A5085363761- Oceanographic and Atmospheric Processes
- Meteorological Phenomena and Simulations
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Reservoir Engineering and Simulation Methods
- Ocean Waves and Remote Sensing
- Flood Risk Assessment and Management
Second Institute of Oceanography
2021
Ministry of Natural Resources
2021
Imperial College London
2017-2021
Hohai University
2021
Satellite salinity data from the Soil Moisture and Ocean Salinity (SMOS) mission was recently enhanced, increasing spatial extent near coast that eluded earlier versions. In a pilot attempt we assimilate this into coastal ocean model (ROMS) using variational assimilation and, for first time, investigate impact on simulation of major river plume (the Congo River). Four experiments were undertaken consisting control (without assimilation) either sea surface height (SSH), SMOS combination both,...
Abstract The decay of landfalling tropical cyclones is important to the damage caused. We examine a simple physically based model maximum surface winds driven by frictional turbulent drag and modification accounting for partial complete land roughness. fits an algebraic with parameter determined ratio coefficient effective vortex depth. This has been decreasing from 1980 2018. There also global mean increase wind speed 24 h after landfall +1.13 m/s per decade. cannot exclude possibility that...
Abstract The forecast of tropical cyclone (TC) intensity is a significant challenge. In this study, we showcase the impact strongly coupled data assimilation with hypothetical ocean currents on analyses and forecasts Typhoon Hato (2017). Several observation simulation system experiments (OSSE) were undertaken regional ocean–atmosphere model. We assimilated combinations (or individually) coastal current HF radar network, dense array drifter floats, minimum sea level pressure. During...
Abstract A new ocean evaluation metric, the crossover time, is defined as time it takes for a numerical model to equal performance of persistence. As an example, average calculated using Lagrangian separation distance (the between simulated trajectories and observed drifters) global MERCATOR analysis found be about 6 days. Conversely, forecast has longer than days, suggesting limited skill in predictability by current generation models. The velocity error less 3 which similar decorrelation...
<p>The forecast of tropical cyclone (TC) intensity is a significant challenge.  In this study, we showcase the impact strongly coupled data assimilation with hypothetical ocean currents on analyses and forecasts Typhoon Hato (2017). </p><p>Several observation simulation system experiments were undertaken regional ocean-atmosphere model. We assimilated combinations (or individually) coastal current HF radar network, dense...