Results 161 to 170 of about 32,547 (305)

Water Pathways Through a Mediterranean Catchment—Independent Evaluation of a Distributed Hydrological Model With a Geochemical Mixing Model

Hydrological Processes, Volume 40, Issue 10, October 2026.
We cross‐validated streamflow contributions of water from different origins (spatially and by flow‐generating processes) predicted by a spatially distributed hydrological model with a geochemical mixing model over a large range of hydrological conditions and at high temporal resolution. We found good agreement on patterns of contributions from overland
Nico Hachgenei, Flora Branger, Guillaume Nord, Matthieu Masson, Cédric Legout, Céline Duwig, Lorenzo Spadini, Sophie Darfeuil, Laure Jullien, Stéphane Boubkraoui, Armelle Crouzet, Marina Coquery   +11 more
wiley   +1 more source

Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy

International Journal of Climatology, Volume 46, Issue 12, October 2026.
This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti, Paolo Fiorucci, Antonello Provenzale   +2 more
wiley   +1 more source

Active Field Theory Approach to Explain Size Control of Transcriptional Condensates

Macromolecular Bioscience, Volume 26, Issue 10, October 2026.
Transcriptional condensates are highly dynamic but resist coarsening in living cells, and high‐resolution microscopy reveals an exponential size distribution in steady state. This size control might be related to reverse Ostwald ripening, a genuine non‐equilibrium mechanism that arrests coarsening.
Kathrin Hertäg, Samuel Shoup, Leonhard T. Thews, Radhika Khatter, Eugenio Ferrario, Joshua F. Robinson, Sina Wittmann, Sandra Schick, Thomas Speck   +8 more
wiley   +1 more source

Mesoscale Modeling of Titan’s Shangri‐La Region: The Impact of Surface Properties on Winds

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract The knowledge of Titan’s near‐surface atmosphere is sparse. The Huygens descent probe measured winds, and the multiple dune field observations and possible dust storms suggest active near‐surface dynamics. The Dragonfly rotorcraft lander will fly close to the surface in the Shangri‐La region, near the Huygens landing site, where complex dune ...
Maxence Lefèvre, Léa E. Bonnefoy, Aymeric Spiga, Bruno de Batz de Trenquelléon, Sébastien Lebonnois, Alexander G. Hayes   +5 more
wiley   +1 more source

Uncertainty in Precipitation Estimates Warrants Greater Consideration in Debris‐Flow Research

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Quantitative precipitation estimates (QPEs) may provide a valuable data resource for investigations of postfire debris flows. In mountainous regions where debris flows typically occur, gauge coverage can be sparse; gridded QPEs offer remotely sensed and/or physics‐based precipitation estimates where no direct measurement is available. However,
Ann E. Sinclair, Nina S. Oakley, A. Joshua West, Marin K. Clark, Daniel E. Horton   +4 more
wiley   +1 more source

Key Parameters for the Ionospheric Detection of Tsunamis From the 29 July 2025 Kamchatka Event

Journal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract It has been demonstrated that tsunamis generate internal gravity waves (GWs) detectable in the ionosphere within 20–60 min after their generation at the ocean surface. Despite numerous simulation and observation studies on ionospheric signatures of tsunamis, the detection of Co‐tsunamic Ionospheric Disturbances (CTIDs) and distinguishing them ...
Clélia Maréchal, Elvira Astafyeva, Lucie Rolland, Anthony Sladen, Boris Maletckii   +4 more
wiley   +1 more source

PhyTGNet: A Physics‐Prior‐Guided Interpretable Forecasting Method for Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract The sudden and localized nature of thunderstorm gusts makes pure data‐driven models struggle to maintain physical plausibility and interpretability, leading to nonphysical false alarms and spatial displacement in complex terrain. To address this, we propose PhyTGNet, a deep learning framework with embedded physics‐inspired guidance that ...
Zhaoyu Yan, Mingxuan Chen, Lu Yang, Lei Han, Linye Song, Xinze Li   +5 more
wiley   +1 more source

PREDICTION OF SEVERE THUNDERSTORMS WITH MINIMAL A PRIORI INFORMATION

A genetic algorithm (GA) is introduced to fix ranges of parameters, in a quantitative manner, pertaining to forecasting the genesis of severe thunderstorms in the pre-monsoon season over Calcutta (22°32′, 88°20′) in the northeastern part of India (20°–24°
SURAJIT CHATTOPADHYAY, SUTAPA CHAUDHURI
core  

Decentralized electric vehicle charging enables large-scale photovoltaic integration in tropical cities. [PDF]

Nat Commun
Zhou J, Dong T, Yang H, Yean S, Lee BS, Schläpfer M.   +5 more
europepmc   +1 more source

Developing an Object‐Based Climatology of Tornadic Storms Over the United States Using Machine Learning and Radar Reanalysis

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Tornado climatologies over the contiguous United States have traditionally relied on report‐based data sets, which are subject to biases related to population density, time of day, and evolving observational practices. This study presents an object‐based machine learning framework for constructing a tornado climatology using storm cluster data
Wenjun Cui, Kiel L. Ortega, Skylar S. Williams   +2 more
wiley   +1 more source