Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3941-2022
https://doi.org/10.5194/gmd-15-3941-2022
Model experiment description paper
 | 
16 May 2022
Model experiment description paper |  | 16 May 2022

Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6

Xue Zheng, Qing Li, Tian Zhou, Qi Tang, Luke P. Van Roekel, Jean-Christophe Golaz, Hailong Wang, and Philip Cameron-Smith

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Cited articles

Adler, R. F., Sapiano, M. R. P., Huffman, G. J., Wang, J.-J., Gu, G., Bolvin, D., Chiu, L., Schneider, U., Becker, A., Nelkin, E., Xie, P., Ferraro, R., and Shin, D.-B.: The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation, Atmosphere, 9, 138, https://doi.org/10.3390/atmos9040138, 2018. a
Bader, D., Collins, W., Jacob, R., Rasch, P. J. P., Taylor, M., Thornton, P., and Williams, D.: Accelerated climate modeling for energy, U.S. Department of Energy, https://climatemodeling.science.energy.gov/ (last access: 12 May 2022), 2014. a
Bader, D. C., Leung, R., Taylor, M., and McCoy, R. B.: E3SM-Project E3SM1.0 model output prepared for CMIP6 CMIP historical, Earth System Grid Federation [data set], https://doi.org/10.22033/ESGF/CMIP6.4497, 2019. a
Bi, D., Dix, M., Marsland, S., O’Farrell, S., Sullivan, A., Bodman, R., Law, R., Harman, I., Srbinovsky, J., Rashid, H. A., Dobrohotoff, P., Mackallah, C., Yan, H., Hirst, A., Savita, A., Dias, F. B., Woodhouse, M., Fiedler, R., and Heerdegen, A.: Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model, J. Southern Hemisphere Earth Syst. Sci., 70, 225–251, https://doi.org/10.1071/ES19040, 2020. a
Brown, J. N., Matear, R. J., Brown, J. R., and Katzfey, J.: Precipitation projections in the tropical Pacific are sensitive to different types of SST bias adjustment, Geophys. Res. Lett., 42, 10856–10866, https://doi.org/10.1002/2015GL066184, 2015. a
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Short summary
We document the model experiments for the future climate projection by E3SMv1.0. At the highest future emission scenario, E3SMv1.0 projects a strong surface warming with rapid changes in the atmosphere, ocean, sea ice, and land runoff. Specifically, we detect a significant polar amplification and accelerated warming linked to the unmasking of the aerosol effects. The impact of greenhouse gas forcing is examined in different climate components.
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