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Categories: Geoscience: Oceanography, Mathematics: General

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Ongoing climate change driven by greenhouse gas emissions is often discussed in terms of global average warming. For example, the landmark Paris Agreement seeks to limit global warming to 1.5 degrees C, relative to pre-industrial levels. However, the extent of future warming will not be the same throughout the planet. One of the clearest regional differences in climate change is the faster warming over land than sea. This 'terrestrial amplification' of future warming has real-world implications for understanding and dealing with climate change.

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Protected marine areas are one of the essential tools for the conservation of natural resources affected by human impact -- mainly fishing --, but, are they enough to recover the functioning of these systems? A study now highlights the limitations of marine reserves in restoring food webs to their pristine state prior to the impact of intensive fishing.

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New global modelling predicts the devastating socioeconomic impacts of future extreme coastal flooding for developing nations caused by climate change, with Asia, West Africa and Egypt facing severe costs in the coming decades.

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In the course of five years, citizens who went on sailing cruises to the Arctic surveyed and collected plastic debris that had washed up on the shores of Svalbard. This has now been analyzed. According to the findings, one third of the plastic debris which still bore imprints or labels allowing an analysis of their origin came from Europe, and much of that number from Germany.

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Researchers have pinpointed two intervals when ice and ocean conditions would have been favorable to support early human migration from Asia to North America late in the last ice age, a new paper shows.

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The Arctic is rapidly losing sea ice, even during winter months when temperatures are below freezing and ice should be recovering from the summer melt. A new study found powerful storms called atmospheric rivers are increasingly reaching the Arctic in winter, slowing sea ice recovery and accounting for a third of all winter sea ice decline, according to a team led by Penn State scientists.

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If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.

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A mathematician was keen to forecast the evolution of the COVID epidemic. Instead, he ended up solving a problem which had troubled computer scientists for decades.

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A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.

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Mathematical analysis identifies a vortex structure that is impervious to decay.

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The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.

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With the theory that for every action, even those seemingly complex and random, there is a math problem that describes it, a researcher is publishing a new formula that helps find that equation quickly. Yes, he's speeding up science.

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Researchers have devised a computer-based platform for drug discovery that could make the process more effective, more efficient and less costly.

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Researchers have identified a new method for scheduling radiation therapy that could be as much as 22 percent more effective at killing cancer cells than current standard radiation treatment regimens.

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Coupling two approaches of game theory can shed light on how moral norms evolve.

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A new study by mathematicians shows that math borrowed from neuroscience can describe how swarms of these unique insects coordinate their light show, capturing key details about how they behave in the wild.

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Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is still a hard-to-solve problem. A new article presents a method to infer the dimensionality of complex networks through the application of hyperbolic geometrics, which capture the complexity of relational structures of the real world in many diverse domains.

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America was unprepared for the magnitude of the pandemic, which overwhelmed many counties and filled some hospitals to capacity. A new study suggests there may have been a mathematical method, of sorts, to the madness of those early COVID days.

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Music and arts classes are often first on the chopping block when schools face tight budgets and pressure to achieve high scores on standardized tests. But it's precisely those classes that can increase student interest in school and even benefit their math achievement, according to a new study.

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Policy makers assume that adding more detail to mathematical models will produce more accurate predictions, but that's not always the case, a new study shows.