A5065257081- Climate variability and models
- Oceanographic and Atmospheric Processes
- Atmospheric and Environmental Gas Dynamics
- Tropical and Extratropical Cyclones Research
- Groundwater and Isotope Geochemistry
- Marine and coastal ecosystems
- Geophysical Methods and Applications
- Structural Health Monitoring Techniques
- Video Surveillance and Tracking Methods
- Groundwater flow and contamination studies
- Methane Hydrates and Related Phenomena
- Rock Mechanics and Modeling
- Ocean Waves and Remote Sensing
- Infrastructure Maintenance and Monitoring
- Atmospheric Ozone and Climate
- Remote-Sensing Image Classification
- Automated Road and Building Extraction
Nanyang Technological University
2024-2025
Earth Observatory of Singapore
2024-2025
National Satellite Ocean Application Service
2021
Ministry of Natural Resources
2020-2021
Second Institute of Oceanography
2020
Abstract Precipitation isotopes are valuable tracers for understanding the hydrologic cycle and climate variations. Distinct from d‐excess, 17 O‐excess has recently emerged as a promising new tracer of precipitation processes because its insensitivity to moisture source temperature. However, control mechanisms on remain poorly understood. In this study, we evaluated performance GISS‐E2.1 model in simulating isotopes, focusing O‐excess. Through comprehensive analysis, explored how variations...
High-resolution satellite observations of sea surface temperature (SST) were used to derive the daily SST fronts and monthly frontal probability (FP) in South China Sea (SCS). A gradient-based detection method was applied increase accuracy for identification. The current study offered a comprehensive description variability front associated dynamics SCS. Large found along coast Vietnam, northwest Luzon Island, corresponding seasonal cycle captured highest (lowest) values winter (fall). wind...
Abstract The Kuroshio intrusion (KI) is a northwestward‐flowing branch of the Current, which enters South China Sea (SCS) and regulates its temperature, salinity, water mass exchanges. However, limited direct observations hinder our understanding KI's mechanisms responses to climate change. Here, we present 60‐year bi‐monthly resolved coral oxygen isotope (δ 18 Oc) record from Dongsha Atoll, northern SCS. dry‐season (December–March) δ Oc reveals interannual decadal variabilities KI. impact...
Abstract In this study, we analyzed the ocean surface wind speed dependence of off‐nadir data from Surface Waves Investigation and Monitoring (SWIM) aboard Chinese‐French Oceanography Satellite (CFOSAT). When were analyzed, SWIM normalized radar cross section (NRCS) at most incidence angles decreased along NCEP Global Forecast System speed. This trend is consistent with that in a Ku‐band geophysical model function low (KuLMOD2S), although there was systematic bias between two. The...
Abstract Ground rupture due to groundwater pumping is a major environmental hazard accompanying land subsidence in some areas. ruptures usually develop when significant compaction affects sedimentary sequence with peculiar geological conditions, for example, the presence of shallow bedrock buried ridges. A laboratory test was developed aim at improving our understanding mechanisms responsible generation this particular hydrogeological setting, typical, instance, Guangming village, China....
Abstract Despite the recent recognition of 17 O‐excess as a promising new tracer for hydrological processes, our knowledge control mechanisms underlying in tropical regions remains limited. To understand how microphysical processes during convection affect precipitation isotope ratios, particularly O‐excess, Singapore, we collected samples at minute intervals from six rain events associated with cold surges Northeast Monsoon seasons and analyzed their triple oxygen isotopes. Our results show...
Abstract. Extracting land cover information from satellite imagery is of great importance for the task automated monitoring in various remote sensing applications. Deep convolutional neural networks make this more feasible, but they are limited by small dataset annotated images. In paper, we present a fully architecture, FPN-VGG, that combines Feature Pyramid Networks and VGG. order to accomplish classification, create pixel-wise images, employ transfer learning step variant dice loss...