Monsoon intra-seasonal variability in a high-resolution version of Met Office Global Coupled model by Yongjie Fang, Peili Wu, M.S. Mizielinski, M.J. Roberts, Bo Li, Xiaoge Xin, Xiangwen Liu

“…This paper evaluates the seasonal means and ISOs of the EAWNP summer monsoon simulated by the latest version of the Met Office Global Coupled Model (HadGEM3-GC2) with two different atmospheric model resolutions at ~130 and ~25 km coupled to a same 0.25° × 0.25° resolution ocean model. …”
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Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system by H. T. Hewitt, D. Copsey, I. D. Culverwell, C. M. Harris, R. S. R. Hill, A. B. Keen, A. J. McLaren, E. C. Hunke

“…HadGEM3-AO is the basis for a number of modelling efforts outside of the Met Office, both within the UK and internationally. …”
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Assimilation of OLCI total column water vapour in the Met Office global numerical weather prediction system by Roger Saunders

“…Following the monitoring, some experiments were made to assimilate the OLCI total column water vapour over land using the Met Office 4D‐Var assimilation system. A 5‐month trial assimilating the OLCI data has shown consistently positive impacts on the forecast scores with some changes to the water vapour distribution in the model.…”
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Signal to Noise Ratio Estimations for a Volcanic ASH Detection Lidar. Case Study: The Met Office by Georgoussis George, Adam Mariana, Avdikos George

“…In this paper we calculate the Signal-to-Noise (SNR) ratio of a 3-channel commercial (Raymetics) volcanic ash detection system, (LR111-D300), already operating under Met Office organization. The methodology for the accurate estimation is presented for day and nighttime conditions. …”
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Efficient performance of the Met Office Unified Model v8.2 on Intel Xeon partially used nodes by I. Bermous, P. Steinle

“…The atmospheric Unified Model (UM) developed at the UK Met Office is used for weather and climate prediction by forecast teams at a number of international meteorological centres and research institutes on a wide variety of hardware and software environments. …”
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Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website by Tess O'Hara, Fergus McClean, Roberto Villalobos Herrera, Elizabeth Lewis, Hayley J. Fowler

“…We use data from the Met Office Weather Observation Website (WOW) over 10 years (2011–2020) to generate two open-source datasets for Britain; multi-parameter raw data in an easy-to-use format; and an hourly rainfall dataset. …”
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Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness by E. W. Blockley, K. A. Peterson

“…Here, for the first time, we directly assess the impact of winter sea-ice thickness initialization on the skill of summer seasonal predictions by assimilating CryoSat-2 thickness data into the Met Office's coupled seasonal prediction system (GloSea). …”
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Exploring the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office's Unified Model by A. C. Jones, A. Hill, S. Remy, N. L. Abraham, N. L. Abraham, M. Dalvi, C. Hardacre, A. J. Hewitt, B. Johnson, J. P. Mulcahy, S. T. Turnock, S. T. Turnock

“…Many climate models that represent ammonium nitrate assume that the ammonium–sulfate–nitrate chemistry reaches thermodynamic equilibrium instantaneously without considering kinetic limitations on condensation rates. The Met Office's Unified Model (UM) is employed to investigate the sensitivity of ammonium nitrate concentrations to the nitric acid uptake coefficient (<span class="inline-formula"><i>γ</i></span>) in a newly developed nitrate scheme in which first-order condensation theory is utilised to limit the rate at which thermodynamic equilibrium is attained. …”
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The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations by D. N. Walters, K. D. Williams, I. A. Boutle, A. C. Bushell, J. M. Edwards, P. R. Field, A. P. Lock, C. J. Morcrette, R. A. Stratton, J. M. Wilkinson, M. R. Willett, N. Bellouin, A. Bodas-Salcedo, M. E. Brooks, D. Copsey, P. D. Earnshaw, S. C. Hardiman, C. M. Harris, R. C. Levine, C. MacLachlan, J. C. Manners, G. M. Martin, S. F. Milton, M. D. Palmer, M. J. Roberts, J. M. Rodríguez, W. J. Tennant, P. L. Vidale

“…GA4.0 and GL4.0 are based on the previous GA3.0 and GL3.0 configurations, with the inclusion of developments made by the Met Office and its collaborators during its annual development cycle. …”
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The Climatology of the Middle Atmosphere in a Vertically Extended Version of the Met Office's Climate Model Part II: Variability by Osprey, S, Gray, L, Hardiman, S, Butchart, N, Bushell, A, Hinton, T

“…Stratospheric variability is examined in a vertically extended version of the Met Office global climate model. Equatorial variability includes the simulation of an internally generated quasi-biennial oscillation (QBO) and semiannual oscillation (SAO). …”

The Met Office HadGEM3-ES chemistry–climate model: evaluation of stratospheric dynamics and its impact on ozone by S. C. Hardiman, N. Butchart, F. M. O'Connor, S. T. Rumbold

“…Free-running and nudged versions of a Met Office chemistry–climate model are evaluated and used to investigate the impact of dynamics versus transport and chemistry within the model on the simulated evolution of stratospheric ozone. …”
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The impact of a new high-resolution ocean model on the Met Office North-West European Shelf forecasting system by M. Tonani, P. Sykes, R. R. King, N. McConnell, A.-C. Péquignet, E. O'Dea, J. A. Graham, J. Polton, J. Siddorn

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GO5.0: the joint NERC–Met Office NEMO global ocean model for use in coupled and forced applications by A. Megann, D. Storkey, Y. Aksenov, S. Alderson, D. Calvert, T. Graham, P. Hyder, J. Siddorn, B. Sinha

“…We describe a new Global Ocean standard configuration (GO5.0) at eddy-permitting resolution, developed jointly between the National Oceanography Centre and the Met Office as part of the Joint Ocean Modelling Programme (JOMP), a working group of the UK's National Centre for Ocean Forecasting (NCOF) and part of the Joint Weather and Climate Research Programme (JWCRP). …”
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The Met Office winter testbed 2020/2021: Experimenting with an on‐demand 300‐m ensemble in a real‐time environment by C. L. Bain, M. Bush, J. C. Buxmann, P. Davies, A. Finnenkoetter, D. L. A. Flack, K. Hanley, R. W. Jones, H. W. Lean, H. Lewis, A. McCabe, J. C. Petch, A. Porson, C. Sanchez, E. K. Stone, D. Walters, S. Webster, S. Willington

“…Abstract The Met Office held a testbed over winter 2020/2021 where a new numerical weather prediction (NWP) sub‐km ensemble was set up on‐demand in response to interesting weather phenomena in the United Kingdom. …”
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The Climatology of the Middle Atmosphere in a Vertically Extended Version of the Met Office's Climate Model. Part I: Mean State by Hardiman, S, Butchart, N, Osprey, S, Gray, L, Bushell, A, Hinton, T

“…The climatology of a stratosphere-resolving version of the Met Office's climate model is studied and validated against ECMWF reanalysis data. …”

The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations by D. Walters, A. J. Baran, A. J. Baran, I. Boutle, M. Brooks, P. Earnshaw, J. Edwards, K. Furtado, P. Hill, A. Lock, J. Manners, C. Morcrette, J. Mulcahy, C. Sanchez, C. Smith, R. Stratton, W. Tennant, L. Tomassini, K. Van Weverberg, S. Vosper, M. Willett, J. Browse, A. Bushell, K. Carslaw, M. Dalvi, R. Essery, N. Gedney, S. Hardiman, B. Johnson, C. Johnson, A. Jones, C. Jones, G. Mann, G. Mann, S. Milton, H. Rumbold, A. Sellar, M. Ujiie, M. Whitall, K. Williams, M. Zerroukat

“…<p>We describe Global Atmosphere 7.0 and Global Land 7.0 (GA7.0/GL7.0), the latest science configurations of the Met Office Unified Model (UM) and the Joint UK Land Environment Simulator (JULES) land surface model developed for use across weather and climate timescales. …”
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Clouds over the summertime Sahara: an evaluation of Met Office retrievals from Meteosat Second Generation using airborne remote sensing by J. C. Kealy, F. Marenco, J. H. Marsham, L. Garcia-Carreras, P. N. Francis, M. C. Cooke, J. Hocking

“…Novel methods of cloud detection are applied to airborne remote sensing observations from the unique Fennec aircraft dataset, to evaluate the Met Office-derived products on cloud properties over the Sahara based on the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on-board the Meteosat Second Generation (MSG) satellite. …”
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Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation by N. H. Savage, P. Agnew, L. S. Davis, C. Ordóñez, R. Thorpe, C. E. Johnson, F. M. O'Connor, M. Dalvi

“…The on-line air quality model AQUM (Air Quality in the Unified Model) is a limited-area forecast configuration of the Met Office Unified Model which uses the UKCA (UK Chemistry and Aerosols) sub-model. …”
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Stratospheric Variability in Twentieth-Century CMIP5 Simulations of the Met Office Climate Model: High Top versus Low Top by Osprey, S, Gray, L, Hardiman, S, Butchart, N, Hinton, T

A climatology of tropical wind shear produced by clustering wind profiles from the Met Office Unified Model (GA7.0) by M. R. Muetzelfeldt, M. R. Muetzelfeldt, R. S. Plant, P. A. Clark, A. J. Stirling, S. J. Woolnough, S. J. Woolnough

“…<p>Toward the goal of linking wind shear with the mesoscale organization of deep convection, a procedure for producing a climatology of tropical wind shear from the output of the Met Office Unified Model climate model is presented. …”
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