Results 211 to 220 of about 1,736,042 (245)

On A Novel Estimation Method of Stickiness Parameter of Suspended Particles From Tank Experiments

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 10, October 2026.
Abstract Stickiness is a key factor in characterizing coagulation dynamics (aggregation or flocculation). Previous studies have developed methods for estimating constant stickiness parameters. These methods estimate the stickiness parameter based on the reduction rate of the number of particles observed in a simple stirred tank.
Keisuke Nishino, Yutaka Yoshikawa
wiley   +1 more source

Modeling the Redistribution of Dust Across the Martian Surface for Mars Years 24 to 36

open access: yesJournal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract Global Dust Events (GDEs) transport huge amounts of dust across the Martian atmosphere. GDEs occur only every few Mars Years (MYs), but the reasons behind this inter‐annual variability remain poorly understood. The question whether surface dust exhaustion and subsequent replenishment explain this variability remains open.
Demetrius Ramette   +3 more
wiley   +1 more source

In the Age of AI—Are National Models and Data Sets Still Important for Stream Flow Prediction?

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract Accurate streamflow prediction is critical for effective water resource management, and recent advances in deep learning and multi‐basin data sets have significantly improved model skill. Global deep‐learning models, trained on thousands of catchments have demonstrated strong generalization across diverse climates and continents.
Brett Snider, Ehsan Roshani
wiley   +1 more source

Can the Carbon Storage Function of a Degraded Mountain Wet Meadow Be Restored?

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 10, October 2026.
Abstract Sierra Nevada meadows experienced intense livestock grazing in the 19th century, resulting in a shift from deep‐rooted highly productive perennial clonal sedges to short‐lived and shallow‐rooted plants. The current meadow vegetation contains >20% bare ground and <10% cover of highly productive clonal sedges and rushes. We hypothesized that the
David J. Cooper   +6 more
wiley   +1 more source

Mass‐Conserving LSTM With Dual States for Streamflow Prediction: Separating Quickflow and Slow Storage

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We introduce a Mass‐Conserving Long Short‐Term Memory with Dual States (MC‐LSTM‐DS) with the intention of separating short‐ and long‐term memory for predicting streamflow. It enforces water balance through a new partition gate on precipitation.
Saurabh Toraskar   +3 more
wiley   +1 more source

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