Model output derived from SWE pacemaker experiments using MIROC6-AGCM ...
This data set is model output derived from numerical simulations using MIROC6-AGCM (Onuma et al., in review). The contents are as below. - python: Python scripts for the visualization- figure: PNG files created by the Python scripts- data: model output data for the Python scripts. The data directory...
Main Authors: | , , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Zenodo
2024
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.8255459 https://zenodo.org/doi/10.5281/zenodo.8255459 |
Summary: | This data set is model output derived from numerical simulations using MIROC6-AGCM (Onuma et al., in review). The contents are as below. - python: Python scripts for the visualization- figure: PNG files created by the Python scripts- data: model output data for the Python scripts. The data directory includes the below contents.-- LMIP: Output data simulated using MATSIRO6 with GSWP3 reanalysis data (LMIP experiment) are included. Monthly time-series data and regional averages for 1901-2010 derived from LMIP experiment (netCDF and csv files, respectively). -- AMIP: Output data simulated using MIROC6 with prescribed sea surface temperature and sea ice concentration (AMIP experiment) are included. Monthly time-series data and regional averages for 1901-2010 derived from AMIP ensemble experiments (netCDF and csv files, respectively). -- AMIP+SWE: Output data simulated using MIROC6 with prescribed sea surface temperature, sea ice concentration and snow water equivalent (AMIP+SWE experiment) are included. Monthly ... |
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