Fourier neural operator solvers accurately emulate particle-resolved direct numerical simulations and significantly reduce the computational time by two orders of magnitude.
Editors’ Highlights
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Where and How Sea-Level Rise Threatens Coastal Areas and Communities
To better understand how sea-level rise threatens coastal areas, scientists propose a new indicator to estimate the risk of coastal flooding under climate change.
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A Strong Pacific Plate Bends Under the Hawaiian Volcanic Chain
Two seismic studies reveal the volcanic loads and resulting flexure of the Pacific plate at the Hawaiian Ridge and, surprisingly, show no magmatic underplating.
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Using Satellite Observations for Attribution of Radiation Changes
Analysis of infrared satellite measurements identifies the climate response to an increase in greenhouse gases in the atmosphere.
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Speed of Ice Shelf Rifting Controlled by Ocean-Ice Interactions
Scientists report the fastest rate of rift extension yet observed for an Antarctic floating ice shelf and explain why it is far slower than rates expected for brittle ice deformation.
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New Insights on Atmospheric Waves from the Hunga Volcanic Eruption
High temporal resolution geostationary imagery reveals new details of atmospheric waves generated by the January 2022 Hunga volcanic eruption and provides a chronology of the eruption sequence.
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Preparing to Meet a Metal-Rich Asteroid
The recently launched ‘Psyche’ mission will explore the eponymous asteroid and determine whether it is a fragment of a planetary core or a primordial, metal-rich body.
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What Happens to Nutrients After They Leave Agricultural Fields?
To better quantify the fate of nutrients after they are released from agricultural fields, scientists examine storage and nitrate export regimes in agricultural hydrology systems.
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Going Through a Rough Patch: Modeling Sediment Moving in Rivers
Irregularities of the rocky surface due to bumps and sediment patches are key to capturing the movement of sediment grains in rivers.
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Deep Learning Facilitates Earthquake Early Warning
A deep learning model trained with real-time satellite data significantly reduces the time to predict the ground motion of big earthquakes.