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High-Resolution Simulations of Tropical Cyclones and Mesoscale Convective Systems Using the CReSS Model

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Numerical Weather Prediction: East Asian Perspectives

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Abstract

The Cloud Resolving Storm Simulator (CReSS) model is a nonhydrostatic and compressible equation model designed to simulate high-impact weather systems at high resolution to resolve individual convective clouds. CReSS began to develop from scratch in 1998 and has been optimized for massively parallel computers. The objectives of the CReSS are tropical cyclones, mesoscale convective systems, heavy rainfall, tornadoes, mid-latitude cyclones, and winter snowstorms. CReSS is used for numerical experiments and real weather forecasts. The source code of CReSS is available for scientific and commercial use, and CReSS has been used in many countries for many purposes. This chapter describes the fundamental formulations and technical characteristics of CReSS, as well as its scientific applications in many high-impact weather systems.

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References

  • Aiki H, Takahashi K, Yamagata T (2006) The Red Sea outflow regulated by the Indian Monsoon. Contin Shelf Res 26:1448–1468. https://doi.org/10.1016/j.csr.2006.02.017

  • Aiki H, Matthews JP, Lamb KG (2011) Modeling and energetics of tidally generated wave trains in the Lombok Strait: impact of the Indonesian throughflow. J Geophys Res 116:C03023. https://doi.org/10.1029/2010JC006589

  • Aiki H, Yoshioka MK, Kato M, Morimoto A, Shinoda T, Tsuboki K (2015) A coupled atmosphere-ocean-surface-wave modeling system for understanding air-sea interactions under tropical cyclone conditions. Bull Coast Oceanogr 52:139–148

    Google Scholar 

  • Akter N, Tsuboki K (2010) Characteristics of supercells in the rainband of numerically simulated cyclone Sidr. SOLA 6A:25–28. https://doi.org/10.2151/sola.6A-007

    Article  Google Scholar 

  • Akter N, Tsuboki K (2012) Numerical simulation of cyclone Sidr using cloud resolving model: characteristics and formation process of an outer rainband. Mon Weather Rev 140(3):789–810. https://doi.org/10.1175/2011MWR3643.1

    Article  Google Scholar 

  • Arakawa A, Lamb VR (1977) Computational design of the basic dynamical processes of the UCLA general circulation model. In: Methods in computational physics, vol 17. Academic Press, pp 173–265

    Google Scholar 

  • Asselin R (1972) Frequency filter for time integration. Mon Weather Rev 100:487–490

    Article  Google Scholar 

  • Barker DM, Huang W, Guo YR, Bourgeois AJ, Xiao QN (2004) A three-dimensional variational data assimilation system for MM5: implementation and initial results. Mon Weather Rev 132:897–914

    Article  Google Scholar 

  • Chen YH, Kuo HC, Wang CC, Yang YT (2017) Influence of southwest monsoon flow and typhoon track on Taiwan rainfall during the exit phase: modeling study of Typhoon Morakot (2009). Q J R Meteorol Soc 143(B):3014–3024. https://doi.org/10.1002/qj.3156

  • Cotton WR, Tripoli GJ, Rauber RM, Mulvihill EA (1986) Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall. J Clim Appl Meteorol 25:1658–1680

    Article  Google Scholar 

  • Cote MR (2007) Predecessor rain events in advance of tropical cyclones. M.S. thesis, Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, 200 pp

    Google Scholar 

  • Deardorff JW (1972) Numerical investigation of neutral and unstable planetary boundary layers. J Atmos Sci 29:91–115

    Article  Google Scholar 

  • Deardorff JW (1980) Stratocumulus-capped mixed layers derived from a three-dimensional model. Bound-Layer Meteorol 18:495–527

    Article  Google Scholar 

  • Donelan MA, Curcic M, Chen SS, Magnusson AK (2012) Modeling waves and wind stress. J Geophys Res 117:C00J23. https://doi.org/10.1029/2011JC007787

  • Fujiwara K, Kawamura R, Kawano T (2020a) Remote thermodynamic impact of the Kuroshio Current on a developing tropical cyclone over the Western North Pacific in boreal fall. J Geophys Res Atmos 125:e2019JD031356. https://doi.org/10.1029/2019JD031356

  • Fujiwara K, Kawamura R, Kawano T (2020b) Suppression of tropical cyclone development in response to a remote increase in the latent heat flux over the Kuroshio: a case study for Typhoon Chaba in 2010. SOLA 16:151–156. https://doi.org/10.2151/sola.2020-026

  • Fujiwara K, Kawamura R (2021) Active role of sea surface temperature changes over the Kuroshio in the development of distant tropical cyclones in boreal fall. J Geophys Res Atmos 126:e2021JD035056. https://doi.org/10.1029/2021JD035056

  • Furuichi N, Hibiya T, Niwa Y (2012) Assessment of turbulence closure models for resonant inertial response in the oceanic mixed layer using a large eddy simulation model. J Oceanogr 68:285–294. https://doi.org/10.1007/s10872-011-0095-3

  • Galarneau TJ, Bosart LF, Schumacher RS (2010) Predecessor rain events ahead of tropical cyclones. Mon Weather Rev 138:3272–3297. https://doi.org/10.1175/2010MWR3243.1

    Article  Google Scholar 

  • Gal-Chen T (1978) A method for the initialization of the anelastic equations: implications for matching models with observations. Mon Weather Rev 106:587–606. https://doi.org/10.1175/1520-0493(1978)106<0587:AMFTIO>2.0.CO;2

  • Grell G, Dudhia J, Stauffer D (1994) A description of the fifth-generation Penn State/NCAR mesoscale model (MM5). NCAR technical note, NCAR/TN-398+STR, 138 pp

    Google Scholar 

  • Hane CE, Wilhelmson RB, Gal-Chen T (1981) Retrieval of thermodynamic variables within deep convective clouds: experiments in three dimensions. Mon Weather Rev 109:564–576. https://doi.org/10.1175/1520-0493(1981)109<0564:ROTVWD>2.0.CO;2

  • Hioki T, Tsuboki K (2021) Trajectory analyses on the warm core development and pressure falls of a developing typhoon as simulated by a cloud-resolving model. J Meteorol Soc Jpn 99:1329–1350. https://doi.org/10.2151/jmsj.2021-064

    Article  Google Scholar 

  • Hirata H, Kawamura R, Kato M, Shinoda T (2015) Influential role of moisture supply from the Kuroshio/Kuroshio Extension in the rapid development of an extratropical cyclone. Mon Weather Rev 143:4126–4144. https://doi.org/10.1175/MWR-D-15-0016.1

  • Hirata H, Kawamura R, Kato M, Shinoda T (2018) A positive feedback process related to the rapid development of an extratropical cyclone over the Kuroshio/Kuroshio Extension. Mon Weather Rev 146:417–433. https://doi.org/10.1175/MWR-D-17-0063.1

  • Hirata H, Kawamura R, Yoshika MK, Nonaka M, Tsuboki K (2019a) Key role of the Kuroshio Current in the formation of frontal structure of an extratropical cyclone associated with heavy precipitation. J Geophys Res Atmos 124:6143–6156. https://doi.org/10.1029/2019GL082995

  • Hirata H, Kawamura R, Nonaka M, Tsuboki K (2019b) Significant impact of heat supply from the Gulf Stream on a “superbomb” cyclone in January 2018. Geophys Res Lett 46:7718–7725. https://doi.org/10.1029/2019GL082995

  • Hirata H, Kawamura R, Nonaka M, Tsuboki K (2021) Kuroshio-enhanced convective rainband associated with an extratropical cyclone in the cold season. J Meteorol Soc Jpn 99(4):899–912. https://doi.org/10.2151/jmsj.2021-043

  • Iacono MJ, Delamere JS, Mlawer EJ, Clough SA (2003) Evaluation of upper tropospheric water vapor in the NCAR community climate model (CCM3) using modeled and observed HIRS radiances. J Geophys Res 108:4037. https://doi.org/10.1029/2002JD002539

  • Ikawa M (1988) Comparison of some schemes for nonhydrostatic models with orography. J Meteorol Soc Jpn 66:753–776

    Article  Google Scholar 

  • Ikawa M, Saito K (1991) Description of a nonhydrostatic model developed at the Forecast Research Department of the MRI. Techn Rep MRI 28:1–238

    Google Scholar 

  • Jeong JH, Lee DI, Wang CC (2016a) Impact of the cold pool on mesoscale convective system-produced extreme rainfall over southeastern South Korea: 7 July 2009. Mon Weather Rev 144:3985–4006

    Google Scholar 

  • Jeong JH, Lee DI, Wang CC, Han IS (2016b) Characteristics of mesoscale-convective-system-produced extreme rainfall over southeastern South Korea: 7 July 2009. Nat Hazards Earth Syst Sci 16:927–939

    Google Scholar 

  • Kanada S, Tsujino S, Aiki H, Yoshioka MK, Miyazawa Y, Tsuboki K, Takayabu I (2017a) Impacts of SST patterns on rapid intensification of Typhoon Megi (2010). J Geophys Res Atmos 122:13245–13262. https://doi.org/10.1002/2017JD027252

  • Kanada S, Tsuboki K, Aiki H, Tsujino S, Takayabu I (2017b) Future enhancement of heavy rainfall events associated with a typhoon in the midlatitude regions. SOLA 13:246–251. https://doi.org/10.2151/sola.2017-045

  • Kanada S, Aiki H, Tsuboki K, Takayabu I (2019) Future changes in typhoon-related precipitation in eastern Hokkaido. SOLA 15:244–249. https://doi.org/10.2151/sola.2019-044

    Article  Google Scholar 

  • Kanada S, Tsuboki K, Takayabu I (2020) Future changes of tropical cyclones in the midlatitudes in 4-km-mesh downscaling experiments from large-ensemble simulations. SOLA 16:57–63. https://doi.org/10.2151/sola.2020-010

  • Kanada S, Aiki H, Tsuboki K, Takayabu I (2021a) Future changes of a slow-moving intense typhoon with global warming: a case study using a regional 1-km-mesh atmosphere-ocean coupled model. SOLA 17A:14–20. https://doi.org/10.2151/sola.17A-003

  • Kanada S, Aiki H, Tsuboki K (2021b) Projection of future enhancement of heavy rainfalls associated with typhoon Hagibis (2019) using a regional 1-km-mesh atmosphere-ocean coupled model. SOLA 17A:38–44. https://doi.org/10.2151/sola.17A-007

  • Klemp JB, Wilhelmson RB (1978) The simulation of three-dimensional convective storm dynamics. J Atmos Sci 35:1070–1096

    Article  Google Scholar 

  • Kato R, Shimizu S, Shimose K, Iwanami K (2017) Very short time range forecasting using CReSS-3DVAR for a meso-\(\gamma \)-scale, localized, extremely heavy rainfall event: comparison with an extrapolation-based nowcast. J Disaster Res 12:967–979

    Article  Google Scholar 

  • Kato R, Shimizu S, Ohigashi T, Maesaka T, Shimose K, Iwanami K (2022) Prediction of meso-\(\gamma \)-scale local heavy rain by ground-based cloud radar assimilation with water vapor nudging. Weather Forecast 37:1553–1566. https://doi.org/10.1175/WAF-D-22-0017.1

    Article  Google Scholar 

  • Kitoh A, Ose T, Kurihara K, Kusunoki S, Sugi M, KAKUSHIN Team-3 Modeling Group (2009) Projection of changes in future weather extremes using super-high-resolution global and regional atmospheric models in the KAKUSHIN program: results of preliminary experiments. Hydrol Res Lett 3:49–53

    Google Scholar 

  • Kondo J (1975) Air-sea bulk transfer coefficients in diabatic conditions. Bound-Layer Meteorol 9:91–112

    Google Scholar 

  • Kuo HC, Tsujino S, Huang CC, Wang CC, Tsuboki K (2019) Diagnosis of the dynamic efficiency of latent heat release and the rapid intensification of supertyphoon Haiyan (2013). Mon Weather Rev 147:1127–1147. https://doi.org/10.1175/MWRD-18-0149.1

  • Liang J, Wu L, Ge X, Wu CC (2011) Monsoonal influence on typhoon Morakot (2009). Part II: numerical study. J Atmos Sci 68:2222–2235

    Google Scholar 

  • Liou YC, Chiou JL, Chen WH, Yu HY (2014) Improving the model convective storm quantitative precipitation nowcasting by assimilating state variables retrieved from multiple-Doppler radar observations. Mon Weather Rev 142:4017–4035. https://doi.org/10.1175/MWR-D-13-00315.1

  • Lilly DK (1962) On the numerical simulation of buoyant convection. Tellus 14:168–172

    Article  Google Scholar 

  • Lin YL, Farley RD, Orville HD (1983) Bulk parameterization of the snow field in a cloud model. J Appl Meteorol Climatol 22:1065–1092

    Article  Google Scholar 

  • Liu AQ, Moore GWK, Tsuboki K, Renfrew IA (2004) A high resolution simulation of convective roll clouds during a cold-air outbreak. Geophys Res Lett 31:L03101. https://doi.org/10.1029/2003GL018530

    Article  Google Scholar 

  • Liu AQ, Moore GWK, Tsuboki K, Renfrew IA (2006) The effect of the sea-ice zone on the development of boundary-layer roll clouds during cold air outbreaks. Bound-Layer Meteorol 118:557–581. https://doi.org/10.1007/s10546-005-6434-4

    Article  Google Scholar 

  • Louis JF, Tiedtke M, Geleyn JF (1981) A short history of the operational PBL parameterization at ECMWF. In: Proceedings of ECMWF workshop on planetary boundary layer parameterization, ECMWF, Reading, UK, pp 59–79. https://www.ecmwf.int/node/10845

  • MacGorman DR, Straka JM, Ziegler CL (2001) A lightning parameterization for numerical cloud models. J Appl Meteorol Climatol 40(3):459–478

    Article  Google Scholar 

  • Maesaka T, Moore GWK, Liu Q, Tsuboki K (2006) A simulation of a lake effect snowstorm with a cloud resolving numerical model. Geophys Res Lett 33:L20813. https://doi.org/10.1029/2006GL026638

    Article  Google Scholar 

  • Min KS, Tsuboki K, Yoshioka MK, Moroda Y, Kanada S (2021) Formation mechanism of a stationary line-shaped precipitation system in the Kinki District, Japan—case study on 1 September 2015 event. J Meteorol Soc Jpn 99:357–377. https://doi.org/10.2151/jmsj.2021-017

    Article  Google Scholar 

  • Mizuta R, Oouchi K, Yoshimura H, Noda A, Katayama K, Yukimoto S, Hosaka M, Kusunoki S, Kawai H, Nakagawa M (2006) 20-km-mesh global climate simulations using JMA-GSM model: mean climate states. J Meteorol Soc Jpn 84:165–185

    Article  Google Scholar 

  • Mizuta R et al (2017) Over 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models. Bull Am Meteorol Soc 98(7):1383–1398. https://doi.org/10.1175/BAMS-D-16-0099.1

  • Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA (1997) Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res 102:16663–16682. https://doi.org/10.1029/97JD00237

  • Murakami M (1990) 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

    Article  Google Scholar 

  • Murakami M, Clark TL, Hall WD (1994) Numerical simulations of convective snow clouds over the Sea of Japan; two-dimensional simulations of mixed layer development and convective snow cloud formation. J Meteorol Soc Jpn 72:43–62

    Article  Google Scholar 

  • Nakanishi M, Niino H (2009) Development of an improved turbulence closure model for the atmospheric boundary layer. J Meteorol Soc Jpn 87:895–912

    Article  Google Scholar 

  • Nomura M, Tsuboki K (2012) Numerical study of precipitation intensification and ice-phase microphysical processes in typhoon spiral band. J Meteorol Soc Jpn 90:685–699

    Article  Google Scholar 

  • Nomura M, Tsuboki K, Shinoda T (2012) Impact of sedimentation of cloud ice on cloud-top height and precipitation intensity of precipitation systems simulated by a cloud-resolving model. J Meteorol Soc Jpn 90:791–806

    Article  Google Scholar 

  • Ohigashi T, Tsuboki K (2007) Shift and intensification processes of the Japan-sea polar-airmass convergence zone associated with the passage of a mid-tropospheric cold core. J Meteorol Soc Jpn 85(5):633–662. https://doi.org/10.2151/jmsj.85.633

    Article  Google Scholar 

  • Pielke RA, Cotton WR, Walko RL, Tremback CJ, Lyons WA, Grasso LD, Nicholls ME, Moran MD, Wesley DA, Lee TJ, Copeland JH (1992) A comprehensive meteorological modeling system: RAMS. Meteorol Atmos Phys 49:69–91

    Article  Google Scholar 

  • Segami A, Kurihara K, Nakamura H, Ueno M, Takano I, Tatsumi Y (1989) Operational mesoscale weather prediction with Japan spectral model. J Meteorol Soc Jpn 67(5):907–924

    Article  Google Scholar 

  • Shima S, Kusano K, Kawano A, Sugiyama T, Kawahara S (2009) The super-droplet method for the numerical simulation of clouds and precipitation: a particle-based and probabilistic microphysics model coupled with non-hydrostatic model. Q J R Meteorol Soc 135:1307–1320. https://doi.org/10.1002/qj.441

    Article  Google Scholar 

  • Shimizu S, Iwanami K, Kato R, Sakurai N, Maesaka T, Kieda K, Shusse Y, Suzuki S (2019) Assimilation impact of high temporal-resolution volume scans on quantitative precipitation forecasts in a severe storm: evidence from nudging data assimilation experiments with a thermodynamic retrieval method. Q J R Meteorol Soc 145:2139–2160. https://doi.org/10.1002/qj.3548

  • Shimose K, Shimizu S, Kato R, Iwanami K (2017) Analysis of the 6 September 2015 tornadic storm around the Tokyo metropolitan area using coupled 3DVAR and incremental analysis updates. J Disaster Res 12:956–966

    Google Scholar 

  • Smagorinsky J (1963) General circulation experiments with the primitive equations. I. The basic experiment. Mon Weather Rev 91:99–164

    Article  Google Scholar 

  • Stauffer DR, Seaman NL (1994) Multiscale four-dimensional data assimilation. J Appl Meteorol Climatol 33:416–434

    Article  Google Scholar 

  • Takahashi T (1978) Riming electrification as a charge generation mechanism in thunderstorms. J Atmos Sci 35(8):1536–1548

    Article  Google Scholar 

  • Tsuboki K, Sakakibara A (2002) Large-scale parallel computing of cloud resolving storm simulator. In: Hans PZ et al (eds) High performance computing. Springer, New York, pp 243–259

    Google Scholar 

  • Tsuboki K, Sakakibara A (2006) The prediction experiment of a localized heavy rainfall associated with a typhoon using the cloud-resolving model: a case study of the heavy rainfall event in the northern Kinki District associated with the typhoon 0423 on 20 October 2004. J Jpn Soc Natl Disaster Sci 25(3):351–373 (in Japanese with English abstract)

    Google Scholar 

  • Tsuboki K, Sakakibara A (2007) Numerical prediction of high-impact weather systems. In: The textbook for seventeenth IHP training course in 2007. Hydrospheric Atmospheric Research Center, Nagoya University, UNESCO, 273 pp

    Google Scholar 

  • Tsuboki K (2008) High-resolution simulations of high-impact weather systems using the cloud-resolving model on the earth simulator. In: Hamilton K, Ohfuchi W (eds) High resolution numerical modeling of the atmosphere and ocean. Springer, New York, pp 141–156

    Google Scholar 

  • Tsuboki K, Yoshioka MK, Shinoda T, Kato M, Kanada S, Kitoh A (2015) Future increase of supertyphoon intensity associated with climate change. Geophys Res Lett 42:646–652. https://doi.org/10.1002/2014GL061793

    Article  Google Scholar 

  • Tsuboki K, Luo Y (2020) High-resolution simulations of heavy rainfalls in association with monsoon systems and typhoons using cloud-resolving models. In: The multiscale global monsoon system. World scientific series on Asia-Pacific weather and climate, vol 11, pp 113–131

    Google Scholar 

  • Tsujino S, Tsuboki K, Kuo HC (2017) Structure and maintenance mechanism of long-lived concentric eyewalls associated with simulated Typhoon Bolaven (2012). J Atmos Sci 74:3609–3634. https://doi.org/10.1175/JAS-D-16-0236.1

    Article  Google Scholar 

  • Tsujino S, Tsuboki K (2020) Intensity change of Typhoon Nancy (1961) during landfall in a moist environment over Japan: a numerical simulation with spectral nudging. J Atmos Sci 77:1429–1454. https://doi.org/10.1175/JAS-D-19-0119.1

    Article  Google Scholar 

  • Tsujino S, Kuo HC (2020) Potential vorticity mixing and rapid intensification in the numerically simulated Supertyphoon Haiyan (2013). J Atmos Sci 77:2067–2090. https://doi.org/10.1175/JAS-D-19-0219.1

    Article  Google Scholar 

  • Tsujino S, Tsuboki K, Yamada H, Ohigashi T, Ito K, Nagahama N (2021a) Intensification and maintenance of a double warm-core structure in Typhoon Lan (2017) simulated by a cloud-resolving model. J Atmos Sci 78:595–617. https://doi.org/10.1175/JAS-D-20-0049.1

  • Tsujino S, Kuo HC, Yu H, Chen BF, Tsuboki K (2021b) Effects of mid-level moisture and environmental flow on the development of afternoon thunderstorms in Taipei. Terr Atmos Ocean Sci 32:497–518. https://doi.org/10.3319/TAO.2021.11.17.01

  • Wang CC, Chen GTJ, Chen TC, Tsuboki K (2005) A numerical study on the effects of Taiwan topography on a convective line during the Mei-yu season. Mon Weather Rev 133:3217–3242

    Article  Google Scholar 

  • Wang CC, Chen GTJ, Yang SC, Tsuboki K (2009) Wintertime supercell thunderstorms in a subtropical environment: numerical simulation. Mon Weather Rev 137:2175–2202

    Article  Google Scholar 

  • Wang CC, Huang WM (2009) High-resolution simulation of a nocturnal narrow convective line off the southeastern coast of Taiwan in the Mei-yu season. Geophys Res Lett 36(6):L06815. https://doi.org/10.1029/2008GL037147

    Article  Google Scholar 

  • Wang CC, Chen GTJ, Huang SY (2011) 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

    Article  Google Scholar 

  • Wang CC, Kuo HC, Chen YH, Huang HL, Chung CH, Tsuboki K (2012) Effects of asymmetric latent heating on typhoon movement crossing Taiwan: the case of Morakot (2009) with extreme rainfall. J Atmos Sci 69:3172–3196

    Article  Google Scholar 

  • Wang CC, Kuo HC, Yeh TC, Chung CH, Chen YH, Huang SY, Wang YW, Liu CH (2013a) High-resolution quantitative precipitation forecasts and simulations by the cloud-resolving storm simulator (CReSS) for typhoon Morakot (2009). J Hydrol 506:26–41. https://doi.org/10.1016/j.jhydrol.2013.02.018

  • Wang CC, Chen YH, Kuo HC, Huang SY (2013b) Sensitivity of typhoon track to asymmetric latent heating/rainfall induced by Taiwan topography: a numerical study of Typhoon Fanapi (2010). J Geophys Res 118(D8):3292–3308. https://doi.org/10.1002/jgrd.50351

  • Wang CC, Hsu JCS, Chen GTJ, Lee DI (2014a) 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

    Google Scholar 

  • Wang CC, Hsu JCS, Chen GTJ, Lee DI (2014b) 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

    Google Scholar 

  • Wang CC, Kuo HC, Johnson RH, Lee CY, Huang SY, Chen YH (2015) A numerical study of convection in rainbands of Typhoon Morakot (2009) with extreme rainfall: roles of pressure perturbations with low-level wind maxima. Atmos Chem Phys 15:11097–11115. https://doi.org/10.5194/acp-15-11097-2015

    Article  Google Scholar 

  • Wang CC, Huang SY, Chen SH, Chang CS, Tsuboki K (2016) Cloud-resolving typhoon rainfall ensemble forecasts for Taiwan with large domain and extended range through time-lagged approach. Weather Forecast 31:151–172

    Article  Google Scholar 

  • Wang CC, Lin KY, Davis CA, Huang SY, Liu SCS, Tsuboki K, Jou BJD (2020) A modeling study on the impacts of Typhoon Morakot’s (2009) vortex structure on rainfall in Taiwan using piecewise potential vorticity inversion. J Meteorol Soc Jpn 98:707–733. https://doi.org/10.2151/jmsj.2020-036

    Article  Google Scholar 

  • Wang CC, Chang CS, Wang YW, Huang CC, Wang SC, Chen YS, Tsuboki K, Huang SY, Chen SH, Chuang PY, Chiu H (2021a) Evaluating quantitative precipitation forecasts using the 2.5 km CReSS model for typhoons in Taiwan: an update through the 2015 season. Atmosphere 12:1501. https://doi.org/10.3390/atmos12111501

  • Wang CC, Lin TC, Tsuboki K, Tsai YM, Lee DI (2021b) A modeling study of rainbands upstream from western Japan during the approach of Typhoon Tokage (2004). Atmosphere 12:1242

    Google Scholar 

  • Wang CC, Paul S, Huang SY, Wang, YW Tsuboki K, Lee DI, and Lee JS (2022a) Typhoon quantitative precipitation forecasts by the 2.5 km CReSS model in Taiwan: examples and role of topography. Atmosphere 13:623. https://doi.org/10.3390/atmos13040623

  • Wang CC, Chen SH, Tsuboki K, Huang SY, Chang CS (2022b) Application of time-lagged ensemble quantitative precipitation forecasts for Typhoon Morakot (2009) in Taiwan by a cloud-resolving model. Atmosphere 13:585. https://doi.org/10.3390/atmos13040585

  • Wang CC, Chuang PY, Chang CS, Tsuboki K, Huang SY, Leu GC (2022c) Evaluation of Mei-yu heavy-rainfall quantitative precipitation forecasts in Taiwan by a cloud-resolving model for three seasons of 2012–2014. Nat Hazards Earth Syst Sci 22:23–40. https://doi.org/10.5194/nhess-22-23-2022

  • Wang H, Sun J, Fan S, Huang X (2013) Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events. J Appl Meteorol Climatol 52:889–902. https://doi.org/10.1175/JAMC-D-12-0120.1

  • Wu L, Liang J, Wu CC (2011) Monsoonal influence on Typhoon Morakot (2009). Part I: observational analysis. J Atmos Sci 68:2208–2221

    Article  Google Scholar 

  • Xue M, Droegemeier KK, Wong V, Shapiro A, Brewster K (1995) Advanced regional prediction system, version 4.0. Center for Analysis and Prediction of Storms, University of Oklahoma, 380 pp

    Google Scholar 

  • Yamada H, Ito Tsuboki K, Shinoda T, Ohigashi T, Yamaguchi M, Nakazawa T, Nagahama N, Shimizu K (2021) The double warm-core structure of Typhoon Lan (2017) as observed through the first Japanese eyewall-penetrating aircraft reconnaissance. J Meteorol Soc Jpn 99:1297–1327. https://doi.org/10.2151/jmsj.2021-063

  • Yamaguchi K, Nakakita E (2008) Ensemble Kalman filter assimilation of Doppler radar data using the cloud resolving non-hydrostatic model with an aim to introduce polarimetric radar data assimilation. In: Proceedings of 7th international symposium on weather radar and hydrology, p 312

    Google Scholar 

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Acknowledgements

All CReSS codes were written by Mr. A. Sakakibara of Chuden CTI Co., Ltd.; further improvements were made by Mr. K. Hasegawa of Chuden CTI Co., Ltd. They are indispensable in the development and improvement of the CReSS. The author would like to thank them for their cooperation and big efforts. The author also appreciates Professor Chung-Chieh Wang of the National Taiwan Normal University for his collaboration using CReSS. The spectral nudging technique was implemented by Dr. S. Tsujino at the Meteorological Research Institute of JMA. 3DVAR DA was developed by Dr. S. Shimizu of the National Research Institute for Earth Science and Disaster Resilience. The Super-droplet Method was developed by Professor S. Shima of the University of Hyogo, and the calculation of clouds was performed by Mr. K. Moriki. Electrification and lightning processes were developed by Mr. H. Kaneko. The author is grateful for their cooperation. He also thanks Mr. M. Kato of Nagoya University for his kind assistance. Simulations and calculations were performed using the Earth Simulator of JAMSTEC and the mainframe computers of the Information Technology Center, Nagoya University. A part of the research of this text is supported by JSPS KAKENHI (Grant Numbers JP16H06311 and JP21H04992).

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Correspondence to Kazuhisa Tsuboki .

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Tsuboki, K. (2023). High-Resolution Simulations of Tropical Cyclones and Mesoscale Convective Systems Using the CReSS Model. In: Park, S.K. (eds) Numerical Weather Prediction: East Asian Perspectives. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-40567-9_19

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