Satellites reveal possible catastrophic flooding months in advance, UCI finds

English: The 2011 Missouri River floods from Fortescue, Missouri looking toward Big Lake (which is obliterated). The Missouri River is 5+ miles wide. The BNSF railroad which is the main coal line for the Kansas City Iatan powerplant has been breached. (Photo credit: Wikipedia)

English: The 2011 Missouri River floods from Fortescue, Missouri looking toward Big Lake (which is obliterated). The Missouri River is 5+ miles wide. The BNSF railroad which is the main coal line for the Kansas City Iatan powerplant has been breached. (Photo credit: Wikipedia)

River basin storage data from on high are excellent indicators of overflow potential

Data from NASA satellites can greatly improve predictions of how likely a river basin is to overflow months before it does, according to new findings by UC Irvine. The use of such data, which capture a much fuller picture of how water is accumulating, could result in earlier flood warnings, potentially saving lives and property.

The research was published online Sunday in the journal Nature Geoscience.

A case study of the catastrophic 2011 Missouri River floods showed that factoring into hydrologic models the total water storage information from NASA’s Gravity Recovery & Climate Experiment mission – including groundwater accumulation below the surface – could have increased regional flood warning lead times from two months to as long as five months.

A review of the 2011 Columbia River floods found that warnings could have been issued three months before they occurred. Comprehensive underground measurements are not currently part of predictive models, which typically take into account river flow rates and some snowfall amounts.

“GRACE data contain important hydrologic information that is not currently being utilized to estimate regional flood potential,” said lead author J.T. Reager, who did the work as a UCI postdoctoral researcher and recently joined NASA’s Jet Propulsion Laboratory as a research scientist. “This could significantly increase flood prediction lead times within large river basins.”

Read more . . .

 

The Latest on: Flood prediction

[google_news title=”” keyword=”Flood prediction” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]

via Google News

See Also

 

The Latest on: Flood prediction

via  Bing News

 

What's Your Reaction?
Don't Like it!
0
I Like it!
0
Scroll To Top