2353 papers
This study utilizes vertical wind-tunnel experiments to demonstrate that collision-induced oscillations in atmospheric-sized water drops significantly alter their shapes and polarimetric radar signatures, particularly during high-collision events like Category-1 hurricanes.
This study evaluates the performance of WestWRF and HRRR mesoscale weather models in forecasting hourly rainfall triggering postfire debris flows in California, finding that while both models reliably predict the occurrence of threshold rainfall within 24 hours, they consistently underestimate the intensity of extreme events.
This study demonstrates that cultivating diverse herbaceous perennials in Northeast China significantly improves soil physicochemical properties, with *Pseudolysimachion spicatum* identified as the most effective species for enhancing soil aggregate stability, nitrogen availability, and microbial biomass carbon.
This study demonstrates that in forests affected by 350 years of metal smelting, soil carbon storage is primarily predicted by the recovery of bryophyte-dominated vegetation and depth-organized nitrogen cycling rather than by the distance from the source or the remaining metal contamination levels.
This study reveals that quasi-stationary Rossby waves, typically identified in seasonal-mean fields, also manifest as coherent daily-to-subseasonal events characterized by a distinct life cycle where wave centers remain longitudinally stable while their phase lines systematically rotate due to poleward variations in phase speed.
This study demonstrates that elevated CO₂ concentrations in the Yiluo River promote phosphorus immobilization through the formation of stable Fe/Al-P and Zn-P phases, thereby reducing endogenous eutrophication risk and enhancing fluvial carbon sequestration potential.
This study develops a comprehensive spatial drought vulnerability framework for India's Mahanadi River Basin by integrating a Copula-based Composite Drought Index with socio-environmental indicators, achieving high predictive accuracy to identify critical hotspots and guide targeted water-resource management.
This study of California census tracts reveals that while the CDC/ATSDR Social Vulnerability Index is widely used for climate policy, it shows only a weak overall spatial correlation with heat exposure, with significant variations depending on specific subregions and latent class groupings.
This study demonstrates that distributed acoustic sensing on existing submarine telecom cables can detect minute open-ocean tsunami signals, enabling the reconstruction of wavefields and the provision of 5 to 15 minutes of early warning for coastal impacts.
This paper introduces a model-agnostic Physics-Residual Learning framework that, when combined with few-shot calibration and diversity-oriented active sampling, significantly enhances the accuracy and stability of cross-geological Uniaxial Compressive Strength (UCS) predictions while reducing the need for destructive testing by over 90%.