Ocean Stories

Modelling marine fish species spatiotemporal distributions utilizing NASA earth system data in a maximum entropy framework

Modeling marine fish species spatiotemporal distributions utilizing NASA earth system data in a maximum entropy framework (February, 2018)

Thursday, February 1, 2018

Fishermen rely on their on-the-water experience to know where and when to find certain species of fish in the Gulf of Maine, and managers use their knowledge of fish and the fishery to design management policies, such as seasonal closures, aimed at ensuring sustainability.

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2017, another strong year for hurricanes (October, 2017)

Tuesday, October 3, 2017

From a distance, up beyond the destruction, hurricanes are wondrous acts of nature. They form as a way for very warm ocean waters to discharge heat quickly. They’re these efficient and complex areas where the ocean and atmosphere trade energy; Earth’s way of rapidly transporting accumulated heat energy from the tropical regions to the extra-tropics when the regular oceanic or atmospheric...

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The next big question in sea level science: projecting regional changes (August, 2017)

Tuesday, August 22, 2017

“Sea level scientists have a pretty good grasp on global mean sea level,” said Steve Nerem, a professor in the Aerospace Engineering Sciences Department at the University of Colorado and the team leader for NASA’s Sea Level Change Team (N-SLCT).

When it rains, it drains (July, 2017)

Tuesday, July 25, 2017

Where does trash on the streets go during a rain storm? A group of scientists set out to discover if fine resolution satellite imagery from Synthetic Aperture Radar (SAR) and MODIS-Aqua would be useful for examining the environmental impacts of stormwater runoff in the Southern California Bight.

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Oceans Melting Greenland (OMG) (February, 2017)

Monday, February 27, 2017

Why pay attention to Greenland? Greenland’s ice sheets are melting and contributing to global sea level rise. There is enough ice on Greenland that global sea level can rise by 6 meters if it were all to melt.

Record Texas Flooding Left a “Horseshoe” in the Gulf of Mexico (December, 2016)

Tuesday, December 6, 2016

SMAP SSS revealed a unique "horseshoe" pattern in the Gulf of Mexico in 2015. This signature was caused by the freshwater plume from the Texas flood, the typical Mississippi River plume, an unusually strong Loop Current and its anticyclonic eddy to the west.

Figure 2. Location of the SPURS-2 study area within the eastern tropical Pacific the low-salinity, high precipitation region influenced by the ITCZ.

From Dry to Wet, Salty to Fresh: SPURS2 embarks on the second phase of NASA’s surface ocean Salinity Processes Field Study with a Focus on the Rainy Eastern Tropical Pacific (August, 2016)

Tuesday, August 30, 2016

On August 19, 2016,  the R/V Revelle began survey operations that will run through the middle of September 2016 at the site of the Salinity Processes in the Upper Ocean Regional Study (SPURS) 2 study region in a high rainfall region the Eastern Tropical Pacific aiming to make an equally important scientific splash. 

Waves and Satellites: Effect of El Niño on Big Wave Surfing (January, 2016)

Monday, January 25, 2016

Strong El Niño events are associated with recreational benefits, namely snow sports and surfing. The last two major El Niño events, 1982/1983 and 1997/1998, have both proven to be record breaking years for large, consistent surf along the U.S. West Coast. The current 2015/2016 El Niño is proving to be no exception.

El Niño Watch: A Comparison of Current Conditions with Past Events (September, 2015)

Thursday, September 3, 2015

Anomalous ocean conditions in the Equatorial Pacific in 2015 are compared with past El Niño events to gain a potential sense about future El Niño development and related impacts.

Utilization of Satellite Altimetry for Bangladesh Flood Forecasting and Warning System (May, 2015)

Monday, May 11, 2015

Bangladesh has implemented an operational flood forecast system that uses Jason-2 to forecast river heights, such as the Ganges River, up to 8 days ahead of time. Inclusion of satellite altimetric will provide more accurate and quicker forecasts for flood prediction to enable earlier evacuation warnings.

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