These data include all datasets published for 'CMIP6.HighResMIP.MRI.MRI-AGCM3-2-H.highresSST-present' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The MRI-AGCM3-2-H climate model, released in 2017, includes the following components: aerosol: Prescribed from MRI-ESM2.0, atmos: MRI-AGCM3.2H (TL319; 640 x 320 longitude/latitude; 64 levels; top level 0.01 hPa), land: SIB0109. The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 50 km, land: 50 km. Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.
Mizuta, Ryo; Yoshimura, Hiromasa; Ose, Tomoaki; Hosaka, Masahiro; Yukimoto, Seiji (2023). MRI MRI-AGCM3-2-H model output prepared for CMIP6 HighResMIP highresSST-present. World Data Center for Climate (WDCC) at DKRZ. https://hdl.handle.net/21.14106/c6fbf73763901862f240040b57f7619a70c65907
[1] DOIJose, Dinu Maria; Dwarakish, G. S. (2022). Frequency-intensity-distribution bias correction and trend analysis of high-resolution CMIP6 precipitation data over a tropical river basin. doi:10.1007/s00704-022-04078-5
[2] DOILiu, Qiyang; Qiao, Fengxue; Yu, Yongqiang; Zhu, Yiting; Zhao, Shuwen; Liu, Yujia; Jiang, Fulin; Hu, Xinyu. (2023). Bias Analysis in the Simulation of the Western North Pacific Tropical Cyclone Characteristics by Two High-Resolution Global Atmospheric Models. doi:10.1007/s00376-022-2159-2
Is cited by
[1] DOIJose, Dinu Maria; Dwarakish, Gowdagere Siddaramaiah. (2021). Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin. doi:10.1007/s13143-021-00240-7
[2] DOIYorozu, K.; Tachikawa, Y. (2015). The effect on river discharge estimation by considering an interaction between land surface process and river routing process. doi:10.5194/piahs-369-81-2015
[3] DOIWichakul, Supattana; Tachikawa, Yasuto; Shiiba, Michiharu; Yorozu, Kazuaki. (2015). River discharge assessment under a changing climate in the Chao Phraya River, Thailand by using MRI-AGCM3.2S. doi:10.3178/hrl.9.84