The transdimensional Bayesian approach handles GPS data limitations better than existing methods and may assist future seismic hazard assessment studies.
Modeling
Call for Papers on Machine Learning and Earth System Modeling
Contributions are invited to a new journal special collection on the use of new machine learning methodologies and applications of machine learning to Earth system modeling.
Una mirada global al carbono orgánico superficial del suelo
El carbono orgánico del suelo es un elemento importante para la salud de los ecosistemas y del clima. En la actualidad la teledetección permite a los científicos observar globalmente esta importante pieza del rompecabezas del carbono.
Combining Deep Learning Methods with Process-based Models
Using turbulent heat fluxes as an example, a new study shows that exchange of information between process-based models and deep learning methods may lead to improved predictions.
A New Model for Self-Organized Pattern Formation
Scale-dependent feedbacks in time, rather than in space, result in a new type of competition, explaining the regularly patterned landscape of Big Cypress National Preserve in South Florida.
Modeling Urban-Weather Effects Can Inform Aerial Vehicle Flights
Microscale modeling can be used to understand and predict urban weather with sufficient detail to inform and support flight safety for crewed and uncrewed aerial vehicles.
Raising Central American Orography Improves Climate Simulation
Elevation of Central American orography significantly reduces the pervasive tropical rainfall bias by blocking the easterlies and consequently warming the northeastern tropical Pacific.
Species of Feces Help Phytoplankton Feed Itself
The unicellular plants more readily take up iron in the presence of salp feces than in krill feces, an experiment in Antarctica reveals.
Earthquake Rupture Solution is Up in the Air
Perhaps the most complex earthquake rupture ever studied is further constrained by signals from Earth’s ionosphere.
Scientists Hope Atmospheric Modeling Can Predict Meteotsunamis
The first extensively documented air pressure–driven meteotsunami on one of the Great Lakes presents an opportunity to use existing weather models to predict when these potentially deadly waves will strike.
