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Climate News at MIT

The latest climate change research and action happening in and around MIT.

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PostOctober 13, 2020

Our midcentury climate goals require radical change today

MIT Technology Review

PostOctober 1, 2020

MIT Energy Initiative Fall Colloquium: Net-zero emissions and social equity...

MIT Energy Initiative

PostSeptember 24, 2020

How MIT’s rocket, electric car, and solar vehicle teams have adjusted to ...

Clockwise from top left: Battery work by a student on the Motorsports team, the MIT Rocket Team in the California desert, MIT Motorsports at the Formula SAE Lincoln Competition, and the MIT Solar Electric Vehicle Team testing their solar car in the Ford Wind Tunnel.

PostSeptember 22, 2020

Studies investigate marine heatwaves, shifting ocean currents

MIT Department of Earth Atmospheric and Planetary Sciences

PostAugust 12, 2020

Assessing the value of battery energy storage in future power grids

MIT and Princeton University researchers find that the economic value of storage increases as variable renewable energy generation (from sources such as wind and solar) supplies an increasing share of electricity supply, but storage cost declines are needed to realize full potential.

PostAugust 11, 2020

MIT researchers and Wyoming representatives explore energy and climate solu...

The Wyoming State Capitol in Cheyenne

PostJuly 22, 2020

Covid-19 shutdown led to increased solar power output

Shutdowns in response to the Covid-19 pandemic have resulted in lowered air pollution levels around the world. Researchers at MIT, and in Germany and Singapore have found that this resulted in a significant increase in the output from solar photovoltaic installations in Delhi, normally one of the world’s smoggiest cities.

PostJune 25, 2020

Electrifying Transportation: Issues and Opportunities

MIT Center for Energy and Environmental Policy Research

PostJune 11, 2020

An MIT research team reveals that draining peatland ecosystems in Southeast...

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS)

Two MIT students stand by a fallen tree in a dense green peatland forest

PostMay 29, 2020

Machine learning helps map global ocean communities

A machine-learning technique developed at MIT combs through global ocean data to find commonalities between marine locations, based on interactions between phytoplankton species. Using this approach, researchers have determined that the ocean can be split into over 100 types of “provinces,” and 12 “megaprovinces,” that are distinct in their ecological makeup.

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