Article | Open

Impacts of a warming marginal sea on torrential rainfall organized under the Asian summer monsoon

  • Scientific Reports volume 4, Article number: 5741 (2014)
  • doi:10.1038/srep05741
  • Download Citation
Received:
Accepted:
Published online:

Abstract

Monsoonal airflow from the tropics triggers torrential rainfall over coastal regions of East Asia in summer, bringing flooding situations into areas of growing population and industries. However, impacts of rapid seasonal warming of the shallow East China Sea ECS and its pronounced future warming upon extreme summertime rainfall have not been explored. Here we show through cloudresolving atmospheric model simulations that observational tendency for torrential rainfall events over western Japan to occur most frequently in July cannot be reproduced without the rapid seasonal warming of ECS. The simulations also suggest that the future ECS warming will increase precipitation substantially in such an extreme event as observed in midJuly 2012 and also the likelihood of such an event occurring in June. A need is thus urged for reducing uncertainties in future temperature projections over ECS and other marginal seas for better projections of extreme summertime rainfall in the surrounding areas.

Introduction

Global climate model projections for the 5th Assessment Reports AR5 of the Intergovernmental Panel for Climate Change IPCC indicate that the global hydrological cycle will intensify in future under the global warming1, with increasing precipitation over wet climate regions at present, especially in the tropics and summertime subtropicalmidlatitude Asia2, a region of growing economy and population. In these regions summertime precipitation is produced mostly by mesoscale convective systems, which occasionally yield extremely heavy rainfall locally causing serious flooding andor landslides with casualties. Owing to their smallness, however, convective systems are not represented explicitly in any of the current IPCC global climate models. To assess future occurrence of convective precipitation extremes, one currently needs to rely on effective use of a cloudresolving regional model into which future changes in largescale atmospheric state projected by global climate models are somehow incorporated, for example, through the pseudoglobal warming PGW approach3,4,5,6.

Extreme rainfall events occur under convectivelyunstable stratification, which requires warm, moist air near the surface. Through the nonlinear ClausiusClapeyron relationship between saturated vapor pressure and temperature, amount of nearsurface moisture available for convective rainfall is highly sensitive to seasurface temperature SST over the warm ocean7. During the last century, ECS has undergone persistent warming that is greater than the averaged warming over the global ocean8, and the climate model projections suggest that the pronounced warming is likely to continue into future9. Resolutions of the current IPCC models are, however, insufficient for reproducing fine SST distributions along the warm western boundary currents and continental marginal seas, including the Kuroshio and ECS, respectively.

The IPCC climate models project a future increase in summertime precipitation over East Asia2, including Japan, where the Asian summer monsoon brings the wettest season in June and July Fig. 1. Heavy convective rainfall often occurs when nearsurface monsoonal southwesterlies carry moist air from the tropical oceans toward a quasistationary seasonal rain front called Baiu Meiyu front6,10, extending from subtropical China to Japan Fig. 1a. The moist airflow is most likely to affect the western portion of Kyushu, the westernmost main island of Japan facing ECS. Due to its bathymetric effect11, the shallow ECS is cooled off strongly by monsoonal northerlies in winter and then warms up into August. As part of this large seasonal march in SST, ECS exhibits 24C warming from June into July Fig. 1b Supplementary Fig. S1, to which the shallow bathymetry of ECS11 and warmwater advection by the Kuroshio12 contribute.

Figure 1: Climatologies of the BaiuMeiyu rain front and rain events in Kyushu Island.
Figure 1

a, July climatologies of monthly precipitation mm d1 color and verticallyintegrated moisture flux kg m1 s1 vectors. b, Monthly SST climatology C color for July, and climatological SST rising from June into July C black lines. c, Climatological bipentad precipitation mm over western Kyushu. The arrow indicates the climatological Baiu period. d, Seasonality in frequency of precipitation events that occurred in western Kyushu and its dependency on daily precipitation threshold for selecting rain events as given on the lower abscissa. Total accumulated numbers of the selected events based on the individual thresholds are given on the upper abscissa. Data sources for this figure are given in Supplementary Information S1. The Grid Analysis and Display System was used for creating the maps in a and b.

Although the vital importance of lowertropospheric water vapor transport for torrential rainfall events has been confirmed, impacts of SST on those events have not been quantified yet. Detailed analysis of daily precipitation observed at manned and automated AMeDAS weather stations over western Kyushu reveals that extreme rain events exceeding 250mm a day occur mostly in July Fig. 1d. When a larger number of modest precipitation events are included, however, the peak period is shifted into late June, the core period of the Baiu rainy season Fig. 1d, as in the rainfall climatology Fig. 1c. This is suggestive of the potential contribution from seasonal SST rise over ECS from late June to late July toward heavy rainfall over Kyushu.

In fact, the SSTprecipitation relationship is well recognized in the tropics. A recent study13 reports that a tendency for precipitation in the tropical Indian Ocean and Western Pacific to increase linearly at 2mm day1 with an increase of 1C in local SST holds up to extremely high SST 31C above an upper threshold 2829.5C that has been supposed to exist. This is an indication that the impact of SST on tropical precipitation is more important than what was previously thought. In midlatitudes, however, importance of SST for precipitation is still debatable, due partly to the weakness of precipitation signals that could be forced by relatively low SST.

An outstanding issue is thus whether the rapid seasonal SST rising in ECS can exert any significant influence on the occurrence of monsoonal heavy rainfall events over Kyushu at present and in future. This issue is addressed through a set of numerical simulations with a cloudresolving regional atmospheric model15, with primary focus on a torrential rainfall event that occurred on the 11th through 14th of July 2012 as a typical test case see Methods. In that event, a number of weather stations over Kyushu observed rainfall with hourly rate exceeding 25mm over many hours and 24hour totals exceeding 100mm, with records set at eight stations. Consequently, a severe flooding situation caused more than 20 casualties.

Results

The model performance is assessed in our control simulation CTRL, in which highresolution SST over ECS for midJuly 2012 was prescribed as the model lowerboundary condition. CTRL is found to reproduce the observed precipitation successfully Fig. 2, with respect to locations and magnitudes of its local maxima. A backwardtrajectory analysis reveals that air parcels transported into the areas of heavy precipitation over Kyushu traveled over southwestern ECS Supplementary Fig. S2. The lowlevel monsoonal southwesterlies, as observed typically south of the BaiuMeiyu rain front10 Fig. 1, carried those air parcels, to which the warm Kuroshio over ECS supplied moisture to maintain convectively unstable stratification14 Supplementary Fig. S2.

Figure 2: Maps of daily precipitation (mm) during the torrential rain event in mid-July 2012.
Figure 2

(a), Based on JMA radar observations. (b), In the control simulation (CTRL). The Grid Analysis and Display System was used for creating the maps in this figure.

The importance of the seasonal ECS warming is assessed through a seasonalmarch SMCH experiment, in which each of the climatologicalmean bipentad SST fields observed from June to August is prescribed on the model lower boundary while the largescale atmospheric condition was kept the same as in CTRL for the midJuly event. The experiment indicates an unambiguous tendency for precipitation over Kyushu to increase with SST over ECS, especially with SST for the midJuly and later periods Fig. 3, which is consistent with the most frequent occurrence of heavy rainfall events in late July Fig. 1. Another SMCH experiment that is conducted with the atmospheric condition observed in another event on June 19th, 2001 also exhibits qualitatively the same sensitivity of precipitation over Kyushu to SST over ECS Supplementary Information S2 and Fig. S5. Compared with CTRL, total precipitation simulated in SMCH for the July 2012 event would increase by 20 if it had occurred in late July S12Jul31, since the ECS warming renders the nearsurface stratification further unstable for convective precipitation systems to develop Supplementary Fig. S3. Unlike in these SMCH experiments, the rain gauge data indicate that heavy precipitation events occur much less frequently in August than in July Fig. 1d. This is because the BaiuMeiyu rain front and associated upperlevel westerly jetstream, which organize largescale ascent, move northward in weakening by August16.

Figure 3: Impacts of seasonal ECS warming on rainfall over Kyushu.
Figure 3

(a), Maps of 4-day precipitation (mm) obtained in the seasonal march simulations (SMCH), in each of which climatological bi-pentad OISST from June 1 to August 10, as indicated, is assigned while the atmospheric conditions are kept the same as in CTRL. (b), (bar) 4-day precipitation (mm; left axis) averaged over Kyushu [31.0°N–34.1°N, 129.5°E–131.8°E] in the SMCH runs, and (square) SST (°C; right axis) averaged over the southern ECS [27°N–31°N, 123°E–128°E] assigned. The Grid Analysis and Display System was used for creating the maps in this figure.

Potential influence of future ECS warming is assessed in what may be called future climate simulation FC. This is as an extension of the SMCH experiments but with areaaveraged future increments in air temperature and SST taken from the IPCC CMIP5 projections17, which have been added to the atmospheric state observed in the midJuly event and the climatological OISST data, respectively see Methods. The projected warming of ECS and the overlying atmosphere leads to significant increases in precipitation simulated over Kyushu Fig. 4. With the atmospheric and SST increments derived from their multimodel ensemble means MMEs, the fractional rainfall increase in July is 30 in the 2040s Jul40MME and 45 for the 2090s Jul90MME relative to the present climate simulation JulPC. For crudely evaluating uncertainties in the simulated precipitation increase introduced by those in the projected SST increment, the FC simulations were repeated by replacing the MMEs of projected increments of SST fields with the projected minimum min. or maximum max. increment of SST in ECS, and the vertical profiles of incremental air temperature obtained by the MMEs were also replaced with those obtained by the corresponding models. The differences in the simulated precipitation arising from these three types of increments are found to be rather small Fig. 4, confirming the robustness of the enhanced rainfall over Kyushu into future. The dominant contribution from the future SST increase over that from the atmospheric warming has been revealed in a comparison between two additional sets of the FC experiments, one with the SST increment only e.g., JulMME90S and the other with the atmospheric warming only e.g., JulMME90A. The atmospheric warming augments moisture availability for convective precipitation, but nearsurface stratification would be stabilized without the SST warming Supplementary Fig. S6. Although none of the lowlevel monsoonal southwesterlies, midtropospheric westerlies and vertically integrated water vapor flux over ECS into Kyushu significantly changes into future, enhanced surface evaporation due to higher SST renders nearsurface atmospheric stratification over ECS more convectively unstable Supplementary Figs. S6S9.

Figure 4: Impact of projected future ECS warming on rainfall over Kyushu.
Figure 4

4-day precipitation (mm) averaged over Kyushu [31.0°N–34.1°N, 129.5°E–131.8°E] obtained by the future climate simulations (FC). Each of them is labeled “MmmPPSSS(A)”, where “Mmm” refers to a month, “PP” to a decade of interest (i.e., “40” for the 2040s and “90” for the 2090s), “SSS” to kind of statistic (i.e., “min”, “max” and “MME” denoting minimum, maximum, and multi-model ensemble mean, respectively), and the suffix “(S)” and “(A)” to a subset of the simulations where only SST and the vertical profile of air temperature, respectively, is modified over ECS. These FC simulations are compared with the “present climate (PC)” runs that have been conducted with the climatological SST observed in June and July, referred to as “JunPC” and “JulPC”, respectively.

The same experiments are repeated but with SST projected for June Jun40 and Jun90. Though less sensitive to the SST increment than for July, rainfall over Kyushu simulated by a particular FC experiment with June SST to which the maximum increment among the CMIP5 models for the 2040s has been added Jun40max is comparable to that in CTRL. The potential is thus suggested that such a torrential rain event as observed in midJuly 2012 can occur over Kyushu as early as in June under the warmed future climate. Note that the SST sensitivity of the Kyushu rainfall shown in Fig. 4 does not necessarily seem consistent among the simulations, because in some cases a substantial fraction of the enhanced convective precipitation is simulated over ECS rather than over Kyushu.

Highlighting the distinct seasonal march of SST over ECS as one of the critical factors in controlling the seasonality of the occurrence of torrential rainfall events over Kyushu during the Baiu season, the present study has shown a possibility of the future ECS warming to enhance precipitation in a torrential rainfall event and thereby modulate the earlier occurrence of such an event. However, future changes in the atmospheric circulation can also exert some impacts on torrential rain events. The latest GCM projections indicate future intensification of the East Asian summer monsoon1, with augmented the northeastward moisture flux from the tropics into the BaiuMeiyu frontal zone. Furthermore, its projected southward shift6,18 will lead to the future delay in the termination of the Baiu period. These changes may become another factors for future increase in precipitation along the Baiu rainband. Though beyond the scope of the present study, the combined influence of the changes in the atmospheric circulation and the ECS warming on the future occurrence of torrential rainfall events should be investigated in future.

In summary, the present numerical study has revealed the distinct seasonal warming of ECS as an important factor in causing a particular torrential rain event in Kyushu that occurred in midJuly 2012, which is found to explain the particular seasonality of torrential rain events observed in Kyushu under the East Asian summer monsoon. Although the importance of both the moisture flux convergence and moisture availability over the adjacent oceans has been recognized for heavy rainfall events18, the role of SST has not been elucidated yet. Our study suggests that the pronounced future warming of ECS has the potential to increase rainfall significantly 3045 in such an event as observed in midJuly 2012 over Kyushu, enhancing the future risk of flooding and landslides in July and even in June. A recent cloudresolving model simulation projects substantial increases of total rainfall and heavy rainfall during the Baiu season6. We show that the rapid ECS warming into future can augment the likelihood of torrential rainfall events not only in July but also in June, suggesting the increasing risk of earlier occurrence of summertime flooding in future. Although our simulations target on the Kyushu Island of Japan, the results obtained here are relevant for other subtropicalmidlatitude coastal areas where convective rainfall can occur in summer with moist airflow from the surrounding oceans, including the continental marginal seas for East Asia, the Gulf of Mexico and the subtropical Atlantic for the United States19, and the Mediterranean for southern Europe20. Although the future precipitation increase in our regionalmodel simulations is robust qualitatively, the amount of the increase is rather sensitive to the SST increment projected in the CMIP5 models, which shows large quantitative uncertainties9. The present study urges the need for reducing uncertainties in the SST projection over the marginal seas and along the warm western boundary currents, for better future projection of summertime precipitation in the surrounding coastal regions and islands, especially where they are facing a steady rise of the sea surface, which is useful for planning out disaster prevention and water management over these regions into future.

Methods

Model setup

The simulations in the present study utilize the WRF model15 version 3.4.1, with 30 vertical levels up to the 50hPa level. To resolve individual convective cloud systems explicitly over Kyushu and the maritime domain to its immediate upstream, horizontal grid spacing is set as high as 3km within the model inner domain Supplementary Fig. S4. This domain is nested within the intermediate and outer domains, where horizontal grid spacing is 9 and 27km, respectively, and the KainFritsch convective parameterization scheme21 is adopted for implicitly representing convective rainfall. No such scheme was used for the inner domain. Each of the domains employs Yonsei University planetary boundary layer scheme22, MM5 similarity surface model15. the WRF singlemoment 3class microphysics scheme23. Other sophisticated microphysics schemes24,25 are also tested, but they rather tend to overestimate precipitation, similar to a recent sensitivity study25. Atmospheric data used for the initial condition and lateral boundary condition for the outer domain for each of our 120hour model integrations are based on the Global Forecast System GFS Final Analyses26 with horizontal resolution of 1 1. For each of the nested domains, oneway nesting is used and the lateral boundary conditions are supplied from the parent domain.

Control and seasonal march simulations

Highresolution 112 daily SST fields for midJuly 2012 produced by the Japan Coastal Ocean Predictability Experiment JCOPE reanalysis system27 are used for the model lowerboundary condition of the control simulations CTRL. The seasonalmarch simulations SMCH utilize the daily SST climatology for the period 19852004 with 14 resolution based on the OISST28, in which both satellite measurements and insitu observations are incorporated. The SMCH runs are designated as S12MonDD, where S refers to SMCH, Mon to month Jun, Jul or Aug, and DD to day e.g., 01. The simulations were initialized at 0000 UTC on 10 July 2012, approximately 36hours prior to the beginning of the rainfall event, so as to reduce the influence of the spinup. Almost the same results are obtained when the initial time is shifted by six hours earlier or later Supplementary Fig. S10. For each of the SMCH runs, all the initial meteorological parameters were kept the same as for CTRL, and the only change introduced was the SST data as mentioned above.

Future climate simulations

For assessing the impact of future ECS warming on precipitation, another set of simulations Future Climate or FC was conducted where largescale future changes in SST andor vertical airtemperature profiles projected in the CMIP5 Phase 5 of Coupled Model Intercomparison Project global climate models15 were incorporated into the highresolution climatological OISST SST and the atmospheric conditions observed during the rainfall event, respectively. This experimental design, which is similar to the PGW approach3,4,5,6, is advantageous, since horizontal resolutions of the CMIP5 climate models are lower than those of the OISST and GFS final analysis See Supplementary Information S3 for the details of the CMIP5 SST data. Although exactly the same synopticscale weather patterns as observed in 2012 would never occur in future, similar patterns should occur in the BaiuMeiyu season.

For a subset of the FC simulations, the projected thermodynamic changes due to increasing anthropogenic greenhouse gases under the RCP4.5 scenario17 were taken from 32 CMIP5 climate models. Specifically, monthly fields were averaged separately for June and July over the climate models in which temperature data were available at all the standard pressure levels. These monthly modelensemble fields were averaged within the inner domain of the WRF model before computing decadal means for the 1990s, 2040s and 2090s. The changes in the vertical temperature profile thus obtained from the 1990s into both the 2040s and 2090s were then added to the original GFS analyses uniformly within the entire model domain during the 5day period for the WRF model integration 11 through 15, July 2012. The horizontal averaging is necessary to prevent any largescale wind changes from being added into the initial condition for the FC through thermal wind balance. As in previous modeling studies29,30,31, the same relative humidity RH field as used for CTRL was assigned as the initial and boundary conditions for all the FC simulations, since studies of the global atmospheric moisture have found little longterm change in RH associated with the recent warming trend30,32,33. These procedures are to mimic thermodynamic conditions around the 2040s and 2090s under the global warming.

The PGW approach for projecting the future changes in precipitation has been tested by some hindcast experiment34 and becoming widely utilized3,4,35. The main advantage of this approach is a reduction of the model bias yielded in global climate model GCM projections. The large model biases in the GCM future projections may contaminate the results of the downscaling modeling results. The lateral boundary and initial conditions for the PGW approach consist of atmospheric reanalysis data under the presentday climate and the components of climatic changes projected by the GCMs. Although this GCMprojected component can yield some uncertainty into the simulated results based on the PGW approach, the usage of the reanalysis data can greatly reduce the overall uncertainty without introducing any biases of the GCMs in their reproduction of the current climatic conditions. Meanwhile, the main shortcoming of the PGW approach lies in its inability to include the influence of future modulations in the interannual variability and future changes in largescale disturbances, including the future changes in the position of the Baiu front, which must be assumed to be unchanged. Quantitative assessment of this uncertainty is beyond the scope of this study and should be performed in future study.

References

  1. 1.

    et al. Observations Atmosphere and Surface. Climate Change 2013 Physical. Science Basis 159254 Cambridge University Press, Cambridge, 2013.

  2. 2.

    et al. Climate Phenomena and their Relevance for Future Regional Climate Change. Climate Change 2013 Physical. Science Basis 159254 Cambridge University Press, Cambridge, 2013.

  3. 3.

    , , , Future change of precipitation extremes in Europe Intercomparison of scenarios from regional climate models. J. Geophys. Res. 111, D06105 2006.

  4. 4.

    , Projection of global warming onto regional precipitation over Mongolia using a regional climate model. J. Hydrol. 333, 144154 2007.

  5. 5.

    , , Estimation of the impact of global warming on snow depth in Japan by the pseudoglobalwarming method. Hydrol. Res. Lett. 64, 6164 2008.

  6. 6.

    , Projections of future changes in precipitation and the vertical structure of the frontal zone during the Baiu season in the vicinity of Japan using a 5kmmesh regional climate model. J. Meteorol. Soc. Japan 90A, 6586 2012.

  7. 7.

    Precise climate monitoring using complementary satellite data sets. Nature 403, 4146 2000.

  8. 8.

    et al. Enhanced warming over the global subtropical western boundary currents. Nat. Clim. Chang. 2, 161166 2012.

  9. 9.

    Twentyfirstcentury projections of North Atlantic tropical storms from CMIP5 models. Nat. Clim. Chang. 2, 604607 2012.

  10. 10.

    Multiscale features of Baiu, the summer monsoon over Japan and the East Asia. J. Meteorol. Soc. Japan 70, 467495 1992.

  11. 11.

    et al. Bathymetric effect on the winter sea surface temperature and climate of the Yellow and East China Seas. Geophys. Res. Lett. 29, 22282231 2002.

  12. 12.

    , , Ocean thermal advective effect on the annual range of sea surface temperature. Geophys. Res. Lett. 32, L24604 2005.

  13. 13.

    Sensitivity of precipitation to sea surface temperature over the tropical summer monsoon regionand its quantification. Clim. Dyn DOI10.1007s003820131881y 2013.

  14. 14.

    , , A striking earlysummer event of a convective rainband persistent along the warm Kuroshio in the East China Sea. Tellus A 64, 18962 2012.

  15. 15.

    , A description of the advanced research WRF version 3. NCAR Tech. Note NCARTN47, 113 2008.

  16. 16.

    Seasonal migration of the Baiu frontal zone over the East China Sea Sea surface temperature effect. SOLA 9, 1922 2013.

  17. 17.

    , An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485498 2012.

  18. 18.

    et al. Intermodel variability of future changes in the Baiu rainband estimated by the pseudo global warming downscaling method. J. Geophys. Res. 114, D24110 2009.

  19. 19.

    , , The changing character of precipitation. Bull. Am. Meteorol. Soc. 84, 12051217 2003.

  20. 20.

    , , Torrential rains on the Spanish Mediterranean coast Modeling the effects of the sea surface temperature. J. Appl. Meteorol. 40, 11801195 2001.

  21. 21.

    A onedimensional entrainingdetraining plume model and its application in convective parameterization. J. Atmos. Sci. 47, 27842802 1990.

  22. 22.

    , A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Weather Rev. 134, 23182341 2006.

  23. 23.

    , Bulk parameterization of the snow field in a cloud model. J. Clim. Appl. Meteorol 22, 10651092 1983.

  24. 24.

    , A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Weather Rev. 132, 103120 2004.

  25. 25.

    et al. Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India. Ann. Geophys. 28, 603619 2010.

  26. 26.

    et al. Introduction of the GSI into the NCEP Global Data Assimilation System. Weather Forecast. 24, 16911705 2009.

  27. 27.

    et al. Water mass variability in the western North Pacific detected in a 15year eddy resolving ocean reanalysis. J. Oceanogr. 65, 737756 2009.

  28. 28.

    , , , An improved in situ and satellite SST analysis for climate. J. Clim. 15, 16091625 2002.

  29. 29.

    Constraints on future changes in climate and the hydrologic cycle. Nature 419, 22432 2002.

  30. 30.

    Robust responses of the hydrological cycle to global warming. J. Clim. 19, 56865699 2006.

  31. 31.

    , Testing the ClausiusClapeyron constraint on changes in extreme precipitation under CO2 warming. Clim. Dyn. 28, 351363 2006.

  32. 32.

    Recent climatology, variability, and trends in global surface humidity. J. Clim. 19, 35893606 2006.

  33. 33.

    , , Recent changes in surface humidity Development of the HadCRUH dataset. J. Clim. 21, 53645383 2008.

  34. 34.

    et al. Downscaling of the climatic change in the Meiyu rainband in East Asia by a pseudo climate simulation method. SOLA 4, 7376 2008.

  35. 35.

    , , , Simulated reduction in Atlantic hurricane frequency under twentyfirstcentury warming conditions. Nat. Geosci. 1, 479479 2008.

Download references

Acknowledgements

We acknowledge the World Climate Research Programmes Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups listed in Supplementary Table S1 for producing and making available their model output. For CMIP the U.S. Department of Energys Program for Climate Model Diagnosis and Intercomparison provided coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. The CMIP5 data set we used is maintained by and handled at Data Integration and Analysis System Fund DIAS for National Key Technology and the Innovative Program of Climate Change Projection for the 21st Century Kakushin Program from the Japanese Ministry of Education, Culture, Sports, Science and Technology MEXT. This work is supported in part by MEXT through a GrantinAid for Scientific Research in Innovative Area 2205 and the Japan Society for the Promotion of Science GrantsinAid for Scientific Research 22244057. H.N., K.N. and T.M. are also supported by the Japanese Ministry of Environment through the Environment Research and Technology Development Fund A1201.

Author information

Affiliations

  1. Graduate School of Fisheries Science and Environmental Studies, Nagasaki University, Nagasaki, 8528521, Japan

    • Atsuyoshi Manda
  2. Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 1538904, Japan

    • Hisashi Nakamura
    • , Naruhiko Asano
    • , Kazuaki Nishii
    •  & Takafumi Miyasaka
  3. Monitoring and Forecast Research Department, National Research Institute for Earth Science and Disaster Prevention, Tsukuba, 3050006, Japan

    • Satoshi Iizuka
  4. Application Laboratory, Japan Agency for MarineEarth Science and Technology, Yokohama, 2360001, Japan

    • Hisashi Nakamura
    •  & Toru Miyama
  5. Department of Coupled OceanAtmosphereLand Processes Research, Japan Agency for MarineEarth Science and Technology, Yokosuka, 2370061, Japan

    • Qoosaku Moteki
  6. Center for Atmospheric and Oceanic Studies, Tohoku University, Sendai, 9808578, Japan

    • Mayumi K. Yoshioka

Authors

  1. Search for Atsuyoshi Manda in:

  2. Search for Hisashi Nakamura in:

  3. Search for Naruhiko Asano in:

  4. Search for Satoshi Iizuka in:

  5. Search for Toru Miyama in:

  6. Search for Qoosaku Moteki in:

  7. Search for Mayumi K. Yoshioka in:

  8. Search for Kazuaki Nishii in:

  9. Search for Takafumi Miyasaka in:

Contributions

All authors designed the numerical experiments and data analysis after conceived by H.N. A.M., T.M., S.I. and M.Y. conducted the numerical simulations. K.N. and T.M. preprocessed the CMIP5 data. N.A. analyzed raingauge data. A.M., H.N. and Q.M. wrote the initial draft of the paper, to which all authors contributed edits throughout.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Atsuyoshi Manda.

Supplementary information

PDF files

  1. 1.

    Supplementary Information

    Impacts of a warming marginal sea on torrential rainfall organized under the Asian summer monsoon

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Creative Commons BY-NC-SAThis work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/