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...

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Bibliographic Details
Main Authors: Yukihiko Onuma, Kei Yoshimura, Tomoko Nitta, Hiroaki Tatebe, Masahiro Watanabe
Format: Dataset
Language:unknown
Published: Zenodo 2024
Subjects:
Climate model, Snow water equivalent, Northhemisphere
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.8255459
https://zenodo.org/doi/10.5281/zenodo.8255459
Description
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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