ECHAM6-wiso annual mean data for LGM and PI
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/7983370
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资源简介：
This dataset contains ECHAM6-wiso annual mean values for 6 LGM and 2 PI simulations, described in https://doi.org/10.5194/cp-19-1275-2023:
LGM_GLOMAP: uses SST and sea-ice from GLOMAP dataset.
LGM_tierney2020: uses SST from Tierney et al. (2020) and sea-ice form GLOMAP.
LGM_miroc4m_sst_glomap_sic: uses SST from MIROC 4m and sea-ice form GLOMAP.
LGM_miroc4m_sst_and_sic: uses SST and sea ice from MIROC 4m.
LGM_miroc4m_strong_AMOC_sst_glomap_sic: uses SST from MIROC 4m for strong AMOC phase and sea-ice from GLOMAP.
LGM_miroc4m_strong_AMOC_sst_and_sic: uses SST and sea ice from MIROC 4m for strong AMOC phase.
PI_amip_sst_and_sic: PI simulation with AMIP SST and sea ice. To be used with LGM_GLOMAP, LGM_tierney2020, LGM_miroc4m_sst_glomap_sic and LGM_miroc4m_strong_AMOC_sst_glomap_sic simulations.
PI_amip_sst_miroc4m_sic: PI simulation with AMIP SST and MIROC 4m PI sea ice. To be used with LGM_miroc4m_sst_and_sic and LGM_miroc4m_strong_AMOC_sst_and_sic simulations.
The data in the LGM simulations are 2m air temperature, precipitation amount, d18O of precipitation, vertically integrated water vapor content and u and v components of total water vapor transport. The data in the PI simulations are 2m air temperature, precipitation amount and d18O of precipitation.
The 2 CSV files show values in d18O of snow on ice and temperature at polar ice core stations for both observations and ECHAM6-wiso simulations.
创建时间：
2023-06-28
