Reduced Spring Precipitation Bias and Associated Physical Causes over South China in FGOALS-f3 Climate Models: Experiments with the Horizontal Resolutions-Reference-Cited by-同舟云学术

Reduced Spring Precipitation Bias and Associated Physical Causes over South China in FGOALS-f3 Climate Models: Experiments with the Horizontal Resolutions

Published:2024-08 Issue:4 Volume:38 Page:784-804
ISSN:2095-6037
Container-title:Journal of Meteorological Research
language:en
Short-container-title:J Meteorol Res

Author:

Zi Peng,Liu Yimin,Li Jiandong,Yang Ruowen,He Bian,Bao Qing

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13351-024-3200-4.pdf

Reference80 articles.

1. Ai, Y. W., H. P. Chen, and J. Q. Sun, 2023: The underestimation of spring precipitation over South China is caused by the weak simulations of the dynamic motion in CMIP6 models. Int. J. Climatol., 43, 2586–2600, doi: https://doi.org/10.1002/joc.7991.

2. An, B., Y. Q. Yu, Q. Bao, et al., 2022: CAS FGOALS-f3-H data-set for the high-resolution model intercomparison project (HighResMIP) Tier 2. Adv. Atmos. Sci., 39, 1873–1884, doi: https://doi.org/10.1007/s00376-022-2030-5.

3. Bao, Q., X. F. Wu, J. X. Li, et al., 2019: Outlook for El Niño and the Indian Ocean Dipole in autumn-winter 2018–2019. Chin. Sci. Bull., 64, 73–78, doi: https://doi.org/10.1360/N972018-00913. (in Chinese)

4. Bao, Q., Y. M. Liu, G. X. Wu, et al., 2020: CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6. Atmos. Oceanic Sci. Lett., 13, 576–581, doi: https://doi.org/10.1080/16742834.2020.1814675.

5. Beck, H. E., A. I. J. M. van Dijk, V. Levizzani, et al., 2017: MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrol. Earth Syst. Sci., 21, 589–615, doi: https://doi.org/10.5194/hess-21-589-2017.

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