2353 papers
This study reports a statistically significant temporal overlap between global seismicity (magnitude >6.5) from 2010–2012 and independently derived planetary configuration dates, suggesting a non-random alignment that warrants further geophysical investigation despite the absence of an assumed physical coupling mechanism.
This study utilizes remote sensing data to analyze the spatiotemporal dynamics of ecological quality in Bangladesh's Sylhet Metropolitan Area from 2003 to 2023, revealing an initial period of improvement followed by significant degradation driven by rapid urbanization and policy variations.
This exploratory analysis of Bangladesh, Ethiopia, Niger, and Nigeria from 2000 to 2024 finds that state-based conflict is associated with a statistically significant 4.83 percentage point increase in childhood stunting prevalence overall, though descriptive patterns vary significantly across individual countries.
This study demonstrates that the smoothed representation of American mountain ranges in coarse-resolution climate models is a key source of errors in Pacific rainfall and warming patterns, which can be corrected by restoring realistic peak elevations to improve moisture transport, reduce spurious rain bands, and enhance low-cloud radiative cooling.
This study evaluates the environmental, social, and economic impacts of data centers on urban sustainability in the Los Angeles metropolitan area, revealing significant challenges such as noise pollution, exacerbated urban heat islands, and high energy consumption that threaten livability while offering policy recommendations for balancing digital growth with sustainable urban futures.
This study develops and validates a transparent, month-specific Multiple Linear Regression framework using bias-corrected NASA POWER satellite data to reliably estimate monthly rainfall across Java, Bali, Nusa Tenggara, and Maluku, offering a viable low-cost alternative for water-resource planning and disaster mitigation in Indonesia's data-sparse regions.
This study develops future Intensity-Duration-Frequency (IDF) curves for Hyderabad, India, by bias-correcting eight CMIP6 models and disaggregating their daily rainfall projections to hourly resolution using BLRP, MCC, and KNN-MOF methods, revealing a heightened risk of short-duration extreme rainfall under various climate scenarios through 2100.
This study demonstrates that a multi-layer perceptron neural network can successfully emulate the Holtslag–Boville planetary boundary layer turbulence parameterization in the BAM-1D model with high fidelity and numerical stability, offering a promising pathway for future hybrid physics–machine learning atmospheric simulations.
This study establishes an integrated ecological-socioeconomic evaluation framework to identify site-limiting factors and assess agroforestry quality across Yunnan's Karst rocky desertification zones, revealing that precipitation and agricultural output are primary constraints and proposing tailored, multilayer intercropping strategies that significantly enhance soil health and carrying capacity.
By integrating historical Chinese records with advanced climate models, this study reveals that the unprecedented peak in Western Pacific typhoon landfalls during the Maunder Minimum was driven by a combination of solar-induced climate shifts that strengthened basin-wide activity and synoptic-scale randomness that favored landfalling tracks.