Becker, T., Bechtold, P., and Sandu, I.: Characteristics of convective precipitation over tropical Africa in storm-resolving global simulation, Q. J. Roy. Meteorol. Soc., 147, 4388–4407,
https://doi.org/10.1002/qj.4185, 2021.
a
Da-Silva, N. A., Muller, C., Shamekh, S., and Fildier, B.: Significant amplification of instantaneous extreme precipitation with convective self-aggregation, J. Adv. Model. Earth Syst., 13, e2021MS002607,
https://doi.org/10.1029/2021MS002607, 2021.
a
Dong, W., Zhao, M., Ming, Y., Krasting, J. P., and Ramaswamy, V.: Simulation of United States Mesoscale Convective Systems using GFDL’s New High-Resolution General Circulation Model, J. Clim., 36, 6967–6990,
https://doi.org/10.1175/JCLI-D-22-0529.1, 2023.
a,
b
Doswell, C. A., Brooks, H. E., and Maddox, R. A.: Flash Flood Forecasting: An Ingredients Based Methodology, Weather Forecast., 11, 560–581,
https://doi.org/10.1175/1520-0434(1996)011<0560:FFFAIB>2.0.CO;2, 1996.
a,
b
Feng, Z., Leung, L. R., Hauze, R. A., Hagos, S., Hardin, J., Yang, Q., Han, and Fan, J.: Structure and Evolution of Mesoscale Convective Systems: Sensitivity to Cloud Microphysics in Convection-Permitting Simulations Over the United States, J. Adv. Model. Earth Syst., 10, 1470–1494,
https://doi.org/10.1029/2018MS001305, 2018.
a
Feng, Z., Leung, L. R., Liu, N., Wang, J., Houze, R. A., Li, J., Hardin, J. C., Chen, D., and Guo, J.: A Global High-Resolution Mesoscale Convective System Database Using Satellite-Derived Cloud Tops, Surface Precipitation, and Tracking, J. Geophys. Res.-Atmos., 126, e2020JD034202,
https://doi.org/10.1029/2020JD034202, 2021a.
a,
b,
c,
d
Feng, Z., Song, F., Sakaguchi, K., and Leung, L. R.: Evaluation of Mesoscale Convective Systems in Climate Simulations: Methodological Development and Results from MPAS-CAM over the United States, J. Clim., 34, 2611–2633,
https://doi.org/10.1175/JCLI-D-20-0136.1, 2021b.
a
Feng, Z., Prein, A. F., Kukulies, J. Fiolleau, T., Jones, W. K., and Maybee, B, e. a.: Mesoscale convective systems tracking method intercomparison (MCSMIP): Application to DYAMOND global km‐scale simulations, J. Geophys. Res.-Atmos., 130, e2024JD042204,
https://doi.org/10.1029/2024JD042204, 2025.
a
Gupta, A. K., Deshmukh, A., Waman, D., Patade, S., Jadav, A., Phillips, V. T. J., Bansemer, A., Martins, J. A., and Gonçalves, F. L. T.: The microphysics of the warm-rain and ice crystal processes of precipitation in simulated continental convective storms, Commun. Earth Environ., 4,
https://doi.org/10.1038/s43247-023-00884-5, 2023.
a
Han, J.-Y. and Hong, S.-Y.: Precipitation forecast experiments using the Weather Research and Forecasting (WRF) model at gray-zone resolutions, Weather Forecast., 33, 1605–1616,
https://doi.org/10.1175/WAF-D-18-0026.1, 2018.
a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., noz‐Sabater, J. M., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G. D., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépautet, J.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, 2020.
a,
b
Hernández, K. S., Henao, J. J., Gómez-Ríos, S., Robledo, V., Rendón, A. M., and Mejía, J. F.: Spatio-Temporal Representation of Mesoscale Convective Systems in Convection-Permitting Simulations Over Northwestern South America: Insights Into Rainfall Overestimation, J. Geophys. Res.-Atmos., 130, e2024JD042289,
https://doi.org/10.1029/2024JD042289, 2025.
a
Houze Jr., R. A.: Cloud Dynamics, 2nd edn., Academic Press, ISBN 978-0-12-374266-7, 2014.
a,
b,
c
Hsu, W. C., Kooperman, G. J., Hannah, W. M., Reed, K. A., Akinsanola, A. A., and Pendergrass, A. G.: Evaluating Mesoscale Convective Systems Over the US in Conventional and Multiscale Modeling Framework Configurations of E3SMv1, J. Geophys. Res.-Atmos., 128, e2023JD038740,
https://doi.org/10.1029/2023JD038740, 2023.
a
Huffman, G. J., Bolvin, D. T., Braithwaite, D., Hsu, K., Joyce, R., Kidd, C., Nelkin, E. J., Sorooshian, S., Tan, J., and Xie, P.: NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Doc., 6, 38 pp.,
https://gpm.nasa.gov/sites/default/files/document_files/IMERG_ATBD_V06_0.pdf (last access: 20 August 2025), 2019. a
Huffman, G. J., Stocker, E. F., Bolvin, D., Nelkin, E., and Tan, J.: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree
× 0.1 degree V07, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set],
https://doi.org/10.5067/GPM/IMERG/3B-HH/07, 2023.
a
Janowiak, J., Joyce, J., and Xie, P.: NCEP/CPC L3 Half Hourly 4km Global (60S–60N) Merged IR V1, Edited by Andrey Savtchenko, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set],
https://doi.org/10.5067/P4HZB9N27EKU, 2017.
a
Judt, F. and Rios-Berrios, R.: Resolved convection improves the representation of equatorial waves and tropical rainfall variability in a global nonhydrostatic model., Geophys. Res. Lett., 48, e2021GL093265,
https://doi.org/10.1029/2021GL093265, 2021.
a
Kukulies, J., Prein, A. F., and Morrison, H.: Simulating precipitation efficiency across the deep convective gray zone, J. Geophys. Res.-Atmos., 129, e2024JD041924,
https://doi.org/10.1029/2024JD041924, 2024.
a,
b
Kukulies, J., Prein, A. F., Done, J., Stansfield, A. M., and Berrios, R. R.-.: Precipitation Efficiency by Storm Type in Km-scale Climate Simulations and Satellite Observations, J. Geophys. Res.-Atmos., 131, e2025JD044800,
https://doi.org/10.1029/2025JD044800, 2026.
a,
b,
c,
d,
e,
f,
g,
h,
i
Li, R. L., Studholme, J. H. P., Fedorov, A. V., and Storelvmo, T.: Precipitation efficiency constraint on climate change, Nat. Clim. Change, 12, 642–648, 2022.
a,
b,
c,
d,
e,
f,
g,
h,
i,
j
Lin, G., Jones, C. R., Leung, L. R., Feng, Z., and Ovchinnikov, M.: Mesoscale Convective Systems in a Superparameterized E3SM Simulation at High Resolution, J. Adv. Model. Earth Syst., 14, e2021MS002660,
https://doi.org/10.1029/2021MS002660, 2022.
a
Liu, C.: Rainfall Contributions from Precipitation Systems with Different Sizes, Convective Intensities, and Durations over the Tropics and Subtropics, J. Hydrometeor., 12, 394–412,
https://doi.org/10.1175/2010JHM1320.1, 2012.
a
Loftus, K. and Wordsworth, R. D.: The physics of falling raindrops in diverse planetary atmospheres, J. Geophys. Res.-Planets, 126, e2020JE006653,
https://doi.org/10.1029/2020JE006653, 2021.
a
Lutsko, N. J. and Cronin, T. W.: Increase in Precipitation Efficiency With Surface Warming in Radiative Convective Equilibrium, J. Adv. Model. Earth Syst., 10, 2990–3010,
https://doi.org/10.1029/2018MS001482, 2018.
a
Lutsko, N. J., Sherwood, S. C., and Zhao, M.: Precipitation efficiency and climate sensitivity, in: Clouds and Their Climatic Impacts: Radiation, Circulation, and Precipitation, edited by: Sullivan, S. C. and Hoose, C., John Wiley & Sons, Inc., 271–285,
https://doi.org/10.1002/9781119700357.ch13, 2023.
a
Ma, H. Y., Klein, S. A., Lee, J., Ahn, M. S., Tao, C., and Gleckler, P. J.: Superior daily and sub-daily precipitation statistics for intense and long-lived storms in global storm-resolving models, Geophys. Res. Lett., 49, e2021GL096759,
https://doi.org/10.1029/2021GL096759, 2022.
a
Makgoale, T. E. and Sullivan, S. C.: Characterization and comparison of simulated precipitation efficiency from global storm‐resolving models over the Asian monsoon region, J. Geophys. Res.-Atmos., 130, e2025JD044228,
https://doi.org/10.1029/2025JD044228, 2025.
a,
b
Makgoale, T. E., Sullivan, S. C., and Kukulies, J.: Dataset for: An Observational Perspective on Precipitation Efficiency of Mesoscale Convective Systems over the Asian Monsoon Region (v1.0), Zenodo [data set],
https://doi.org/10.5281/zenodo.19350427, 2026.
a
Mauritsen, T. and Stevens, B.: Missing iris effect as a possible cause of muted hydrological change and high climate sensitivity in models, Nat. Geosci., 8, 346–351,
https://doi.org/10.1038/ngeo2414, 2015.
a
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes, Mon. Weather Rev., 137, 991–1007,
https://doi.org/10.1175/2008MWR2556.1, 2009.
a
Na, Y., Fu, Q., and Kodama, C.: Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations, J. Geophys. Res.-Atmos., 125, e2019JD03192,
https://doi.org/10.1029/2019JD031926, 2020.
a
Paul, K., Dubey, S., and Cui, W.: Mesosc
ale Convective Systems over South Asia: Unraveling climatology, land-ocean differences and environmental drivers, Clim. Dyn., 63,
https://doi.org/10.1007/s00382-025-07844-z, 2025.
a
Pfreundschuh, S., Kukulies, J., Amell, A., Hallborn, H., May, E., and Eriksson, P.: The Chalmers Cloud Ice Climatology: A Novel Robust Climate Record of Frozen Cloud Hydrometeor Concentrations, J. Geophys. Res.-Atmos., 130, e2024JD042618,
https://doi.org/10.1029/2024JD042618, 2025.
a,
b,
c
Prein, A. F., Feng, Z., Fiolleau, T., Moon, Z. L., Ocasio, K. M. N., Kukulies, J., Roca, R., Varble, A. C., Rehbein, A., Liu, C., Ikeda, K., Mu, Y., and Rasmussen, R. M.: Km‐scale simulations of mesoscale convective systems over South America – A feature tracker intercomparison, J. Geophys. Res.-Atmos., 129, e2023JD040254,
https://doi.org/10.1029/2023JD040254, 2024.
a
Song, J., Song, F., Feng, Z., Leung, L. R., Li, C., and Wu, L.: Realistic Precipitation Diurnal Cycle in Global Convection‐Permitting Models by Resolving Mesoscale Convective Systems, Geophys. Res. Lett., 51, e2024GL109945,
https://doi.org/10.1029/2024GL109945, 2024.
a
Stevens, B., Satoh, M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X., Duben, P., Judt, F., Khairoutdinov, M., Klocke, D., Kodoma, C., Kornblueh, L., Lin, S. J., Neumann, P., Putman, W. M., Rober, N., Shibuya, R.and Vanniere, B., Vidale, P. L., Wedi, N., and Zhou, L.: DYAMOND: The dynamics of the atmospheric general circulation modeled on non-hydrostatic domains, Prog. Earth Planet. Sci., 6, 61,
https://doi.org/10.1186/s40645-019-0304-z, 2019.
a
Sui, C. H., Satoh, M., and Suzuki, K.: Precipitation Efficiency and its Role in Cloud-Radiative Feedbacks to Climate Variability, J. Meteorol. Soc., 98, 261–282,
https://doi.org/10.2151/jmsj.2020-024, 2020.
a,
b
Tao, W.-K., Johnson, D., Shie, C.-L., and Simpson, J.: The Atmospheric Energy Budget and Large-Scale Precipitation Efficiency of Convective Systems during TOGA COARE, GATE, SCSMEX, and ARM: Cloud-Resolving Model Simulations, J. Atm. Sci., 61, 2405–2423,
https://doi.org/10.1175/1520-0469(2004)061<2405:TAEBAL>2.0.CO;2, 2004.
a
Virts, K. S. and Houze, R. A.: Seasonal and Intraseasonal Variability of Mesoscale Convective Systems over the South Asian Monsoon Region, J. Atmos. Sci., 73, 4753–4773,
https://doi.org/10.1175/JAS-D-16-0022.1, 2016.
a
Wang, B., Luo, X., Yang, Y., Sun, W., Cane, M. A., Cai, W., and Yeh, S.-W.: Historical Change of the Asian Summer Monsoon, Nature Reviews Earth & Environment, 2, 587–598, 2021. a
Webster, P. J., Magaña, V. O., Palmer, T. N., Shukla, J., Tomas, R. A., Yanai, M., and Yasunari, T.: Monsoons: Processes, Predictability, and the Prospects for Prediction, J. Geophys. Res.-Oceans, 103, 14451–14510,
https://doi.org/10.1029/97JC02719, 1998.
a
Wing, A. A., Emanuel, K., Holloway, C. E., and Muller, C.: Convective Self-Aggregation in Numerical Simulations: A Review, Surv. Geophys.,
https://doi.org/10.1007/s10712-017-9408-4, 2017.
a
Xie, X., Evaristo, R., Troemel, S., Saavedra, P., Simmer, C., and Ryzhkov, A.: Radar Observation of Evaporation and Implications for Quantitative Precipitation and Cooling Rate Estimation, J. Atmos. Ocean. Technol., 33, 1779–1792,
https://doi.org/10.1175/JTECH-D-15-0244.1, 2016.
a
Yuter, S. E. and Houze, R. A.: Three-Dimensional Kinematic and Microphysical Evolution of Florida Cumulonimbus. Part III: Vertical Mass Transport, Mass Divergence, and Synthesis, Month. Weather Rev., 123, 1964–1983, 1995.
a,
b
Zhang, Z., Chan, J. C. L., and Ding, Y.: Characteristics, Evolution and Mechanisms of the Summer Monsoon Onset over Southeast Asia, Int. J. Climatol., 24, 1461–1482,
https://doi.org/10.1002/joc.1082, 2004.
a
Zhang, Z., Varble, A., Feng, Z., Hardin, J., and Zipser, E.: Growth of Mesoscale Convective Systems in Observations and a Seasonal Convection-Permitting Simulation over Argentina, Mon. Weather Rev., 149, 3469–3490, 2021. a
Zhou, T. and Yu, R.: Characteristics of the East Asian Summer Monsoon and Associated Moisture Transport, Chin. J. Atmos. Sci., 34, 1–18, 2010. a
