Donglei Shi

ORCID: 0000-0002-0566-2295
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About
Contact & Profiles
Research Areas
  • Tropical and Extratropical Cyclones Research
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Ocean Waves and Remote Sensing
  • Marine and environmental studies
  • Computational Physics and Python Applications
  • Evaluation Methods in Various Fields
  • Remote Sensing and Land Use
  • Flood Risk Assessment and Management
  • Environmental and Agricultural Sciences
  • Seismology and Earthquake Studies
  • Aquatic and Environmental Studies

China University of Geosciences
2023-2024

Chinese Academy of Meteorological Sciences
2021-2023

Institute of Atmospheric Physics
2020-2022

Chinese Academy of Sciences
2020-2022

University of Chinese Academy of Sciences
2020-2021

Nanjing University of Information Science and Technology
2018-2019

Abstract The post-landfall decay of tropical cyclones (TC) is often closely linked to the magnitude damage environment, properties, and loss human lives. Despite growing interest in how climate change affects TC decay, data uncertainties still prevent a consensus on changes rates related precipitation. Here, after strict data-quality control, we show that rate TCs making landfall China has significantly slowed down by 45% from 1967 2018. We find that, except warmer sea surface temperature,...

10.1038/s41612-024-00655-9 article EN cc-by npj Climate and Atmospheric Science 2024-05-03

Abstract The relationship between tropical cyclone (TC) rapid intensification (RI) and the distribution of inner‐core precipitation preceding RI is reexamined using satellite‐based measurements best‐track data. TCs experiencing (RITCs) are classified into weakly, moderately highly asymmetric categories according to 25th 75th percentiles an objective asymmetry index. Composite results indicate that weakly‐to‐moderately RITCs experience axisymmetrization before RI, resulting from increased...

10.1029/2023gl104810 article EN cc-by-nc Geophysical Research Letters 2023-09-07

Abstract The implication of outflow structure for tropical cyclone (TC) rapid intensification (RI) is investigated via a climatological study using the best track, reanalysis, and infrared brightness temperature data during 1980–2019. Composite analyses are performed in shear-relative framework RI events under different strengths environmental shear. Results show that moderate (4.5–11 m s −1 ) or strong (>11 shear onset follows significant increase upper-level upshear storm, which...

10.1175/mwr-d-21-0141.1 article EN Monthly Weather Review 2021-11-10

In this study, the monthly cycle of tropical cyclone (TC) rapid intensification (RI) ratio and its climate controlling factors are investigated. The TC RI is greatest in late fall season, although both total frequency samples largest peak summer season. environmental conditions examined to identify possible factors, including mean locations, ambient relative vorticity, vertical profiles atmospheric ocean temperatures. Consistent with previous studies, lower latitude location pronounced...

10.1002/asl.814 article EN cc-by Atmospheric Science Letters 2018-04-01

Abstract The rapid intensification (RI) of supertyphoon Lekima (2019) is investigated from the perspective balanced potential vorticity (PV) dynamics using a high-resolution numerical simulation. PV budget shows that inner-core anomalies (PVAs) formed during RI mainly comprise an eyewall tower generated by diabatic heating, high-PV bridge extending into eye resulting mixing, and upper-tropospheric core induced intrusion stratosphere. inversion total PVA at end captures about 90% changes in...

10.1175/jas-d-20-0383.1 article EN Journal of the Atmospheric Sciences 2021-05-19

This study investigates the impacts of two different El Niño scenarios, east Pacific warming (EPW) and central (CPW), on tropical cyclone (TC) rapid intensification (RI) in western North (WNP). The ratio TCs with at least one RI occurrence (RITC) to all TC numbers (RITC ratio) shows monthly variations between groups. Higher RITC is found during July–October (November–December) for EPW (CPW) years. Further analyses indicate that difference attributed differences genesis locations, tracks...

10.1002/joc.6338 article EN International Journal of Climatology 2019-10-04

Abstract This study investigates how the asymmetric inner‐core convection can modulate midlevel ventilation preceding rapid intensification (RI) of sheared tropical cyclones (TC) based on two numerical experiments Typhoon Lekima (2019) with warm (CTL) and relatively cool (SSTA0) sea surface temperatures (SSTs). The is dominated by an inflow layer between heights 5 10 km in upshear‐left quadrant, while convective development quadrant acts to induce outflow. These outflows, together reduced...

10.1029/2022jd037952 article EN Journal of Geophysical Research Atmospheres 2023-03-23

The tropical oceans spawn hundreds of disturbances during the cyclone (TC) peak season every year, but only a small fraction eventually develop into TCs. In this study, using observations from Global Precipitation Measurement (GPM) satellite, over western North Pacific (WNP) July to October 2014–2016 are categorized developing and nondeveloping groups investigate differences between satellite-retrieved convective stratiform precipitation properties in both inner-core (within 200 km...

10.2151/jmsj.2020-056 article EN cc-by Journal of the Meteorological Society of Japan Ser II 2020-01-01

This study investigates the potential impacts of multi-timescale atmospheric modes on tropical cyclone (TC) abrupt track turnings over western North Pacific during period 2000-2016. The composite large-scale environmental flow patterns sudden right-turning (SRT) and left-turning (SLT) TCs show that SRT process is generally accompanied by continuous deepening westerly trough, weakening eastward retreat subtropical high favoring strengthening asymmetric southwesterly around TC center, while...

10.3389/feart.2020.00309 article EN cc-by Frontiers in Earth Science 2020-07-17

Proper configuration of the physical parameterization scheme is important for accurate outcomes mesoscale weather forecasting model. This study evaluates performance four distinct cumulus schemes: Kain-Fritsch (KF), Grell 3D ensemble (GR3D), Modified Tiedtke (MTIEDKE) and (MKF) schemes, in simulating Tropical Cyclone Idai (2019) Southern Indian Ocean. Utilizing Weather Research Forecasting (WRF) model data from IBTrACS best track IMERG precipitation datasets, research assesses models'...

10.2139/ssrn.4700953 preprint EN 2024-01-01

10.1016/j.dynatmoce.2019.03.002 article EN Dynamics of Atmospheres and Oceans 2019-03-20
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