org/10.5194/acp-26-4771-2026
- A machine-learning-based marine atmosphere boundary layer (MABL) moisture profile retrieval product from GNSS-RO deep refraction signals J. Gong et al. https://doi.org/10.5194/amt-18-4025-2025
- A combined observational and modelling approach to evaluate aerosol–cirrus interactions at high and mid-latitudes E. De La Torre Castro et al. https://doi.org/10.5194/acp-26-5879-2026
- Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis K. Wolf et al. https://doi.org/10.5194/acp-25-157-2025
- Investigation of Summer Raindrop Size Distributions and Associated Relations in the Semi-arid Region over Inner Mongolian Plateau, China L. Sha et al. https://doi.org/10.1007/s00376-024-4059-0
- Seasonality of the Quasi-biennial Oscillation signal in water vapor in the tropical stratosphere Q. Lu et al. https://doi.org/10.5194/acp-26-5763-2026
- Assessment of Large Forest Fires in the Canary Islands and Their Relationship with Subsidence Thermal Inversion and Atmospheric Conditions J. Correa & P. Dorta https://doi.org/10.3390/geographies5030037
- Assessment of the ECMWF Data Assimilation System Using Radiosonde Profiles During Atmospheric River Events Over Western Europe A. Ramos et al. https://doi.org/10.1002/asl2.70034
- Global and regional drivers for exceptional climate extremes in 2023-2024: beyond the new normal S. Minobe et al. https://doi.org/10.1038/s41612-025-00996-z
- Case study on the influence of synoptic-scale processes on the paired H2O–O3 distribution in the UTLS across a North Atlantic jet stream A. Schäfler et al. https://doi.org/10.5194/acp-23-999-2023
20 citations as recorded by crossref.
- Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data Z. Wang et al. https://doi.org/10.5194/acp-25-2845-2025
- Predicting ice supersaturation for contrail avoidance: ensemble forecasting using ICON with two-moment ice microphysics M. Hanst et al. https://doi.org/10.5194/acp-25-17253-2025
- Influence of temperature and humidity on contrail formation regions in the general circulation model EMAC: a spring case study P. Peter et al. https://doi.org/10.5194/acp-25-5911-2025
- Neural general circulation models for modeling precipitation J. Yuval et al. https://doi.org/10.1126/sciadv.adv6891
- Influence of radiosonde observations on the sharpness and altitude of the midlatitude tropopause in the ECMWF IFS K. Krüger et al. https://doi.org/10.5194/wcd-5-491-2024
- Reanalysis comparisons in tropical upper troposphere and stratosphere T. Zhang et al. https://doi.org/10.1007/s00382-026-08083-6
- Characterizing the tropospheric water vapor spatial variation and trend using 2007–2018 COSMIC radio occultation and ECMWF reanalysis data X. Shao et al. https://doi.org/10.5194/acp-23-14187-2023
- The ice supersaturation biases limiting contrail modelling are structured around extratropical depressions O. Driver et al. https://doi.org/10.5194/acp-25-16411-2025
- Evaluating reanalysis representations of climatological trace gas distributions in the Asian monsoon tropopause layer J. Wright et al. https://doi.org/10.5194/acp-25-9617-2025
- Evaluation of upper-tropospheric lower-stratospheric properties over the Asian monsoon region in a storm-resolving model S. Sullivan et al. https://doi.org/10.5194/acp-26-1685-2026
- Technical note: Hybrid machine learning model for bias correction of UTLS relative humidity against IAGOS observations in ERA5 reanalysis M. Antonopoulos et al. https://doi.org/10.5194/acp-26-4771-2026
- A machine-learning-based marine atmosphere boundary layer (MABL) moisture profile retrieval product from GNSS-RO deep refraction signals J. Gong et al. https://doi.org/10.5194/amt-18-4025-2025
- A combined observational and modelling approach to evaluate aerosol–cirrus interactions at high and mid-latitudes E. De La Torre Castro et al. https://doi.org/10.5194/acp-26-5879-2026
- Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis K. Wolf et al. https://doi.org/10.5194/acp-25-157-2025
- Investigation of Summer Raindrop Size Distributions and Associated Relations in the Semi-arid Region over Inner Mongolian Plateau, China L. Sha et al. https://doi.org/10.1007/s00376-024-4059-0
- Seasonality of the Quasi-biennial Oscillation signal in water vapor in the tropical stratosphere Q. Lu et al. https://doi.org/10.5194/acp-26-5763-2026
- Assessment of Large Forest Fires in the Canary Islands and Their Relationship with Subsidence Thermal Inversion and Atmospheric Conditions J. Correa & P. Dorta https://doi.org/10.3390/geographies5030037
- Assessment of the ECMWF Data Assimilation System Using Radiosonde Profiles During Atmospheric River Events Over Western Europe A. Ramos et al. https://doi.org/10.1002/asl2.70034
- Global and regional drivers for exceptional climate extremes in 2023-2024: beyond the new normal S. Minobe et al. https://doi.org/10.1038/s41612-025-00996-z
- Case study on the influence of synoptic-scale processes on the paired H2O–O3 distribution in the UTLS across a North Atlantic jet stream A. Schäfler et al. https://doi.org/10.5194/acp-23-999-2023
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
A comprehensive data set of airborne lidar water vapour profiles is compared with ERA5 reanalyses for a robust characterization of the vertical structure of the mid-latitude lower-stratospheric moist bias. We confirm a moist bias of up to 55 % at 1.3 km altitude above the tropopause and uncover a decreasing bias beyond. Collocated O3 and H2O observations reveal a particularly strong bias in the mixing layer, indicating insufficiently modelled transport processes fostering the bias.
A comprehensive data set of airborne lidar water vapour profiles is compared with ERA5...
Altmetrics
Final-revised paper
Preprint