Articles | Volume 15, issue 10
https://doi.org/10.5194/gmd-15-4193-2022
© Author(s) 2022. 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-15-4193-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
01 Jun 2022
Model description paper |
| 01 Jun 2022
| 01 Jun 2022
The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale
Juan Manuel Castillo
CORRESPONDING AUTHOR
Met Office, Exeter, EX1 3PB, UK
Huw W. Lewis
Met Office, Exeter, EX1 3PB, UK
Akhilesh Mishra
National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, India
Ashis Mitra
National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, India
Jeff Polton
National Oceanography Centre, Liverpool, UK
Ashley Brereton
National Oceanography Centre, Liverpool, UK
Andrew Saulter
Met Office, Exeter, EX1 3PB, UK
Alex Arnold
Met Office, Exeter, EX1 3PB, UK
Segolene Berthou
Met Office, Exeter, EX1 3PB, UK
Douglas Clark
UK Centre of Ecology & Hydrology (UKCEH), Wallingford, UK
Julia Crook
School of Earth and Environment, University of Leeds, Leeds, UK
Ananda Das
India Meteorological Department (IMD), Delhi, India
John Edwards
Met Office, Exeter, EX1 3PB, UK
Xiangbo Feng
Department of Meteorology, University of Reading, Reading, UK
Ankur Gupta
National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, India
Sudheer Joseph
Indian National Centre for Ocean Information Services (INCOIS), Hyderabad, India
Nicholas Klingaman
Department of Meteorology, University of Reading, Reading, UK
Imranali Momin
National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, India
Christine Pequignet
Met Office, Exeter, EX1 3PB, UK
Claudio Sanchez
Met Office, Exeter, EX1 3PB, UK
Jennifer Saxby
School of Earth and Environment, University of Leeds, Leeds, UK
Maria Valdivieso da Costa
Department of Meteorology, University of Reading, Reading, UK
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Cited
10 citations as recorded by crossref.
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3 M. Bush et al. 10.5194/gmd-18-3819-2025
- Ocean Satellite Data Fusion for High-Resolution Surface Current Maps A. Kugusheva et al. 10.3390/rs16071182
- The Met Office operational wave forecasting system: the evolution of the regional and global models N. Valiente et al. 10.5194/gmd-16-2515-2023
- The impact of preceding convection on the development of Medicane Ianos and the sensitivity to sea surface temperature C. Sánchez et al. 10.5194/wcd-5-1429-2024
- Evaluation of a Mesoscale Coupled Ocean‐Atmosphere Configuration for Tropical Cyclone Forecasting in the South West Indian Ocean Basin L. Corale et al. 10.1029/2022EA002584
- A global high-resolution CMIP6 ensemble of wave climate simulations and projections using a coastal multigrid: Configuration and performance evaluation R. Kumar et al. 10.1016/j.ocemod.2025.102566
- Future climate projections in the global coastal ocean J. Holt et al. 10.1016/j.pocean.2025.103497
- Reproducible and relocatable regional ocean modelling: fundamentals and practices J. Polton et al. 10.5194/gmd-16-1481-2023
- The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale J. Castillo et al. 10.5194/gmd-15-4193-2022
9 citations as recorded by crossref.
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3 M. Bush et al. 10.5194/gmd-18-3819-2025
- Ocean Satellite Data Fusion for High-Resolution Surface Current Maps A. Kugusheva et al. 10.3390/rs16071182
- The Met Office operational wave forecasting system: the evolution of the regional and global models N. Valiente et al. 10.5194/gmd-16-2515-2023
- The impact of preceding convection on the development of Medicane Ianos and the sensitivity to sea surface temperature C. Sánchez et al. 10.5194/wcd-5-1429-2024
- Evaluation of a Mesoscale Coupled Ocean‐Atmosphere Configuration for Tropical Cyclone Forecasting in the South West Indian Ocean Basin L. Corale et al. 10.1029/2022EA002584
- A global high-resolution CMIP6 ensemble of wave climate simulations and projections using a coastal multigrid: Configuration and performance evaluation R. Kumar et al. 10.1016/j.ocemod.2025.102566
- Future climate projections in the global coastal ocean J. Holt et al. 10.1016/j.pocean.2025.103497
- Reproducible and relocatable regional ocean modelling: fundamentals and practices J. Polton et al. 10.5194/gmd-16-1481-2023
Latest update: 10 Jul 2025
Short summary
A new environmental modelling system has been developed to represent the effect of feedbacks between atmosphere, land, and ocean in the Indian region. Different approaches to simulating tropical cyclones Titli and Fani are demonstrated. It is shown that results are sensitive to the way in which the ocean response to cyclone evolution is captured in the system. Notably, we show how a more rigorous formulation for the near-surface energy budget can be included when air–sea coupling is included.
A new environmental modelling system has been developed to represent the effect of feedbacks...
