2014
DOI: 10.1175/jcli-d-14-00350.1
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Simulations of Stratus Clouds over Eastern China in CAM5: Sources of Errors

Abstract: A previous study by Zhang et al. suggested two biases of the high-resolution configured Community Atmosphere Model, version 5 (CAM5), in simulating stratus clouds over eastern China, including an underestimation of stratus occurrence frequency and a spurious low stratus amount when present (AWP) value center over the Sichuan basin. In this study, the causes for these two problems are further explored.The underestimate of stratus occurrence frequency in the model is attributed to the bias in large-scale ambient… Show more

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Cited by 10 publications
(7 citation statements)
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“…5.2). A Two-step Shape-Preserving Advec-6328 Y. Zhou et al: GRIST-A20.9 tion Scheme (TSPAS; Zhang et al, 2017;Yu, 1994) is also a major option for tracer transport (as in Sect. 5.1).…”
Section: Model Framework and Dynamicsmentioning
confidence: 99%
“…5.2). A Two-step Shape-Preserving Advec-6328 Y. Zhou et al: GRIST-A20.9 tion Scheme (TSPAS; Zhang et al, 2017;Yu, 1994) is also a major option for tracer transport (as in Sect. 5.1).…”
Section: Model Framework and Dynamicsmentioning
confidence: 99%
“…In addition, this model uses a shape-preserving, but not mass-conserving, semi-lagrangian transport (SLT) method Rasch 1989, 1994) to solve the advection (transport) equation. Zhang et al (2015) compared the simulated local climate over eastern China between the spectral and FV CAM5 in several aspects (e.g., clouds and circulations). The two models generally produce similar climate except for some minor regional differences.…”
Section: Modelsmentioning
confidence: 99%
“…For each year between 2008-2012, we initialized the model using the ERA-interim reanalysis data [32] at 00:00 UTC on 31 May. The initialization method is to use the atmospheric state (zonal and meridional winds, temperature, moisture, and surface pressure) in the reanalysis data to replace the state in the initial data (see details in [33]). The model is then continuously integrated over the entire June-July-August (JJA) months.…”
Section: Of 14mentioning
confidence: 99%
“…In this manner, we may construct a five-year JJA climate, while avoiding a five-year continuous integration. Previous studies [33][34][35] have suggested that utilizing the ensemble of discontinuous runs is an efficient approach for comparing the modeling differences, especially for the fast moist processes in the model climate. Note that all of the results shown in this paper come from the 1 • -resolution simulations.…”
Section: Of 14mentioning
confidence: 99%