2455 papers
This study utilizes ERA5 data and a multi-index framework to characterize the spatiotemporal variability of precipitation extremes in North Sumatra from 2011 to 2025, revealing that recent years, particularly 2023–2025, exhibited significant and spatially heterogeneous anomalies that cannot be captured by annual rainfall totals alone.
This study demonstrates that brine chemistry fundamentally dictates the microstructure of brinicles and the spatial distribution of cellular proxies, revealing that calcium chloride promotes localized entrapment near the inner channel while sodium chloride enables uniform distribution, thereby highlighting the critical role of ocean composition in assessing habitability on icy ocean worlds.
This study develops an optimized deep learning framework using LiDAR-derived data and a Base U-Net architecture to effectively map historic surface mines in the forested Appalachian terrain, demonstrating that simpler models can outperform complex networks in avoiding over-segmentation while achieving an 81.4% overall accuracy.
This study demonstrates that Chinese privet invasion in southeastern US forests significantly reduces both soil organic carbon and tree biomass carbon by over 40% compared to uninvaded areas, highlighting the critical need for invasive species management to preserve carbon sequestration in temperate forests.
This paper introduces and validates an isotherm-slope method that utilizes fiber-optic distributed temperature sensing (DTS) data to estimate wellbore flow profiles and stage-scale partitioning in enhanced geothermal systems without requiring repeated logging interventions or calibrated thermal properties.
This paper investigates wellbore blockage caused by coal powder ejection in mining-disturbed surface wells and demonstrates that while high-pressure gas flushing and standpipes have limited effectiveness, installing a 1.0 mm metal mesh filter around the slotted pipe successfully mitigates plugging while maintaining high gas drainage efficiency.
This study adapts the Elittoral methodology by integrating participatory GIS, Sentinel satellite imagery, and educational initiatives to monitor and manage sustainable coastal landscapes, revealing distinct erosion and salinisation trends in Mediterranean and Atlantic regions while enhancing civic engagement and risk awareness.
This study evaluates China's 19 national-level adaptation policies (2007–2024) using a multi-hazard risk framework, revealing that while objective setting is strong, overall policy quality remains low due to significant gaps in resource capacity and decision-making, though a statistically significant improvement has emerged since 2015.
This study characterizes the distinct seasonal evolution and teleconnection impacts of central versus eastern Pacific La Niña events, demonstrating that differentiating between these types is crucial for understanding their unique ocean-atmosphere interactions and resolving uncertainties regarding prolonged La Niña impacts under future climate warming.
This study demonstrates that applying Super-Resolution Gaussian Process Regression with a Steering Kernel (SRGP-SK) to radar/rain gauge–analyzed precipitation effectively reconstructs finer convective structures and achieves higher structural similarity and spectral resolution compared to both standard SRGP and bicubic interpolation, though further validation across more cases is needed for broader application.