Ahn, M.-S., Kim, D., Kang, D., Lee, J., Sperber, K. R., Gleckler, P. J., . . . Kim, H.
321 (2020). MJO propagation across the Maritime Continent: Are CMIP6 models better
322 than CMIP5 models? Geophys Res Lett , 47 (11), e2020GL087250. doi: 10.1029/
323 2020GL087250
324 Arakawa, A. (2004). The cumulus parameterization problem: Past, present, and future. J
Climate, 17 (13), 2493 - 2525. doi: 10.1175/1520-0442(2004)017$�$2493:RATCPP$� 325
326 $2.0.CO;2
327 Brown, N., Weiland, M., Hill, A., Shipway, B., Maynard, C., Allen, T., & Rezny, M. (2020).
328 A highly scalable Met Office NERC cloud model. Retrieved from https://arxiv.org/
329 abs/2009.12849 doi: 10.48550/arXiv.2009.12849
330 Bryan, G. H., Wyngaard, J. C., & Fritsch, J. M. (2003). Resolution requirements for the
331 simulation of deep moist convection. Mon Weather Rev, 131 (10), 2394 - 2416. doi:
–15–
manuscript submitted to Journal of Advances in Modeling Earth Systems (JAMES)
332 10.1175/1520-0493(2003)131�2394:RRFTSO�2.0.CO;2
333 Bull, J. M., & Derbyshire, S. H. (1990). Numerical solution of the surface layer equations
334 (Tech. Rep.). Met Office: Turbulence and Diffusion Technical Note 197.
335 Chua, X. R., Ming, Y., & Jeevanjee, N. (2019). Investigating the fast response of pre336
cipitation intensity and boundary layer temperature to atmospheric heating using
337 a cloud-resolving model. Geophysical Research Letters, 46 (15), 9183-9192. doi:
338 10.1029/2019GL082408
339 Daleu, C. L., Plant, R. S., Stirling, A. J., & Whitall, M. (2023). Evaluating the CoMorph-
340 A parametrization using idealized simulations of the two-way coupling between con341
vection and large-scale dynamics. Q J Roy Meteor Soc, 149 (757), 3087-3109. doi:
342 10.1002/qj.4547
343 Daleu, C. L., Plant, R. S., Woolnough, S. J., Sessions, S., Herman, M. J., Sobel, A., . . .
344 van Ulft, L. (2015). Intercomparison of methods of coupling between convection and
345 large-scale circulation: 1. Comparison over uniform surface conditions. J Adv Model
346 Earth Sy, 7 (4), 1576-1601. doi: https://doi.org/10.1002/2015MS000468
347 Emanuel, K. A., & Zˇivkovi´c Rothman, M. (1999). Development and evaluation of a con348
vection scheme for use in climate models. J Atmos Sci , 56 (11), 1766 - 1782. doi:
349 10.1175/1520-0469(1999)056�1766:DAEOAC�2.0.CO;2
350 Field, P. R., Hill, A., Shipway, B., Furtado, K., Wilkinson, J., Miltenberger, A., . . . VanWe351
verberg, K. (2023). Implementation of a double moment cloud microphysics scheme
352 in the UK Met Office regional numerical weather prediction model. Q J Roy Meteor
353 Soc, 149 (752), 703-739. doi: 10.1002/qj.4414
354 Grell, G. A., & Freitas, S. R. (2014). A scale and aerosol aware stochastic convective
355 parameterization for weather and air quality modeling. Atmos Chem Phys, 14 (10),
356 5233–5250. doi: 10.5194/acp-14-5233-2014
357 Herman, M. J., & Kuang, Z. (2013). Linear response functions of two convective parame358
terization schemes. J Adv Model Earth Sy, 5 (3), 510–541. doi: 10.1002/jame.20037
359 Hong, S.-Y., Noh, Y., & Dudhia, J. (2006). A new vertical diffusion package with an
360 explicit treatment of entrainment processes. Mon Weather Rev, 134 (9), 2318 - 2341.
361 doi: 10.1175/MWR3199.1
362 Hwong, Y. L., Song, S., Sherwood, S. C., Stirling, A. J., Rio, C., Roehrig, R., . . .
363 Touz´e-Peiffer, L. (2021). Characterizing convection schemes using their responses
364 to imposed tendency perturbations. J Adv Model Earth Sy, 13 (5), e2021MS002461.
–16–
manuscript submitted to Journal of Advances in Modeling Earth Systems (JAMES)
365 (e2021MS002461 2021MS002461) doi: 10.1029/2021MS002461
366 Jim´enez, P. A., Dudhia, J., Gonz´alez-Rouco, J. F., Navarro, J., Mont´avez, J. P., & Garc´ıa-
367 Bustamante, E. (2012). A revised scheme for the WRF surface layer formulation.
368 Mon Weather Rev, 140 (3), 898 - 918. doi: 10.1175/MWR-D-11-00056.1
369 Khairoutdinov, M. F., & Randall, D. A. (2003). Cloud resolving modeling of the ARM
370 summer 1997 IOP:Model formulation, results, uncertainties, and sensitivities. J Atmos
371 Sci , 60 (4), 607 - 625. doi: 10.1175/1520-0469(2003)060�0607:CRMOTA�2.0.CO;2
372 Khouider, B., St-Cyr, A., Majda, A. J., & Tribbia, J. (2011). The MJO and convectively
373 coupled waves in a coarse-resolution GCM with a simple multicloud parameterization.
374 J Atmos Sci , 68 (2), 240 - 264. doi: 10.1175/2010JAS3443.1
375 Kuang, Z. (2010). Linear response functions of a cumulus ensemble to temperature and mois376
ture perturbations and implications for the dynamics of convectively coupled waves.
377 J Atmos Sci , 67 (4), 941–962. doi: 10.1175/2009JAS3260.1
378 Kwon, Y. C., & Hong, S.-Y. (2017). A mass-flux cumulus parameterization scheme across
379 gray-zone resolutions. Mon Weather Rev, 145 (2), 583 - 598. doi: 10.1175/MWR-D
380 -16-0034.1
381 Lilly, D. K. (1967). The representation of small-scale turbulence in numerical simulation
382 experiments. In Proc. IBM Sci. Comput. Symp. on Environmental Science (pp. 195–
383 210).
384 Lin, J., Qian, T., Bechtold, P., Grell, G., Zhang, G. J., Zhu, P., . . . Han, J. (2022).
385 Atmospheric convection. Atmos Ocean, 60 (3-4), 422-476. doi: 10.1080/07055900
386 .2022.2082915
387 Muller, C., & Bony, S. (2015). What favors convective aggregation and why? Geophys Res
388 Lett , 42 (13), 5626-5634. doi: 10.1002/2015GL064260
389 Rio, C., Del Genio, A. D., & Hourdin, F. (2019). Ongoing breakthroughs in convective
390 parameterization. Current Climate Change Reports, 5 (2), 95-111. doi: 10.1007/
391 s40641-019-00127-w
392 Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., . . . Huang, X.
393 (2021). A Description of the Advanced Research WRF Model Version 4.1 (Tech. Rep.
394 Nos. NCAR/TN-556+STR). NCAR. doi: 10.5065/1dfh-6p97
395 Smagorinsky, J. (1963). General circulation experiments with the primitive equations. Mon
396 Weather Rev, 91 , 99-164. doi: 10.1175/1520-0493(1963)091�0099:GCEWTP�2.3.CO;
397 2
–17–
manuscript submitted to Journal of Advances in Modeling Earth Systems (JAMES)
Stevens, B., Satoh, 398 M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X., . . . Zhou, L.
399 (2019). DYAMOND: the DYnamics of the Atmospheric general circulation Modeled
400 On Non-hydrostatic Domains. Prog Earth Planet Sci , 6 (1), 61. doi: 10.1186/s40645
401 -019-0304-z
402 Thompson, G., Field, P. R., Rasmussen, R. M., & Hall, W. D. (2008). Explicit forecasts of
403 winter precipitation using an improved bulk microphysics scheme. Part II: Implemen404
tation of a new snow parameterization. Mon Weather Rev, 136 (12), 5095 - 5115. doi:
405 10.1175/2008MWR2387.1
406 Wing, A. A., Reed, K. A., Satoh, M., Stevens, B., Bony, S., & Ohno, T. (2018). Radiative–
407 convective equilibrium model intercomparison project. Geosci Model Dev, 11 (2), 793–
408 813. doi: 10.5194/gmd-11-793-2018
409 Zhang, C., & Wang, Y. (2017). Projected future changes of tropical cyclone activity over the
410 Western North and South Pacific in a 20-km-mesh regional climate model. J Climate,
411 30 (15), 5923 - 5941. doi: 10.1175/JCLI-D-16-0597.1
412 Zhang, C., Wang, Y., & Hamilton, K. (2011). Improved representation of boundary layer
413 clouds over the Southeast Pacific in ARW-WRF using a modified Tiedtke cumulus
414 parameterization scheme. Mon Weather Rev, 139 (11), 3489 - 3513. doi: 10.1175/
415 MWR-D-10-05091.1
–