Join open writing teams to collaborate on commentaries for a special collection describing approaches that embody synthesis, cross-disciplinary integration, and open science across geosciences.Read More »Geohealth
Researchers in Kentucky have merged results from home test kits with the state’s geologic map to produce a map of indoor radon potential based on the geology underlying homes in the state.Read More »
Machine learning is used to retrieve global snowfall occurrence and rate from satellite-based passive microwave sounder observations, trained by snowfall data from a high-quality space borne radar.Read More »Atmospheric Sciences
The experimental design used in climate vulnerability assessments can strongly influence the assessments’ findings and skew decisions about which factors are most important for informing adaptation.Read More »
The lack of clear references to and descriptions of data sets in published literature limits the usefulness of data, as well as the reproducibility and credibility of scientific findings.Read More »
Researchers used neural networks to better define the parameterizations necessary for modeling the distribution and characteristics of orographic gravity waves.Read More »Mathematical Geophysics
Tackling data challenges and incorporating physics into machine learning models will help unlock the potential of artificial intelligence to answer Earth science questions.Read More »Ocean Sciences
Videos de Twitter y YouTube ayudaron a los científicos a descubrir los mecanismos físicos que generaron el gran tsunami en Palu Bay después de un terremoto de magnitud 7.5.Read More »Geology & Geophysics
Classic interpretation of aeromagnetic anomaly maps involves several steps with limiting boundary conditions; a recent study develops convolutional networks largely bypassing these issues.Read More »
