RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).
From 07/10/2025 to 07/10/2025, a Tropical Storm (maximum wind speed of 148 km/h) JERRY-25 was active in Atlantic. The cyclone affects these countries: Antigua and Barbuda, Anguilla (vulnerability Medium). Estimated population affected by category 1 (120 km/h) wind speeds or higher is 0 (0 in tropical storm).
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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).
In-brief analysis
October 7, 2025
The United States is well stocked with propane heading into the winter. For the week ending September 26, U.S. propane inventory was 103 million barrels, about 13 million barrels more than the previous five-year average for this time of year, based on data in our Weekly Petroleum Status Report.
Propane inventories reflect supply and demand balances. Propane demand is greatest in the winter months because propane is used as the main heating fuel in about 5% of U.S. homes, primarily in the northern parts of the Midwest and Northeast. For propane supply, propane gas plant production increased 5% in the first seven months of this year compared with the same period in 2024.
U.S. propane inventories typically increase from April through September, when there is less demand, and decrease from October
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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).
Researchers at Columbia have created a chip that turns a single laser into a “frequency comb,” producing dozens of powerful light channels at once. Using a special locking mechanism to clean messy laser light, the team achieved lab-grade precision on a small silicon device. This could drastically improve data center efficiency and fuel innovations in sensing, quantum tech, and LiDAR.
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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).
Job Description
The iSMART Laboratory (https://web.stevens.edu/ismart/), part of the Department of Civil, Environmental, and Ocean Engineering (CEOE) at Stevens Institute of Technology, invites applications for a Research Assistant position in the field of remote sensing, with a focus on radar image analysis.
The successful candidate will contribute to cutting-edge research projects in environmental monitoring and hydrology. The role involves developing and applying advanced machine learning algorithms for processing and analyzing complex radar and remote sensing datasets, collaborating with interdisciplinary research teams, and contributing to peer-reviewed publications.
Qualifications
Strong background in remote sensing and radar image analysis
Demonstrated experience with machine learning techniques for image processing
Proven ability to work with large and complex datasets
Track record of authored or co-authored scholarly publications is highly desirable
For consideration, submit your application via our Workday Career
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