2443 papers
LakeRINO is a novel forecasting framework that leverages a Continuous-Time Neural Operator and diverse static and temporal features to convert irregular satellite altimetry data into accurate short-horizon lake-level predictions across China, with a demonstrated ability to specifically improve forecast precision during critical low-water anomalies.
This study of forest-dependent households and officials in Vietnam reveals a significant gap between high willingness to participate in forest-carbon pilots and the limited practical capacity to implement them, highlighting the critical need for targeted training, improved data infrastructure, and staged, performance-tested pilots before scaling up such initiatives.
This study of Indigenous Carib communities in St. Vincent and the Grenadines reveals that social infrastructure, including kinship ties and community organizations, is a more critical determinant of climate resilience and vulnerability than geographic remoteness, highlighting the need to strengthen social networks and local knowledge for effective disaster risk reduction.
This study uses a neural network trained on climate simulations to demonstrate that while only a small fraction of the world's land currently experiences temperatures permanently exceeding historical records at 1.5°C of warming, this area expands rapidly with further warming, committing a majority of the global population and most aboveground biomass to unprecedented local temperatures under current policy trajectories by 3°C.
This study combines acoustic profiling and sediment core geochemistry to estimate full-column post-glacial carbon stocks in two restricted Patagonian fjord basins, revealing that total basin inventories are approximately two orders of magnitude larger than surficial estimates and include a substantial inorganic carbon component.
By integrating seismic, infrasonic, and video observations, this study resolves the real-time dynamics of a rainfall-triggered lahar at Volcán de Fuego, revealing how channel morphology and a bedrock step modulate flow propagation, velocity, and sediment transport while demonstrating the efficacy of multi-sensor arrays for remote lahar monitoring.
This study integrates Vertical Electrical Sounding (VES) and Transient Electromagnetic (TEM) data, calibrated with borehole logs, to characterize a two-aquifer system and delineate groundwater flow patterns in the Gabal El-Nashfa area of Egypt's Western Desert, demonstrating a robust workflow for groundwater exploration in hyper-arid regions.
This study demonstrates that autumn sea surface temperature variability in the Kuroshio-Oyashio Extension region serves as an ENSO-independent precursor that significantly improves the seasonal prediction skill of winter California precipitation when combined with traditional ENSO indices.
This study demonstrates that initializing a climate model to accurately capture the North Atlantic Subpolar Gyre's low-frequency variability significantly extends the predictive skill for European summer climate, including temperature and heat extremes, up to 20 years ahead.
This study demonstrates that while Moringa-derived biochar enhances short-term moisture retention in Sudanese dryland soils irrigated with greywater, its sodium-rich chemistry introduces potential sodicity risks that necessitate a joint assessment of water, amendment, and soil properties before implementation.