2385 papers
This paper audits marine survey archives on the Spanish Gulf of Cádiz shelf to demonstrate that while existing data supports local palaeolandscape interpretation and exposed-object verification, it lacks the necessary metadata, geometry, and controlled outcomes to definitively rule out the presence of preserved prehistoric contexts across the region.
This study utilizes high-resolution HYCOM data to demonstrate that seasonal variations in the Arabian Sea's subsurface ocean structure—specifically mixed-layer depth, stratification, and heat content—drive distinct spatial patterns in tropical cyclone genesis, intensity, and track characteristics between the pre-monsoon and post-monsoon seasons.
This study of Los Angeles reveals that Walk Score, a widely used accessibility metric, often diverges significantly from actual streetscape quality, systematically underestimating pedestrian disadvantages in lower-income neighborhoods where high paper-based walkability scores mask poor on-the-ground conditions.
This study analyzes the rapid conversion of Dhaka's green spaces and water bodies into built-up land from 1990 to 2021, revealing a 59.55% decline in ecosystem service value equivalent to an $85 million loss, while highlighting the critical yet spatially unequal and unprotected functions of the remaining natural areas.
This paper proposes and applies an objective, falsifiable methodology using historical meteorological analogues to verify storyline extreme event attribution results, finding that while machine learning-based estimates accurately capture global temperature influences on extreme heat in Southern and Central Europe, they are less effective for the Northern region.
This study develops and validates a coupled hydrodynamic–ecological modeling framework that integrates field observations with discharge data to quantify transboundary plastic pollution fluxes, revealing that while upstream sources contribute significantly, locally introduced pollution dominates the annual export and demonstrating that boundary detection alone is insufficient for attributing contamination origins.
This study utilizes ERA5 and CHIRPS data to demonstrate that the intensity of the Saharan Heat Low is a dominant driver of Cameroonian hydroclimatic variability, exhibiting a strong positive interannual correlation and a 3-to-8-day lagged response where extreme SHL deepening triggers regional precipitation surges while relaxation induces dry spells.
This study presents a probabilistic, deep learning-based framework that integrates 2D micro-XRF and 3D X-ray computed tomography data to generate accurate, uncertainty-aware three-dimensional mineralogical maps of drill cores, thereby enhancing geometallurgical characterization of the Nautanen North IOCG deposit.
The paper introduces S2BIOPHYS, a globally consistent 20 m resolution dataset of annual vegetation biophysical properties (LAIe, FAPAR, and FCOVER) for 2019–2025 derived from Sentinel-2 data via an optimized hybrid radiative transfer and neural network approach, which demonstrates high accuracy and supports diverse ecosystem monitoring applications.
This study develops a spatial coupling framework to diagnose "double vulnerability" in aging cities by integrating elderly pedestrian crash risk and hospital accessibility analysis in Seoul, identifying specific neighborhoods where high traffic danger and poor medical access converge to inform targeted urban governance interventions.