anomalies

Monthly Dipole Mode Index (DMI) correlations with total precipitation over the Middle East. Significant correlations are shown in color using a student t-test at the 5% significant level. The correlation is most notable in October. Credit: Scientific Reports (2024). DOI: 10.1038/s41598-024-53677-x A new study led by Dr. Assaf Hochman from the Institute of Earth Sciences at the Hebrew University of Jerusalem sheds light on the…

By Lindsey Doermann, NASA Earth Observatory December 5, 2023 Satellite image of Erta Ale volcano in Ethiopia acquired on November 27, 2023, by the OLI (Operational Land Imager) on Landsat 8 Erta Ale, in the East African Rift, is Ethiopia’s most active volcano. The heat is always on at Erta Ale volcano in Ethiopia. In East Africa’s Danakil (or Afar) Depression, three tectonic plates are pulling apart from each other, allowing magma to rise to the surface and feed several active volcanoes. Erta Ale is located in this…

The Arctic warming and sea ice melting. Credit: Jean-Christophe ANDRE "Warm Arctic—cold Eurasia" is one of the most significant patterns of winter climate system changes in the mid-high latitudes of the Northern Hemisphere. In winter 2020/21, this large-scale pattern underwent a significant and intense subseasonal reversal between the early and late winter. At the same time, the sea-ice anomalies in the Barents–Kara Sea…

Credit: Unsplash/CC0 Public Domain The Philippine Sea (PS) is one of the regions with the strongest interannual variability in sea level and upper-layer circulation. During the developing stage of El Niño events, the Philippine Sea shows sea level falling and cyclonic circulation anomaly. However, El Niño is complex, causing diverse Philippine Sea responses across individual events. …

Crypto fraud detection with ChatGPT is a novel approach to identifying suspicious patterns Crypto anomalies are trends or occurrences that are unusual or anomalous in the cryptocurrency market. These deviations from the norm may take the form of unusual price changes, abrupt increases or decreases in trading volume, irregularities in network activity, security breaches, market manipulation, or any other unexpected behavior.  Market players can endeavor to create a more steady and predictable trading environment by…

Advanced “deep sequencing” of patients’ genomes by Children’s Hospital of Philadelphia (CHOP) researchers has unveiled previously undetected genetic variants connected to vascular anomalies. The discovery led to tailored therapies, improving the condition of over 60% of patients and paving the way for future non-invasive diagnostic techniques for such life-threatening conditions.The study captured genetic variants at extremely low levels, and dozens of patients began new therapies as a result of the findings.Researchers…

Image from simulation of ice XVIII. Oxygen ions (red) occupy a regular crystal lattice, while protons (white) diffuse like a liquid. Credit: Maurice de Koning & Filipe MatusalémA key aspect of the study was the deployment of density functional theory (DFT), a method derived from quantum mechanics and used in solid-state physics to resolve complex crystalline structures.Researchers used density functional theory to study the mechanical properties of superionic ice, or ice XVIII, a crystalline phase of water believed to…

North- and south-type North Pacific SST anomalies in winter. Credit: Wenshou Tian Previous studies have found that phase changes in the sea surface temperature (SST) of the North Pacific can modulate the variations in the stratospheric polar vortex (SPV) in the Arctic, which is a circulation of winds high up in the stratosphere with strong impacts on regional weather patterns. …

An example use case of using Variational Autoencoders (VAE) to detect anomalies in all types of dataPhoto by JJ Ying on UnsplashIn an earlier post, I explained what autoencoders are, what they are used for and how to leverage them in training an anomaly detection model. As a reminder, autoencoders are a type of neural network that are commonly used for dimensionality reduction and learning features. They are also commonly used for anomaly detection, as they can learn to reconstruct normal data, but may struggle to…

Small, frozen, and silent, the Moon has a surprising distribution of magnetic fingerprints across its dusty surface, not all of which are easy to explain away.A new study led by geoscientist Zhuang Guo of the Chinese Academy of Sciences' Institute of Geochemistry could help us better understand unusually strong magnetic field readings that don't fit with other characteristics of the Moon.Guo's team analyzed lunar soil returned to Earth in December 2020 by the Chang'e 5 probe, uncovering particles of a mineral known as…