Earth
ID: 5141
The Indonesian Throughflow (ITF) is the only low-latitude gateway for export of large amounts of heat and freshwater from the Pacific to the Indian Ocean. The ITF affects the atmosphere–ocean coupling with potential impacts on the ENSO (El Niño–Southern Oscillation) and Asian monsoon. On average, 15 million cubic meters per second (15 Sverdrup) of the Pacific Ocean water enters the Indian Ocean, regulating mean state and the overturning circulation of the Indian and Pacific Oceans. The flow passes through several passages. The complex system of these passages is not well resolved in most earth system models used for climate prediction, resulting in a misrepresentation of the transport through the ITF.
The Goddard Earth Observing System (GEOS) atmospheric model coupled with Massachusetts Institute of Technology general circulation (MITgcm) ocean model is used to simulate a time-span of 14 months starting from Jan 20th, 2020. The horizontal resolution of the model in the atmosphere is about 6-7 km atmosphere, and in the ocean is 2-4 km ocean, which better resolves the flow through the narrow sea straits. The resolution allows sub-mesoscale features such as eddies to be captured. The animation of Sea Surface Salinity reveals the detailed spatial and temporal changes in the flow of freshwater.
The majority of this work was done between March to July 2023 while the lead visualizer was at the GMAO.
Sea Surface Salinity Near The Maritime Continent
The Goddard Earth Observing System (GEOS) atmospheric model coupled with Massachusetts Institute of Technology general circulation (MITgcm) ocean model is used to simulate a time-span of 14 months starting from Jan 20th, 2020. The horizontal resolution of the model in the atmosphere is about 6-7 km atmosphere, and in the ocean is 2-4 km ocean, which better resolves the flow through the narrow sea straits. The resolution allows sub-mesoscale features such as eddies to be captured. The animation of Sea Surface Salinity reveals the detailed spatial and temporal changes in the flow of freshwater.
The majority of this work was done between March to July 2023 while the lead visualizer was at the GMAO.
Visualization Credits
Atousa Saberi (NASA/GSFC): Lead Visualizer
Joseph V. Ardizzone (NASA/GSFC): Visualizer
Greg Shirah (NASA/GSFC): Visualizer
Atousa Saberi (NASA/GSFC): Lead Scientist
Andrea Molod (NASA/GSFC): Scientist
Dimitris Menemenlis (NASA/JPL CalTech): Scientist
Atanas Trayanov (SSAI): Scientist
Chris Hill (Massachusetts Institute of Technology): Scientist
Laurence Schuler (ADNET Systems, Inc.): Technical Support
Ian Jones (ADNET Systems, Inc.): Technical Support
Joseph V. Ardizzone (NASA/GSFC): Visualizer
Greg Shirah (NASA/GSFC): Visualizer
Atousa Saberi (NASA/GSFC): Lead Scientist
Andrea Molod (NASA/GSFC): Scientist
Dimitris Menemenlis (NASA/JPL CalTech): Scientist
Atanas Trayanov (SSAI): Scientist
Chris Hill (Massachusetts Institute of Technology): Scientist
Laurence Schuler (ADNET Systems, Inc.): Technical Support
Ian Jones (ADNET Systems, Inc.): Technical Support
Please give credit for this item to:
NASA's Global Modeling and Assimilation Office (GMAO) and Jet Propulsion Laboratory (JPL)
NASA's Global Modeling and Assimilation Office (GMAO) and Jet Propulsion Laboratory (JPL)
Short URL to share this page:
https://svs.gsfc.nasa.gov/5141
Data Used:
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.
Keywords:
SVS >> Hyperwall
NASA Science >> Earth
SVS >> Salinity
SVS >> Ocean
https://svs.gsfc.nasa.gov/5141
Data Used:
DYAMOND
Model - NASA/JPL, NASA/GMAO
The data from the experimental coupled GEOS-MITgcm model known as DYAMOND that was run on NASA Advanced Supercomputing facility.
Keywords:
SVS >> Hyperwall
NASA Science >> Earth
SVS >> Salinity
SVS >> Ocean
