Map of the Universe from Johns Hopkins University and others.....
Johns Hopkins University (JHU) continues to pad its space community résumé with their interactive map, “The map of the observable Universe”,
that takes viewers on a 13.7-billion-year-old tour of the cosmos from the present to the moments after the Big Bang.
While JHU is responsible for creating the site, additional contributions were made by NASA, the European Space Agency,
the National Science Foundation, and the Sloan Foundation.
JWST's weekly observing schedule:
NASA's Unverse of Learning
An Integrated AstroPhisics STEM Learning and Literacy program
Plate tectonics (from Latin tectonicus, from Ancient Greek τεκτονικός (tektonikós)
'pertaining to building')[1] is the scientific theory that Earth's lithosphere comprises
a number of large tectonic plates, which have been slowly moving since about 3.4 billion years ago.[2]
The model builds on the concept of continental drift, an idea developed during the first decades
of the 20th century. Plate tectonics came to be accepted by geoscientists after seafloor spreading
was validated in the mid-to-late 1960s.
USGS Reveals Why Offshore Faults Pose a Greater Tsunami Risk
In this video, we go beneath the Pacific to the offshore fault networks that can trigger tsunamis with little warning—
and why many of these systems are still poorly constrained.
We explain how USGS and NOAA combine seafloor sensors, satellites, and advanced simulations to model tsunami generation,
arrival times, and inland inundation.
We dive into the real danger: cascading ruptures where one fault slip loads another, potentially amplifying wave heights
and shrinking evacuation windows.
Finally, we show why “models aren’t predictions”—and why preparedness depends on adapting fast as new offshore data
redraws what “safe” really means.
00:00 Intro
02:47 Unseen Origins of Tsunami Threat
05:57 The Science of Tsunami Generation
09:26 When Faults Collide: Modeling the Chain Reactions
12:28 The Modelers’ Dilemma: Limits, Insights, and the Pressure to Predict
15:13 Early Warning in the Age of Real-Time Data: Progress and Pitfalls
18:11 What We Know, What We Don’t, and the Price of Assumptions
21:01 The Right Question
22:05 Where Models and Memory Collide
26:36 Outro
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