Respiration Patterns in the Dark Ocean with Monte Carlo Simulations

5000 Monte Carlo simulations model oxygen utilization and dissolved organic carbon consumption rates across 10 ocean regions and defined isopycnals. The data compilation includes oxygen utilization rates from at least eight published oceanographic studies spanning from 1971 to 2021. Olivier Sulpis of the Centre National de la Recherche Scientifique prepared this data for a paper titled 'Respiration patterns in the dark ocean'.

Use Cases

• Modeling deep ocean respiration patterns based on Monte Carlo simulations across regions and isopycnals.
• Comparing newly derived oxygen utilization rates against a compilation of historical study data.
• Computing spatially integrated values for carbon and oxygen fluxes in the dark ocean.

Strengths

• Includes 5000 Monte Carlo simulations for robust uncertainty analysis.
• Compares results against oxygen utilization rates from at least eight distinct published studies.
• Data is structured across three dimensions: simulations, regions, and isopycnals.

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

Centre National de la Recherche Scientifique (CNRS)

Collection Method

Monte Carlo simulation modeling and compilation of published literature data.

Time Range

Studies cited range from 1971 to 2021.

Geography

Covers multiple ocean regions, including the Pacific, Atlantic, and South China Sea.