The DOI matches its Crossref record; 55 of the 81 references it cites were found in a registry or an index.
The Changing Character of Precipitation
Open accessAbstract
From a societal, weather, and climate perspective, precipitation intensity, duration, frequency, and phase are as much of concern as total amounts, as these factors determine the disposition of precipitation once it hits the ground and how much runs off. At the extremes of precipitation incidence are the events that give rise to floods and droughts, whose changes in occurrence and severity have an enormous impact on the environment and society. Hence, advancing understanding and the ability to model and predict the character of precipitation is vital but requires new approaches to examining data and models. Various mechanisms, storms and so forth, exist to bring about precipitation. Because the rate of precipitation, conditional on when it falls, greatly exceeds the rate of replenishment of moisture by surface evaporation, most precipitation comes from moisture already in the atmosphere at the time the storm begins, and transport of moisture by the storm-scale circulation into the storm is vital. Hence, the intensity of precipitation depends on available moisture, especially for heavy events. As climate warms, the amount of moisture in the atmosphere, which is governed by the Clausius–Clapeyron equation, is expected to rise much faster than the total precipitation amount, which is governed by the surface heat budget through evaporation. This implies that the main changes to be experienced are in the character of precipitation: increases in intensity must be offset by decreases in duration or frequency of events. The timing, duration, and intensity of precipitation can be systematically explored via the diurnal cycle, whose correct simulation in models remains an unsolved challenge of vital importance in global climate change. Typical problems include the premature initiation of convection, and precipitation events that are too light and too frequent. These challenges in observations, modeling, and understanding precipitation changes are being taken up in the NCAR “Water Cycle Across Scales” initiative, which will exploit the diurnal cycle as a test bed for a hierarchy of models to promote improvements in models.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“If changes in dynamics and precipitation efficiency are negligible, precipitation extremes increase with warming because of increases in the saturation vapor pressure of water [4, 62, 85, 86]; this will be made more precise in the “Theory” section.”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [86]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Although cold-related deaths currently exceed heat-related deaths, heat-related deaths are expected to exceed cold-related deaths in a high-warming scenario.108,109”
From The 2024 report of the Lancet Countdown on health and climate change: facing record-breaking threats from delayed action (2024) · cites this paper as [109]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Climate change 2001 : the scientific basis
Houghton, J., Ding, Y., Griggs, D., Noguer, M., van der Linden, P. V. D., Dai, X., Maskell, K., & Johnson, C. (2001) · Foreign Affairs · doi:10.2307/20033020 · Cited by 14,162
Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation
Hurrell, J. W. (1995) · Science · doi:10.1126/science.269.5224.676 · Cited by 8,026
A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production
Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., & Francis, R. C. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078 · Cited by 7,180
Aerosols, Climate, and the Hydrological Cycle
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., & Rosenfeld, D. (2001) · Science · doi:10.1126/science.1064034 · Cited by 3,831
Decadal atmosphere-ocean variations in the Pacific
Trenberth, K. E., & Hurrell, J. W. (1994) · Climate Dynamics · doi:10.1007/bf00204745 · Cited by 2,311
Self-citationA satellite view of aerosols in the climate system
Kaufman, Y. J., Tanré, D., & Boucher, O. (2002) · Nature · doi:10.1038/nature01091 · Cited by 2,260
Climate Effects of Black Carbon Aerosols in China and India
Menon, S., Hansen, J. E., Nazarenko, L., & Luo, Y. (2002) · Science · doi:10.1126/science.1075159 · Cited by 2,145
Increasing risk of great floods in a changing climate
Milly, P. C. D., Wetherald, R. T., Dunne, K. A., & Delworth, T. L. (2002) · Nature · doi:10.1038/415514a · Cited by 1,760
Chin, M., Ginoux, P. A., Kinne, S., Torres, O., HOLBEN, B. N., Duncan, B. N., Martin, R. V., Logan, J. A., Higurashi, A., & Nakajima, T. (2002) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(2002)059 · Cited by 1,580
Suppression of Rain and Snow by Urban and Industrial Air Pollution
Rosenfeld, D. (2000) · Science · doi:10.1126/science.287.5459.1793 · Cited by 1,314
Research works printed but not linked: 1
- Burlutskiy, R. F., 2000: Diagnosis of the energy cycle of the Northern Hemisphere from the analysis of Hydrometcentre of Russia and ECMWF reanalysis. Proc. Second WCRP Int. Conf. on Reanalysis, WCRP- 109, WMO/TD-No. 985, Wokefield Park, United Kingdom, WCRP, 390-393.
Cited by
Sorted by citations
Items 901–1,000 of 1,003
Mapping storm spatial profiles for flood impact assessments
Peleg, N., Ban, N., Gibson, M. J., Chen, A., Paschalis, A., Burlando, P., & Leitão, J. P. (2022) · Advances in Water Resources · doi:10.1016/j.advwatres.2022.104258 · Cited by 44
“The first is based on the well-known Clausius–Clapeyron relation (Trenberth et al., 2003) that link extreme rainfall intensification (mostly convective in type) and increase in temperature (see recent publications by Moustakis et al., 2020; Ali et al., 2021; Fowler et al., 2021a, among many others).”
MethodChanges in Extreme Daily Rainfall Characteristics in South Africa: 1921 – 2020
Mcbride, C., Kruger, A. C., & Dyson, L. L. (2022) · Weather and Climate Extremes · doi:10.1016/j.wace.2022.100517 · Cited by 44
Projected changes in US rainfall erosivity
Biasutti, M., & Seager, R. (2015) · Hydrology and earth system sciences · doi:10.5194/hess-19-2945-2015 · Cited by 43
6-Hour to 1-Year Variance of Five Global Precipitation Sets
Ruane, A. C., & Roads, J. O. (2007) · Earth Interactions · doi:10.1175/ei225.1 · Cited by 44
A comparative study of the Indian summer monsoon hydroclimate and its variations in three reanalyses
Misra, V., Pantina, P., Chan, S. C., & DiNapoli, S. M. (2012) · Climate Dynamics · doi:10.1007/s00382-012-1319-y · Cited by 44
Atmospheric Water Vapor Transport Associated with Two Decadal Rainfall Shifts over East China
Li, X., Wen, Z., Zhou, W., & Wang, D. (2012) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj.2012-501 · Cited by 44
New climate change rainfall estimates for sustainable drainage
Dale, M., Luck, B., Fowler, H. J., Blenkinsop, S., Gill, E., Bennett, J., Kendon, E., & Chan, S. C. (2015) · Proceedings of the Institution of Civil Engineers - Engineering Sustainability · doi:10.1680/jensu.15.00030 · Cited by 44
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
Simple scaling of extreme precipitation in North America
Innocenti, S., Mailhot, A., & Frigon, A. (2017) · Hydrology and earth system sciences · doi:10.5194/hess-21-5823-2017 · Cited by 44
Łupikasza, E. B. (2017) · Climate Research · doi:10.3354/cr01467 · Cited by 45
Lin, P., Hopper, L. J., Yang, Z., Lenz, M., & Zeitler, J. W. (2018) · Journal of Hydrometeorology · doi:10.1175/jhm-d-18-0038.1 · Cited by 44
Evidence of links between regional climate change and precipitation extremes over India
Mishra, A. K., Nagaraju, V., Rafiq, M., & Chandra, S. (2018) · Weather · doi:10.1002/wea.3259 · Cited by 44
Attributing changes in future extreme droughts based on PDSI in China
Zhang, J., Sun, F., Lai, W., Lim, W. H., Liu, W., Wang, T., & Wang, P. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.03.060 · Cited by 44
Projected changes in extreme precipitation at sub-daily and daily time scales
Morrison, A., Villarini, G., Zhang, W., & Scoccimarro, E. (2019) · Global and Planetary Change · doi:10.1016/j.gloplacha.2019.103004 · Cited by 45
Li, M., Yao, J., Guan, J., & Zheng, J. (2020) · Atmospheric Research · doi:10.1016/j.atmosres.2020.105199 · Cited by 45
Pedotransfer functions for estimating soil hydraulic properties from saturation to dryness
Rudiyanto, R., Minasny, B., Chaney, N. W., Maggi, F., Giap, S. G. E., Shah, R. M., Fiantis, D., & Setiawan, B. I. (2021) · Geoderma · doi:10.1016/j.geoderma.2021.115194 · Cited by 44
Evaluation of Surface Relative Humidity in China from the CRA-40 and Current Reanalyses
Zhang, J., Zhao, T., Li, Z., Li, C., Li, Z., Ying, K., Shi, C., Jiang, L., & Zhang, W. (2021) · Advances in Atmospheric Sciences · doi:10.1007/s00376-021-0333-6 · Cited by 44
“Largely following the Clausius-Clapeyron equation (Trenberth et al., 2003, 2005), the observed RH changes are often small for most of China (Fig.”
BackgroundHeterogeneous response of global precipitation concentration to global warming
Dong, Q., Wang, W., Kunkel, K. E., Shao, Q., Xing, W., & Wei, J. (2020) · International Journal of Climatology · doi:10.1002/joc.6851 · Cited by 40
Climate Extremes are Becoming More Frequent, Co-occurring, and Persistent in Europe
Pradhan, P., Seydewitz, T., Zhou, B., Lüdeke, M. K. B., & Kropp, J. P. (2022) · Anthropocene Science · doi:10.1007/s44177-022-00022-4 · Cited by 44
“However, the increased heavy precipitation is at the expense of light and moderate rainfall events (Trenberth et al. 2003; Sun et al. 2007).”
BackgroundProjected Changes in Intense Precipitation over Europe at the Daily and Subdaily Time Scales*
Scoccimarro, E., Villarini, G., Vichi, M., Zampieri, M., Fogli, P. G., Bellucci, A., & Gualdi, S. (2015) · Journal of Climate · doi:10.1175/jcli-d-14-00779.1 · Cited by 42
Projected Changes to Streamflow Characteristics over Western Canada as Simulated by the Canadian RCM
Poitras, V., Sushama, L., Seglenieks, F. R., Khaliq, M. N., & Soulis, E. D. (2011) · Journal of Hydrometeorology · doi:10.1175/jhm-d-10-05002.1 · Cited by 43
Dourte, D. R., Fraisse, C. W., & Bartels, W. (2015) · Climate Risk Management · doi:10.1016/j.crm.2015.02.001 · Cited by 49
Huang, G., & Wen, G. (2013) · Chinese Science Bulletin · doi:10.1007/s11434-012-5593-1 · Cited by 44
Convective and stratiform precipitation trends in the Spanish Mediterranean coast
Ruiz-Leo, A. M., Hernández, E., Queralt, S., & Maqueda, G. (2011) · Atmospheric Research · doi:10.1016/j.atmosres.2011.07.019 · Cited by 43
Atmospheric rivers and the mass mortality of wild oysters: insight into an extreme future?
Cheng, B. S., Chang, A. L., Deck, A. K., & Ferner, M. C. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.1462 · Cited by 44
Borodina, A., Fischer, E. M., & Knutti, R. (2017) · Geophysical Research Letters · doi:10.1002/2017gl074530 · Cited by 46
The role of monsoon low‐level jet in modulating heavy rainfall events
Xavier, A., Kottayil, A., Mohanakumar, K., & Xavier, P. (2017) · International Journal of Climatology · doi:10.1002/joc.5390 · Cited by 43
Islam, S. U., Curry, C. L., Déry, S. J., & Zwiers, F. W. (2019) · Hydrology and earth system sciences · doi:10.5194/hess-23-811-2019 · Cited by 43
Guo, J., Yan, Y., Chen, D., Lv, Y., Han, Y., Guo, X., Liu, L., Miao, Y., Chen, T., Nie, J., et al. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05216-3 · Cited by 45
Undercatch Adjustments for Tipping-Bucket Gauge Measurements of Solid Precipitation
Kochendorfer, J., Earle, M. E., Hodyss, D., Reverdin, A., Roulet, Y., Nitu, R., Rasmussen, R., Landolt, S., Buisan, S. T., & Laine, T. (2020) · Journal of Hydrometeorology · doi:10.1175/jhm-d-19-0256.1 · Cited by 43
Self-citationThunderstorm Activity Under Intermediate and Extreme Climate Change Scenarios
Haberlie, A. M., Ashley, W. S., Battisto, C., & Gensini, V. A. (2022) · Geophysical Research Letters · doi:10.1029/2022gl098779 · Cited by 42
“The varying responses of 40, 50, and 60 dBZ grid days to climate change scenarios are in line with results from works that have examined realized and possible changes in the character of rainfall (Brown et al., 2019; Prein et al., 2017; Trenberth et al., 2003) and hail (Trapp et al., 2019).”
Increasing precipitation whiplash in climate change hotspots
Chen, D., Norris, J., Thackeray, C. W., & Hall, A. D. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/aca3b9 · Cited by 52
Global tropical cyclone precipitation scaling with sea surface temperature
Stansfield, A. M., & Reed, K. A. (2023) · npj Climate and Atmospheric Science · doi:10.1038/s41612-023-00391-6 · Cited by 48
“Because extreme precipitation typically occurs in saturated atmospheric environments, increases in extreme precipitation with temperature are expected to approximately follow this scaling as well 3,4 .”
BackgroundAssociation between trends in daily rainfall percentiles and the global mean temperature
Benestad, R. E. (2013) · Journal of Geophysical Research Atmospheres · doi:10.1002/jgrd.50814 · Cited by 42
Trends and variability in atmospheric precipitable water over the Tibetan Plateau for 2000-2010
Lu, N., Qin, J., Gao, Y., Yang, K., Trenberth, K. E., Gehne, M., & Zhu, Y. (2014) · International Journal of Climatology · doi:10.1002/joc.4064 · Cited by 42
Self-citationLi, X., & Ye, X. (2015) · Water · doi:10.3390/w7051943 · Cited by 42
Notaro, V., Liuzzo, L., Freni, G., & Loggia, G. L. (2015) · Water · doi:10.3390/w7126667 · Cited by 42
Rulfová, Z., Beranová, R., & Kyselý, J. (2016) · International Journal of Climatology · doi:10.1002/joc.4857 · Cited by 42
Ensemble evaluation and projection of climate extremes in China using RMIP models
Niu, X., Wang, S., Tang, J., Lee, D., Gutowski, W. J., Dairaku, K., McGregor, J. L., Katzfey, J., Gao, X., Jia, W., et al. (2017) · International Journal of Climatology · doi:10.1002/joc.5315 · Cited by 42
Impact of climate change on precipitation patterns in Houston, Texas, USA
Li, Z., Li, X., Wang, Y., & Quiring, S. M. (2019) · Anthropocene · doi:10.1016/j.ancene.2019.100193 · Cited by 42
Improving US extreme precipitation simulation: sensitivity to physics parameterizations
Sun, C., & Liang, X. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05267-6 · Cited by 42
Vázquez, M., Nieto, R., Liberato, M. L. R., & Gimeno, L. (2020) · Weather and Climate Extremes · doi:10.1016/j.wace.2020.100289 · Cited by 43
Patel, V., & Kuttippurath, J. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155885 · Cited by 42
Atmospheric Severe Convective Events in Russia: Changes Observed from Different Data
Chernokulsky, А. V., Eliseev, A. V., Kozlov, F., Korshunova, N. N., Kurgansky, M. V., Mokhov, I. I., Семенов, В. А., Shvets’, N. V., Shikhov, A. N., & Yarinich, Y. (2022) · Russian Meteorology and Hydrology · doi:10.3103/s106837392205003x · Cited by 43
Changing characteristics of precipitation for the contiguous United States
Wu, S. (2015) · Climatic Change · doi:10.1007/s10584-015-1453-8 · Cited by 42
Dai, L., Cheng, T. F., & Lu, M. (2022) · npj Climate and Atmospheric Science · doi:10.1038/s41612-022-00235-9 · Cited by 41
Verma, S., Bhatla, R., Shahi, N. K., & Mall, R. K. (2022) · Atmospheric Research · doi:10.1016/j.atmosres.2022.106201 · Cited by 41
Teiba, I. I., El-Bilawy, E. H., Elsheery, N. I., & Rastogi, A. (2023) · Horticulturae · doi:10.3390/horticulturae10010012 · Cited by 44
Liu, F., Zhang, H., Wang, Y., Yu, J., He, Y., & Wang, D. (2024) · Water Research · doi:10.1016/j.watres.2023.121099 · Cited by 41
Unravelling the origin of the atmospheric moisture deficit that leads to droughts
Gimeno‐Sotelo, L., Sorí, R., Nieto, R., Vicente-Serrano, S. M., & Gimeno, L. (2024) · Nature Water · doi:10.1038/s44221-023-00192-4 · Cited by 47
“The local humidity existing in an air column is mostly insufficient for generating precipitation 14 , and lower humidity levels available for precipitation (local and advected) generally imply a deficit in the moisture that reaches the site in question.”
Constraints on regional projections of mean and extreme precipitation under warming
Dai, P., Nie, J., Yu, Y., & Wu, R. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2312400121 · Cited by 44
Trends in Precipitable Water and Relative Humidity in China: 1979–2005
Xie, B., Zhang, Q., & Ying, Y. (2011) · Journal of Applied Meteorology and Climatology · doi:10.1175/2011jamc2446.1 · Cited by 41
Changes in precipitation extremes in Southeastern Tibet, China
Zhang, J., Shen, X., & Wang, B. (2015) · Quaternary International · doi:10.1016/j.quaint.2015.02.009 · Cited by 41
Understanding ecohydrological connectivity in savannas: a system dynamics modelling approach
Miller, G. R., Cable, J. M., McDonald, A. K., Bond, B. J., Franz, T. E., Wang, L., Gou, S., Tyler, A. P., Zou, C. B., & Scott, R. L. (2011) · Ecohydrology · doi:10.1002/eco.245 · Cited by 41
Lenderink, G., van den Hurk, B., Tank, A. K., van Oldenborgh, G. J., van Meijgaard, E., de Vries, H., & Beersma, J. J. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/11/115008 · Cited by 39
How intermittency affects the rate at which rainfall extremes respond to changes in temperature
Schleiss, M. (2018) · Earth System Dynamics · doi:10.5194/esd-9-955-2018 · Cited by 41
Impact of humidity biases on light precipitation occurrence: observations versus simulations
Bastin, S., Drobinski, P., Chiriaco, M., Bock, O., Roehrig, R., Gallardo, C., Conte, D., Domínguez, M., Li, L., Lionello, P., et al. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-1471-2019 · Cited by 41
Skeeter, W., Senkbeil, J. C., & Keellings, D. J. (2018) · International Journal of Climatology · doi:10.1002/joc.5841 · Cited by 40
Maranan, M., Fink, A. H., Knippertz, P., Francis, S. D., Akpo, A., Jegede, G., & Yorke, C. (2019) · Monthly Weather Review · doi:10.1175/mwr-d-18-0396.1 · Cited by 41
Yong, Z., Xiong, J., Wang, Z., Cheng, W., Yang, J., & Pang, Q. (2021) · Climatic Change · doi:10.1007/s10584-021-03076-2 · Cited by 41
Leonard, J. S., & Whipple, K. X. (2021) · Journal of Geophysical Research Earth Surface · doi:10.1029/2021jf006183 · Cited by 41
Global total precipitable water variations and trends over the period 1958–2021
Wan, N., Lin, X., Pielke, R. A., Zeng, X., & Nelson, A. M. (2024) · Hydrology and earth system sciences · doi:10.5194/hess-28-2123-2024 · Cited by 40
Analysis of uncertainty in large scale climate change projections over Europe
Prein, A. F., Gobiet, A., & Truhetz, H. (2011) · Meteorologische Zeitschrift · doi:10.1127/0941-2948/2011/0286 · Cited by 40
Can the CMIP5 models represent winter frontal precipitation?
Catto, J. L., Jakob, C., & Nicholls, N. (2015) · Geophysical Research Letters · doi:10.1002/2015gl066015 · Cited by 40
Historical Trends in Mean and Extreme Runoff and Streamflow Based on Observations and Climate Models
Asadieh, B., Krakauer, N. Y., & Fekete, B. M. (2016) · Water · doi:10.3390/w8050189 · Cited by 40
Zhao, W., Kinouchi, T., & Nguyễn, H. Q. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126461 · Cited by 42
Li, H., Wang, X., Choy, S., Wu, S., Jiang, C., Zhang, J., Qiu, C., Li, L., & Zhang, K. F. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3137014 · Cited by 40
Benestad, R. E., Lussana, C., Lutz, J., Dobler, A., Landgren, O., Haugen, J. E., Mezghani, A., Casati, B., & Parding, K. M. (2022) · PLOS Climate · doi:10.1371/journal.pclm.0000029 · Cited by 40
Precipitation event distribution in Central Argentina: spatial and temporal patterns
Magliano, P. N., Fernández, R. J., Mercau, J. L., & Jobbagy, E. G. (2014) · Ecohydrology · doi:10.1002/eco.1491 · Cited by 40
Monitoring and Prediction of the Earth’s Climate: A Future Perspective
Trenberth, K. E., Moore, B., Karl, T. R., & Nobre, C. A. (2006) · Journal of Climate · doi:10.1175/jcli3897.1 · Cited by 40
Self-citationMidwood, J. D., & Chow‐Fraser, P. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02558.x · Cited by 40
What is the economic cost of climate change?Preprint
Hanemann, W. M., & Hanemann, W. M. (2008) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.46999 · Cited by 40
A Global Perspective of Tropical Cyclone Precipitation in Reanalyses
Jones, E., Wing, A. A., & Parfitt, R. (2021) · Journal of Climate · doi:10.1175/jcli-d-20-0892.1 · Cited by 39
“Precipitation provides freshwater for agricultural use and drinking supplies for populations around the globe, but also can be destructive through devastating flooding (Trenberth et al. 2003).”
BackgroundWang, H., Sun, J., Fu, S., & Zhang, Y. (2021) · Advances in Atmospheric Sciences · doi:10.1007/s00376-021-1194-8 · Cited by 39
“In recent years, the duration of persistent heavy rainfall events (PHREs) in many regions has shown a notable increasing trend (Trenberth et al., 2003; Du et al., 2019).”
BackgroundEvaluation of convection-permitting extreme precipitation simulations for the south of France
Luu, L. N., Vautard, R., Yiou, P., & Soubeyroux, J. (2022) · Earth System Dynamics · doi:10.5194/esd-13-687-2022 · Cited by 39
Global precipitation system scale increased from 2001 to 2020
Zhang, Y., & Wang, K. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128768 · Cited by 44
Higgins, R. W., Kousky, V. E., Silva, V. B. S., Becker, E. J., & Xie, P. (2010) · Journal of Climate · doi:10.1175/2010jcli3638.1 · Cited by 39
Yu, R., Chen, H., & Sun, W. (2014) · Journal of Hydrometeorology · doi:10.1175/jhm-d-14-0086.1 · Cited by 39
Kanada, S., Nakano, M., & Kato, T. (2012) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj.2012-a03 · Cited by 39
Evaluation of summer precipitation from EURO‐CORDEX fine‐scale RCM simulations over Norway
Dyrrdal, A. V., Stordal, F., & Lussana, C. (2017) · International Journal of Climatology · doi:10.1002/joc.5287 · Cited by 39
Bishop, D. A., Williams, P., & Seager, R. (2019) · Geophysical Research Letters · doi:10.1029/2019gl083177 · Cited by 39
Future Hydroclimatic Impacts on Africa: Beyond the Paris Agreement
Piemontese, L., Fetzer, I., Rockström, J., & Jaramillo, F. (2019) · Earth s Future · doi:10.1029/2019ef001169 · Cited by 40
Xavier, A. C. F., Rudke, A. P., Fujita, T., Blain, G. C., de Morais, M. V. B., de Almeida, D. S., Rafee, S. A. A., Martins, L. D., Souza, R. A. F. D., de Freitas, E. D., et al. (2019) · International Journal of Climatology · doi:10.1002/joc.6265 · Cited by 39
Zhao, Y., Huang, A., Kan, M., Dong, X., Yu, X., Wu, Y., Zhang, X., & Cai, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-62535-5 · Cited by 39
Wang, W., Wang, L., Miao, Y., Cheng, C., & Chen, S. (2020) · Journal of Infrastructure Preservation and Resilience · doi:10.1186/s43065-020-00003-0 · Cited by 39
Li, R., Wang, K., & Qi, D. (2020) · Journal of Geophysical Research Atmospheres · doi:10.1029/2020jd033692 · Cited by 39
Colorado‐Ruiz, G., & Cavazos, T. (2021) · International Journal of Climatology · doi:10.1002/joc.7225 · Cited by 40
Ricker, M., Gutiérrez-García, G., & Daly, D. C. (2007) · Canadian Journal of Forest Research · doi:10.1139/x06-304 · Cited by 39
Changes in event number and duration of rain types over Mongolia from 1981 to 2014
Vandandorj, S., Munkhjargal, E., Boldgiv, B., & Gantsetseg, B. (2017) · Environmental Earth Sciences · doi:10.1007/s12665-016-6380-0 · Cited by 39
Kooperman, G. J., Pritchard, M. S., & Somerville, R. C. J. (2014) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2014ms000306 · Cited by 38
Zhao, W., Abhishek, A., Kinouchi, T., Ang, R., & Zhuang, Q. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155553 · Cited by 39
Towards Quantifying the Uncertainty in Estimating Observed Scaling Rates
Ali, H., Fowler, H. J., Pritchard, D. M. W., Lenderink, G., Blenkinsop, S., & Lewis, E. (2022) · Geophysical Research Letters · doi:10.1029/2022gl099138 · Cited by 38
Feng, T., Zhu, X., & Dong, W. (2023) · International Journal of Climatology · doi:10.1002/joc.8077 · Cited by 40
“Previous studies suggested that the relationship between extreme precipitation and temperature obeys the Clausius–Clapeyron equation (Trenberth et al., 2003), which leads to global average precipitation increasing with temperature at a rate of about 7% K−1.”
BackgroundCompound climate extremes over the globe during 1951–2021: Changes in risk and driving factors
Wu, H., Su, X., Singh, V. P., & Zhang, T. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.130387 · Cited by 38
Future property damage from flooding: sensitivities to economy and climate change
Liu, J., Hertel, T. W., Diffenbaugh, N. S., Delgado, M. S., & Ashfaq, M. (2015) · Climatic Change · doi:10.1007/s10584-015-1478-z · Cited by 43
Kharol, S. K., Kaskaoutis, D. G., Sharma, A. R., & Singh, R. P. (2013) · Advances in Meteorology · doi:10.1155/2013/572954 · Cited by 38
Temporal and spatial variability of the global water balance
McCabe, G. J., & Wolock, D. M. (2013) · Climatic Change · doi:10.1007/s10584-013-0798-0 · Cited by 38
Changes in extreme, cold‐season synoptic precipitation events under global warming
Gutowski, W. J., Willis, S. S., Patton, J. C., Schwedler, B. R. J., Arritt, R. W., & Takle, E. S. (2008) · Geophysical Research Letters · doi:10.1029/2008gl035516 · Cited by 38
Modeling atmospheric longwave radiation at the surface under cloudless skies
Viudez-Mora, A., Calbó, J., González, J., & Jiménez, M. A. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd011885 · Cited by 38
Lu, J., Ruby Leung, L., Yang, Q., Chen, G., Collins, W. D., Li, F., Jason Hou, Z., & Feng, X. (2014) · Geophysical Research Letters · doi:10.1002/2014gl059532 · Cited by 33
Metadata
- Authors
- Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B.
- Affiliations
- NSF National Center for Atmospheric Research (US)
- Corresponding author
- Trenberth, Kevin E.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2003-09-01
- Volume
- 84
- Issue
- 9
- Pages
- 1205-1218
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2138644576
- Cited by
- 3,196
- References
- 81
- Citations by year
- 2026: 195 · 2025: 230 · 2024: 244 · 2023: 257 · 2022: 262 · 2021: 234 · 2020: 208 · 2019: 213 · 2018: 141 · 2017: 151 · 2016: 149 · 2015: 125 · 2014: 99 · 2013: 126 · 2012: 107
- FWCI
- 32.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Bulletin of the American Meteorological Society (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
- Keywords
- precipitation intensity, precipitation duration, precipitation frequency, diurnal cycle, moisture transport, Clausius-Clapeyron scaling, climate change, heavy rainfall, convective initiation, climate model evaluation, droughts and floods
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review