Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-1795-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1795-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jun 2022
Research article |
| 02 Jun 2022
| 02 Jun 2022
Idealized simulations of Mei-yu rainfall in Taiwan under uniform southwesterly flow using a cloud-resolving model
Chung-Chieh Wang
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Pi-Yu Chuang
CORRESPONDING AUTHOR
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Shi-Ting Chen
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Dong-In Lee
Department of Environmental Atmospheric Sciences, Pukyong National University, Busan, South Korea
Kazuhisa Tsuboki
Institute for Space–Earth Environmental Research, Nagoya University, Nagoya, Japan
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This study indicated that the Cloud-Resolving Storm Simulator (CReSS) model significantly improved heavy-rainfall quantitative precipitation forecasts in the Taiwan Mei-yu season. At high resolution, the model has higher threat scores and is more skillful in predicting larger rainfall events compared to smaller ones. And the strength of the model mainly lies in the topographic rainfall rather than less predictable and migratory events due to nonlinearity.
Cited articles
Akaeda, K., Reisner, J., and Parsons, D.:
The role of mesoscale and topographically induced circulations in initiating a flash flood observed during the TAMEX project, Mon. Weather Rev., 123, 1720–1739, https://doi.org/10.1175/1520-0493(1995)123%3C1720:TROMAT%3E2.0.CO;2, 1995.
Baines, P. G.:
Topographic Effects in Stratified Flows, 1st edn., Cambridge University Press, Cambridge, England, UK, 1995.
Banta, R. M.:
The Role of Mountain Flows in Making Clouds, in: Atmospheric Processes over Complex Terrain, edited by: Blumen, W., Meteorological Monographs, 23, Am. Meteorol. Soc., Boston, Massachusetts, US, 229–284, https://doi.org/10.1007/978-1-935704-25-6_9, 1990.
Bell, G. D. and Bosart, L. F.:
Appalachian cold-air damming, Mon. Weather Rev., 116, 137–161, https://doi.org/10.1175/1520-0493(1988)116%3C0137:ACAD%3E2.0.CO;2, 1988.
Chen, G. T.-J.:
Observational aspects of the Mei-Yu phenomenon in subtropical China, J. Meteorol. Soc. Jpn., 61, 306–312, https://doi.org/10.2151/jmsj1965.61.2_306, 1983.
Chen, G. T.-J.:
Mesoscale features observed in the Taiwan Mei-Yu season, J. Meteorol. Soc. Jpn., 70, 497–516, https://doi.org/10.2151/jmsj1965.70.1B_497, 1992.
Chen, G. T.-J.:
Research on the phenomena of Meiyu during the past quarter century: An overview, in: East Asian Monsoon, edited by: Chang, C.-P., World Scientific, Toh Tuck Link, Singapore, 357–403, https://doi.org/10.1142/9789812701411_0010, 2004.
Chen, G. T.-J., Wang, C.-C., and Liu, S. C.-S.:
Potential vorticity diagnostics of a Mei-Yu front case, Mon. Weather Rev., 131, 2680–2696, 2003.
Chen, G. T.-J., Wang, C.-C., and Lin, D. T.-W.:
Characteristics of low-level jets over northern Taiwan in mei-yu season and their relationship to heavy rain events, Mon. Weather Rev., 133, 20–43, https://doi.org/10.1175/MWR-2813.1, 2005.
Chen, G. T.-J., Wang, C.-C., and Chang, S.-W.:
A diagnostic case study of Mei-yu frontogenesis and development of wavelike frontal disturbances in the subtropical environment, Mon. Weather Rev., 136, 41–61, https://doi.org/10.1175/2007MWR1966.1, 2008.
Chen, S., Hong, Y., Cao, Q., Kirstetter, P.-E., Gourley, J. J., Qi, Y., Zhang, J., Howard, K., Hu, J., and Wang, J.:
Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan: Are remote-sensing products ready for gauge denial scenario of extreme events?, J. Hydrol., 506, 4–13, 2013.
Chen, S.-H. and Lin, Y.-L.:
Orographic effects on a conditionally unstable flow over an idealized three-dimensional mesoscale mountain, Meteorol. Atmos. Phys., 88, 1–21, https://doi.org/10.1007/s00703-003-0047-6, 2005a.
Chen, S.-H. and Lin, Y.-L.:
Effects of moist Froude number and CAPE on a conditionally unstable flow over a mesoscale mountain ridge, J. Atmos. Sci., 62, 331–350, https://doi.org/10.1175/JAS-3380.1, 2005b.
Chen, T.-C., Yen, M.-C., Hsieh, J.-C., and Arritt, R. W.:
Diurnal and seasonal variations of the rainfall measured by the Automatic Rainfall and Meteorological Telemetry System in Taiwan, B. Am. Meteorol. Soc., 80, 2299–2312, https://doi.org/10.1175/1520-0477(1999)080%3C2299:DASVOT%3E2.0.CO;2, 1999.
Chen, X. A. and Chen, Y.-L.:
Development of low-level jets during TAMEX, Mon. Weather Rev., 123, 1695–1719, https://doi.org/10.1175/1520-0493(1995)123%3C1695:DOLLJD%3E2.0.CO;2, 1995.
Chen, Y.-L.:
Some synoptic-scale aspects of the surface fronts over southern China during TAMEX, Mon. Weather Rev., 121, 50–64, https://doi.org/10.1175/1520-0493(1993)121%3C0050:SSSAOT%3E2.0.CO;2, 1993.
Chi, S.-S.:
The Mei-Yu in Taiwan, SFRDEST E-625 06-MT-03-4, Chung-Shin Engineering Technology Research and Development Foundation, Taipei, Taiwan, 65 pp, 2006 (in Chinese).
Cho, H. R. and Chen, G. T.-J.:
Mei-Yu frontogenesis, J. Atmos. Sci., 52, 2109–2120, https://doi.org/10.1175/1520-0469(1995)052%3C2109:MYF%3E2.0.CO;2, 1995.
Chu, C.-M. and Lin, Y.-L.:
Effects of orography on the generation and propagation of mesoscale convective systems in a two-dimensional conditionally unstable flow, J. Atmos. Sci., 57, 3817–3837, https://doi.org/10.1175/1520-0469(2001)057%3C3817:EOOOTG%3E2.0.CO;2, 2000.
Ciesielski, P. E., Chang, W.-M., Huang, S.-C., Johnson, R. H., Jou, B. J.-D., Lee, W.-C., Lin, P.-H., Liu, C.-H., and Wang, J.:
Quality-controlled upper-air sounding dataset for TiMREX/SoWMEX: Development and corrections, J. Atmos. Ocean. Tech., 27, 1802–1821, https://doi.org/10.1175/2010JTECHA1481.1, 2010.
Cotton, W. R., Tripoli, G. J., Rauber, R. M., and Mulvihill, E. A.:
Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall, J. Appl. Meteorol. Clim., 25, 1658–1680, https://doi.org/10.1175/1520-0450(1986)025%3C1658:NSOTEO%3E2.0.CO;2, 1986.
Davis, C. A. and Lee, W.-C.:
Mesoscale analysis of heavy rainfall episodes from SoWMEX/TiMREX, J. Atmos. Sci., 69, 521–537, https://doi.org/10.1175/JAS-D-11-0120.1, 2012.
Deardorff, J. W.:
Stratocumulus-capped mixed layers derived from a three-dimensional model, Bound.-Lay. Meteorol., 18, 495–527, https://doi.org/10.1007/BF00119502, 1980.
Ding, Y.:
Summer monsoon rainfalls in China, J. Meteorol. Soc. Jpn., 70, 373–396, https://doi.org/10.2151/jmsj1965.70.1B_373, 1992.
Forbes, G. S., Anthes, R. A., and Thompson, D. W.:
Synoptic and mesoscale aspects of an Appalachian ice storm associated with cold-air damming, Mon. Weather Rev., 115, 564–591, https://doi.org/10.1175/1520-0493(1987)115%3C0564:SAMAOA%3E2.0.CO;2, 1987.
Fovell, R. G.:
Convective initiation ahead of the sea-breeze front, Mon. Weather Rev., 133, 264–278, https://doi.org/10.1175/MWR-2852.1, 2005.
Gourley, J. J., Zhang, J., Maddox, R. A., Calvert, C. M., andHoward, K. W.:
A real-time precipitation monitoring algorithm—quantitative precipitation estimation using multiple sensors (QPE-SUMS), Preprints, symp. on precipitation extremes: prediction, impacts, and responses, Albuquerque, NM, Am. Meteor. Soc., 57–60, 2001.
Hsu, J.:
ARMTS up and running in Taiwan, Väisälä News, 146, 24–26, 1998.
Ikawa, M. and Saito, K.:
Description of a nonhydrostatic model developed at the Forecast Research Department of the MRI, Technical Report, 28, Meteorological Research Institute, Tsukuba, Ibaraki, Japan, 245 pp, https://doi.org/10.11483/mritechrepo.28, 1991.
Johnson, R. H.:
Diurnal cycle of monsoon convection, in: The Global Monsoon System: Research and Forecast, 2nd edn., edited by: Chang, C.-P., Ding, Y., Lau, N.-C., Johnson, R. H., Wang, B., Yasunari, T., World Scientific, Toh Tuck Link, Singapore, 257–276, https://doi.org/10.1142/9789814343411_0015, 2011.
Jou, B. J.-D. and Deng, S.-M.:
Structure of a low-level jet and its role in triggering and organizing moist convection over Taiwan: A TAMEX case study, Terr. Atmos. Ocean. Sci., 3, 39–58, https://doi.org/10.3319/TAO.1992.3.1.39(A), 1992.
Jou, B. J.-D., Lee, W.-C., and Johnson, R. H.:
An overview of SoWMEX/TiMREX and its operation, in: The Global Monsoon System: Research and Forecast, edited by: Chang, C.-P., Ding, Y., Lau, N.-C., Johnson, R. H., Wang, B., Yasunari, T., World Scientific, Toh Tuck Link, Singapore, 303–318, https://doi.org/10.1142/9789814343411_0018, 2011.
Kalnay, E., Kanamitsu, M., and Baker, W. E.:
Global numerical weather prediction at the National Meteorological Center, B. Am. Meteorol. Soc., 71, 1410–1428, https://www.jstor.org/stable/26228046 (last access: 21 April 2021), 1990.
Kerns, B. W. J., Chen, Y.-L., and Chang, M.-Y.:
The diurnal cycle of winds, rain, and clouds over Taiwan during the mei-yu, summer, and autumn rainfall regimes, Mon. Weather Rev., 138, 497–516, https://doi.org/10.1175/2009MWR3031.1, 2010.
Kingsmill, D. E.:
Convection initiation associated with a sea-breeze front, a gust front, and their collision, Mon. Weather Rev., 123, 2913–2933, https://doi.org/10.1175/1520-0493(1995)123%3C2913:CIAWAS%3E2.0.CO;2, 1995.
Kirshbaum, D.:
Cloud-resolving simulations of deep convection over a heated mountain. J. Atmos. Sci., 68, 361–378, 2011.
Kleist, D. T., Parrish, D. F., Derber, J. C., Treadon, R., Wu, W. S., and Lord, S.:
Introduction of the GSI into the NCEP Global Data Assimilation System, Weather Forecast., 24, 1691–1705, https://doi.org/10.1175/2009WAF2222201.1, 2009.
Kondo, J.:
Heat balance of the China Sea during the air mass transformation experiment, J. Meteorol. Soc. Jpn., 54, 382–398, https://doi.org/10.2151/jmsj1965.54.6_382, 1976.
Kuo, Y.-H. and Chen, G. T.-J.:
The Taiwan Area Mesoscale Experiment (TAMEX): An overview, B. Am. Meteorol. Soc., 71, 488–503, https://doi.org/10.1175/1520-0477(1990)071%3C0488:TTAMEA%3E2.0.CO;2, 1990.
Lai, H.-W, Davis, C. A., and Jou, B. J.-D.:
A subtropical oceanic mesoscale convective vortex observed during SoWMEX/TiMREX, Mon. Weather Rev., 139, 2367–2385, https://doi.org/10.1175/2010MWR3411.1, 2011.
Li, J. and Chen, Y.-L.:
Barrier jets during TAMEX, Mon. Weather Rev., 126, 959–971, https://doi.org/10.1175/1520-0493(1998)126%3C0959:BJDT%3E2.0.CO;2, 1998.
Lin, Y.-L.:
Orographic effects on airflow and mesoscale weather systems over Taiwan, Terr. Atmos. Ocean. Sci., 4, 381–420, https://doi.org/10.3319/TAO.1993.4.4.381(A), 1993.
Lin, Y.-L., Farley, R. D., and Orville, H. D.:
Bulk parameterization of the snow field in a cloud model, J. Appl. Meteorol. Clim., 22, 1065–1092, https://doi.org/10.1175/1520-0450(1983)022%3C1065:BPOTSF%3E2.0.CO;2, 1983.
Lin, Y.-L., Chiao, S., Wang, T.-A., Kaplan, M. L., and Weglarz, R. P.:
Some common ingredients for heavy orographic rainfall, Weather Forecast., 16 633–660, https://doi.org/10.1175/1520-0434(2001)016%3C0633:SCIFHO%3E2.0.CO;2, 2001.
Louis, J. F., Tiedtke, M., and Geleyn, J. F.:
A short history of the operational PBL parameterization at ECMWF, in: Proceedings of Workshop on Planetary Boundary Layer Parameterization, Shinfield Park, Reading, UK, 25–27 November 1981, 59–79, https://www.ecmwf.int/node/10845 (last access: 21 April 2021), 1982.
Lupo, K. M., Torn, R. D., and Yang, S.-C.:
Evaluation of stochastic perturbed parameterization tendencies on convective permitting ensemble forecasts of heavy rainfall events in New York and Taiwan, Weather Forecast., 35, 5–24, https://doi.org/10.1175/WAF-D-19-0064.1, 2020.
Manins, P. C. and Sawford, B. L.:
Mesoscale observations of upstream blocking, Q. J. Roy. Meteor. Soc., 108, 427–434, https://doi.org/10.1002/qj.49710845608, 1982.
Metzger, J., Barthlott, C., and Kalthoff, N.:
Impact of upstream flow conditions on the initiation of moist convection over the island of Corsica, Atmos. Res. 145–146, 279–296, https://doi.org/10.1016/j.atmosres.2014.04.011, 2014.
Miglietta, M. M. and Rotunno, R.:
Numerical simulations of conditionally unstable flows over a mountain ridge, J. Atmos. Sci., 66, 1865–1885, https://doi.org/10.1175/2009JAS2902.1, 2009.
Murakami, M.:
Numerical modeling of dynamical and microphysical evolution of an isolated convective cloud—The 19 July 1981 CCOPE cloud, J. Meteorol. Soc. Jpn., 68, 107–128, https://doi.org/10.2151/jmsj1965.68.2_107, 1990.
Murakami, M., Clark, T. L., and Hall, W. D.:
Numerical simulations of convective snow clouds over the Sea of Japan: Two-dimensional simulation of mixed layer development and convective snow cloud formation, J. Meteorol. Soc. Jpn., 72, 43–62, https://doi.org/10.2151/jmsj1965.72.1_43, 1994.
Nicholls, M. E., Pielke, R. A., and Cotton, W. R.:
A two-dimensional numerical investigation of the interaction between sea breezes and deep convection over the Florida peninsula, Mon. Weather Rev., 119, 298–323, https://doi.org/10.1175/1520-0493(1991)119%3C0298:ATDNIO%3E2.0.CO;2, 1991.
Overland, J. E. and Bond, B. A.:
Observations and scale analysis of a coastal wind jet, Mon. Weather Rev., 123, 2934–2941, https://doi.org/10.1175/1520-0493(1995)123%3C2934:OASAOC%3E2.0.CO;2, 1995.
Pierrehumbert, R. T.:
Linear results on the barrier effects of mesoscale mountains, J. Atmos. Sci., 41, 1356–1367, https://doi.org/10.1175/1520-0469(1984)041%3C1356:LROTBE%3E2.0.CO;2, 1984.
Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., and Wang, W.:
An improved in situ and satellite SST analysis for climate, J. Climate, 15, 1609–1625, https://doi.org/10.1175/1520-0442(2002)015%3C1609:AIISAS%3E2.0.CO;2, 2002.
Rotunno, R. and Ferretti, R.:
Orographic effects on rainfall in MAP cases IOP 2b and IOP 8, Q. J. Roy. Meteor. Soc., 129, 373–390, https://doi.org/10.1256/qj.02.20, 2003.
Ruppert, J. H., Jr., Johnson, R. H., and Rowe, A. K.:
Diurnal circulations and rainfall in Taiwan during SoWMEX/TiMREX (2008), Mon. Weather Rev., 141, 3851–3872, https://doi.org/10.1175/MWR-D-12-00301.1, 2013.
Segami, A., Kurihara, K., Nakamura, H., Ueno, M., Takano, I., and Tatsumi, Y.:
Operational mesoscale weather prediction with Japan Spectral Model, J. Meteorol. Soc. Jpn., 67, 907–924, https://doi.org/10.2151/jmsj1965.67.5_907, 1989.
Sever, G. and Lin, Y.-L.:
Dynamical and physical processes associated with orographic precipitation in a conditionally unstable uniform flow: Variation in basic wind speed, J. Atmos. Sci., 74, 449–466, https://doi.org/10.1175/JAS-D-16-0077.1, 2017.
Sha, W., Kawamura, T., and Ueda, H.:
A numerical study on sea/land breezes as a gravity current: Kelvin–Helmholtz billows and inland penetration of the sea-breeze front, J. Atmos. Sci., 48, 1649–1665, https://doi.org/10.1175/1520-0469(1991)048%3C1649:ANSOSB%3E2.0.CO;2, 1991.
Smith, R. B.:
Synoptic observations and theory of orographically disturbed wind and pressure, J. Atmos. Sci., 39, 60–70, https://doi.org/10.1175/1520-0469(1982)039%3C0060:SOATOO%3E2.0.CO;2, 1982.
Smolarkiewicz, P. K., Rasmussen, R., and Clark, T. L.:
On the dynamics of Hawaiian cloud band: Island forcing, J. Atmos. Sci., 45, 1872–1905, https://doi.org/10.1175/1520-0469(1988)045%3C1872:OTDOHC%3E2.0.CO;2, 1988.
Sun, W.-Y. and Chern, J.-D.:
Diurnal variation of lee vortices in Taiwan and the surrounding area, J. Atmos. Sci., 50, 3404–3430, https://doi.org/10.1175/1520-0469(1993)050%3C3404:DVOLVI%3E2.0.CO;2, 1993.
Sun, W.-Y. and Chern, J.-D.:
Numerical experiments of vortices in the wakes of large idealized mountains, J. Atmos. Sci., 51, 191–209, https://doi.org/10.1175/1520-0469(1994)051%3C0191:NEOVIT%3E2.0.CO;2, 1994.
Tsuboki, K.:
High-resolution simulations of high-impact weather systems using the cloud-resolving model on the Earth Simulator, in: High Resolution Numerical Modeling of the Atmosphere and Ocean, edited by: Hamilton, K. and Ohfuchi, W., Springer, New York, New York, USA, 141–156, https://doi.org/10.1007/978-0-387-49791-4_9, 2008.
Tsuboki, K. and Sakakibara, A.:
Large-scale parallel computing of cloud resolving storm simulator, in: High Performance Computing, edited by: Zima, H. P., Joe, K., Sato, M., Seo, Y., and Shimasaki, M., Springer, Berlin, Heidelberg, Germany, 243–259, https://doi.org/10.1007/3-540-47847-7_21, 2002.
Tsuboki, K. and Sakakibara, A.:
Numerical Prediction of High-Impact Weather Systems: The Textbook for the Seventeenth IHP Training Course in 2007, Hydrospheric Atmospheric Research Center, Nagoya University, Nagoya, Japan, and UNESCO, Paris, France, 273 pp, 2007.
Tu, C.-C., Chen, Y.-L., Chen, C.-S., Lin, P.-L., and Lin, P.-H.:
A comparison of two heavy rainfall events during the Terrain-influenced Monsoon Rainfall Experiment (TiMREX) 2008, Mon. Weather Rev., 142, 2436–2463, https://doi.org/10.1175/MWR-D-13-00293.1, 2014.
Walser, A., Lüthi, D., and Schär, C.:
Predictability of precipitation in a cloud-resolving model, Mon. Weather Rev., 132, 560–577, https://doi.org/10.1175/1520-0493(2004)132%3C0560:POPIAC%3E2.0.CO;2, 2004.
Wang, A.-H., Wang, C.-C., and Chen, G. T.-J.:
A study on synoptic conditions leading to the extreme rainfall in Taiwan during 10-12 June 2012, Atmophsere, 12, 1255, https://doi.org/10.3390/atmos12101255, 2021.
Wang, C.-C. and Chen, G. T.-J.:
Case study of the leeside mesolow and mesocyclone in TAMEX, Mon. Weather Rev., 130, 2572–2592, https://doi.org/10.1175/1520-0493(2002)130%3C2572:CSOTLM%3E2.0.CO;2, 2002.
Wang, C.-C. and Chen, G. T.-J.:
On the formation of leeside mesolows under different Froude number flow regime in TAMEX, J. Meteorol. Soc. Jpn., 81, 339–365, https://doi.org/10.2151/jmsj.81.339, 2003.
Wang, C.-C., Chen, G. T.-J., Chen, T. C., and Tsuboki, K.:
A numerical study on the effects of Taiwan topography on a convective line during the mei-yu season, Mon. Weather Rev., 133, 3217–3242, https://doi.org/10.1175/MWR3028.1, 2005.
Wang, C.-C., Chen, G. T.-J., and Huang, S.-Y.:
Remote trigger of deep convection by cold outflow over the Taiwan Strait in the Mei-yu season: A modeling study of the 8 June 2007 case, Mon. Weather Rev., 139, 2854–2875, https://doi.org/10.1175/2011MWR3613.1, 2011.
Wang, C.-C., Hsu, J. C.-S., Chen, G. T.-J., and Lee, D.-I.:
A study of two propagating heavy-rainfall episodes near Taiwan during SoWMEX/TiMREX IOP-8 in June 2008. Part I: Synoptic evolution, episode propagation, and model control simulation, Mon. Weather Rev., 142, 2619–2643, https://doi.org/10.1175/MWR-D-13-00331.1, 2014a.
Wang, C.-C., Hsu, J. C.-S., Chen, G. T.-J., and Lee, D.-I.:
A study of two propagating heavy-rainfall episodes near Taiwan during SoWMEX/TiMREX IOP-8 in June 2008. Part II: Sensitivity tests on the roles of synoptic conditions and topographic effects, Mon. Weather Rev., 142, 2644–2664, https://doi.org/10.1175/MWR-D-13-00330.1, 2014b.
Wang, C.-C., Chiou, B.-K., Chen, G. T.-J., Kuo, H.-C., and Liu, C.-H.: A numerical study of back-building process in a quasistationary rainband with extreme rainfall over northern Taiwan during 11–12 June 2012, Atmos. Chem. Phys., 16, 12359–12382, https://doi.org/10.5194/acp-16-12359-2016, 2016.
Wang, C.-C., Chen, G. T.-J., Ngai, C.-H., and Tsuboki, K.:
Case study of a morning convective rainfall event over southwestern Taiwan in the Mei-yu season under weak synoptic conditions, J. Meteorol. Soc. Jpn., 96, 461–484, https://doi.org/10.2151/jmsj.2018-051, 2018.
Wang, C.-C., Li, M.-S., Chang, C.-S., Chuang, P.-Y., Chen, S.-H., and Tsuboki, K.:
Ensemble-based sensitivity analysis and predictability of an extreme rainfall event over northern Taiwan in the Mei-yu season: The 2 June 2017 case, Atmos. Res., 259, 105684, https://doi.org/10.1016/j.atmosres.2021.105684, 2021.
Wang, C.-C., Chuang, P.-Y., Chen, S.-T., Lee, D.-I., and Tsuboki, K.: Cloud-Resolving Storm Simulator Binary Data, DBAR [data set], https://doi.org/10.29840/DBAR.DB_CReSSBD/Dataset, 2022.
Xu, W., Zipser, E. J., Chen, Y.-L., Liu, C., Liou, Y.-C., Lee, W.-C., and Jou, B. J.-D.:
An orography-associated extreme rainfall event during TiMREX: Initiation, storm evolution, and maintenance, Mon. Weather Rev., 140, 2555–2574, https://doi.org/10.1175/MWR-D-11-00208.1, 2012.
Yeh, H.-C. and Chen, Y.-L.:
Characteristics of rainfall distributions over Taiwan during the Taiwan Area Mesoscale Experiment (TAMEX), J. Appl. Meteorol. Clim., 37, 1457–1469, https://doi.org/10.1175/1520-0450(1998)037%3C1457:CORDOT%3E2.0.CO;2, 1998.
Yeh, H.-C. and Chen, Y.-L.:
The role of offshore convergence on coastal rainfall during TAMEX IOP 3, Mon. Weather Rev., 130, 2709–2730, https://doi.org/10.1175/1520-0493(2002)130%3C2709:TROOCO%3E2.0.CO;2, 2002.
Yeh, H.-C. and Chen, Y.-L.:
Numerical simulations of the barrier jet over northwestern Taiwan during the Mei-Yu Season, Mon. Weather Rev., 131, 1396–1407, https://doi.org/10.1175/1520-0493(2003)131%3C1396:NSOTBJ%3E2.0.CO;2, 2003.
Short summary
In this study, cloud-resolving simulations are performed under idealized and uniform southwesterly flow direction and speed to investigate the rainfall regimes in the Mei-yu season and the role of complex mesoscale topography on rainfall without the influence of unwanted disturbances, including a low-Froude number regime where the thermodynamic effects and island circulation dominate, a high-Froude number regime where topographic rainfall in a flow-over scenario prevails, and a mixed regime.
In this study, cloud-resolving simulations are performed under idealized and uniform...
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