Articles | Volume 15, issue 3
Geosci. Model Dev., 15, 1177–1194, 2022
https://doi.org/10.5194/gmd-15-1177-2022
Geosci. Model Dev., 15, 1177–1194, 2022
https://doi.org/10.5194/gmd-15-1177-2022

Model description paper 09 Feb 2022

Model description paper | 09 Feb 2022

The Flexible Modelling Framework for the Met Office Unified Model (Flex-UM, using UM 12.0 release)

Penelope Maher and Paul Earnshaw

Related authors

SimCloud version 1.0: a simple diagnostic cloud scheme for idealized climate models
Qun Liu, Matthew Collins, Penelope Maher, Stephen I. Thomson, and Geoffrey K. Vallis
Geosci. Model Dev., 14, 2801–2826, https://doi.org/10.5194/gmd-14-2801-2021,https://doi.org/10.5194/gmd-14-2801-2021, 2021
Short summary
Isca, v1.0: a framework for the global modelling of the atmospheres of Earth and other planets at varying levels of complexity
Geoffrey K. Vallis, Greg Colyer, Ruth Geen, Edwin Gerber, Martin Jucker, Penelope Maher, Alexander Paterson, Marianne Pietschnig, James Penn, and Stephen I. Thomson
Geosci. Model Dev., 11, 843–859, https://doi.org/10.5194/gmd-11-843-2018,https://doi.org/10.5194/gmd-11-843-2018, 2018
Short summary

Related subject area

Atmospheric sciences
Integration-based extraction and visualization of jet stream cores
Lukas Bösiger, Michael Sprenger, Maxi Boettcher, Hanna Joos, and Tobias Günther
Geosci. Model Dev., 15, 1079–1096, https://doi.org/10.5194/gmd-15-1079-2022,https://doi.org/10.5194/gmd-15-1079-2022, 2022
Short summary
Particle-filter-based volcanic ash emission inversion applied to a hypothetical sub-Plinian Eyjafjallajökull eruption using the Ensemble for Stochastic Integration of Atmospheric Simulations (ESIAS-chem) version 1.0
Philipp Franke, Anne Caroline Lange, and Hendrik Elbern
Geosci. Model Dev., 15, 1037–1060, https://doi.org/10.5194/gmd-15-1037-2022,https://doi.org/10.5194/gmd-15-1037-2022, 2022
Short summary
Evaluating the assimilation of S5P/TROPOMI near real-time SO2 columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption
Antje Inness, Melanie Ades, Dimitris Balis, Dmitry Efremenko, Johannes Flemming, Pascal Hedelt, Maria-Elissavet Koukouli, Diego Loyola, and Roberto Ribas
Geosci. Model Dev., 15, 971–994, https://doi.org/10.5194/gmd-15-971-2022,https://doi.org/10.5194/gmd-15-971-2022, 2022
Short summary
Improvement of stomatal resistance and photosynthesis mechanism of Noah-MP-WDDM (v1.42) in simulation of NO2 dry deposition velocity in forests
Ming Chang, Jiachen Cao, Qi Zhang, Weihua Chen, Guotong Wu, Liping Wu, Weiwen Wang, and Xuemei Wang
Geosci. Model Dev., 15, 787–801, https://doi.org/10.5194/gmd-15-787-2022,https://doi.org/10.5194/gmd-15-787-2022, 2022
Short summary
Representation of the autoconversion from cloud to rain using a weighted ensemble approach: a case study using WRF v4.1.3
Jinfang Yin, Xudong Liang, Hong Wang, and Haile Xue
Geosci. Model Dev., 15, 771–786, https://doi.org/10.5194/gmd-15-771-2022,https://doi.org/10.5194/gmd-15-771-2022, 2022
Short summary

Cited articles

Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. a, b, c
Betts, A. K.: A new convective adjustment scheme. Part I: Observational and theoretical basis, Q. J. Roy. Meteor. Soc., 112, 677–691, https://doi.org/10.1002/qj.49711247307, 1986. a
Betts, A. K. and Miller, M. J.: A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets, Q. J. Roy. Meteor. Soc., 112, 693–709, https://doi.org/10.1002/qj.49711247308, 1986. a
Bischoff, T. and Schneider, T.: The Equatorial Energy Balance, ITCZ Position, and Double-ITCZ Bifurcations, J. Climate, 29, 2997–3013, https://doi.org/10.1175/JCLI-D-15-0328.1, 2016. a
Blackburn, M., Williamson, D. L., Nakajima, K., Ohfuchi, W., Takahashi, Y. O., Hayashi, Y.-Y., Nakamura, H., Ishiwatari, M., Mcgregor, J. L., Borth, H., Wirth, V., Frank, H., Bechtold, P., Wedi, N. P., Tomita, H., Satoh, M., Zhao, M., Held, I. M., Suarez, M. J., Lee, M.-I., Watanabe, M., Kimoto, M., Liu, Y., Wang, Z., andrea Molod, Rajendran, K., Kitoh, A., and Stratton, R.: The Aqua-Planet Experiment (APE): CONTROL SST Simulation, J. Meteorol. Soc. Jpn., Ser. II, 91A, 17–56, https://doi.org/10.2151/jmsj.2013-A02, 2013. a, b
Download
Short summary
Climate models do a pretty good job. But they are far from perfect. Fixing these imperfections is really hard because the models are complicated. One way to make progress is to create simpler models: think impressionism rather than realism in the art world. We changed the Met Office model to be intentionally simple and it still does a pretty good job. This will help to identify sources of model imperfections, develop new methods and improve our understanding of how the climate works.