Sunday December 8, 2019
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Wintertime Ice Growth in Arctic Sea Slows Long-Term Decline: NASA

The switch will happen once the sea ice is less than 1.6 feet thick at the beginning of winter, or its concentration

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US shutdown delays space missions but NASA not grounded: Report,

While sea ice in the Arctic continues to be on the decline, a new research from the US Space agency NASA suggests that it is regrowing at faster rates during the winter than it was a few decades ago.

The findings showed that since 1958, the Arctic sea ice cover has lost on average around two-thirds of its thickness and now 70 per cent of the sea ice cap is made of seasonal ice, or ice that forms and melts within a single year.

But at the same time, that sea ice is vanishing quicker than it has ever been observed in the satellite record, it is also thickening at a faster rate during winter.

This increase in growth rate might last for decades, explained the researchers, in the paper to be published in the journal Geophysical Research Letters.

However, this does not mean that the ice cover is recovering, though. Just delaying its demise.

“This increase in the amount of sea ice growing in winter doesn’t overcome the large increase in melting we’ve observed in recent decades,” said lead author Alek Petty, a sea ice scientist at NASA’s Goddard Space Flight Center in Maryland.

NASA, Hubble, Keplar, asteroids
However, this does not mean that the ice cover is recovering, though. Just delaying its demise. Flickr

“Overall, thickness is decreasing. Arctic sea ice is still very much in decline across all seasons and is projected to continue its decline over the coming decades,” she added.

To explore sea ice growth variability across the Arctic, the team used climate models and observations of sea ice thickness from the European Space Agency’s CryoSat-2 satellite.

They found that in the 1980s, when Arctic sea ice was on average 6.6 feet thick in October, about 3.3 extra feet of ice would form over the winter.

This rate of growth may continue to increase, and in the coming decades, we could also have an ice pack that would on average be only around 3.3 feet thick in October, but could experience up to five feet of ice growth over the winter.

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However, by the middle of the century, the strong increases in atmospheric and oceanic temperatures will outweigh the mechanism that allows ice to regrow faster, and the Arctic sea ice cover will decline further, Petty said.

The switch will happen once the sea ice is less than 1.6 feet thick at the beginning of winter, or its concentration — the percentage of an area that is covered in sea ice — is less than 50 per cent, she noted. (IANS)

Next Story

This NASA-ISRO Mission Set to Crunch Key Space Data in Cloud

"Interest in space helps everybody. And there's a lot of commercial interest now. I think if there is a business to be made, commercial space will do that. When there is no business to be made that no one can make money, then the government should do that

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FILE - Tourists take pictures of a NASA sign at the Kennedy Space Center visitors complex in Cape Canaveral, Florida, April 14, 2010. VOA

By NISHANT ARORA

As the humankind aims for deeper space missions like Mars in couple of years from now, the time is to democratize humongous data available via NASA and space agencies like the Indian Space Research organization (ISRO) that can boost space research via next-gen Cloud computing, a top NASA-JPL official has stressed.

Scheduled for launch from Sriharikota launch facility in Andhra Pradesh in 2022, the NASA-ISRO Synthetic Aperture Radar (NISAR) mission is a joint project between the US and Indian space agencies to co-develop and launch a dual-frequency synthetic aperture radar on an Earth observation satellite. The satellite will be the first radar imaging one to use dual frequencies (L and S Band).

ISRO is likely to spend Rs 788 crore while JPL’s work share is expected to be over $800 million on this key project.

Using advanced radar imaging that will provide an unprecedented, detailed view of Earth, NISAR satellite is designed to observe and take measurements of some of the planet’s most complex processes — ecosystem disturbances, ice-sheet collapse and natural hazards such as earthquakes, tsunamis, volcanoes and landslides.

Artificial Intelligence and Machine Learning-driven Cloud computing is certainly going to make the key difference once the satellite is up and running.

“NISAR is going to generate 100 terabytes per day. That’s a lot of data. It’s about a hundred times more than anything we’ve ever done together. It doesn’t fit in our data centres. So we have to put it in the Cloud,” Tom Soderstrom, Chief Innovation and Technology Officer, NASA JPL (Jet Propulsion Laboratory), told IANS during an interaction here.

“The data needs to be worked on for the Indian space agency with several others including NASA. Having it in the Cloud gives us a good place to store, analyse and parse it right for the benefit of humankind,” Soderstrom added.

The Jet Propulsion Laboratory is a federally-funded research and development center in Pasadena, California.

“For our science data processing part, we discovered that we could use GPUs (graphic processing units) which were never done before. So, for NISAR, we tried GPUs and realized that it’s better, sometimes 100 times better, based on what you’re doing and overall four times faster,” Soderstrom explained.

ISRO
Indian Space Research Organization (ISRO) Chairman K. Sivan, left, and Junior Indian Minister for Department of Atomic Energy and Space Jitendra Singh address a news conference in New Delhi. VOA

The data collected from NISAR mission will reveal information about the evolution and state of Earth’s crust, help scientists better understand our planet’s processes and changing climate, and aid future resource and hazard management.

According to Soderstrom, now they can not only process data much faster but also switch between CPUs and GPUs, whichever is the cheapest.

“Cloud will help us process the data differently. Now, you have lots of interesting data for different spacecrafts. We can now apply machine learning to see trends — both in the science and telemetry data,” said the NASA-JPL executive.

At JPL, everyone has intelligent digital assistant Alexa at his or her desk, helping the staffers organise daily tasks while making sense of intrinsic data-sets.

“An intelligent digital assistant has two pieces to it. It knows who I am and also knows how long I’ve been there, meaning it knows my role. So it can tell me things that I need to know before I even know I need them. You can ask Alexa simple things like when is NISAR launching or how much data it is producing on a daily basis, or where my source data is coming from,” Soderstrom explained.

Alexa can tell you about the mission’s budget. It can tell you about the compute environment and “we can speak to it, type to it or text to it. We apply machine learning to make Alexa smarter and smarter over time”.

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Soderstrom is also bullish on space collaborations between countries to create a better world.

“Interest in space helps everybody. And there’s a lot of commercial interest now. I think if there is a business to be made, commercial space will do that. When there is no business to be made that no one can make money, then the government should do that.

“If space becomes the business, then let the business people do it like Elon Musk began by transporting things to the International Space Station (ISS). JPL, on the other hand, wants to go and do things that have never been done before. So if people can go to the moon and mine it, so be it. Once Mars becomes commonplace, we’re going to Jupiter’s moon Europa in search of life,” elaborated Soderstrom. (IANS)