MITgcm ECCO Simulations: River Runoff Impact on Coastal Plumes, 2015-2017

Seven MITgcm ECCO simulations compare climatology versus daily river runoff forcing. The dataset includes model outputs for eight major world rivers, providing daily mean sea surface salinity data from 2015 to 2017. Hong Zhang of the Jet Propulsion Laboratory created this data to evaluate runoff representation in coastal plume regions.

Use Cases

• Compare the effects of climatology versus daily river runoff forcing on coastal salinity based on the described simulation pairs.
• Analyze sea surface salinity variability near eight major world rivers using the daily mean SSS data files.
• Evaluate the impact of different model resolutions (LLC90, LLC270, LLC540, CS510) on simulating coastal plume regions.
• Study the implementation and effects of the JRA55-DO runoff dataset within the MITgcm framework.

Strengths

• Includes seven distinct simulation setups, allowing for controlled comparison of runoff forcing methods.
• Model output covers a three-year time range from 2015 to 2017.
• Focuses on eight major world rivers, providing targeted data for key coastal plume regions.
• Simulations use established MITgcm ECCO configurations (e.g., ECCO-V4R4, ECCO-LLC270, ECCO2).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jet Propulsion Laboratory / MITgcm-contrib repositories

Collection Method

Output from numerical ocean model (MITgcm) simulations.

Time Range

2015-2017

Geography

Global, with focus on coastal regions of eight major world rivers.