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Adamson, D. S., Belcher, S. E., Hoskins, B. J., & Plant, R. S. (2006). Boundary1145 layer friction in midlatitude cyclones. Q. J. R. Meteorol. Soc., 132 , 101-124. 1146 Arakawa, A., Jung, J.-H., & Wu, C.-M. (2011). Toward uni�cation of the multiscale 1147 modeling of the atmosphere. Atmos. Chem. Phys., 11 (8), 3731{3742. 1148 Arakawa, A., & Wu, C.-M. (2013). A uni�ed representation of deep moist convection 1149 in numerical modeling of the atmosphere. Part I. J. Atmos. Sci., 70 (7), 1977- 1150 1992. 1151 Arnold, D., Morton, D., Schicker, I., Seibert, P., Rotach, M., Horvath, K., . . . 1152 Schneider, S. (2012, 02). High resolution modelling in complex terrain. Report {29{ manuscript submitted to JGR 1153 on the HiRCoT 2012 Workshop, Vienna. 1154 Arnold, D., Morton, D., Schicker, I., Seibert, P., Rotach, M., Horvath, K., . . . 1155 Schneider, S. (2014). Issues in high-resolution atmospheric modeling in 1156 complex terrain - the HiRCoT workshop. Croat. Meteor. J., 47 , 311. 1157 Basu, S., Vinuesa, J.-F., & Swift, A. (2008). Dynamic LES modeling of a diurnal cy1158 cle. J. Appl. Meteorol. Climatol., 47 , 1156-1174. 1159 Beare, R. J. (2014). A length scale de�ning partially-resolved boundary-layer turbu1160 lence simulations. Boundary-Layer Meteorol., 151 , 39-55. 1161 Beljaars, A. C. M., Brown, A. R., & Wood, N. (2004). A new parametrization of 1162 turbulent orographic form drag. Q. J. R. Meteorol. Soc., 130 (599), 1327{1347. 1163 Bengtsson, L., Tijm, S., Vana, F., & Svensson, G. (2012). Impact of ow-dependent 1164 horizontal di�usion on resolved convection in AROME. J. Appl. Meteorol. Cli- 1165 matol., 51 (1), 54-67. 1166 Bhattacharya, R., & Stevens, B. (2016). A two turbulence kinetic energy model as 1167 a scale adaptive approach to modeling the planetary boundary layer. J. Adv. 1168 Model. Earth Syst., 8:1 , 224-243. 1169 Bony, S., Stevens, B., Ament, F., Bigorre, S., Chazette, P., Crewell, S., . . . Wirth, 1170 M. (2017). EUREC4A: A �eld campaign to elucidate the couplings between 1171 clouds, convection and circulation. Surveys in Geophysics, 38 , 1529{1568. 1172 Boutle, I. A., Belcher, S. E., & Plant, R. S. (2015). Friction in mid-latitude cyclones: 1173 an Ekman-PV mechanism. Atmos. Sci. Lett., 16 , 103-109. 1174 Boutle, I. A., Eyre, J. E. J., & Lock, A. P. (2014). Seamless stratocumulus simula1175 tion across the turbulent grey zone. Mon. Wea. Rev., 142 , 1655-1668. 1176 Bou-Zeid, E., Meneveau, C., & Parlange, M. (2005). A scale-dependent Lagrangian 1177 dynamic model for large eddy simulation of complex turbulent ows. Phys. 1178 Fluids, 17 (2), 025105. doi: 10.1063/1.1839152 1179 Brast, M., Schemann, V., & Neggers, R. A. J. (2018). Investigating the scale1180 adaptivity of a size-�ltered mass ux parameterization in the gray zone of 1181 shallow cumulus convection. J. Atmos. Sci., 75 , 1195-1214. 1182 Brown, A. R., Cederwall, R. T., Chlond, A., Duynkerke, P. G., Golaz, J.-C., 1183 Khairoutdinov, M., . . . Stevens, B. (2002). Large-eddy simulation of the 1184 diurnal cycle of shallow cumulus convection over land. Q. J. R. Meteorol. Soc., 1185 128 , 1075-1093. 1186 Bryan, G. H., & Morrison, H. (2012). Sensitivity of a simulated squall line to hori1187 zontal resolution and parameterization of microphysics. Mon. Wea. Rev., 140 , 1188 202-225. 1189 Cheinet, S. (2003). A Multiple Mass-Flux Parameterization for the Surface- 1190 Generated Convection. Part I: Dry Plumes. J. Atmos. Sci., 60 , 2313-2327. 1191 Chen, R., & Tomassini, L. (2015). The role of moisture in summertime low-level jet 1192 formation and associated rainfall over the East Asian monsoon region. J. At- 1193 mos. Sci., 72 , 3871-3890. 1194 Ching, J., Rotunno, R., LeMone, M., Martilli, A., Kosovic, B., Jimenez, P. A., & 1195 Dudhia, J. (2014). Convectively induced secondary circulations in �ne-grid 1196 mesoscale numerical weather prediction models. Mon. Wea. Rev., 142:9 . 1197 Chow, F. K., Street, R. L., Xue, M., & Ferziger, J. H. (2005). Explicit �ltering and 1198 reconstruction turbulence modeling for large-eddy simulation of neutral bound1199 ary layer ow. J. Atmos. Sci., 62 (7), 2058-2077. doi: 10.1175/JAS3456.1 1200 Clarke, R. H., Dyer, A. J., Reid, D. G., & Troup, A. J. (1971). The Wangara exper1201 iment: Boundary layer data. Division Meteorological Physics Paper, CSIRO, 1202 19 , Australia. 1203 Couvreux, F., Guichard, F., Redelsperger, J.-L., Kiemle, C., Masson, V., Lafore, 1204 J.-P., & Flamant, C. (2005). Water vapour variability within a convective 1205 boundary-layer assessed by large-eddy simulations and IHOP2002 observations. 1206 Q. J. R. Meteorol. Soc., 131 , 2665-2693. 1207 Couvreux, F., Hourdin, F., & Rio, C. (2010). Resolved versus parametrized {30{ manuscript submitted to JGR 1208 boundary-layer plumes. Part I: A parametrization-oriented conditional sam1209 pling in large-eddy simulations. Boundary-layer Meteorol., 134 (3), 441{458. 1210 Craig, G. C., & Dornbrack, A. (2008). Entrainment in cumulus clouds: What resolu1211 tion is cloud-resolving? J. Atmos. Sci., 65 , 3978-3988. 1212 De Roode, S. R., Duynkerke, P. G., & Jonker, H. J. J. (2004). Large-eddy simula1213 tion : How large is large enough? J. Atmos. Sci., 61 , 403-421. 1214 de Roode, S. R., Frederikse, T., Siebesma, A. P., Ackerman, A. S., Field, P. R., Hill, 1215 A., . . . L.Tomassini (2019). Turbulent transport in the grey zone: A large1216 eddy simulation intercomparison study of the CONSTRAIN cold air outbreak 1217 case. J. Adv. Model. Earth Syst., 11 , 597{623. 1218 Deardor�, J. W. (1972). Theoretical expression for the counter gradient vertical ux. 1219 J. Geophys. Res., 77 , 5900-5904. 1220 Deardor�, J. W. (1980). Stratocumulus-capped mixed layers derived from a three1221 dimensional model. Boundary-Layer Meteorol., 18 , 495{527. 1222 Dorrestijn, J., Crommelin, D. T., Siebesma, A. P., & Jonker, H. J. J. (2013). 1223 Stochastic parameterization of shallow cumulus convection estimated from 1224 high-resolution model data. Theor. Comp. Fluid Dyn., 27 (1-2), 133-148. 1225 Retrieved from http://dx.doi.org/10.1007/s00162-012-0281-y doi: 1226 10.1007/s00162-012-0281-y 1227 Du�ourg, F., Nuissier, O., Ducrocq, V., Flamant, C., Chazette, P., Delano�e, J., . . . 1228 Bock, O. (2016). O�shore deep convection initiation and maintenance dur1229 ing HyMeX IOP16a heavy precipitation event. Q. J. R. Meteorol. Soc., 142 , 1230 259274. 1231 Efstathiou, G. A., & Beare, R. J. (2015). Quantifying and improving sub-grid di�u1232 sion in the boundary-layer grey zone. Q. J. R. Meteorol. Soc., 141:693 . 1233 Efstathiou, G. A., Beare, R. J., Osborne, S., & Lock., A. P. (2016). Grey zone sim1234 ulations of the morning convective boundary layer development. J. Geophys. 1235 Res. Atmos., 121:9 . 1236 Efstathiou, G. A., & Plant, R. S. (2019). A dynamic extension of the pragmatic 1237 blending scheme for scale-dependent sub-grid mixing. Q. J. R. Meteorol. Soc., 1238 1-9. 1239 Efstathiou, G. A., Plant, R. S., & Bopape., M. M. (2018). Simulation of an evolving 1240 convective boundary layer using a scale-dependent dynamic smagorinsky model 1241 at near-gray-zone resolutions. J. Appl. Meteorol. Clim., 57 , 21972214. 1242 Field, P. R., Brozkov, R., Chen, M., Dudhia, J., Lac, C., Hara, T., . . . McTaggart- 1243 Cowan, R. (2017). Exploring the convective grey zone with regional simula1244 tions of a cold air outbreak. Q. J. R. Meteorol. Soc., 143 (707), 2537-2555. doi: 1245 10.1002/qj.3105 1246 Field, P. R., Cotton, R. J., McBeath, K., Lock, A. P., Webster, S., & Allan, R. P. 1247 (2014). Improving a convection-permitting model simulation of a cold air 1248 outbreak. Q. J. R. Meteorol. Soc., 140 , 124-138. 1249 Fiori, E., Parodi, A., & Siccardi, F. (2010). Turbulence closure parameterization and 1250 grid spacing e�ects in simulated supercell storms. J. Atmos. Sci., 67 (12), 3870- 1251 3890. 1252 Goger, B., Rotach, M. W., Gohm, A., Fuhrer, O., Stiperski, I., & Holtslag, A. A. M. 1253 (2018). The impact of three-dimensional e�ects on the simulation of turbulence 1254 kinetic energy in a major Alpine valley. Boundary-Layer Meteorol., 168 (1), 1255 1{27. 1256 Green, B. W., & Zhang, F. (2015). Numerical simulations of Hurricane Katrina 1257 (2005) in the turbulent gray zone. J. Adv. Model. Earth Syst., 7 , 142-161. doi: 1258 10.1002/2014MS000399 1259 Hagelin, S., Auger, L., Brovelli, P., & Dupont, O. (2014). Nowcasting with the 1260 AROME model: First results from the high-resolution AROME airport. 1261 Weath. and Forecasting, 29 , 773-787. 1262 Hanley, K. E., Plant, R. S., Stein, T. H. M., Hogan, R. J., Nicol, J. C., Lean, H. W., {31{ manuscript submitted to JGR 1263 . . . Clark, P. A. (2014). Mixing-length controls on high-resolution simula1264 tions of convective storms. Q. J. R. Meteorol. Soc., 141 (686), 272-284. doi: 1265 10.1002/qj.2356 1266 Hatlee, S. C., & Wyngaard, J. C. (2007). Improved sub�lter-scale models from the 1267 HATS �eld data. J. Atmos. Sci., 64 , 1694-1705. 1268 Honnert, R., Couvreux, F., Masson, V., & Lancz, D. (2016). Sampling of the struc1269 ture of turbulence : Implications for parameterizations at sub-kilometric scales. 1270 Boundary-Layer Meteorol., 2:27 , doi: 10.3389/feart.2014.00027. 1271 Honnert, R., & Masson, V. (2014). What is the smallest physically ac1272 ceptable scale for 1d turbulence schemes? Front. Earth Sci., 2:27 , doi: 1273 10.3389/feart.2014.00027. 1274 Honnert, R., Masson, V., & Couvreux, F. (2011). A diagnostic for evaluating the 1275 representation of turbulence in atmospheric models at the kilometric scale. J. 1276 Atmos. Sci., 68 , 3112-3131. 1277 Hourdin, F., Couvreux, F., & Menut, L. (2002). Parameterization of the dry convec1278 tive boundary layer based on a mass ux representation of thermals. J. Atmos 1279 Sci., 59 , 1105-1122. 1280 Huq, S., De Roo, F., Raasch, S., & Mauder, M. (2014). Vertical grid nesting for 1281 improved surface layer resolution in large-eddy simulation. In 21st symp. on 1282 boundary layers and turbulence. 1283 Ito, J., Hayashi, S., Hashimoto, A., Ohtake, H., Uno, F., Yoshimura, H., . . . Ya1284 mada, Y. (2017). Stalled improvement in a numerical weather prediction 1285 model as horizontal resolution increases to the sub-kilometer scale. SOLA, 13 , 1286 151-156. doi: 10.2151/sola.2017-028 1287 Ito, J., Niino, H., & Nakanishi, M. (2014). Horizontal turbulent di�usion in a con1288 vective mixed layer. J. Fluid Mech, 758 , 553-564. doi: 10.1017/jfm.2014.545 1289 Ito, J., Niino, H., Nakanishi, M., & Moeng, C.-H. (2015). An extension of Mellor- 1290 Yamada model to the terra incognita zone for dry convective mixed layers in 1291 the free convection regime. Boundary-Layer Meteorol., 157(1), 23-43. 1292 Kealy, J., Efstathiou, G. A., & Beare, R. J. (2019). The onset of resolved boundary1293 layer turbulence at grey-zone resolutions. Boundary-Layer Meteorol., 171 , 31{ 1294 52. 1295 Kelly, M., Wyngaard, J. C., & Sullivan, P. P. (2009). Application of a sub�lter-scale 1296 ux model over the ocean using OHATS �eld data. J. Atmos. Sci., 66 (10), 1297 3217{3225. 1298 Khouider, B., Biello, J., & Majda, A. (2010). A stochastic multicloud model for 1299 tropical convection. Commun. Math. Sci., 8 , 187216. 1300 Kitamura, Y. (2015). Estimating dependence of the turbulent length scales on model 1301 resolution based on a priori analysis. J. Atmos. Sci., 72 , 750-762. 1302 Kitamura, Y. (2016). Application of the new turbulence length scale for the terra 1303 incognita range to numerical simulations of a convective boundary layer. J. 1304 Metorol. Soc. Japan, 94 , 491-506. 1305 Kleissl, J., Kumar, V., Meneveau, C., & Parlange, M. B. (2006). Numerical study 1306 of dynamic Smagorinsky models in large-eddy simulation of the atmospheric 1307 boundary layer: Validation in stable and unstable conditions. Water Resources 1308 Res., 42 . doi: 10.1029/2005WR004685 1309 Kober, K., & Craig, G. C. (2016). Physically based stochastic perturbations (PSP) 1310 in the boundary layer to represent uncertainty in convective initiation. J. At- 1311 mos. Sci., 73 , 2893-2911. 1312 Kuettner, J. P. (1974). General description and central program of GATE. Bull. 1313 Amer. Meteorol. Soc., 55 , 712-719. 1314 Kurowski, M., & Teixeira, J. (2018). A scale-adaptive turbulent kinetic energy clo1315 sure for the dry convective boundary layer. J. Atmos. Sci., 75(2), 675-690. 1316 Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., . . . 1317 Wautelet, P. (2018). Overview of the Meso-NH model version 5.4 and its {32{ manuscript submitted to JGR 1318 applications. Geosci. Model Dev., 11 , 1929{1969. 1319 Lancz, D., Szinta, B., & Honnert, R. (2017). Modi�cation of shallow convection 1320 parametrization in the gray zone in a mesoscale model. Boundary-Layer Mete- 1321 orol.. 1322 Lappen, C.-L., & Randall, D. A. (2001). Toward a uni�ed parameteriza1323 tion of the boundary layer and moist convection. Part I: A new type of 1324 mass- ux model. J. Atmos. Sci., 58 (15), 2021-2036. Retrieved from 1325 https://doi.org/10.1175/1520-0469(2001)058<2021:TAUPOT>2.0.CO;2 1326 doi: 10.1175/1520-0469(2001)058h2021:TAUPOTi2.0.CO;2 1327 Lazeroms, W. M. J., Svensson, G., Bazile, E., Brethouwer, G., Wallin, S., & Jo1328 hansson, A. V. (2016, Oct 01). Study of transitions in the atmospheric 1329 boundary layer using explicit algebraic turbulence models. Boundary-Layer 1330 Meteorol., 161 (1), 19{47. Retrieved from https://doi.org/10.1007/ 1331 s10546-016-0194-1 doi: 10.1007/s10546-016-0194-1 1332 Lean, H. W., Clark, P. A., Dixon, M., Roberts, N. M., Fitch, A., Forbes, R., & Hal1333 liwell, C. (2008). Characteristics of high-resolution versions of the Met O�ce 1334 Uni�ed Model for forecasting convection over the United Kingdom. Mon. Wea. 1335 Rev., 136 (9), 3408-3424. 1336 LeMone, M. A., Chen, F., Tewari, M., Dudhia, J., Geerts, B., Miao, Q., . . . Gross1337 man, R. L. (2010). Simulating the IHOP 2002 fair-weather CBL with the 1338 WRF-ARW-Noah modeling system. Part II: Structures from a few kilome1339 ters to 100 km across. Mon. Wea. Rev., 138 (3), 745-764. Retrieved from 1340 https://doi.org/10.1175/2009MWR3004.1 doi: 10.1175/2009MWR3004.1 1341 Leoncini, G., Plant, R. S., Gray, S. L., & Clark, P. A. (2010). Perturbation growth 1342 at the convective scale for CSIP IOP18. Q. J. R. Meteorol. Soc., 136 , 653-670. 1343 Leroyer, S., Blair, S., Mailhot, J., & Strachan, I. B. (2011). Microscale nu1344 merical prediction over Montreal with the Canadian external urban mod1345 eling system. J. Appl. Meteorol. Climatol., 50 (12), 2410-2428. doi: 1346 10.1175/JAMC-D-11-013.1 1347 Lilly, D. K. (1967). The representation of small-scale turbulence in numerical sim1348 ulation experiments. Proc. IBM Scienti�c Computing Symp. on Environmental 1349 Sciences, 195. 1350 Lock, A. P., Brown, A. R., Bush, M. R., Martin, G. M., & Smith, R. N. B. (2000). 1351 A new boundary layer mixing scheme. Part I : Scheme description and 1352 single-column model tests. Mon. Wea. Rev., 128 (9), 3187-3199. doi: 1353 10.1175/1520-0493(2000)128h3187:ANBLMSi2.0.CO;2 1354 Malavelle, F. F., Haywood, J. M., Field, P. R., Hill, A. A., Abel, S. J., Lock, A. P., 1355 . . . McBeath, K. (2014). A method to represent subgrid-scale updraft velocity 1356 in kilometer-scale models: Implication for aerosol activation. J. Geophys. Res. 1357 Atmos., 119 (7), 4149{4173. doi: 10.1002/2013JD021218 1358 Martinet, M., Nuissier, O., Du�ourg, F., Ducrocq, V., & Ricard, D. (2017). Fine1359 scale numerical analysis of the sensitivity of the HyMeX IOP16a heavy pre1360 cipitating event to the turbulent mixing-length parametrization. Q. J. R. 1361 Meteorol. Soc., 143 , 31223135. doi: 10.1002/qj.3167 1362 Mason, P. J., & Brown, A. R. (1999). On subgrid models and �lter operations in 1363 large eddy simulations. J. Atmos Sci., 56 , 21012104. 1364 Mason, P. J., & Thomson, D. J. (1992). Stochastic backscatter in large-eddy simula1365 tions of boundary layers. J. Fluid Mech., 242 , 5178. 1366 Mellor, G. L., & Yamada, T. (1982). Development of a turbulence closure model for 1367 geophysical uid problems. Rev. Geophys., 20 (4), 851{875. 1368 Mirocha, J., Kirkil, G., Bou-Zeid, E., Chow, F. K., & Kosovic, B. (2013). Transition 1369 and equilibration of neutral atmospheric boundary layer ow in one-way nested 1370 large-eddy simulations using the weather research and forecasting model. Mon. 1371 Wea. Rev., 141 , 918-940. 1372 Mun~oz-Esparza, D., Kosovi�c, B., Mirocha, J., & van Beeck, J. (2014, Dec 01). {33{ manuscript submitted to JGR 1373 Bridging the transition from mesoscale to microscale turbulence in numerical 1374 weather prediction models. Boundary-Layer Meteorol., 153 (3), 409{440. doi: 1375 10.1007/s10546-014-9956-9 1376 Nakanishi, M., & Nino, H. (2009). Development of an improved turbulence closure 1377 model for the atmospheric boundary layer. J. Meteorol. Soc. Japan, 87 (5), 1378 895-912. doi: 10.2151/jmsj.87.895 1379 Neggers, R. A. J., Griewank, P. J., & Heus, T. (2019). Power-law scaling in 1380 the internal variability of cumulus cloud size distributions due to subsam1381 pling and spatial organization. J. Atmos. Sci., 76 (6), 1489-1503. doi: 1382 10.1175/JAS-D-18-0194.1 1383 Neggers, R. A. J., Koehler, M., & Beljaars, A. A. M. (2009). A dual mass ux 1384 framework for boundary-layer convection. Part I: Transport. J. Atmos. Sci., 1385 66 , 1465-1487. doi: 10.1175/2008JAS2635.1 1386 Neggers, R. A. J., Siebesma, A. P., & Jonker, H. J. J. (2002). A multiparcel model 1387 for shallow cumulus convection. J. Atmos. Sci., 59 , 1655-1668. 1388 O'Neill, J. J., Cai, X.-M., & Kinnersley, R. (2015). A generalised stochastic 1389 backscatter model: large-eddy simulation of the neutral surface layer. Q. J. 1390 R. Meteorol. Soc., 141 , 2617-2629. 1391 Orlanski, I. (1975). A rational subdivison of scales for atmospheric processes. Bull. 1392 Amer. Meteorol. Soc., 56 , 527-530. 1393 Palmer, T. (2001). A nonlinear dynamical perspective on model error: A pro1394 posal for non-local stochastic-dynamic parametrization in weather and climate 1395 prediction models. Q. J. R. Meteorol. Soc., 127 , 279-304. 1396 Palmer, T. (2012). Towards the probabilistic Earth-system simulator: A vision 1397 for the future of climate and weather prediction. Q. J. R. Meteorol. Soc., 138 , 1398 841-861. 1399 Park, S. (2014). A Uni�ed Convection Scheme (UNICON). Part I: Formulation. J. 1400 Atmos. Sci., 71 , 3902-3930. doi: 10.1175/JAS-D-13-0233.1 1401 Pergaud, J., Masson, V., Malardel, S., & Couvreux, F. (2009). A parametrisation of 1402 dry thermals and shallow cumuli for mesoscale numerical weather prediction. 1403 Boundary-Layer Meteorol., 132 , 83-106. 1404 Petch, J. C., Brown, A. R., & Gray, M. E. B. (2002). The impact of horizontal reso1405 lution on the simulations of convective development over land. Q. J. R. Meteo- 1406 rol. Soc., 128 , 2031-2044,doi:10.1256/003590002320603511. 1407 Plant, R. S., Bengtsson, L., & Whitall, M. A. (2015). Stochastic aspects of convec1408 tive parameterization. In R. S. Plant & J.-I. Yano (Eds.), Parameterization 1409 of atmospheric convection. Volume 2: Current issues and new theories (pp. 1410 135{172). World Scienti�c, Imperial College Press. 1411 Plant, R. S., & Craig, G. C. (2008). A Stochastic Parameterization for Deep Convec1412 tion Based on Equilibrium Statistics. J. Atmos. Sci., 65 , 87-105. doi: 10.1175/ 1413 2007JAS2263.1 1414 Ramachandran, S., Tandon, A., & Mahadevan, A. (2013). E�ect of subgrid-scale 1415 mixing on the evolution of forced submesoscale instabilities. Ocean Modelling, 1416 66 , 45-63. 1417 Ramachandran, S., & Wyngaard, J. (2011). Sub�lter-scale modelling using transport 1418 equations: Large-eddy simulation of the moderately convective atmospheric 1419 boundary layer. Boundary-Layer Meteorol , 139 , 1-35. 1420 Raynaud, L., & Bouttier, F. (2017). The impact of horizontal resolution and en1421 semble size for convective-scale probabilistic forecasts. Q. J. R. Meteorol. Soc., 1422 143 , 3037-3047. 1423 Redelsperger, J. L., Thorncroft, C. D., A. Diedhiou, T. L., Parker, D. J., & Polcher, 1424 J. (2006). African monsoon multidisciplinary analysis an international research 1425 project and �eld campaign. Bull. Amer. Meteorol. Soc., 87 (12), 1735-1746. 1426 Ricard, D., Lac, C., Legrand, R., Mary, A., & Riette, S. (2013). Kinetic energy spec1427 tra characteristics of two convection-permitting limited-area models AROME {34{ manuscript submitted to JGR 1428 and MesoNH. Q. J. R. Meteorol. Soc., 139 , 1327-1341. 1429 Rio, C., Hourdin, F., Couvreux, F., & Jam, A. (2010). Resolved versus parametrized 1430 boundary-layer plumes. Part II : Continuous formulations of mixing rates for 1431 mass- ux schemes. Boundary-Layer Meteorol , 135 , 469-483. 1432 Roberts, N. M., & Lean, H. W. (2008). Scale-selective veri�cation of rainfall accu1433 mulations from high-resolution forecasts of convective events. Mon. Wea. Rev., 1434 136 (1), 78-97. doi: 10.1175/2007MWR2123.1 1435 Sakradzija, M., Seifert, A., & Dipankar, A. (2016). A stochastic scale-aware param1436 eterization of shallow cumulus convection across the convective gray zone. J. 1437 Adv. Model. Earth Syst., 8 (2), 786{812. Retrieved from http://dx.doi.org/ 1438 10.1002/2016MS000634 doi: 10.1002/2016MS000634 1439 Sakradzija, M., Seifert, A., & Heus, T. (2014). Fluctuations in a quasi-stationary 1440 shallow cumulus cloud ensemble. Nonlin. Processes Geophys. Discuss., 1 , 1223- 1441 1282. doi: 10.5194/npgd-1-1223-2014 1442 Seity, Y., Brousseau, P., Malardelle, S., Hello, G., Bouttier, F., Lac, C., & Masson, 1443 V. (2011). The AROME-France convective scale operational model. Mon. 1444 Wea. Rev., 139 , 976-991. 1445 Shin, H. H., & Dudhia, J. (2016). Evaluation of PBL parameterizations 1446 in WRF at subkilometer grid spacings: Turbulence statistics in the dry 1447 convective boundary layer. Mon. Wea. Rev., 144 (3), 1161-1177. doi: 1448 10.1175/MWR-D-15-0208.1 1449 Shin, H. H., & Hong, S. (2013). Analysis on resolved and parameterized vertical 1450 transports in the convective boundary layers at the gray-zone resolution. J. At- 1451 mos. Sci., 70 , 3248-3261. 1452 Shin, H. H., & Hong, S. (2015). Representation of the subgrid-scale turbulent trans1453 port in convective boundary layers at gray-zone resolutions. Mon. Wea. Rev., 1454 143 , 250-271. 1455 Siebesma, A. P., & Cuijpers, J. W. M. (1995). Evaluation of parametric assumptions 1456 for shallow cumulus convection. J. Atmos. Sci., 52 (6), 650{666. 1457 Siebesma, A. P., Soares, P. M. M., & Teixeira, J. (2007). A combined eddy1458 di�usivity mass- ux approach for the convective boundary layer. J. Atmos. 1459 Sci., 64 , 1230-1248. 1460 Siebesma, P., JAKOB, C., LENDERINK, G., NEGGERS, R. A. J., TEIXEIRA, 1461 J., van MEIJGAARD, E., . . . SEVERIJNS, C. (2004). Cloud representation 1462 in general-circulation models over the northern Paci�c ocean: A EUROCS 1463 intercomparison study. Q. J. R. Meteorol. Soc., 130 , 3245-3267. 1464 Simon, J. S., Zhou, B., Mirocha, J. D., & Chow, F. K. (2019). Explicit �lter1465 ing and reconstruction to reduce grid dependence in convective boundary 1466 layer simulations using WRF-LES. Mon. Wea. Rev., 147 , 1805{1821. doi: 1467 10.1175/MWR-D-18-0205.1 1468 Skamarock, W. C. (2004). Evaluating mesoscale NWP models using kinetic energy 1469 spectra. Mon. Wea. Rev., 132 , 3019-3032. 1470 Smagorinsky, J. J. (1967). General circulation experiments with the primitive equa1471 tions. Mon. Wea. Rev., 91 (3), 99-164. doi: 10.1175/1520-0493(1963)091h0099: 1472 GCEWTPi2.3.CO;2 1473 Stein, T. H. M., Hogan, R. J., Clark, P. A., Halliwell, C. E., Hanley, K. E., Lean, 1474 H. W., . . . Plant, R. S. (2015). The DYMECS project: A statistical approach 1475 for the evaluation of convective storms in high-resolution NWP models. Bull. 1476 Amer. Meteorol. Soc., 96 , 939-951. 1477 Stirling, A. J., & Petch, J. C. (2004). The impacts of spatial variability on the devel1478 opment of convection. Q. J. R. Meteorol. Soc., 130 , 3189-3206. 1479 Stoelinga, M. T. (1996). A potential vorticity-based study on the role of diabatic 1480 heating and friction in a numerically simulated baroclinic cyclone. Mon. Wea. 1481 Rev., 124 , 849-874. 1482 Stull, R. B. (1984). Transilient turbulence theory. Part I : The concept of eddy- {35{ manuscript submitted to JGR 1483 mixing across �nite distances. J. Atmos. Sci., 41 , 3351-3366. 1484 Stull, R. B. (1988). An introduction to boundary layer meteorology. Kluwer Acaemic 1485 Publishers. 1486 Sullivan, P. P., Horst, T. W., Lenschow, D. H., Moeng, C.-H., & Weil, J. C. (2003). 1487 Structure of sub�lter-scale uxes in the atmospheric surface layer with applica1488 tion to large-eddy simulation modelling. J. Fluid Mech, 482 , 101{139. 1489 Sullivan, P. P., McWilliams, J. C., & Moeng, C.-H. (1996). A grid nesting method 1490 for large-eddy simulation of planetary boundary-layer ows. Boundary-Layer 1491 Meteorol., 80 (1-2), 167-202. 1492 Sullivan, P. P., & Patton, E. G. (2011). The e�ect of mesh resolution on convective 1493 boundary layer statistics and structures generated by large-eddy simulation. J. 1494 Atmos. Sci., 68 (10), 2395-2415. doi: 10.1175/JAS-D-10-05010.1 1495 Suselj, K., Hogan, T. F., & Teixeira, J. (2014). Implementation of a stochas1496 tic eddy-di�usivity/mass- ux parameterization into the Navy Global 1497 Environmental Model. Weath. and Forecasting, 29 , 1374-1390. doi: 1498 10.1175/WAF-D-14-00043.1 1499 Tan, Z., Kaul, C. M., Pressel, K. G., Cohen, Y., Schneider, T., & Teixeira, J. (2018). 1500 An extended eddy-di�usivity mass- ux scheme for uni�ed representation of 1501 subgrid-scale turbulence and convection. J. Adv. Model. Earth Syst., 10 , 1502 770-800. 1503 Teixeira, J., & Cheinet, S. (2004). A simple mixing length formulation for the 1504 eddy-di�usivity parameterization of dry convection. Boundary-Layer Meteorol., 1505 110 (3), 435{453. 1506 Lafore, J., Stein, J., Asencio, N., Bougeault, P., Ducrocq, V., Duron, J., . . . Vila- 1507 Guerau de Arellano, J. (1998). The M�eso-NH atmospheric simulation system. 1508 Part I : Adiabatic formulation and control simulation. Annales Geophysics, 1509 16 , 90-109. 1510 Thuburn, J., Weller, H., Vallis, G. K., Beare, R. J., & Whitall, M. (2018). A 1511 framework for convection and boundary layer parameterization derived from 1512 conditional �ltering. J. Atmos. Sci., 75 (3), 965-981. Retrieved from https:// 1513 doi.org/10.1175/JAS-D-17-0130.1 doi: 10.1175/JAS-D-17-0130.1 1514 Tomassini, L., Field, P. R., Honnert, R., Malardel, S., McTaggart-Cowan, R., Saitou, 1515 K., . . . Seifert, A. (2016). The grey zone cold air outbreak global model inter1516 comparison : A cross evaluation using large-eddy simulations. J. Adv. Model. 1517 Earth Syst., 9 , 39-64, doi:10.1002/2016MS000822. 1518 Tomassini, L., Parker, D. J., Stirling, A., Bain, C., Senior, C., & Milton, S. (2017). 1519 The interaction between moist diabatic processes and the atmospheric circula1520 tion in African Easterly Wave propagation. Q. J. R. Meteorol. Soc.. 1521 Verrelle, A., Ricard, D., & Lac, C. (2015). Sensitivity of high-resolution ideal1522 ized simulations of thunderstorms to horizontal resolution and turbulence 1523 parametrization. Q. J. R. Meteorol. Soc., 141 , 433{448. 1524 Verrelle, A., Ricard, D., & Lac, C. (2017). Evaluation and improvement of turbu1525 lence parameterization inside deep convective clouds at kilometer-scale resolu1526 tion. Mon. Wea. Rev., 145 (10), 3947-3967. doi: 10.1175/MWR-D-16-0404.1 1527 Wagner, J. S., Gohm, A., & Rotach, M. W. (2014). The impact of horizontal model 1528 grid resolution on the boundary layer structure over an idealized valley. Mon. 1529 Wea. Rev., 142 (9), 3446-3465. 1530 Wagner, T. M., & Graf, H.-F. (2010). An ensemble cumulus convection parameter1531 ization with explicit cloud treatment. J. Atmos. Sci., 67 , 3854-3869. doi: 10 1532 .1175/2010JAS3485.1 1533 Warren, R. A., Kirshbaum, D. J., Plant, R. S., & Lean, H. W. (2014). A Boscastle1534 type quasi-stationary convective system over the UK southwest peninsula. Q. 1535 J. R. Meteorol. Soc., 140 (678), 240-257. 1536 Weckwerth, T. M., Parsons, D. B., Koch, S. E., Moore, J. A., LeMone, M. A., De1537 moz, B. B., . . . Feltz, W. F. (2004). An overview of the International H2O {36{ manuscript submitted to JGR 1538 Project (IHOP 2002) and some preliminary highlights. Bull. Amer. Meteor. 1539 Soc., 85 (2), 253-278. doi: 10.1175/BAMS-85-2-253 1540 Weinbrecht, S., & Mason, P. J. (2008). Stochastic backscatter for cloud-resolving 1541 models. Part I: Implementation and testing in a dry convective boundary layer. 1542 J. Atmos. Sci., 65 , 123-139. 1543 Wyngaard, J. C. (2004). Toward numerical modelling in the 'Terra Incognita'. J. 1544 Atmos. Sci., 61 , 1816-1826. 1545 Xie, Z.-T., & Castro, I. P. (2008). E�cient generation of in ow conditions for large 1546 eddy simulation of street-scale ows. Flow Turbulence Combust., 81 , 449-470. 1547 Young, G. S., Kristovich, D. A. R., Hjelmfelt, M. R., & Foster, R. C. (2002). Rolls, 1548 streets, waves, and more: A review of quasi-two-dimensional structures in the 1549 atmospheric boundary layer. Bull. Amer. Meteorol. Soc., 83 (7), 997{1002. 1550 Zhang, X., Bao, J.-W., Chen, B., & Grell, E. D. (2018). A three-dimensional scale1551 adaptive turbulent kinetic energy scheme in the WRF-ARW model. Mon. 1552 Wea. Rev., 146 (7), 2023-2045. doi: 10.1175/MWR-D-17-0356.1 1553 Zhou, B., Simon, J. S., & Chow, F. K. (2014). The convective boundary layer in the 1554 terra incognita. J. Atmos. Sci., 71 (7), 2545-2563. doi: 10.1175/JAS-D-13-0356 1555 .1 1556 Zhou, B., Xue, M., & Zhu, K. (2017). A grid-re�nement-based approach for mod1557 eling the convective boundary layer in the gray zone: A pilot study. J. Atmos. 1558 Sci., 74 (11), 3497-3513. doi: 10.1175/JAS-D-16-0376.1 1559 Zhou, B., Xue, M., & Zhu, K. (2018). A grid-re�nement-based approach for model1560 ing the convective boundary layer in the gray zone: Algorithm implementation 1561 and testing. J. Atmos. Sci., 75 (4), 1143-1161. doi: 10.1175/JAS-D-17-0346.1 {37{