Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

Correlating hydration mechanism and microstructure development to LC3 synergistic effect improvement in UHPC under hot-water curing condition

Limestone-calcined clay (LC3) can be used to prepare ultra-high performance concrete (UHPC) to reduce its environmental impact. However, the application is restricted because the synergistic effect of LC3 could not be fully activated under a high LC3 replacement ratio due to the...

Unraveling the spatial heterogeneity of pre-summer extreme rainfall regimes in South China using multi-dimensional joint clustering

Abstract The temporal evolutions of extreme rainfall (ER) events are highly dynamic. In addition, the destructive potential of ERs is fundamentally governed by multi-dimensional metrics, including rainfall accumulation, event duration, and intra-event rain-rate evolution. However...

Surface-to-volume physics-informed model for 3D mesoscale eddy detection: Multi-source multi-scale fusion

Mesoscale eddies play a crucial role in the ocean, and accurate detection of their three-dimensional (3D) structures is essential for understanding marine dynamics. However, 3D eddy reconstruction remains challenging: traditional methods provide limited pixel-level boundary delin...

A scene-mapped framework for deriving clear-sky surface longwave downward radiation from remotely sensed measurements

Accurate estimation of clear-sky surface longwave downward radiation (LWDR) is fundamental to surface energy budget studies, yet widely used parameterizations and conventional lookup-table (LUT) searches often suffer from regional biases and limited transferability. This study de...

AGPC: an Annual 500 m Gridded Population (1990–2020) for China incorporating 3D building volume dynamics

Gridded population datasets with long-term temporal coverage and fine spatial resolution are essential for earth system modelling, urban studies, and disaster risk assessment. However, existing population products often fail to adequately represent population distribution in vert...

A new data-driven model for rapid urban low-level wind field simulation using conditional generative adversarial networks

Rapid and accurate representation of urban low-altitude wind fields is essential for understanding urban wind environments, assessing ventilation performance, and supporting emerging low-altitude aviation applications. Conventional computational fluid dynamics (CFD) provides reli...

Achieve Medium‐Range SST Forecast by Rolling 1‐Day Deep Learning

Abstract Deep learning has revolutionized short‐term Sea Surface Temperature (SST) forecasting, but often struggles with cumulative error propagation and operational complexity in medium‐range predictions. To achieve lightweight and temporally continuous SST forecast, this study...

An interpretable multi-scale deep learning framework for dam displacement prediction and automated early warning of structural health monitoring

Accurate prediction of displacement and early warning are fundamental to dam structural health monitoring (SHM). Hydrostatic, thermal, and aging-related environmental drivers affect dam displacements at different response rates, leading to heterogeneous hysteresis effects. Existi...

Pronounced megafaunal community transition driven by polymetallic nodule cover in the Northwest Pacific abyss

Polymetallic nodules provide essential hard substrata for benthic fauna and are widely assumed to enhance biodiversity on abyssal plains. Yet, our understanding of how nodule cover shapes megafaunal communities remains limited and largely restricted to low nodule cover conditions...

An AI-driven reconstruction of global surface temperature with emphasis on refining the Antarctic record

Abstract. Accurate estimates of long-term surface temperature (ST) changes are fundamental not only for assessing observed warming, but also for improving the reliability of future climate projections. However, substantial missing information in global ST datasets, remains a majo...

Strong tropical cyclones have a more gradual increase trend through interaction with ocean subsurface

Understanding changes in global tropical cyclone (TC) intensity and their long-term trends is critical for enhancing societal resilience. Given their disproportionate impacts, shifts in strong TCs, which are defined here as Category 4 and above, are of particular concern. We exam...

Modulation of High‐Temperature Events in the Pearl River Delta by Tropical Cyclones With Different Track Types

ABSTRACT This study investigates how different tropical cyclone (TC) track types modulate high‐temperature events in the Pearl River Delta (PRD) of China and how these effects may change under global warming, using observational and reanalysis datasets together with high‐resoluti...

Two Modes of Self‐Organizing Development of Extreme Rainfall‐Producing Storms in South China

Abstract The convective‐scale dynamics of extreme rainstorms on monsoon coasts (South China) remain poorly understood. This study uses the advanced coupled model WRF‐Chem‐MOSAIC for a 90‐hr, 3‐km simulation, reasonably capturing the thermodynamic conditions, inhomogeneous near‐su...

Measurement report: Development of a portable peroxy radical measurement system and application for diagnosing local ozone formation and transport

Abstract. Atmospheric total peroxy radicals RO2* (RO2∗=HO2+∑RO2) play central roles in tropospheric chemistry, governing the formation of ozone and secondary aerosols. However, due to their extremely low concentrations and high reactivity, direct observation of RO2* remains chall...

Physiological, Transcriptomic, and Metabolomic Insights into Ammonia-Nitrogen Stress in the Hepatopancreas of Litopenaeus vannamei Acclimated to Low Salinity

Elevated ammonia nitrogen significantly reduces the survival rate of Litopenaeus vannamei under low-salinity conditions. Low-salinity culture is widely adopted in shrimp farming but susceptible to ammonia accumulation; however, relevant studies mainly focus on juvenile shrimp und...