The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon
Open accessAbstract
We evaluate and compare the simulation of summer precipitation in China and the East Asian summer monsoon (EASM) by eight climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) and the corresponding eight previous models from CMIP5. Skill metrics are calculated to assess the climatology, interannual variation and linear trends during the time period 1961–2005. The CMIP6 multimodel ensemble (MME) is more skillful than the CMIP5 MME in the spatial correlation and standard deviation (SD) of the climatological precipitation over Eastern China. All the CMIP6 models improve the skill scores in the climatological pattern of the EASM relative to the previous models of CMIP5, which is related to their smaller sea surface temperature (SST) biases over the Northwestern Pacific Ocean. The models with a higher capability in reproducing the climatological pattern of the EASM tend to have a better skill in simulating summer precipitation over Eastern China. Most (six of eight) of the CMIP6 models have advantages over the previous CMIP5 models in reproducing the interannual anomalous rainfall pattern over Eastern China related to the EASM. Ten of the 16 models partly reproduce the weakening trend of the EASM during 1961–2005. The high‐skill models (GISS‐E2‐H, GISS‐E2‐1‐H) that simulate a clear weakening trend in the EASM also reasonably simulate the negative correlation between the EASM and the SST over Eastern Indian and the Western Pacific Oceans (EIWP). By contrast, the two models (CESM2 and CESM2‐WACCM) that simulate a positive correlation over the EIWP both produce increasing trends in the EASM indices. This indicates the importance of climate models in simulating the relationship between the EASM and the SST over the EIWP. Among the 16 models, only 2 CMIP6 models (BCC‐CSM2‐MR and GISS‐E2‐1‐H) partly reproduce the linear trend of precipitation over Eastern China, featured by the pattern of “southern flood and northern drought.”
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Cites
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-1937-2016 · Cited by 11,981
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., & Kaplan, A. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002670 · Cited by 10,991
The JRA-55 Reanalysis: General Specifications and Basic Characteristics
KOBAYASHI, S., OTA, Y., HARADA, Y., EBITA, A., MORIYA, M., ONODA, H., ONOGI, K., KAMAHORI, H., KOBAYASHI, C., ENDO, H., et al. (2015) · Journal of the Meteorological Society of Japan. Ser. II · doi:10.2151/jmsj.2015-001 · Cited by 4,760
Climate Effects of Black Carbon Aerosols in China and India
Menon, S., Hansen, J., Nazarenko, L., & Luo, Y. (2002) · Science · doi:10.1126/science.1075159 · Cited by 2,124
Monsoon and Enso: Selectively Interactive Systems
Webster, P. J., & Yang, S. (1992) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49711850705 · Cited by 1,971
Performance metrics for climate models.
Gleckler, P. J., Taylor, K. E., & Doutriaux, C. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2007jd008972 · Cited by 1,328
The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6
Wu, T., Lu, Y., Fang, Y., Xin, X., Li, L., Li, W., Jie, W., Zhang, J., Liu, Y., Zhang, L., et al. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-1573-2019 · Cited by 1,069 · cited 1×
“1m (Wu et al., 2019).”
Self-citationA gridded daily observation dataset over China region and comparison with the other datasets
Xue, G. (2013) · Chinese Journal of Geophysics · Cited by 884
How Well Do Coupled Models Simulate Today's Climate?
Reichler, T., & Kim, J. (2008) · Bulletin of the American Meteorological Society · doi:10.1175/bams-89-3-303 · Cited by 881
Choice of South Asian Summer Monsoon Indices
Wang, B., & Fan, Z. (1999) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1999)080<0629:cosasm>2.0.co;2 · Cited by 809
Metadata
- Authors
- Xin, X., Wu, T., Zhang, J., Yao, J., & Fang, Y.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 2020-04-27
- Volume
- 40
- Issue
- 15
- Pages
- 6423-6440
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W3015567566
- Cited by
- 325
- References
- 28
- FWCI
- 18.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
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