Long Simulations of the Miocene Climatic Optimum

The global warmth of the Miocene Climatic Optimum (MCO, ~15 Ma) offers valuable insights into warm climate dynamics and future climate change, providing a real-world testbed for validating climate models. However, it remains unclear how warm the MCO was given the scarcity and uncertainties of surface temperature proxy records. Three iCESM1.3 long simulations are constructed to estimate the Miocene global mean surface temperature (GMST). The three simulations included: preindustrial (PI), 1.5x CO2, 3x CO2. Each simulation case includes long time series files with a monthly temporal resolution and a NE16 G16 spatial resolution (~2 degree atmosphere and ~1 degree ocean), covering the last 100 model years of the global climate fields.

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Keywords

Resource Type dataset
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format HDF5/NetCDF4
Standardized Resource Format NetCDF
Asset Size 1864870.513 MB
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Creative Commons Attribution 4.0 International License


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Resource Support Name N/A
Resource Support Email datahelp@ucar.edu
Resource Support Organization N/A
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author Zhu, Feng
Zhu, J.
Publisher NSF National Center for Atmospheric Research
Publication Date 2025-06-30
Digital Object Identifier (DOI) https://doi.org/10.5065/3QFN-GN70
Alternate Identifier d010026
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:32:20Z
Metadata Record Identifier edu.ucar.gdex::d010026
Metadata Language eng; USA
Suggested Citation Zhu, Feng, Zhu, J.. (2025). Long Simulations of the Miocene Climatic Optimum. NSF National Center for Atmospheric Research. https://doi.org/10.5065/3QFN-GN70. Accessed 11 October 2025.

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