Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System

McCusker, Gillian Young; Vüllers, Jutta; Achtert, Peggy; Field, Paul; Day, Jonathan J.; Forbes, Richard; Price, Ruth; O'Connor, Ewan; Tjernström, Michael; Prytherch, John; Neely III, Ryan; Brooks, Ian M.

doi:https://doi.org/10.5194/acp-23-4819-2023

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.

https://doi.org/10.5194/acp-23-4819-2023

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

Articles | Volume 23, issue 8

Research article

|

24 Apr 2023

Research article |

| 24 Apr 2023

Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System

Gillian Young McCusker, Jutta Vüllers, Peggy Achtert, Paul Field, Jonathan J. Day, Richard Forbes, Ruth Price, Ewan O'Connor, Michael Tjernström, John Prytherch, Ryan Neely III, and Ian M. Brooks

Supplement

https://doi.org/10.5194/acp-23-4819-2023-supplement

Data sets

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) I. M. Brooks, M. Tjernström, and J. Vüllers http://catalogue.ceda.ac.uk/uuid/7f35130cb8c947bf9013594aec6b3043

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): ECMWF Integrated Forecasting System Cloudnet outputs G. McCusker and J. Vuellers https://doi.org/10.5285/4c0e990d61454c22be9030777c7fbe89

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_RA2M_Cloudnet) G. McCusker and J. Vuellers https://doi.org/10.5285/31a23a7fbb2c40828e8af2fd479b683e

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_RA2T_Cloudnet) G. McCusker and J. Vuellers https://doi.org/10.5285/180f1c51a22f4fc48c947d33f6c0815e

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_CASIM-100_Cloudnet) G. McCusker and J. Vuellers https://doi.org/10.5285/ebc32b4b3e3d4e1788bbdd66b6abb5de

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): SPRS Icebreaker Oden ship navigation data I. Brooks and J. Vüllers https://catalogue.ceda.ac.uk/uuid/9405b2f8056947609da4bcc0bc88c5e8

Cloudnet remote sensing retrievals of cloud properties during the Arctic Ocean 2018 expedition Jutta Vüllers, Peggy Achtert, Ian Brooks, Ryan Neely III, and Barbara Brooks https://doi.org/10.17043/ao2018-cloudnet-3

Radiosonde data from the Arctic Ocean 2018 expedition, Dataset version 2.0 John Prytherch, Michael Tjernström, Jutta Vuellers, Peggy Achtert, Ian Brooks, Grace Porter, and Mike Adams https://doi.org/10.17043/ao2018-radiosonde-2

Present weather sensor visibility and precipitation data from the Arctic Ocean 2018 expedition John Prytherch https://doi.org/10.17043/ao2018-present-weather

Weather data from MISU weather station during the Arctic Ocean 2018 expedition John Prytherch https://doi.org/10.17043/ao2018-misu-weather-2

Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Meteorological data from the measurement station on the ice floe J. Vüllers and I. M. Brooks https://catalogue.ceda.ac.uk/uuid/bac887be794d4c4587f302f764c12ec4

Micrometeorological data from icebreaker Oden's foremast during the Arctic Ocean 2018 expedition John Prytherch and Michael Tjernström https://doi.org/10.17043/ao2018-micromet-oden-3

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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.