Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison
- Visualizations by:
- Alex Kekesi
- Scientific consulting by:
- Doug C. Morton,
- Jim Randerson, and
- Yang Chen
- View full credits
Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires.
Sea Surface Temperature Anomalies (SSTA) show ocean regions with warmer or colder temperatures than the long-term average for a given month. Globally, SSTA are an important driver of atmospheric circulation and rainfall patterns. Climate modes such as the El Niño Southern Oscillation (ENSO) in the tropical Pacific Ocean, including El Niño (warm SSTA) and La Niña (cold SSTA) phases, give us rise to predictable changes in rainfall patterns. The strong El Niño event that developed in 2015 appears as warm SSTA in the eastern Pacific Ocean.
For more information on the GEOS5 mission please visit http://www.nasa.gov/mission_pages/Grace/
Atmospheric/ocean IndicatorsBiologyBiosphereClimate IndicatorsEarth ScienceEcological DynamicsEcologyEl NinoEl Nino Southern OscillationEnvironmental Governance/managementFire CharacteristicsFire EcologyFire ManagementFire OccurrenceFire Weather IndexFire Weather IndicesFiresHuman DimensionsHuman geographyHyperwallLa NinaLand Surface/agriculture IndicatorsNatural hazardsSea Surface Temperature AnomalySea Surface Temperature IndicesTeleconnectionsTerrestrial HydrosphereTerrestrial Hydrosphere Indicators
Credits
Please give credit for this item to:
NASA's Scientific Visualization Studio
Visualizers
- Alex Kekesi (GST) [Lead]
- Cindy Starr (GST)
- Kel Elkins (USRA)
Scientists
- Doug C. Morton (NASA/GSFC) [Lead]
- Jim Randerson (University of California, Irvine) [Lead]
- Yang Chen (University of California, Irvine) [Lead]
Missions
This visualization is related to the following missions:Datasets used in this visualization
OISSTv2 (A.K.A. NOAA Optimum Interpolation Sea Surface Temperature)
Gravity Recovery and Climate Experiment (GRACE) TWS Anomaly (A.K.A. Terrestrial Water Storage Anomaly)
Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.