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

By synthesising remote-sensing measurements made in the central Arctic into a model-gridded Cloudnet cloud product, we evaluate how well the Met Office Unified Model (UM) and the European Centre for Medium-Range Weather Forecasting (ECMWF) Integrated Forecasting System (IFS) capture Arctic clouds an...

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Published in:Atmospheric chemistry and physics 2023-04, Vol.23 (8), p.4819-4847
Main Authors: 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
Format: Article
Language:English
Subjects:
Aerosols
Algorithms
Arctic clouds
Arctic observations
Bias
Boundary conditions
Cloud condensation nuclei
Cloud condensation nuclei concentrations
Cloud cover
Cloud microphysics
Cloud physics
Cloudiness
Clouds
Condensates
Condensation nuclei
Configurations
Driving conditions
Dynamics
Energy balance
Expeditions
Force and energy
Freezing
General circulation models
Humidity
Ice melting
Liquid water content
Low altitude
Lower troposphere
Mathematical models
Meteorological conditions
Modelling
Moisture content
Moisture effects
Performance evaluation
Physics
Polar environments
Precipitation
Radiation
Radiative cooling
Radiometers
Remote sensing
Sea ice
Simulation
Simulation methods
Surface energy
Surface energy balance
Surface properties
Surface temperature
Telecommunications systems
Thermodynamics
Troposphere
Vertical profiles
Water
Water content
Weather forecasting
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cited_by cdi_FETCH-LOGICAL-c517t-4fde60e61959a658760d23706f947ecac29bb1fc357a24cdb711c161e9dc010b3
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container_title Atmospheric chemistry and physics
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creator McCusker, Gillian Young
Vüllers, Jutta
Achtert, Peggy
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Prytherch, John
Neely III, Ryan
Brooks, Ian M
description By synthesising remote-sensing measurements made in the central Arctic into a model-gridded Cloudnet cloud product, we evaluate how well the Met Office Unified Model (UM) and the European Centre for Medium-Range Weather Forecasting (ECMWF) Integrated Forecasting System (IFS) capture Arctic clouds and their associated interactions with the surface energy balance and the thermodynamic structure of the lower troposphere. This evaluation was conducted using a 4-week observation period from the Arctic Ocean 2018 expedition, where the transition from sea ice melting to freezing conditions was measured. Three different cloud schemes were tested within a nested limited-area model (LAM) configuration of the UM - two regionally operational single-moment schemes (UM_RA2M and UM_RA2T) and one novel double-moment scheme (UM_CASIM-100) - while one global simulation was conducted with the IFS, utilising its default cloud scheme (ECMWF_IFS).
doi_str_mv 10.5194/acp-23-4819-2023
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subjects Aerosols
Algorithms
Arctic clouds
Arctic observations
Bias
Boundary conditions
Cloud condensation nuclei
Cloud condensation nuclei concentrations
Cloud cover
Cloud microphysics
Cloud physics
Cloudiness
Clouds
Condensates
Condensation nuclei
Configurations
Driving conditions
Dynamics
Energy balance
Expeditions
Force and energy
Freezing
General circulation models
Humidity
Ice melting
Liquid water content
Low altitude
Lower troposphere
Mathematical models
Meteorological conditions
Modelling
Moisture content
Moisture effects
Performance evaluation
Physics
Polar environments
Precipitation
Radiation
Radiative cooling
Radiometers
Remote sensing
Sea ice
Simulation
Simulation methods
Surface energy
Surface energy balance
Surface properties
Surface temperature
Telecommunications systems
Thermodynamics
Troposphere
Vertical profiles
Water
Water content
Weather forecasting
title Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System
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