Articles | Volume 23, issue 8
https://doi.org/10.5194/acp-23-4819-2023
© Author(s) 2023. 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-23-4819-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Apr 2023
Research article |
| 24 Apr 2023
| 24 Apr 2023
Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System
Gillian Young McCusker
CORRESPONDING AUTHOR
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Jutta Vüllers
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
now at: Institute of Meteorology and Climate Research & Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
Peggy Achtert
Meteorological Observatory, German Weather Service, Hohenpeißenberg, Germany
Paul Field
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Met Office, Exeter, UK
Jonathan J. Day
European Centre for Medium-Range Weather Forecasts, Reading, UK
Richard Forbes
European Centre for Medium-Range Weather Forecasts, Reading, UK
Ruth Price
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Ewan O'Connor
Finnish Meteorological Institute, Helsinki, Finland
Michael Tjernström
Department of Meteorology, Stockholm University, Stockholm, Sweden
John Prytherch
Department of Meteorology, Stockholm University, Stockholm, Sweden
Ryan Neely III
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
National Centre for Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
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Cited
6 citations as recorded by crossref.
- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. 10.1038/s41597-024-03325-w
- Thermodynamic and cloud evolution in a cold-air outbreak during HALO-(AC)3: quasi-Lagrangian observations compared to the ERA5 and CARRA reanalyses B. Kirbus et al. 10.5194/acp-24-3883-2024
- The importance of cloud properties when assessing surface melting in an offline-coupled firn model over Ross Ice shelf, West Antarctica N. Hansen et al. 10.5194/tc-18-2897-2024
- Evaluation of downward and upward solar irradiances simulated by the Integrated Forecasting System of ECMWF using airborne observations above Arctic low-level clouds H. Müller et al. 10.5194/acp-24-4157-2024
- Large-eddy simulation of a two-layer boundary-layer cloud system from the Arctic Ocean 2018 expedition I. Bulatovic et al. 10.5194/acp-23-7033-2023
- Physical and Chemical Properties of Cloud Droplet Residuals and Aerosol Particles During the Arctic Ocean 2018 Expedition L. Karlsson et al. 10.1029/2021JD036383
5 citations as recorded by crossref.
- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. 10.1038/s41597-024-03325-w
- Thermodynamic and cloud evolution in a cold-air outbreak during HALO-(AC)3: quasi-Lagrangian observations compared to the ERA5 and CARRA reanalyses B. Kirbus et al. 10.5194/acp-24-3883-2024
- The importance of cloud properties when assessing surface melting in an offline-coupled firn model over Ross Ice shelf, West Antarctica N. Hansen et al. 10.5194/tc-18-2897-2024
- Evaluation of downward and upward solar irradiances simulated by the Integrated Forecasting System of ECMWF using airborne observations above Arctic low-level clouds H. Müller et al. 10.5194/acp-24-4157-2024
- Large-eddy simulation of a two-layer boundary-layer cloud system from the Arctic Ocean 2018 expedition I. Bulatovic et al. 10.5194/acp-23-7033-2023
Latest update: 29 Jun 2024
Short summary
In this study, we show that recent versions of two atmospheric models – the Unified Model and Integrated Forecasting System – overestimate Arctic cloud fraction within the lower troposphere by comparison with recent remote-sensing measurements made during the Arctic Ocean 2018 expedition. The overabundance of cloud is interlinked with the modelled thermodynamic structure, with strong negative temperature biases coincident with these overestimated cloud layers.
In this study, we show that recent versions of two atmospheric models – the Unified Model and...
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