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December 7, 2018
1) Top-left panel shows the Saildrone sea water salinity data overlays the sea surface salinity map from SMAP RSS Level 3 V3 70KM 8day running mean (https://podaac.jpl.nasa.gov/dataset/SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V3_70KM). 2) Top-right panel shows the Saildrone sea surface temperature data overlays the sea surface temperature map from GHRSST Level 4 MUR V4.1 (https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1).
November 16, 2018
Evolution of the SMAP sea surface salinity (SSS) and soil moisture responses to Hurricanes Harvey, Irma, and Maria of 2017. The ocean salinity response to hurricanes is a combination of two competing effects: 1) salinity freshening due to enhanced precipitation and 2) salinity increase due to wind stress-generated vertical mixing, wherein increased salinity from a mid-level maximum (found in typical salinity profiles) is brought to the surface. The two effects are clearly observed along the tracks of Harvey, Irma, and Maria.
October 30, 2018
The Cyclone Global Navigation Satellite System (CYGNSS) is a NASA Earth System Science Pathfinder Mission that is intended to collect the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35° from the equator, with a mean (i.e., average) revisit time of seven hours and a median revisit time of three hours. This inclination allows CYGNSS to measure ocean surface winds between approximately 38° N and 38° S latitude.
July 27, 2018
Animation of global sea surface salinity (SSS) over the period 27-08-2011 to 14-05-2015 based on the Aquarius OI-SSS Level 4 7Day version 5.0 product from the International Pacific Research Center of University of Hawaii (IPRC). The dataset can be downloaded from PODAAC Portal at https://podaac.jpl.nasa.gov/dataset/AQUARIUS_L4_OISSS_IPRC_7DAY_V5
May 4, 2018
Animation of global sea surface salinity (SSS) over the period 27-03-2015 to 16-04-2018 based on the 8-day running mean version 2.0 SMAP product from Remote Sensing Systems (http://www.remss.com/) at a spatial resolution of 70km.
May 4, 2018
Animation of sea surface salinity (SSS) over the period 27-03-2015 to 16-04-2018 based on the 8-day running mean version 2.0 SMAP product from Remote Sensing Systems (http://www.remss.com/) at a spatial resolution of 70km.
December 5, 2016
This visualization shows total sea level change between 1992 and 2014, based on data collected from the TOPEX/Poseidon, Jason-1 and Jason-2 satellites. Blue regions are where sea level has gone down, and orange/red regions are where sea level has gone up. Since 1992, seas around the world have risen an average of nearly 3 inches. The color range for this visualization is -7 cm to +7 cm (-2.76 inches to +2.76 inches), though measured data extends above and below 7cm (2.76 inches). This particular range was chosen to highlight variations in sea level change.
December 5, 2016
For over 20 years, satellite altimeters have measured the sea surface height of our ever-changing oceans. This series of images shows the complicated patterns of rising and falling ocean levels across the globe from 1993 to 2015. Sea levels reflect changing currents (which tilt the sea surface), the redistribution of heat (which makes sea levels higher) and the long term rise in global sea levels that is the result of human-caused warming. The globally averaged rise is traced out in the bottom right-hand corner. These maps are made using data from at least two satellites at all times, and colors represent highs and lows between 30 cm of normal levels.
September 30, 2016
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).
September 30, 2016
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.