Satellite data may predict floods almost a year in advance

Satellite data may predict floods almost a year in advance
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Satellite Data May Predict Floods Almost A Year In Advance. Based on satellite monitoring of the gravitational field of a river basin, researchers have found a new way to predict which rivers are prone to dangerous flooding 11 months in advance.

Washington: Based on satellite monitoring of the gravitational field of a river basin, researchers have found a new way to predict which rivers are prone to dangerous flooding 11 months in advance.

They measured how much water was stored in a river basin months ahead of the spring flood season.

"Just like a bucket can only hold so much water, the same concept applies to river basins," lead study author J.T. Reager, earth scientist at the University of California, Irvine, was quoted as saying.

The researchers relied on NASA's twin GRACE satellites to predict a region's possible flooding.

They have found that when the ground is saturated, or filled to its brim, conditions are ripe for flooding.

Reager hopes his new method will eventually help forecasters prepare reliable flood warnings several months in advance.

The researchers looked back in time using satellite data and measured how much water was soaking the ground before the 2011 Missouri river floods.

The researchers found their statistical model strongly predicted this major flood event five months in advance. With less reliability, the prediction could be extended to 11 months in advance, the researchers said.

However, the method is inadequate to predict flash floods caused by sudden rains, such as India's monsoonal flooding, Reager said.

Also, now there is a three-month lag before the researchers can obtain data from the GRACE satellites, which means potential flood predictions using this method are limited to only two or three months in advance, Live Science reported.

NASA is, however, working on ways to speed up its data delivery to 15 days, Reager added.

The findings appeared in the journal Nature Geoscience.

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