The animation compares the evolution of sea surface temperature anomaly (SSTA) associated with the 1997-98 and 2015-16 El Niño events. The comparison illustrates that the 2015-16 El Niño was preceded by anomalous warm waters throughout the Pacific, especially along the West Coast of Central and North America.
The animation illustrates the evolution of sea surface temperature anomaly (SSTA) associated with the 2015-16 El Niño in the Pacific Ocean. The El Niño-Southern Oscillation (ENSO) is a quasi-periodic fluctuation of ocean temperatures in the equatorial Pacific. The temperatures generally fluctuate between two states: warmer than normal central and eastern equatorial Pacific (El Niño) and cooler than normal central and eastern equatorial Pacific (La Niña).
Mike Gangl and Aaron Plave participated in a NASA Earthdata webinar on September 28, 2016, entitled "PO.DAAC: Discover, Access and Subset NASA Physical Oceanography Data."
Please be informed that the PO.DAAC FTP site experienced a hardware storage issue which is being investigated and should be resolved within a few days. The PO.DAAC public Data Access services may be affected for some datasets. We apologize for the inconvenience.
PO.DAAC Data Engineers Ed Armstrong and Wen-Hao Li supported the PO.DAAC booth at the 2016 JPL Climate Day, Sept 21 in Pasadena, California. Over 1000 local students attended this event!
Thank you for your patience while we are working on resolving the issue.
We apologize for the inconvenience.
PO.DAAC Team
PO.DAAC supports the physical oceanography user community by offering a suite of data access and visualization tools and services. During this webinar we will highlight the HiTIDE data subsetting tool for swath data, as well as our PO.DAAC Drive, which provides http-based access to our data holdings.
Event: Discover, Access and Subset NASA Physical Oceanography Data
When: Wednesday 28 September 2016, 02:00 PM - 03:00 PM
Time Zone: Eastern Daylight Savings Time (UTC/GMT-4)
Featured on the NASA Earthdata website. “Heavy weather, high seas”, Can dangerous sea states be predicted?
To read article, please visit: https://earthdata.nasa.gov/user-resources/sensing-our-planet/heavy-weather-high-seas
