Articles | Volume 16, issue 6
https://doi.org/10.5194/gmd-16-1713-2023
© 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/gmd-16-1713-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
27 Mar 2023
Model description paper |
| 27 Mar 2023
| 27 Mar 2023
The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2
Mike Bush
CORRESPONDING AUTHOR
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Ian Boutle
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
John Edwards
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Anke Finnenkoetter
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Charmaine Franklin
Bureau of Meteorology (BoM), Melbourne, Victoria, Australia
Kirsty Hanley
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Aravindakshan Jayakumar
National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, India
Huw Lewis
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Adrian Lock
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Marion Mittermaier
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Saji Mohandas
National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, India
Rachel North
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Aurore Porson
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Belinda Roux
Bureau of Meteorology (BoM), Melbourne, Victoria, Australia
Stuart Webster
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Mark Weeks
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
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- Land‐surface interactions with the atmosphere over the Iberian Semi‐arid Environment (LIAISE): First mesoscale modelling intercomparison M. Jiménez et al. 10.1002/qj.4949
- Improvements in the spread–skill relationship of precipitation in a convective‐scale ensemble through blending A. Gainford et al. 10.1002/qj.4754
- Impact of Domain Size on Tropical Precipitation Within Explicit Convection Simulations R. Jones et al. 10.1029/2023GL104672
- FAIR Digital Objects in Autosubmit Workflows B. De Paula Kinoshita et al. 10.52825/ocp.v5i.1416
- Extreme precipitation associated with atmospheric rivers over West Antarctic ice shelves: insights from kilometre-scale regional climate modelling E. Gilbert et al. 10.5194/tc-19-597-2025
- Modelling the influence of soil moisture on the Turkana jet J. Talib et al. 10.1002/qj.4972
- Sensitivity of simulated rain intensity and kinetic energy to aerosols and warm‐rain microphysics during the extreme event of July 2021 in Belgium K. Van Weverberg et al. 10.1002/qj.4761
- Assessment of extreme rainfall events for iFLOWS Mumbai in NCUM regional forecasting system M. T et al. 10.1007/s11069-024-06628-8
- On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results G. Abramowitz et al. 10.5194/bg-21-5517-2024
- Stratification of the vertical spread‐skill relation by radiosonde drift in a convective‐scale ensemble D. Flack 10.1002/asl.1194
- Exceptional atmospheric conditions in June 2023 generated a northwest European marine heatwave which contributed to breaking land temperature records S. Berthou et al. 10.1038/s43247-024-01413-8
- Forecasts of fog events in northern India dramatically improve when weather prediction models include irrigation effects D. Smith et al. 10.1038/s43247-024-01314-w
- Twenty-first century marine climate projections for the NW European shelf seas based on a perturbed parameter ensemble J. Tinker et al. 10.5194/os-20-835-2024
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
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- Assessing the impact of a NWP warm‐start system on model spin‐up over tropical Africa J. Warner et al. 10.1002/qj.4429
- Kilometer‐Scale Simulations of Trade‐Wind Cumulus Capture Processes of Mesoscale Organization L. Saffin et al. 10.1029/2022MS003295
- The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2 M. Bush et al. 10.5194/gmd-16-1713-2023
Latest update: 08 May 2025
Short summary
Building on the baseline of RAL1, the RAL2 science configuration is used for regional modelling around the UM partnership and in operations at the Met Office. RAL2 has been tested in different parts of the world including Australia, India and the UK. RAL2 increases medium and low cloud amounts in the mid-latitudes compared to RAL1, leading to improved cloud forecasts and a reduced diurnal cycle of screen temperature. There is also a reduction in the frequency of heavier precipitation rates.
Building on the baseline of RAL1, the RAL2 science configuration is used for regional modelling...
