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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Cited
13 citations as recorded by crossref.
- First validation of high-resolution satellite-derived methane emissions from an active gas leak in the UK E. Dowd et al. 10.5194/amt-17-1599-2024
- How do operational meteorologists perceive model performance for elevated convection? D. Flack et al. 10.1002/asl.1213
- Assessment of extreme rainfall events for iFLOWS Mumbai in NCUM regional forecasting system M. T et al. 10.1007/s11069-024-06628-8
- Stratification of the vertical spread‐skill relation by radiosonde drift in a convective‐scale ensemble D. Flack 10.1002/asl.1194
- Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al. 10.1029/2023JD038624
- 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
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Impact of Domain Size on Tropical Precipitation Within Explicit Convection Simulations R. Jones et al. 10.1029/2023GL104672
- On the Role of Macrophysics and Microphysics in Km‐Scale Simulations of Mixed‐Phase Clouds During Cold Air Outbreaks K. Van Weverberg et al. 10.1029/2022JD037854
- Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model L. Tomassini et al. 10.1029/2022MS003418
- 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
8 citations as recorded by crossref.
- First validation of high-resolution satellite-derived methane emissions from an active gas leak in the UK E. Dowd et al. 10.5194/amt-17-1599-2024
- How do operational meteorologists perceive model performance for elevated convection? D. Flack et al. 10.1002/asl.1213
- Assessment of extreme rainfall events for iFLOWS Mumbai in NCUM regional forecasting system M. T et al. 10.1007/s11069-024-06628-8
- Stratification of the vertical spread‐skill relation by radiosonde drift in a convective‐scale ensemble D. Flack 10.1002/asl.1194
- Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al. 10.1029/2023JD038624
- 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
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Impact of Domain Size on Tropical Precipitation Within Explicit Convection Simulations R. Jones et al. 10.1029/2023GL104672
5 citations as recorded by crossref.
- On the Role of Macrophysics and Microphysics in Km‐Scale Simulations of Mixed‐Phase Clouds During Cold Air Outbreaks K. Van Weverberg et al. 10.1029/2022JD037854
- Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model L. Tomassini et al. 10.1029/2022MS003418
- 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: 04 May 2024
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...
