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How a Theory about Climate Change Led to The Feminine Mystique - Vimarsana News

How a Theory about Climate Change Led to The Feminine Mystique

In 1958 Betty Friedan wrote an article that changed science journalism—and her career

The Importance of Archiving the Seafloor - Vimarsana News

The Importance of Archiving the Seafloor

Marine geological sample repositories are vital for ocean science, climate change studies, and more. The value of their collections is growing amid efforts to meet rising demand for their services.

Source: eos.org
Geologist Marie Tharp Mapped the Ocean Floor and Discovered a Rfit - Vimarsana News

Geologist Marie Tharp Mapped the Ocean Floor and Discovered a Rfit

In the 1950s, geologist Marie Tharp turned depth measurements into detailed maps of the ocean floor. It led to her discovery of the Mid-Atlantic rift.

Geologist Marie Tharp mapped the ocean floor and helped solve one of science's biggest controversies - Vimarsana News

Geologist Marie Tharp mapped the ocean floor and helped solve one of science's biggest controversies

In the 1950s, geologist Marie Tharp turned depth measurements into detailed maps of the ocean floor. It led to her discovery of the Mid-Atlantic rift.

Source: yahoo.com
New method predicts extreme events more accurately: Columbia Engineers develop machine-learning algorithm to better understand and mitigate the impact of extreme weather events, which are becoming more frequent in our warming climate. - Vimarsana News

New method predicts extreme events more accurately: Columbia Engineers develop machine-learning algorithm to better understand and mitigate the impact of extreme weather events, which are becoming more frequent in our warming climate.

A new study has used global storm-resolving simulations and machine learning to create an algorithm that can deal separately with two different scales of cloud organization: those resolved by a climate model, and those that cannot be resolved as they are too small. This new approach addresses the missing piece of information in traditional climate model parameterizations and provides a way to predict precipitation intensity and variability more precisely.