Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 10, issue 4
Geosci. Model Dev., 10, 1487-1520, 2017
https://doi.org/10.5194/gmd-10-1487-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: GA/GL: Decription of the Met Office Unified Model Global Atmosphere...

Geosci. Model Dev., 10, 1487-1520, 2017
https://doi.org/10.5194/gmd-10-1487-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 11 Apr 2017

Model description paper | 11 Apr 2017

The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations

David Walters et al.
Related authors  
The first Met Office Unified Model/JULES Regional Atmosphere and Land configuration, RAL1
Mike Bush, Tom Allen, Caroline Bain, Ian Boutle, John Edwards, Anke Finnenkoetter, Charmaine Franklin, Kirsty Hanley, Humphrey Lean, Adrian Lock, James Manners, Marion Mittermaier, Cyril Morcrette, Rachel North, Jon Petch, Chris Short, Simon Vosper, David Walters, Stuart Webster, Mark Weeks, Jonathan Wilkinson, Nigel Wood, and Mohamed Zerroukat
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-130,https://doi.org/10.5194/gmd-2019-130, 2019
Manuscript under review for GMD
Short summary
The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations
David Walters, Anthony J. Baran, Ian Boutle, Malcolm Brooks, Paul Earnshaw, John Edwards, Kalli Furtado, Peter Hill, Adrian Lock, James Manners, Cyril Morcrette, Jane Mulcahy, Claudio Sanchez, Chris Smith, Rachel Stratton, Warren Tennant, Lorenzo Tomassini, Kwinten Van Weverberg, Simon Vosper, Martin Willett, Jo Browse, Andrew Bushell, Kenneth Carslaw, Mohit Dalvi, Richard Essery, Nicola Gedney, Steven Hardiman, Ben Johnson, Colin Johnson, Andy Jones, Colin Jones, Graham Mann, Sean Milton, Heather Rumbold, Alistair Sellar, Masashi Ujiie, Michael Whitall, Keith Williams, and Mohamed Zerroukat
Geosci. Model Dev., 12, 1909-1963, https://doi.org/10.5194/gmd-12-1909-2019,https://doi.org/10.5194/gmd-12-1909-2019, 2019
Short summary
Development of the Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled model
J. G. L. Rae, H. T. Hewitt, A. B. Keen, J. K. Ridley, A. E. West, C. M. Harris, E. C. Hunke, and D. N. Walters
Geosci. Model Dev., 8, 2221-2230, https://doi.org/10.5194/gmd-8-2221-2015,https://doi.org/10.5194/gmd-8-2221-2015, 2015
Short summary
The Met Office Global Coupled model 2.0 (GC2) configuration
K. D. Williams, C. M. Harris, A. Bodas-Salcedo, J. Camp, R. E. Comer, D. Copsey, D. Fereday, T. Graham, R. Hill, T. Hinton, P. Hyder, S. Ineson, G. Masato, S. F. Milton, M. J. Roberts, D. P. Rowell, C. Sanchez, A. Shelly, B. Sinha, D. N. Walters, A. West, T. Woollings, and P. K. Xavier
Geosci. Model Dev., 8, 1509-1524, https://doi.org/10.5194/gmd-8-1509-2015,https://doi.org/10.5194/gmd-8-1509-2015, 2015
Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model
J. P. Mulcahy, D. N. Walters, N. Bellouin, and S. F. Milton
Atmos. Chem. Phys., 14, 4749-4778, https://doi.org/10.5194/acp-14-4749-2014,https://doi.org/10.5194/acp-14-4749-2014, 2014
Related subject area  
Climate and Earth System Modeling
The UKC3 regional coupled environmental prediction system
Huw W. Lewis, Juan Manuel Castillo Sanchez, Alex Arnold, Joachim Fallmann, Andrew Saulter, Jennifer Graham, Mike Bush, John Siddorn, Tamzin Palmer, Adrian Lock, John Edwards, Lucy Bricheno, Alberto Martínez-de la Torre, and James Clark
Geosci. Model Dev., 12, 2357-2400, https://doi.org/10.5194/gmd-12-2357-2019,https://doi.org/10.5194/gmd-12-2357-2019, 2019
Short summary
The Monash Simple Climate Model experiments (MSCM-DB v1.0): an interactive database of mean climate, climate change, and scenario simulations
Dietmar Dommenget, Kerry Nice, Tobias Bayr, Dieter Kasang, Christian Stassen, and Michael Rezny
Geosci. Model Dev., 12, 2155-2179, https://doi.org/10.5194/gmd-12-2155-2019,https://doi.org/10.5194/gmd-12-2155-2019, 2019
Short summary
Evaluation of the WRF lake module (v1.0) and its improvements at a deep reservoir
Fushan Wang, Guangheng Ni, William J. Riley, Jinyun Tang, Dejun Zhu, and Ting Sun
Geosci. Model Dev., 12, 2119-2138, https://doi.org/10.5194/gmd-12-2119-2019,https://doi.org/10.5194/gmd-12-2119-2019, 2019
Short summary
Calculating the turbulent fluxes in the atmospheric surface layer with neural networks
Lukas Hubert Leufen and Gerd Schädler
Geosci. Model Dev., 12, 2033-2047, https://doi.org/10.5194/gmd-12-2033-2019,https://doi.org/10.5194/gmd-12-2033-2019, 2019
Short summary
BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia
Chun-Hsu Su, Nathan Eizenberg, Peter Steinle, Dörte Jakob, Paul Fox-Hughes, Christopher J. White, Susan Rennie, Charmaine Franklin, Imtiaz Dharssi, and Hongyan Zhu
Geosci. Model Dev., 12, 2049-2068, https://doi.org/10.5194/gmd-12-2049-2019,https://doi.org/10.5194/gmd-12-2049-2019, 2019
Short summary
Cited articles  
Abel, S. J. and Boutle, I. A.: An improved representation of the raindrop size distribution for single-moment microphysics schemes, Q. J. Roy. Meteorol. Soc., 138, 2151–2162, https://doi.org/10.1002/qj.1949, 2012.
Abel, S. J. and Shipway, B. J.: A comparison of cloud-resolving model simulations of trade wind cumulus with aircraft observations taken during RICO, Q. J. Roy. Meteorol. Soc., 133, 781–794, https://doi.org/10.1002/qj.55, 2007.
Abel, S. J., Walters, D. N., and Allen, G.: Evaluation of stratocumulus cloud prediction in the Met Office forecast model during VOCALS-REx, Atmos. Chem. Phys., 10, 10541–10559, https://doi.org/10.5194/acp-10-10541-2010, 2010.
Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present), J. Hydrometeorol., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003.
Andreas, E. L.: A relationship between the aerodynamic and physical roughness of winter sea ice, Q. J. Roy. Meteorol. Soc., 137, 1581–1588, https://doi.org/10.1002/qj.842, 2011.
Publications Copernicus
Short summary
Global Atmosphere (GA) configurations of the Unified Model (UM) and Global Land (GL) configurations of JULES are developed for use in any global atmospheric modelling application.

We describe a recent iteration of these configurations: GA6/GL6. This includes ENDGame: a new dynamical core designed to improve the model's accuracy, stability and scalability. GA6 is now operational in a variety of Met Office and UM collaborators applications and hence its documentation is important.
Global Atmosphere (GA) configurations of the Unified Model (UM) and Global Land (GL)...
Citation