ECHAM6-wiso annual mean data for LGM and PI ...

• Main Authors: Cauquoin, Alexandre, Abe-Ouchi, Ayako, Obase, Takashi, Chan, Wing-Le, Paul, André, Werner, Martin
• Format: Dataset
• Language: unknown
• Published: Zenodo 2023
• Subjects: water isotopes, ECHAM6-wiso, AGCM, LGM; Sea ice
• Online Access: https://dx.doi.org/10.5281/zenodo.7983371; https://zenodo.org/record/7983371

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 ... : This research was supported by JSPS KAKENHI Grant 17H06323 and 22K20379, and by the German Federal Ministry of Education and Research (BMBF) as Research for Sustainability initiative (FONA). The ECHAM6-wiso simulations were performed at the Alfred Wegener Institute (AWI) supercomputing center. The MIROC 4m simulations used in this study were performed on the Earth Simulator 3 at Japan Agency for Marine‐Earth Science and Technology (JAMSTEC). ...