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NASA has a tool to predict which cities are more vulnerable to flooding

It looks at the Earth's spin and gravitational effects to predict how water will be 'redistributed' globally, says NASA.
 

NASA has a tool to predict which cities are more vulnerable to flooding Representational image

New Delhi: Scientists from NASA have developed a tool to forecast which cities are vulnerable to flooding due to the melting of ice in a warming climate.

It looks at the Earth's spin and gravitational effects to predict how water will be 'redistributed' globally, says NASA.

In India, Mangalore and Mumbai are the two cities which will be at higher risk, as per reports.

"This provides, for each city, a picture of which glaciers, ice sheets, (and) ice caps are of specific importance," the report mentioned.

The research, detailed in the journal Science Advances, could provide scientists a way to determine which ice sheets they should be "most worried about".

The researchers explained that as land ice is lost to the oceans, both the Earth's gravitational and rotational potentials are perturbed, resulting in strong spatial patterns in sea-level rise (SLR).

The pattern of sea-level change has been termed sea-level fingerprints.

"We lack robust forecasting models for future ice changes, which diminishes our ability to use these fingerprints to accurately predict local sea-level (LSL) changes," the researchers said. 

So they set out to determine the exact gradient of sea-level fingerprints with respect to local variations in the ice thickness of all of the world's ice drainage systems. 

"By exhaustively mapping these fingerprint gradients, we form a new diagnosis tool, henceforth referred to as gradient fingerprint mapping (GFM), that readily allows for improved assessments of future coastal inundation or emergence," the study said. 

The researchers demonstrated that for Antarctica and Greenland, changes in the predictions of inundation at major port cities depend on the location of the drainage system.

(With Agency inputs)

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