The ATRAP project in the Democratic Republic of Congo and Uganda provides insights to the factors that shape citizen science practice in low- and medium-income countries (LMIC).
Editors’ Highlights
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Timing of Geomagnetic Storms Shapes Their Impact
The impact of geomagnetic storms, which can disrupt satellites, GPS, and power grids, is shown to depend on their onset timing.
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Machine Learning Can Improve the Use of Atmospheric Observations in the Tropics
Scientists develop a novel machine learning-based technique that is equally effective in gaining information from observations about the unobserved state variables in the midlatitudes and tropics.
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Constructive Debate on the Rise of the Tibetan Plateau
A constructive debate on Himalayan tectonics shows how respectful scientific dialogue helps test competing ideas about how Earth’s highest plateau formed.
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How Sediment Magnetism Captures the South Atlantic Anomaly
Magnetic data from an ODP core deposited during normal secular variation (65-41 thousand years ago) off the Chilean margin help clarify geomagnetic field behavior in the South Atlantic Anomaly region.
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Machine Learning Could Enhance Earth System Modeling
Based on tests of a machine learning-based (ML) hybrid model, combining ML with established physics-based frameworks represents a promising path toward developing ML-based Earth system models.
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Resolved Storm-Environment Interactions: Linking Local to Global Scales
Kilometer-scale global climate models offer unprecedented possibilities to simulate thunderstorms and analyze how they interact with their environment across many scales, shaping the climate state.
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An Ancient Landscape Beneath the East Antarctic Ice Sheet
Geophysical observations of the subglacial topography of Coats Land reveal a landscape formed by tectonics and fluvial erosion that influenced the formation of the East Antarctic Ice Sheet.
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Taming the Seismicity Tsunami with a Scalable Bayesian Framework
By combining the power of artificial intelligence with advanced physics simulations, a new framework called “SPIDER” allows us to map seismic activity with unprecedented clarity.
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Using Distributed Acoustic Sensing (DAS) to Improve Lunar Seismic Monitoring
With the appropriate cable selection and deployment, unburied DAS is a viable technique for lunar seismic applications, enabling large-scale measurements without complex installation procedures.