A new global climate model of the Meteorological Research Institute: MRI-CGCM3—model description and basic performance— S Yukimoto, Y Adachi, M Hosaka, T Sakami, H Yoshimura, M Hirabara, ... Journal of the Meteorological Society of Japan 90 (A), 23-64, doi:10.2151 …, 2012 | 925 | 2012 |
The Meteorological Research Institute Earth System Model version 2.0, MRI-ESM2.0: Description and basic evaluation of the physical component S Yukimoto, H Kawai, T Koshiro, N Oshima, K Yoshida, S Urakawa, ... Journal of the Meteorological Society of Japan 97, 931-965, doi:10.2151/jmsj …, 2019 | 698 | 2019 |
Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C Tebaldi, K Debeire, V Eyring, E Fischer, J Fyfe, P Friedlingstein, ... Earth System Dynamics 12, 253-293, doi:10.5194/esd-12-253-2021, 2021 | 423 | 2021 |
Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A‐Train” satellite observations JH Jiang, H Su, C Zhai, VS Perun, A Del Genio, LS Nazarenko, LJ Donner, ... Journal of Geophysical Research 117, D14105, doi:10.1029/2011JD017237, 2012 | 391 | 2012 |
Origins of the solar radiation biases over the Southern Ocean in CFMIP2 models A Bodas-Salcedo, KD Williams, MA Ringer, I Beau, JNS Cole, ... Journal of Climate 27, 41-56, doi:10.1175/JCLI-D-13-00169.1, 2014 | 276 | 2014 |
Diagnosis of regime‐dependent cloud simulation errors in CMIP5 models using “A‐Train” satellite observations and reanalysis data H Su, JH Jiang, C Zhai, VS Perun, JT Shen, A Del Genio, LS Nazarenko, ... Journal of Geophysical Research: Atmospheres 118, 2762-2780, doi:10.1029 …, 2013 | 100 | 2013 |
Significant improvement of cloud representation in global climate model MRI-ESM2 H Kawai, S Yukimoto, T Koshiro, N Oshima, T Tanaka, H Yoshimura, ... Geoscientific Model Development 12, 2875-2897, doi:10.5194/gmd-12-2875-2019, 2019 | 93 | 2019 |
Basic performance of a new earth system model of the Meteorological Research Institute (MRI-ESM1) Y Adachi, S Yukimoto, M Deushi, A Obata, H Nakano, TY Tanaka, ... Papers in Meteorology and Geophysics 64, 1-19, doi:10.2467/mripapers.64.1, 2013 | 87 | 2013 |
The impact of parametrized convection on cloud feedback MJ Webb, AP Lock, CS Bretherton, S Bony, JNS Cole, A Idelkadi, ... Philosophical Transactions of the Royal Society A 373, 20140414, doi:10.1098 …, 2015 | 84 | 2015 |
Evaluation of the warm rain formation process in global models with satellite observations K Suzuki, G Stephens, A Bodas-Salcedo, M Wang, JC Golaz, T Yokohata, ... Journal of the Atmospheric Sciences 72, 3996-4014, doi:10.1175/JAS-D-14-0265.1, 2015 | 83 | 2015 |
Global and Arctic effective radiative forcing of anthropogenic gases and aerosols in MRI-ESM2.0 N Oshima, S Yukimoto, M Deushi, T Koshiro, H Kawai, TY Tanaka, ... Progress in Earth and Planetary Science 7, 38, doi:10.1186/s40645-020-00348-w, 2020 | 73 | 2020 |
On the effect of historical SST patterns on radiative feedback T Andrews, AB Salcedo, JM Gregory, Y Dong, KC Armour, D Paynter, ... Journal of Geophysical Research: Atmospheres 127, e2022JD036675, doi:10.1029 …, 2022 | 62 | 2022 |
The climate response to emissions reductions due to COVID-19: Initial results from CovidMIP CD Jones, JE Hickman, ST Rumbold, J Walton, RB Skeie, S Fiedler, ... Geophysical Research Letters 48, e2020GL091883, doi:10.1029/2020GL091883, 2021 | 60 | 2021 |
Interpretation of factors controlling low cloud cover and low cloud feedback using a unified predictive index H Kawai, T Koshiro, MJ Webb Journal of Climate 30, 9119-9131, doi:10.1175/JCLI-D-16-0825.1, 2017 | 54 | 2017 |
A multimodel study on warm precipitation biases in global models compared to satellite observations X Jing, K Suzuki, H Guo, D Goto, T Ogura, T Koshiro, J Mülmenstädt Journal of Geophysical Research: Atmospheres 122, 11806-11824, doi:10.1002 …, 2017 | 50 | 2017 |
Robustness, uncertainties, and emergent constraints in the radiative responses of stratocumulus cloud regimes to future warming Y Tsushima, MA Ringer, T Koshiro, H Kawai, R Roehrig, J Cole, ... Climate Dynamics 46, 3025-3039, doi:10.1007/s00382-015-2750-7, 2016 | 40 | 2016 |
Evaluating the diurnal cycle of upper-tropospheric ice clouds in climate models using SMILES observations JH Jiang, H Su, C Zhai, T Janice Shen, T Wu, J Zhang, JNS Cole, ... Journal of the Atmospheric Sciences 72, 1022-1044, doi:10.1175/JAS-D-14-0124.1, 2015 | 36 | 2015 |
Relationship between low stratiform cloud amount and estimated inversion strength in the lower troposphere over the global ocean in terms of cloud types T Koshiro, M Shiotani Journal of the Meteorological Society of Japan 92, 107-120, doi:10.2151/jmsj …, 2014 | 33 | 2014 |
Low-level marine tropical clouds in six CMIP6 models are too few, too bright but also too compact and too homogeneous D Konsta, JL Dufresne, H Chepfer, J Vial, T Koshiro, H Kawai, ... Geophysical Research Letters 49, e2021GL097593, doi:10.1029/2021GL097593, 2022 | 28 | 2022 |
The diurnal cycle of marine cloud feedback in climate models MJ Webb, AP Lock, A Bodas-Salcedo, S Bony, JNS Cole, T Koshiro, ... Climate Dynamics 44, 1419-1436, doi:10.1007/s00382-014-2234-1, 2015 | 25 | 2015 |