2485 papers
The authors developed ILS-Japan-1km, a high-resolution (1 km) integrated land surface model coupling MATSIRO and CaMa-Flood to simulate terrestrial physical processes over Japan for assessing climate change impacts and informing adaptation strategies.
This study employs an integrated modeling approach to demonstrate that while China's urban building floor area will continue to grow through 2060, future thermal energy demand will vary significantly across its 336 cities due to diverse socioeconomic and climate drivers, necessitating tailored policies that leverage compact urban development and energy efficiency to mitigate the substantial shifts caused by global warming.
This paper evaluates five regression-based machine learning models using historical data from Nepal's Sikta Weather Station to identify XGBoost as the most accurate predictor for forecasting heavy rainfall and drought, thereby supporting improved agricultural planning and water resource management in rural areas.
This study employs coupled nonlinear differential equations and deep learning to model the interplay between carbon cycle disruption and ocean warming, revealing critical tipping points and bifurcation mechanisms that determine whether coral reef ecosystems face extinction or potential recovery.
This study demonstrates that Trash Free Trails citizen science volunteers produce consistent and accurate single-use pollution survey data regardless of their experience, training, or scientific background, although detectability varies significantly by item type and potential improvements to training resources could further enhance categorization accuracy.
This study of Belgian adults aged 60 and over from 2002 to 2019 reveals a significant educational gradient in heat-related mortality, where individuals with lower educational attainment face disproportionately higher risks during extreme heat events, highlighting the need for targeted policies addressing individual-level vulnerabilities rather than geographic factors alone.
This paper presents a harmonized dataset of direct, supply-chain, and systemic environmental intensity for 6,781 sectors across 44 countries and five Rest-of-World regions, utilizing thirteen indicators to demonstrate that while both sector characteristics and geographic context significantly influence environmental performance, sector effects account for a larger share of the observed variation.
This paper proposes a heuristic "Quasi-Non-Hydrostatic" (QNH) modeling framework that preserves horizontal diffusion of vertical velocity to realistically simulate deep convective plumes in regional ocean models, offering a computationally efficient compromise between standard hydrostatic approximations and full non-hydrostatic systems.
This paper introduces Trails, an open-source graph-matrix hybrid method that enables deep temporalisation in time-explicit life cycle assessment by propagating year-specific temporal dynamics throughout entire supply chains, demonstrating significant impacts on cumulative environmental scores and emission timing compared to static or foreground-only approaches.
Satellite observations reveal that Petermann Glacier in northern Greenland is undergoing rapid thinning, acceleration, and a major calving event driven by anomalously warm ocean waters and reduced sea ice, signaling a dynamic imbalance that threatens significant sea-level rise.