A5090641029- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
- Tropical and Extratropical Cyclones Research
- Climate variability and models
- Marine and coastal ecosystems
- Geophysics and Gravity Measurements
- Hydrocarbon exploration and reservoir analysis
- Reservoir Engineering and Simulation Methods
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Geological Studies and Exploration
- Geochemistry and Geologic Mapping
- Marine and fisheries research
- Hydraulic Fracturing and Reservoir Analysis
- Coastal and Marine Dynamics
- Underwater Acoustics Research
- Hydrological Forecasting Using AI
- Microstructure and Mechanical Properties of Steels
- Land Use and Ecosystem Services
- Aluminum Alloy Microstructure Properties
- Remote Sensing and Land Use
- Coastal wetland ecosystem dynamics
- Stock Market Forecasting Methods
- Environmental Changes in China
- Arctic and Antarctic ice dynamics
Guangdong Ocean University
2019-2025
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2019-2025
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2019-2025
Northeastern University
2024
Nanjing University of Information Science and Technology
2015-2022
Second Institute of Oceanography
2011-2019
Ministry of Natural Resources
2019
Memorial University of Newfoundland
2019
Fisheries and Oceans Canada
2019
Jiangsu Normal University
2013
Oceanic eddies play an important role in global energy and material transport, contribute greatly to nutrient phytoplankton distribution. Deep learning is employed identify oceanic from sea surface height anomalies data. In order adapt segmentation problems for multi-scale eddies, the pyramid scene parsing network (PSPNet), which able satisfy fusion of semantics details, applied as core algorithm eddy detection methods. The results identified this artificial intelligence (AI) method are well...
Abstract Amongst the variety of oceanic processes running gamut spatiotemporal scales, mesoscale eddies are most common and often have region-specific characteristics. The large kinetic energy inherent to themselves is a strong modulator global climate, ocean circulation, productivity, freshwater transport. This study uses multi-source satellite remote sensing observation data construct multi-parameter eddy dataset for 1993–2019 period, which differs significantly from few previous published...
With the availability of petabytes oceanographic observations and numerical model simulations, artificial intelligence (AI) tools are being increasingly leveraged in a variety applications. In this paper, these applications reviewed from perspectives identifying, forecasting, parameterizing ocean phenomena. Specifically, usage AI algorithms for identification mesoscale eddies, internal waves, oil spills, sea ice, marine algae discussed paper. Additionally, AI-based forecasting surface El...
Abstract The Kuroshio Extension region is well known for its strong eddy activity. In this paper, using satellite altimetry‐measured sea surface height anomaly data from 1993 to 2012 in an extended (140–180°E, 25–45°N), we analyze characteristics: size, polarity, lifetime, intensity, trajectory, and spatial temporal distributions. Using temperature salinity vertical profiles measured by Argo floats, examine the impact on stratification. During 20‐year period, 7,574 eddies are identified...
Abstract Chlorophyll rings (CRs) are defined as elevated chlorophyll along eddy peripheries and have been observed in anticyclonic oceanic eddies occasionally. This study presents observations of CRs around both cyclonic from a large observational data set. An innovative algorithm is developed to identify satellite sea level anomalies near-surface concentration the North Pacific Ocean between 2003 2010. The results show that only 1% mesoscale associated with CRs, which implies not...
Surf during typhoon events poses severe threats to coastal infrastructure and public safety. Traditional monitoring approaches, including in situ sensors numerical simulations, face inherent limitations capturing surf impacts—sensors are constrained by point-based measurements, while simulations require intensive computational resources for real-time monitoring. Video-based offers promising potential continuous observation, yet the development of deep learning models detection remains...
The SCHISM model is widely used for ocean numerical simulations, but its computational efficiency constrained by the substantial resources it requires. To enhance performance, this study develops GPU–SCHISM, a GPU-accelerated parallel version of using CUDA Fortran framework, and evaluates acceleration performance on single GPU-enabled node. research results demonstrate that GPU–SCHISM achieves while maintaining high simulation accuracy. For small-scale classical experiments, GPU improves...
Mesoscale eddies are important to ocean circulation due their roles in the transport of mass, energy, and heat. This study employs a combination data sources initiate statistical analysis eddy spatiotemporal characteristics Bay Bengal (BOB) elucidate sea surface vertical structures impacts on chlorophyll (Chl) distributions. The results suggest that 1237 cyclonic (CEs) 1121 anticyclonic (AEs) were detected 26 years. number two polarities was almost same, most them spread west or southwest...
Recent years have witnessed the increase in applications of artificial intelligence (AI) into detection oceanic features. Oceanic eddies, ubiquitous global ocean, are important transport materials and energy. A series eddy schemes based on dynamics been developed while AI-based identification scheme starts to be reported literature. In present study, find out applicable detection, three algorithms employed including pyramid scene parsing network (PSPNet) algorithm, DeepLabV3+ algorithm...
Based on synthetic aperture radar (SAR) images, this study illustrates the characteristics of oceanic eddies in Luzon Strait and its adjacent seas. An eddy detection method is applied to 426 SAR frames (including European Remote Sensing satellite, ERS-2, Environmental Satellite, ENVISAT) from 2005 2011, 60 are identified. About 78% these have sizes smaller than 12 km, which local first baroclinic deformation radius, thus can be categorized as submesoscale eddies. Their polarities dominated...
The HY-2A (launched on 2011/8/16) is the first microwave marine remote sensing satellite from HY-2 series developed by China. It includes a dual-frequency altimeter in Ku and C-bands. In this paper, (1) significant wave height (SWH) data are corrected using collocated NDBC (U.S. National Data Buoy Centre) buoy compared with Jason-1/2 data; (2) fusion of SWH combination other altimeters (Jason-1/2 Envisat) given results one another; (3) merged HY-2A, Envisat used to analyze characteristics...
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Seawater transparency, one of the important parameters to evaluate marine ecological environment and functions, can be measured using Secchi disk depth (SDD). In this study, we use multi-source remote sensing data other fused from 2011 2020 study spatial distribution variation SDD off southeastern Vietnam. The monthly average in area has obvious seasonal characteristics shows a double peak characteristic. An observation is significant decrease transparency July September each year, which far...
The HY-2A, which was launched on 2011/8/16, is the first microwave marine remote sensing satellite developed by China. In this paper, significant wave height (SWH) data measured HY-2A altimeter were compared with observed Jason-1/2 as well buoys. It found that there a systematic error of 0.3-0.4 m between SWH obtained from and altimeters comparison indicated linear relationship buoys, could be used to calibrate better reflect real situation. Comparisons show results are good altimetry work data.
Sea surface temperature (SST) is one of the most important parameters in air–sea interaction, and its accurate prediction great significance study global climate change. However, SST affected by heat flux, ocean dynamic processes, cloud coverage, other factors, which means it contains linear nonlinear components. Existing models, especially single cannot effectively handle these components meantime, degrading their accuracy concerning SST. To remedy this weakness, paper proposes a novel...
The continuum macroscopic transport approach combined with a tabulated thermodynamic phase transformation path is established to predict the macrosegregation in Fe‐1.05 wt% C‐1.65 Cr hypereutectoid steel castings. A partial‐equilibrium (PE) and para‐equilibrium (PA) approximation developed retrieve steels. PA routine performed on both austenite stoichiometric cementite transition α‐ferrite eutectoid transformation. also applied hypoeutectoid alloy as well δ‐ferrite mushy zone. Thermodynamic...