遇见数据集

ECHAM6-wiso annual mean data for LGM and PI

收藏
Mendeley Data2024-05-10 更新2024-06-27 收录
数据链接:
官方服务:

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.

本数据集包含ECHAM6-wiso的年平均数值,涵盖6组末次冰盛期(Last Glacial Maximum,LGM)与2组工业前(Pre-industrial,PI)模拟试验,相关说明详见https://doi.org/10.5194/cp-19-1275-2023: LGM_GLOMAP:采用GLOMAP数据集的海表温度(Sea Surface Temperature,SST)与海冰数据。 LGM_tierney2020:采用Tierney等人(2020)的海表温度数据与GLOMAP数据集的海冰数据。 LGM_miroc4m_sst_glomap_sic:采用MIROC 4m模式的海表温度数据与GLOMAP数据集的海冰数据。 LGM_miroc4m_sst_and_sic:采用MIROC 4m模式的海表温度与海冰数据。 LGM_miroc4m_strong_AMOC_sst_glomap_sic:针对强大西洋经向翻转环流(Atlantic Meridional Overturning Circulation,AMOC)阶段,采用MIROC 4m模式的海表温度数据与GLOMAP数据集的海冰数据。 LGM_miroc4m_strong_AMOC_sst_and_sic:针对强大西洋经向翻转环流阶段,采用MIROC 4m模式的海表温度与海冰数据。 PI_amip_sst_and_sic:采用大气模式比较计划(Atmospheric Model Intercomparison Project,AMIP)海表温度与海冰数据的工业前模拟试验,可与LGM_GLOMAP、LGM_tierney2020、LGM_miroc4m_sst_glomap_sic及LGM_miroc4m_strong_AMOC_sst_glomap_sic等模拟试验配套使用。 PI_amip_sst_miroc4m_sic:采用大气模式比较计划海表温度与MIROC 4m模式工业前海冰数据的工业前模拟试验,可与LGM_miroc4m_sst_and_sic及LGM_miroc4m_strong_AMOC_sst_and_sic等模拟试验配套使用。 末次冰盛期模拟试验的数据集变量包含2米气温、降水量、降水中的δ¹⁸O值、垂直积分水汽含量以及总水汽输送的u、v分量。 工业前模拟试验的数据集变量包含2米气温、降水量以及降水中的δ¹⁸O值。 本数据集附带的2个CSV文件分别提供了观测与ECHAM6-wiso模拟的极地冰芯站冰面雪δ¹⁸O值与气温数据。

创建时间:
2023-06-28
二维码
社区交流群
二维码
科研交流群
商业服务