Articles | Volume 9, issue 1
https://doi.org/10.5194/esd-9-33-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-9-33-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jan 2018
Research article |
| 16 Jan 2018
| 16 Jan 2018
Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Colin Jones
University of Leeds, Leeds, UK
Met Office Hadley Centre, Exeter, UK
Veronika Eyring
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Martin Evaldsson
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Stefan Hagemann
Max Planck Institute for Meteorology (MPI-M), Hamburg, Germany
now at: Institute of Coastal Research, Helmholtz Centre Geesthacht (HZG), Geesthacht, Germany
Jarmo Mäkelä
Finnish Meteorological Institute (FMI), Helsinki, Finland
Gill Martin
Met Office Hadley Centre, Exeter, UK
Romain Roehrig
CNRM, Météo-France/CNRS, Toulouse, France
Shiyu Wang
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
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Cited
14 citations as recorded by crossref.
- Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al. https://doi.org/10.1029/2019JD032321
- Impact of climate change on runoff regime of the Godavari River in India R. Singh et al. https://doi.org/10.1007/s40899-021-00558-0
- Evaluation of the Performance of CMIP6 Climate Models in Simulating Rainfall over the Philippines S. Ignacio-Reardon & J. Luo https://doi.org/10.3390/atmos14091459
- Radiative Characteristics at 89 and 36 GHz for Satellite-Based Cloud Water Estimation Over Land R. Seto et al. https://doi.org/10.1109/TGRS.2020.2996239
- Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer https://doi.org/10.3390/atmos12111462
- Taking climate model evaluation to the next level V. Eyring et al. https://doi.org/10.1038/s41558-018-0355-y
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
- Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM T. Ramotubei et al. https://doi.org/10.3389/fclim.2025.1504756
- Understanding Models' Global Sea Surface Temperature Bias in Mean State: From CMIP5 to CMIP6 Q. Zhang et al. https://doi.org/10.1029/2022GL100888
- Indian summer monsoon simulations in successive generations of the NCAR Community Atmosphere Model R. Kumar et al. https://doi.org/10.1007/s00704-023-04514-0
- The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate T. Kuhlbrodt et al. https://doi.org/10.1029/2018MS001370
- An assessment of tropical cyclones in North American CORDEX WRF simulations T. Rendfrey et al. https://doi.org/10.1016/j.wace.2021.100382
- Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. https://doi.org/10.5194/esd-11-1233-2020
- The impact of air–sea coupling and ocean biases on the seasonal cycle of southern West African precipitation C. Wainwright et al. https://doi.org/10.1007/s00382-019-04973-0
14 citations as recorded by crossref.
- Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al. https://doi.org/10.1029/2019JD032321
- Impact of climate change on runoff regime of the Godavari River in India R. Singh et al. https://doi.org/10.1007/s40899-021-00558-0
- Evaluation of the Performance of CMIP6 Climate Models in Simulating Rainfall over the Philippines S. Ignacio-Reardon & J. Luo https://doi.org/10.3390/atmos14091459
- Radiative Characteristics at 89 and 36 GHz for Satellite-Based Cloud Water Estimation Over Land R. Seto et al. https://doi.org/10.1109/TGRS.2020.2996239
- Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer https://doi.org/10.3390/atmos12111462
- Taking climate model evaluation to the next level V. Eyring et al. https://doi.org/10.1038/s41558-018-0355-y
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
- Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM T. Ramotubei et al. https://doi.org/10.3389/fclim.2025.1504756
- Understanding Models' Global Sea Surface Temperature Bias in Mean State: From CMIP5 to CMIP6 Q. Zhang et al. https://doi.org/10.1029/2022GL100888
- Indian summer monsoon simulations in successive generations of the NCAR Community Atmosphere Model R. Kumar et al. https://doi.org/10.1007/s00704-023-04514-0
- The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate T. Kuhlbrodt et al. https://doi.org/10.1029/2018MS001370
- An assessment of tropical cyclones in North American CORDEX WRF simulations T. Rendfrey et al. https://doi.org/10.1016/j.wace.2021.100382
- Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. https://doi.org/10.5194/esd-11-1233-2020
- The impact of air–sea coupling and ocean biases on the seasonal cycle of southern West African precipitation C. Wainwright et al. https://doi.org/10.1007/s00382-019-04973-0
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