Scientists race to recover vital natural archive from rapidly melting glaciers

Africanews (in English)

Scientists race to recover vital natural archive from rapidly melting glaciers  Since 2000, the world has lost more than 7 trillion tons of ice from mountain glaciers. Scientists are racing to recover vital information from the natural archives they store before it's too late.   READ MORE : http://www.africanews.com/2025/11/07/scientists-race-to-recover-vital-natural-archive-from-rapidly-melting-glaciers  Subscribe on our Dailymotion channel and receive all the latest news from the continent.    Africanews is available in English and French.  Website : www.africanews.com  Facebook : https://www.facebook.com/africanews.channel/  Twitter : https://twitter.com/africanews

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00:002025 has not been a good year for glaciers. A series of reports all appear to confirm that

00:07climate change is melting these bodies of ice at an alarming rate. Since 2000 the world has

00:13lost more than seven trillion tons of ice from mountain glaciers. Signs of melting evident here

00:20on the Italian side of the Mont Blanc Massive. We have observed over the years is that the glacier

00:28is slowing down and this is a sign that there is less input of mass to the glacier from snowfall.

00:36Now scientists are rushing to recover the records stored within this glacier in Tajikistan where the

00:42ice has created a natural archive full of important information about rainfall, volcanic eruptions and

00:50other climate events. But what can happen as the warming progresses you will have very hot summers.

00:57even up there with very hot meaning above the melting point of ice which means that water can

01:04percolate into the firm, that's the compacted snow that is on top of the firm ice and therefore

01:13contaminate the climate signals. It's a critical mission to secure the first deep ice cause ever

01:21extracted from this region. Success would provide scientists with a crucial long-term record

01:27from one of the world's most data-scarce regions.

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