Influence of microphysics on the scaling of precipitation extremes with temperature
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Simulations of radiative‐convective equilibrium with a cloud‐system resolving model are used to investigate the scaling of high percentiles of the precipitation distribution (precipitation extremes) over a wide range of surface temperatures. At surface temperatures above roughly 295 K, precipitation extremes increase with warming in proportion to the increase in surface moisture, following what is termed Clausius‐Clapeyron (CC) scaling. At lower temperatures, the rate of increase of precipitation extremes depends on the choice of cloud and precipitation microphysics scheme and the accumulation period, and it differs markedly from CC scaling in some cases. Precipitation extremes are found to be sensitive to the fall speeds of hydrometeors, and this partly explains the different scaling results obtained with different microphysics schemes. The results suggest that microphysics play an important role in determining the response of convective precipitation extremes to warming, particularly when ice‐ and mixed‐phase processes are important.
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For surface temperatures near those of the present-day tropics, the precipitation extremes increase at close to the thermodynamic rate, and this is close to Clausius-Clapeyron scaling with the surface specific humidity, with relatively small contributions from changes in vertical velocities and precipitation efficiency.
“For surface temperatures near those of the present-day tropics, the precipitation extremes increase at close to the thermodynamic rate, and this is close to Clausius-Clapeyron scaling with the surface specific humidity, with relatively small contributions from changes in vertical velocities and precipitation efficiency [56, 70, 77].”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredUpdrafts do become somewhat faster with warming when lapse rates are allowed to equilibrate rather than being imposed in simulations of RCE, although the dynamical contribution to changes in precipitation extremes is still relatively small.
“As discussed in the “Theory” section, updrafts do become somewhat faster with warming when lapse rates are allowed to equilibrate (rather than being imposed) in simulations of RCE, although the dynamical contribution to changes in precipitation extremes is still relatively small [56, 70, 77].”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
Section 4 reports that peak updraft velocity increases with warming in RCE simulations, while low-level velocity decreases and net-condensation extremes remain close to Clausius–Clapeyron scaling. It calls dynamical differences relatively small across microphysics schemes, but does not compare equilibrated with imposed lapse rates or establish that the overall dynamical contribution to precipitation-extreme changes is small. (LLM, conf=0.84)
Experimental — accuracy not yet measuredInstantaneous precipitation extremes increase at close to double the Clausius-Clapeyron rate for temperatures below 295 K.
“Instantaneous precipitation extremes increase at close to double the Clausius-Clapeyron rate for temperatures below 295 K”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
Section 3 reports that below 295 K, instantaneous precipitation extremes approach twice the Clausius–Clapeyron rate in simulations using the Lin-hail microphysics scheme. The claim omits that qualification: the paper says scaling at lower temperatures depends strongly on the microphysics scheme and reaches up to twice the rate for one scheme, not generally. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe increase in instantaneous precipitation extremes below 295 K is due to increases in precipitation efficiency with warming, related in part to increases in hydrometeor fall speed as more of the precipitation in the column changes from solid to liquid.
“and this has been shown to be due to increases in precipitation efficiency with warming, related in part to increases in hydrometeor fall speed as more of the precipitation in the column changes from solid to liquid [77].”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredFor temperatures below 295 K, the precipitation efficiency can change substantially with warming and the scaling of precipitation extremes then depends on the accumulation period considered.
“However, for temperatures below 295 K, the precipitation efficiency can change substantially with warming and the scaling of precipitation extremes then depends on the accumulation period considered [77], as discussed in the “Duration of Precipitation Extremes” section.”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
In simulations, changes in precipitation efficiency depend strongly on the choice of cloud microphysics scheme.
“but in the simulations, they depend strongly on the choice of cloud microphysics scheme”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
Large deviations from Clausius-Clapeyron scaling have been found in a study of RCE because of changes in precipitation efficiency at mean surface temperatures below 295 K.
“Nonetheless, large deviations from Clausius-Clapeyron scaling have been found in a study of RCE because of changes in precipitation efficiency at mean surface temperatures below 295 K [77].”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
Even when convective dynamics are resolved, precipitation extremes at short durations have been found to be sensitive to the parameterization of cloud and precipitation microphysics.
“Even when convective dynamics are resolved, precipitation extremes at short durations have been found to be sensitive to the parameterization of cloud and precipitation microphysics [77]”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [77]
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Cites
Microphysics of Clouds and Precipitation
Pruppacher, H. R., & Klett, J. D. (1978) · Springer eBooks · doi:10.1007/978-94-009-9905-3 · Cited by 4,032 · see citing works
A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models
Tiedtke, M. (1989) · Monthly Weather Review · doi:10.1175/1520-0493(1989)117 · Cited by 3,654 · see citing works
Thompson, G. J., Field, P. R., Rasmussen, R., & Hall, W. D. (2008) · Monthly Weather Review · doi:10.1175/2008mwr2387.1 · Cited by 3,177 · see citing works
Microphysics of Clouds and Precipitation
Pruppacher, H. R., Klett, J. D., & Wang, P. K. (1998) · Aerosol Science and Technology · doi:10.1080/02786829808965531 · Cited by 2,918 · see citing works
Global Increasing Trends in Annual Maximum Daily Precipitation
Westra, S., Alexander, L. V., & Zwiers, F. W. (2012) · Journal of Climate · doi:10.1175/jcli-d-12-00502.1 · Cited by 1,259 · see citing works
Morrison, H., Curry, J. A., & Khvorostyanov, V. I. (2005) · Journal of the Atmospheric Sciences · doi:10.1175/jas3446.1 · Cited by 1,206 · see citing works
O’Gorman, P. A., & Schneider, T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907610106 · Cited by 1,159 · see citing works
Self-citationKharin, V. V., Zwiers, F. W., Zhang, X., & Hegerl, G. C. (2007) · Journal of Climate · doi:10.1175/jcli4066.1 · Cited by 1,103 · see citing works
Increase in hourly precipitation extremes beyond expectations from temperature changes
Lenderink, G., & van Meijgaard, E. (2008) · Nature Geoscience · doi:10.1038/ngeo262 · Cited by 1,072 · see citing works
Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies
Matthews, E. (1983) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1983)022 · Cited by 926 · see citing works
Strong increase in convective precipitation in response to higher temperatures
Berg, P., Moseley, C., & Haerter, J. O. (2013) · Nature Geoscience · doi:10.1038/ngeo1731 · Cited by 818 · see citing works
Heavier summer downpours with climate change revealed by weather forecast resolution model
Kendon, E. J., Roberts, N. M., Fowler, H. J., Roberts, M. J., Chan, S. C., & Senior, C. A. (2014) · Nature Climate Change · doi:10.1038/nclimate2258 · Cited by 761 · see citing works
Goddard Cumulus Ensemble Model. Part I: Model Description
Tao, W., & Simpson, J. (1993) · Terrestrial Atmospheric and Oceanic Sciences · doi:10.3319/tao.1993.4.1.35(a · Cited by 702 · see citing works
Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics
Bryan, G. H., & Morrison, H. (2011) · Monthly Weather Review · doi:10.1175/mwr-d-11-00046.1 · Cited by 442 · see citing works
Hardwick Jones, R., Westra, S., & Sharma, A. (2010) · Geophysical Research Letters · doi:10.1029/2010gl045081 · Cited by 431 · see citing works
Braun, S. A., & Tao, W. (2000) · Monthly Weather Review · doi:10.1175/1520-0493(2000)129 · Cited by 405 · see citing works
Sensitivity of tropical precipitation extremes to climate change
O’Gorman, P. A. (2012) · Nature Geoscience · doi:10.1038/ngeo1568 · Cited by 349 · see citing works
Self-citationCurrent changes in tropical precipitation
Allan, R. P., Soden, B. J., John, V. O., Ingram, W., & Good, P. (2010) · Environmental Research Letters · doi:10.1088/1748-9326/5/2/025205 · Cited by 275 · see citing works
Lenderink, G., Mok, H. Y., Lee, T. C., & van Oldenborgh, G. J. (2011) · Hydrology and Earth System Sciences · doi:10.5194/hess-15-3033-2011 · Cited by 258 · see citing works
Intensification of Precipitation Extremes with Warming in a Cloud-Resolving Model
Muller, C. J., O’Gorman, P. A., & Back, L. E. (2011) · Journal of Climate · doi:10.1175/2011jcli3876.1 · Cited by 234 · see citing works
Self-citationComparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations
Morrison, H., & Milbrandt, J. (2011) · Monthly Weather Review · doi:10.1175/2010mwr3433.1 · Cited by 213 · see citing works
Singh, M. S., & O'Gorman, P. A. (2013) · Geophysical Research Letters · doi:10.1002/grl.50796 · Cited by 179 · see citing works
Self-citationWilcox, E. M., & Donner, L. J. (2007) · Journal of Climate · doi:10.1175/jcli3987.1 · Cited by 174 · see citing works
Response of Tropical Precipitation to Global Warming
Romps, D. M. (2011) · Journal of the Atmospheric Sciences · doi:10.1175/2010jas3542.1 · Cited by 166 · see citing works
Loriaux, J. M., Lenderink, G., de Roode, S. R., & Siebesma, A. P. (2013) · Journal of the Atmospheric Sciences · doi:10.1175/jas-d-12-0317.1 · Cited by 130 · see citing works
Impact of Convective Organization on the Response of Tropical Precipitation Extremes to Warming
Muller, C. J. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00655.1 · Cited by 77 · see citing works
A Theory for Buoyancy and Velocity Scales in Deep Moist Convection
Parodi, A., & Emanuel, K. (2009) · Journal of the Atmospheric Sciences · doi:10.1175/2009jas3103.1 · Cited by 64 · see citing works
Hou, A. Y. (1984) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1984)041 · Cited by 30 · see citing works
Improvements to a Commonly Used Cloud Microphysical Bulk Parameterization
Potter, B. E. (1991) · Journal of applied meteorology · doi:10.1175/1520-0450-30.7.1040 · Cited by 23 · see citing works
Signature of microphysics on spatial rainfall statistics
Parodi, A., Foufoula‐Georgiou, E., & Emanuel, K. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jd015124 · Cited by 19 · see citing works
Rajagopalan (2002) · doi:10.1175/1520-0493(2002)130
Flagged first, then by citations
1 of the 32 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Understanding the regional pattern of projected future changes in extreme precipitation
Pfahl, S., O’Gorman, P. A., & Fischer, E. M. (2017) · Nature Climate Change · doi:10.1038/nclimate3287 · Cited by 1,067 · see citing works
Self-citationAnthropogenic intensification of short-duration rainfall extremes
Fowler, H. J., Lenderink, G., Prein, A. F., Westra, S., Allan, R. P., Ban, N., Barbero, R., Berg, P., Blenkinsop, S., Do, H. X., et al. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-020-00128-6 · Cited by 989 · see citing works
Precipitation Extremes Under Climate Change
O’Gorman, P. A. (2015) · Current Climate Change Reports · doi:10.1007/s40641-015-0009-3 · Cited by 831 · see citing works
Self-citationAdvances in understanding large‐scale responses of the water cycle to climate change
Allan, R. P., Barlow, M. A., Byrne, M. P., Cherchi, A., Douville, H., Fowler, H. J., Gan, T. Y., Pendergrass, A. G., Rosenfeld, D., Swann, A. L. S., et al. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14337 · Cited by 693 · see citing works
Heavy precipitation in a changing climate: Does short‐term summer precipitation increase faster?
Ban, N., Schmidli, J., & Schär, C. (2015) · Geophysical Research Letters · doi:10.1002/2014gl062588 · Cited by 460 · see citing works
Increased record-breaking precipitation events under global warming
Lehmann, J., Coumou, D., & Frieler, K. (2015) · Climatic Change · doi:10.1007/s10584-015-1434-y · Cited by 440 · see citing works
Future increases in extreme precipitation exceed observed scaling rates
Bao, J., Sherwood, S. C., Alexander, L. V., & Evans, J. P. (2017) · Nature Climate Change · doi:10.1038/nclimate3201 · Cited by 389 · see citing works
Lenderink, G., Barbero, R., Loriaux, J. M., & Fowler, H. J. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0808.1 · Cited by 295 · see citing works
Complexity in estimating past and future extreme short-duration rainfall
Zhang, X., Zwiers, F. W., Li, G., Wan, H., & Cannon, A. J. (2017) · Nature Geoscience · doi:10.1038/ngeo2911 · Cited by 269 · see citing works
Radiative–convective equilibrium model intercomparison project
Wing, A. A., Reed, K. A., Satoh, M., Stevens, B., Bony, S., & Ohno, T. (2018) · Geoscientific model development · doi:10.5194/gmd-11-793-2018 · Cited by 205 · see citing works
Drobinski, P., Silva, N. A. D., Panthou, G., Bastin, S., Muller, C. J., Ahrens, B., Borga, M., Conte, D., Fosser, G., Giorgi, F., et al. (2016) · Climate Dynamics · doi:10.1007/s00382-016-3083-x · Cited by 172 · see citing works
Towards advancing scientific knowledge of climate change impacts on short-duration rainfall extremes
Fowler, H. J., Ali, H., Allan, R. P., Ban, N., Barbero, R., Berg, P., Blenkinsop, S., Cabi, N. S., Chan, S. C., Dale, M., et al. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0542 · Cited by 173 · see citing works
Self-citationObserved extreme precipitation trends and scaling in Central Europe
Zeder, J., & Fischer, E. M. (2020) · Weather and Climate Extremes · doi:10.1016/j.wace.2020.100266 · Cited by 160 · see citing works
Drobinski, P., Alonzo, B., Bastin, S., Silva, N. A. D., & Muller, C. J. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2015jd023497 · Cited by 139 · see citing works
Does the Hook Structure Constrain Future Flood Intensification Under Anthropogenic Climate Warming?
Yin, J., Guo, S., Gentine, P., Sullivan, S. C., Gu, L., He, S., Chen, J., & Liu, P. (2021) · Water Resources Research · doi:10.1029/2020wr028491 · Cited by 134 · see citing works
Norris, J., Chen, G., & Neelin, J. D. (2018) · Journal of Climate · doi:10.1175/jcli-d-18-0302.1 · Cited by 124 · see citing works
Overview of Observed Clausius-Clapeyron Scaling of Extreme Precipitation in Midlatitudes
Martínková, M., & Kyselý, J. (2020) · Atmosphere · doi:10.3390/atmos11080786 · Cited by 117 · see citing works
Gao, Y., Lu, J., & Leung, L.-Y. R. (2016) · Journal of Climate · doi:10.1175/jcli-d-16-0088.1 · Cited by 108 · see citing works
Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
Cronin, T. W., & Wing, A. A. (2017) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2017ms001111 · Cited by 93 · see citing works
Meteorological aspects of heavy precipitation in relation to floods – An overview
Breugem, A., Wesseling, J. G., Oostindie, K., & Ritsema, C. J. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103171 · Cited by 95 · see citing works
Intensification of convective extremes driven by cloud–cloud interaction
Moseley, C., Hohenegger, C., Berg, P., & Haerter, J. O. (2016) · Nature Geoscience · doi:10.1038/ngeo2789 · Cited by 88 · see citing works
Drought Onset and Termination in India
Shah, D., & Mishra, V. K. (2020) · Journal of Geophysical Research Atmospheres · doi:10.1029/2020jd032871 · Cited by 82 · see citing works
Increases in moist‐convective updraught velocities with warming in radiative‐convective equilibrium
Singh, M. S., & O'Gorman, P. A. (2015) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2567 · Cited by 81 · see citing works
Self-citationIncreasing potential for intense tropical and subtropical thunderstorms under global warming
Singh, M. S., Kuang, Z., Maloney, E. D., Hannah, W. M., & Wolding, B. O. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707603114 · Cited by 79 · see citing works
Self-citationA short review of numerical cloud-resolving models
Guichard, F., & Couvreux, F. (2017) · Tellus A Dynamic Meteorology and Oceanography · doi:10.1080/16000870.2017.1373578 · Cited by 83 · see citing works
Cannon, A. J., & Innocenti, S. (2019) · Natural hazards and earth system sciences · doi:10.5194/nhess-19-421-2019 · Cited by 74 · see citing works
Muller, C. J., & Takayabu, Y. N. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab7130 · Cited by 72 · see citing works
Lenderink, G., de Vries, H., Fowler, H. J., Barbero, R., van Ulft, B., & van Meijgaard, E. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0544 · Cited by 63 · see citing works
Ganguli, P., & Coulibaly, P. (2019) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2018.12.007 · Cited by 58 · see citing works
Precipitable water and CAPE dependence of rainfall intensities in China
Dong, W., Lin, Y., Wright, J. S., Xie, Y., Yin, X., & Guo, J. (2018) · Climate Dynamics · doi:10.1007/s00382-018-4327-8 · Cited by 57 · see citing works
Busuioc, A., Birsan, M., Carbunaru, D. V., Baciu, M., & Orzan, A. (2015) · International Journal of Climatology · doi:10.1002/joc.4477 · Cited by 54 · see citing works
Reed, K. A., & Chavas, D. R. (2015) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2015ms000519 · Cited by 54 · see citing works
Shifts in Precipitation Accumulation Extremes During the Warm Season Over the United States
Martinez‐Villalobos, C., & Neelin, J. D. (2018) · Geophysical Research Letters · doi:10.1029/2018gl078465 · Cited by 52 · see citing works
Empirical values and assumptions in the microphysics of numerical models
Tapiador, F., Sánchez, J., & García-Ortega, E. (2018) · Atmospheric research · doi:10.1016/j.atmosres.2018.09.010 · Cited by 42 · see citing works
Response of Extreme Precipitating Cell Structures to Atmospheric Warming
Lochbihler, K., Lenderink, G., & Siebesma, A. P. (2019) · Journal of Geophysical Research Atmospheres · doi:10.1029/2018jd029954 · Cited by 50 · see citing works
Bao, J., Sherwood, S. C., Colin, M., & Dixit, V. V. (2017) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2017ms001125 · Cited by 49 · see citing works
Wang, H., Sun, F., & Liu, W. (2018) · Journal of Climate · doi:10.1175/jcli-d-18-0050.1 · Cited by 49 · see citing works
Estimating the Response of Extreme Precipitation over Midlatitude Mountains to Global Warming
Shi, X., & Durran, D. R. (2015) · Journal of Climate · doi:10.1175/jcli-d-14-00750.1 · Cited by 47 · see citing works
The local dependency of precipitation on historical changes in temperature
Wasko, C., & Nathan, R. J. (2019) · Climatic Change · doi:10.1007/s10584-019-02523-5 · Cited by 47 · see citing works
Pendergrass, A. G. (2020) · Current Climate Change Reports · doi:10.1007/s40641-020-00157-9 · Cited by 46 · see citing works
Changing duration and spatial extent of midlatitude precipitation extremes across different climates
Dwyer, J. G., & O’Gorman, P. A. (2017) · Geophysical Research Letters · doi:10.1002/2017gl072855 · Cited by 45 · see citing works
Self-citationHuang, Z., Tan, X., Gan, T. Y., Liu, B., & Chen, X. N. (2023) · Nature Water · doi:10.1038/s44221-023-00107-3 · Cited by 44 · see citing works
Large-Scale Controls on Extreme Precipitation
Loriaux, J. M., Lenderink, G., & Siebesma, A. P. (2016) · Journal of Climate · doi:10.1175/jcli-d-16-0381.1 · Cited by 43 · see citing works
Convective Precipitation Efficiency Observed in the Tropics
Narsey, S., Jakob, C., Singh, M. S., Bergemann, M., Louf, V., Protat, A., & Williams, C. R. (2019) · Geophysical Research Letters · doi:10.1029/2019gl085031 · Cited by 44 · see citing works
Self-citationThe climate system and the second law of thermodynamics
Singh, M. S., & O’Neill, M. E. (2022) · Reviews of Modern Physics · doi:10.1103/revmodphys.94.015001 · Cited by 45 · see citing works
Self-citationLepore, C., Allen, J. T., & Tippett, M. K. (2016) · Journal of Climate · doi:10.1175/jcli-d-15-0331.1 · Cited by 42 · see citing works
Precipitation efficiency constraint on climate change
Li, R. L., Studholme, J., Fedorov, A. V., & Storelvmo, T. (2022) · Nature Climate Change · doi:10.1038/s41558-022-01400-x · Cited by 48 · see citing works
The Role of Convective Self‐Aggregation in Extreme Instantaneous Versus Daily Precipitation
Bao, J., & Sherwood, S. C. (2018) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001503 · Cited by 40 · see citing works
Changes in hourly extreme precipitation in Victoria, Australia, from the observational record
Osburn, L., Hope, P. K., & Dowdy, A. J. (2020) · Weather and Climate Extremes · doi:10.1016/j.wace.2020.100294 · Cited by 32 · see citing works
Informing Future Risks of Record‐Level Rainfall in the United States
Sanderson, B. M., Wobus, C. W., Mills, D., Zarakas, C. M., Crimmins, A. R., Sarofim, M. C., & Weaver, C. (2019) · Geophysical Research Letters · doi:10.1029/2019gl082362 · Cited by 31 · see citing works
Causes for the Negative Scaling of Extreme Precipitation at High Temperatures
Sun, X., & Wang, G. (2022) · Journal of Climate · doi:10.1175/jcli-d-22-0142.1 · Cited by 29 · see citing works
Sharma, A., Hettiarachchi, S., & Wasko, C. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0623 · Cited by 30 · see citing works
Convection and Climate: What Have We Learned from Simple Models and Simplified Settings?
Hartmann, D. L., Blossey, P. N., & Dygert, B. D. (2019) · Current Climate Change Reports · doi:10.1007/s40641-019-00136-9 · Cited by 26 · see citing works
Dynamic Amplification of Subtropical Extreme Precipitation in a Warming Climate
Norris, J., Chen, G., & Li, C. (2020) · Geophysical Research Letters · doi:10.1029/2020gl087200 · Cited by 25 · see citing works
Sandvik, M. I., Sorteberg, A., & Rasmussen, R. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3593-1 · Cited by 24 · see citing works
Low-pressure systems and extreme precipitation in central India: sensitivity to temperature changes
Sørland, S. L., & Sorteberg, A. (2015) · Climate Dynamics · doi:10.1007/s00382-015-2850-4 · Cited by 24 · see citing works
Roca, R. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab35c6 · Cited by 25 · see citing works
O’Gorman, P. A., Li, Z., Boos, W. R., & Yuval, J. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0543 · Cited by 22 · see citing works
Self-citationBusuioc, A., Baciu, M., Breza, T., Dumitrescu, A., Stoica, C., & Baghina, N. (2017) · Climate Research · doi:10.3354/cr01469 · Cited by 21 · see citing works
Physical processes driving intensification of future precipitation in the mid- to high latitudes
Poujol, B., Mooney, P., & Sobolowski, S. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abdd5b · Cited by 20 · see citing works
Extreme Landfalling Atmospheric River Events in Arizona: Possible Future Changes
Singh, I., Domínguez, F., Demaria, E. M. C., & Walter, J. C. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1029/2017jd027866 · Cited by 20 · see citing works
Simulating Canadian Arctic Climate at Convection-Permitting Resolution
Diro, G. T., & Sushama, L. (2019) · Atmosphere · doi:10.3390/atmos10080430 · Cited by 20 · see citing works
Aerosol indirect effects on the temperature–precipitation scaling
Silva, N. A. D., Mailler, S., & Drobinski, P. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-6207-2020 · Cited by 19 · see citing works
An Idealized Physical Model for the Severe Convective Storm Environmental Sounding
Chavas, D. R., & Dawson, D. T. (2020) · Journal of the Atmospheric Sciences · doi:10.1175/jas-d-20-0120.1 · Cited by 19 · see citing works
Abbott, T. H., Cronin, T. W., & Beucler, T. (2020) · Journal of the Atmospheric Sciences · doi:10.1175/jas-d-19-0197.1 · Cited by 19 · see citing works
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Fildier, B., Parishani, H., & Collins, W. D. (2018) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001462 · Cited by 17 · see citing works
Luca, A. D., Argüeso, D., Sherwood, S. C., & Evans, J. P. (2021) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002447 · Cited by 15 · see citing works
Scaling of the entropy budget with surface temperature in radiative‐convective equilibrium
Singh, M. S., & O’Gorman, P. A. (2016) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2016ms000673 · Cited by 15 · see citing works
Self-citationDistortions of the Rain Distribution With Warming, With and Without Self‐Aggregation
Fildier, B., Collins, W. D., & Muller, C. J. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002256 · Cited by 15 · see citing works
Impact of Microphysics on Tropical Precipitation Extremes in a Global Storm‐Resolving Model
Bao, J., & Windmiller, J. M. (2021) · Geophysical Research Letters · doi:10.1029/2021gl094206 · Cited by 14 · see citing works
Nazarian, R. H., Vizzard, J. V., Agostino, C. P., & Lutsko, N. J. (2022) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-22-0008.1 · Cited by 14 · see citing works
Wang, G., & Sun, X. (2022) · Geophysical Research Letters · doi:10.1029/2022gl097881 · Cited by 12 · see citing works
Zhou, X. S., & Khairoutdinov, M. F. (2017) · Journal of Climate · doi:10.1175/jcli-d-17-0214.1 · Cited by 11 · see citing works
Impact of resolution on large-eddy simulation of midlatitude summertime convection
Moseley, C., Pscheidt, I., Cioni, G., & Heinze, R. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-2891-2020 · Cited by 13 · see citing works
Abbott, T. H., Cronin, T. W., & Beucler, T. (2019) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 11 · see citing works
Huang, D., Zhu, J., Xiao, X., Cheng, J., Ding, Y., & Qian, Y. (2021) · Environmental Research Communications · doi:10.1088/2515-7620/ac17e1 · Cited by 10 · see citing works
Mishra, V. K., Tiwari, A. D., & Kumar, R. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac8c5c · Cited by 7 · see citing works
Extreme Precipitation in Tropical Squall Lines
Abramian, S., Muller, C. J., & Risi, C. (2023) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2022ms003477 · Cited by 7 · see citing works
Zhao, F., Shi, W., Wu, Y., Lian, Y., & Li, Q. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02025-6 · Cited by 8 · see citing works
Robust assessment of precipitation-temperature apparent scaling under global climate change
Xie, Z., Fu, Y., He, H. S., Wang, S., Wang, L., & Liu, C. (2025) · Journal of Hydrology · doi:10.1016/j.jhydrol.2025.132957 · Cited by 6 · see citing works
Zhao, X., Li, Y., Li, Z., & Huo, F. (2024) · Weather and Climate Extremes · doi:10.1016/j.wace.2024.100721 · Cited by 6 · see citing works
Precipitation Efficiency and Climate Sensitivity
Lutsko, N. J., Sherwood, S. C., & Zhao, M. (2023) · Geophysical monograph · doi:10.1002/9781119700357.ch13 · Cited by 6 · see citing works
Projected Changes in Mean and Extreme Precipitation over Northern Mexico
Nazarian, R. H., Brizuela, N. G., Matijevic, B. J., Vizzard, J. V., Agostino, C. P., & Lutsko, N. J. (2024) · Journal of Climate · doi:10.1175/jcli-d-23-0390.1 · Cited by 5 · see citing works
Nikumbh, A. C., Lin, P., Paynter, D. J., & Ming, Y. (2024) · Geophysical Research Letters · doi:10.1029/2023gl106708 · Cited by 6 · see citing works
Hu, H., Leung, L.-Y. R., Sun, X., & Wang, G. (2025) · Geophysical Research Letters · doi:10.1029/2024gl111104 · Cited by 5 · see citing works
Evaluating Large-Scale Variability and Change in Tropical Rainfall and Its Extremes
Allan, R. P., & Liu, C. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809248-4.00005-4 · Cited by 5 · see citing works
Precipitation Extremes and Their Modulation by Convective Organization in RCEMIP
O’Donnell, G. L., & Wing, A. A. (2024) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2024ms004535 · Cited by 4 · see citing works
Moist convective scaling: Insights from an idealised model
Agasthya, L. N., Muller, C. J., & Cheve, M. (2024) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.4902 · Cited by 4 · see citing works
Charn, A. B., Collins, W. D., Parishani, H., Risser, M. D., & O'Brien, T. A. (2020) · Earth and Space Science · doi:10.1029/2019ea000731 · Cited by 5 · see citing works
Ma, C., Yuan, W., & Ji, N. (2020) · Advances in Atmospheric Sciences · doi:10.1007/s00376-020-9236-1 · Cited by 4 · see citing works
Wang, S., & Qiao, X. (2020) · Atmospheric Science Letters · doi:10.1002/asl.974 · Cited by 4 · see citing works
Wang, S., Qiao, X., & Min, J. (2020) · Advances in Meteorology · doi:10.1155/2020/4234361 · Cited by 4 · see citing works
Anthropogenic amplification of the dynamics of large-scale contiguous extreme precipitation events
Wang, D., Tan, X., Wu, X., & Ling, Z. (2026) · Communications Earth & Environment · doi:10.1038/s43247-026-03641-6 · Cited by 3 · see citing works
Qin, H., Alvee, F. M., Leung, L.-Y. R., Sun, X., & Wang, G. (2025) · Journal of Climate · doi:10.1175/jcli-d-24-0589.1 · Cited by 2 · see citing works
Extreme precipitation scaling under synoptic air mass regimes
Obarein, O. A., & Lee, C. C. (2025) · Atmospheric Research · doi:10.1016/j.atmosres.2025.108647 · Cited by 2 · see citing works
Cloud Microphysical Parameters Observed in Convective Clouds
Prabhakaran, T. V., Patade, S., Kulkarni, G., Samanta, S., Malap, N., & Murugavel, P. (2025) · Springer eBooks · doi:10.1007/978-981-97-7075-5_6 · Cited by 1 · see citing works
Carenso, M., Fildier, B., Roca, R., & Fiolleau, T. (2025) · Journal of Geophysical Research Atmospheres · doi:10.1029/2024jd042656 · Cited by 1 · see citing works
Wang, L., Bao, X., Chen, G., & Zhang, S. (2025) · Geophysical Research Letters · doi:10.1029/2024gl112680 · Cited by 1 · see citing works
On the Extreme Precipitation Events With and Without Lightning Over Eastern and Southern China
Ren, Y., Xu, W., Fu, J., & Wei, H. (2025) · Journal of Geophysical Research Atmospheres · doi:10.1029/2025jd043509 · Cited by 1 · see citing works
Impacts of Cloud Microphysics on Extreme Precipitation and Lightning
Charn, A. B. (2020) · eScholarship (California Digital Library)
- Authors
- Singh, M. S., & O'Gorman, P. A.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Singh, Martin S.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2014-08-22
- Volume
- 41
- Issue
- 16
- Pages
- 6037-6044
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2137928718
- Cited by
- 111
- References
- 32
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 6 · 2023: 6 · 2022: 8 · 2021: 10 · 2020: 19 · 2019: 10 · 2018: 12 · 2017: 12 · 2016: 7 · 2015: 8
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Geophysical Research Letters (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- NSF (AGS-1148594)
- NASA ROSES (09-IDS09-0049)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Keywords
- heavy rainfall, Clausius-Clapeyron scaling, cloud microphysics, radiative-convective equilibrium, convective precipitation, surface warming, ice-phase processes, surface moisture, climate sensitivity
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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