Quoc-Phi Duong

ORCID: 0000-0001-5755-5750
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About
Contact & Profiles
Research Areas
  • Ocean Waves and Remote Sensing
  • Tropical and Extratropical Cyclones Research
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Oceanographic and Atmospheric Processes
  • Marine and fisheries research

Météo-France
2021-2023

Centre National de la Recherche Scientifique
2021-2023

Laboratoire de l'Atmosphère et des Cyclones
2021-2023

École Nationale de la Météorologie
2010

The ReNovRisk-Cyclone program aimed at developing an observation network in the south-west Indian ocean (SWIO) close synergy with implementation of numerical tools to model and analyze impacts tropical cyclones (TC) present a context climate change. This paper addresses modeling part program. First, unique coupled system simulate TCs SWIO is developed. ocean–wave–atmosphere coupling considered along coherent between sea surface state, wind field, aerosol, microphysics, radiation. illustrated...

10.3390/atmos12060689 article EN cc-by Atmosphere 2021-05-28

Tropical cyclone (TC) monitoring and forecast in the South West Indian Ocean (SWIO) basin remain challenging, notably because of lack direct observations. During 2018–2019 season, S-1 Sentinel SAR images were acquired, as part ReNovRisk-Cyclone research program, giving access to unprecedented detailed TC wind structure description without speed limitation. This paper assesses quality these data impact their assimilation for forecasts. observations are compared with analyses from a...

10.3390/atmos12050576 article EN cc-by Atmosphere 2021-04-29

Here we explore the latest four years (2019-2022) of using satellite data to objectively analyze tropical cyclones (TC) and issue recommendations for improved analysis. We first discuss new methods direct retrieval from SAR geostationary imagers. Next, survey some most prominent techniques in AI their major capabilities (especially accuracy nonlinear TC behavior, characterization model uncertainty creation synthetic imagery) limitations lack transparency limited amount training data). also...

10.1016/j.tcrr.2023.11.001 article EN cc-by-nc-nd Tropical Cyclone Research and Review 2023-11-30
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