MIROC5-iso Modeled Tritium in Precipitation and Water Vapor, 1979-2018

1979-2018 model values from three simulations of natural tritium implemented in the isotope-enabled atmospheric general circulation model MIROC5-iso. The dataset, produced by Alexandre Cauquoin of The University of Tokyo, includes monthly and mean tritium concentrations in precipitation and water vapor, as well as precipitation rates and specific humidity. A complete description is available in the associated 2024 Journal of Geophysical Research: Atmospheres paper.

Use Cases

• Comparing modeled tritium production rates under different solar activity scenarios based on the three described simulations.
• Analyzing long-term trends in atmospheric tritium concentrations based on monthly mean data from 1979 to 2018.
• Studying the relationship between tritium in precipitation and specific humidity based on the included water vapor data.
• Validating isotope-enabled climate models using simulated tritium values against observational records.

Strengths

• Data spans a 40-year period from 1979 to 2018, providing a long-term climatological context.
• Includes three distinct simulations with different underlying tritium production rate models, allowing for comparative analysis.
• Provides multiple temporal aggregations (monthly mean, timmean, ymonmean) for key variables like tritium in precipitation.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment for large-scale processing.
• Column-level documentation is absent; field semantics must be inferred from file names or the referenced paper after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Model simulations produced with MIROC5-iso by Alexandre Cauquoin at The University of Tokyo.

Collection Method

Output from isotope-enabled atmospheric general circulation model (GCM) simulations.

Time Range

1979-2018

Geography

Global (implied by atmospheric GCM)