Antarctica’s magnetic link to ancient neighbors
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New York/Canadian-Media: An international team of scientists has used, for the first time, magnetic data from European Space Agency (ESA)’s Swarm satellite mission together with aeromagnetic data to unravel the mysteries of the geology hidden beneath Antarctica’s kilometers-thick ice sheets, and link Antarctica better to its former neighbors, ESA news reports said.
To understand global supercontinent cycles over billions of years that have shaped Earth’s evolution, it is important to understand both Antarctic sub-ice geology and how the solid Earth itself influences the Antarctic ice sheet above it.
The research team from Germany’s Kiel University, the British Antarctic Survey and National Institute of Oceanography and Applied Geophysics, and Witwatersrand University in South Africa has today published their findings in the Nature journal Scientific Reports.
It is revealed in the study that combining satellite and aeromagnetic data provides a key missing link to connect Antarctica’s hidden geology with formerly adjacent continents, namely Australia, India, and South Africa, keystones of Gondwana.
Owing to the satellites orbiting above which can see where humans cannot make it possible to collect both challenging and expensive geophysical information of the land below remote Antarctica, which is covered by a massive ice sheet.
Scientists are succeeding in understanding Earth’s least accessible continent due to magnetic data from the Swarm mission along with airborne measurements in sharing a long tectonic history — and that needs piecing together like a jigsaw puzzle.
The team processed aeromagnetic data from aircraft from over southern Africa, Australia, and Antarctica in a consistent manner with the help of Swarm satellite magnetic data.
Aeromagnetic data do not cover everywhere on Earth, so magnetic models complied from Swarm data help to fill the blanks, especially over India where aeromagnetic data are still not widely available. Furthermore, satellite data help to homogenize the airborne data, which were acquired over a period of more than 60 years with varying accuracy and resolution.
Jörg Ebbing, from Kiel University, explains, “With the available data, we only had pieces of the puzzle. Only when we put them together with satellite magnetic data, can we see the full picture.”
The resulting combined datasets provide a new tool for the international scientific community to study the cryptic sub-ice geology of Antarctica, including its influence on the overlying ice sheets.
Gondwana was an amalgam of continents that incorporated South America, Africa, Arabia, Madagascar, India, Australia, New Zealand, and Antarctica. As the tectonic plates collided in the Precambrian and early Cambrian times some 600–500 million years ago, they built huge mountain ranges comparable to the modern Himalayas and Alps. This supercontinent started to break up in the early Jurassic, about 180 million years ago, ultimately leaving Antarctica stranded and isolated at the South Pole, and covered in ice for around 34 million years.
“Using the new magnetic data, our animation illustrates how the tectonic plates have moved over millions of years after the breakup of Gondwana,” explains Peter Haas, a Ph.D. student at Kiel University.
Fausto Ferraccioli, Director of Geophysics at the National Institute of Oceanography and Applied Geophysics in Italy, and also affiliated with the British Antarctic Survey, said, “We have been trying to piece together the connections between Antarctica and other continents for decades. We knew that magnetic data play a pivotal role because one can peer beneath the thick Antarctic ice sheet to help extrapolate the geology exposed along the coast into the continent interior.
ESA’s Roger Haagmans, said, “This research has been carried out within ESA’s Science for Society 3D Earth study where we are using gravity data from the GOCE mission and magnetic data from the Swam mission to understand the structure and dynamic processes deep within Earth. In this instance, Swarm’s magnetic data have played a starring role.”