NASA ocean remote sensing
After a successful trial run in May, a NASA campaign is deploying aircraft, a research vessel and several kinds of autonomous ocean robots to study small ocean whirlpools, eddies and currents.
Landscape contrast affects weather
Environmental engineers at Duke University have demonstrated that sharp contrasts in relatively small land features play a substantial role in local weather developments, which can in turn influence larger climate trends.
ESA Earth digital twin
Constantly fed with Earth observation data,, combined with local measurements and artificial intelligence, Digital Twin Earth will help visualize and forecast natural and human activity on the planet.
Landsat-9
Landsat-9 is a continuation of a series of Earth-observing spacecraft that started almost 50 years ago. No other remote-sensing system has kept a longer, continuos record of the changing condition of our planet.
Universal digital twin
A new paper proposes a dynamic knowledge graph approach for digital twins and the eventual goal of a Universal Digital Twin.
Magma trees
Reunion, a French island in the western Indian Ocean, sits above one of Earth’s mantle plumes – a tower of superheated rock that ascends from the deep mantle.
Most influential climate paper
Japanese scientist Syukuro Manabe wrote the most influential climate science paper of all time in 1967.
AI hurricane prediction
Forecasting models help us predict when, where and how strongly hurricanes may strike. But such rapid intensification, can elude the predictions of even the best models. Accurately predicting when these violent storms surge and strengthen is an uncertainty within the hurricane forecasting community.
Continental growth not continuous
The continents which number five, six ,seven, or even more depending on the model used are still very poorly understood. They form the emerged part of the Earth’s continental crust. The continents have varied structures as well as rocks of different compositions and ages, and this diversity makes them difficult to study.
AI and climate tipping points
Researchers are developing artificial intelligence that could expose climate change tipping points. The deep learning algorithm could function as an early warning system against runaway climate change.