Results 251 to 260 of about 4,321,601 (325)

Mapping Philadelphia's Floodscape: A 35‐Year Analysis of Coastal Urban Flood Hazards and Drivers

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Low‐lying coastal urban cities face significant flooding risks from river flooding (fluvial), storm surges and high tides (coastal), and intense local rainfall (pluvial). Accurately assessing these hazards requires modeling frameworks capable of capturing both the individual and combined effects of multiple flood drivers, as well as the ...
Ning Sun, Youngjun Son, Cade Reesman, Xue Li, Mithun Deb, William Perkins, Zhaoqing Yang, Karthik Balaguru, David Judi   +8 more
wiley   +1 more source

A General Stiffness-Scaling Framework for Accelerating Graph-Theoretical Kinetic Monte Carlo Simulations. [PDF]

J Chem Theory Comput
Prats H, Li W, Stamatakis M.
europepmc   +1 more source

An Earth System Model Ensemble Forced With Probabilistic Emissions: Demonstration and Prospects for Climate Risk Assessment

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Future projections of climate change are uncertain, in part because of uncertainty in future greenhouse gas emissions. However, current widely used emission scenarios and related physical climate projections have no probabilities associated with them, presenting a challenge for risk‐informed climate adaptation decision making.
Jeremy Fyke, Neil C. Swart, David Huard
wiley   +1 more source

A High-Resolution Gridded Dataset for China's Monthly Sectoral Water Use. [PDF]

Sci Data
Zhang Y, Yin Y, Yin M, Zhang X.
europepmc   +1 more source

A Regionally Determined Climate‐Informed West Nile Virus Forecast Technique

GeoHealth, Volume 10, Issue 2, February 2026.
Abstract West Nile virus (WNV) infection has caused over 30,000 human cases of the severe, neuroinvasive form of the disease (West Nile virus Neuroinvasive Disease; WNND) and nearly 3,000 deaths in the U.S. Despite known links to observable climate factors, no effective nationwide WNV or WNND forecast exists.
Ryan D. Harp, Karen M. Holcomb, Stanley G. Benjamin, Benjamin W. Green, Hunter Jones, Michael A. Johansson   +5 more
wiley   +1 more source

High-resolution water footprints of major crops in China from cities to grids. [PDF]

Sci Rep
Zhao J, Wu L, Wang X, Yu Y, Huang K.
europepmc   +1 more source

Human–Environment Interactions in GeoHealth: Addressing Terrestrial Ecosystem Health, Land Degradation, and Carbon Management

GeoHealth, Volume 10, Issue 2, February 2026.
Abstract Global environmental changes have posed threats to ecosystems worldwide. Safeguarding terrestrial ecosystem health in particular is fundamental to achieving global sustainability targets, yet land degradation, carbon depletion and climate extremes continue to undermine resilience due to climate change and human activities.
Baijun Shang, Ranjay K. Singh, Yingui Cao, Tong Li   +3 more
wiley   +1 more source

Gazing into the flames: A guide to assessing the impacts of climate change on landscape fire. [PDF]

Sci Adv
Clarke H, Di Giuseppe F, Johnston L, Marlon J, Penman T, Pitman AJ, van der Werf GR, Flannigan MD.   +7 more
europepmc   +1 more source

Wind Control of the Interannual Ocean‐Biogeochemical Variability in the South Atlantic Bight

Journal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
Abstract In the South Atlantic Bight (SAB), changes in the Gulf Stream (GS), particularly its strength and proximity to the coast, are thought to be primary factors determining the shelf‐break upwelling rate. However, it is still not entirely clear if and to what extent those factors influence cross‐shelf nutrient fluxes and shape the ocean ...
Fabian A. Gomez, Andrew C. Ross, Sang‐Ki Lee, Denis Volkov, Dongmin Kim, Jasmin G. John, Charles A. Stock   +6 more
wiley   +1 more source

Quantitative Characterization of Gravel Bed Structures Using 2DSSFs and Machine Learning‐Based Surrogate Surface Generation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate characterization of gravel structures is essential for understanding riverbed roughness, flow resistance, and sediment transport. However, quantifying the definitive characteristics of these gravel structures remains challenging due to the inherent complexity of particle spatial arrangement. This study presents an improved statistical
Jie Qin, Teng Wu
wiley   +1 more source