CAS FGOALS-f3-L Model Datasets for CMIP6 GMMIP Tier-1 and Tier-3 Experiments

He, Bian; Liu, Yimin; Wu, Guoxiong; Bao, Qing; Zhou, Tianjun; Wu, Xiaofei; Wang, Lei; Li, Jiandong; Wang, Xiaocong; Li, Jinxiao; Hu, Wenting; Zhang, Xiaoqi; Chen, Sheng; Tang, Yue

doi:10.1007/s00376-019-9085-y

Cited by 32 publications

(15 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Resolving Convective Precipitation (RCP) scheme has been used in both the high and low versions of FGOALS-f3 (Bao and Li, 2020;He et al, 2019;Li et al, 2019). The RCP scheme calculates convective and stratiform precipitation at the grid scale, which has the advantage of both scale-awareness and high computational efficiency.…”

Section: The Physical Parameterization and Its Impact On The Simulatementioning

confidence: 99%

“…The simulated tropical cyclones in FGOALS-f3 were introduced firstly, then the outputs of FGOALS-f3-L and FGOALS-f3-H were used to reveal the influence of horizontal resolution on these simulations. The latest version of FGOALS-f3 participated in the CMIP6 (Eyring et al 2016), DECK and MIPs endorsements (Zhou et al 2016;He et al 2019He et al , 2020Haarsma et al 2016). FAMIL2 is the atmospheric component of the climate system model FGOALS-f3.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of Horizontal Resolution on the Simulation of Tropical Cyclones in the Chinese Academy of Sciences FGOALS-f3 Climate System Model

Qing

Liu

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. The effects of horizontal resolution on the simulation of tropical cyclones were studied using the Chinese Academy of Sciences FGOALS-f3 climate system model from the High-Resolution Model Intercomparison Project (HighResMIP) for the Coupled Model Intercomparison Project Phase 6 (CMIP6). Both the low-resolution (approximately 100 km resolution) FGOALS-f3 model (FGOALS-f3-L) and the high-resolution (approximately 25 km resolution) FGOALS-f3 (FGOALS-f3-H) model were used to achieve the standard Tier1 experiment required by the HighResMIP. FGOALS-f3-L and FGOALS-f3-H have the same model parameterizations with exactly the same parameters. The only differences between the two models are the horizontal resolution and the time step. The performance of FGOALS-f3-H and FGOALS-f3-L in simulating tropical cyclones was evaluated with the observation firstly. FGOALS-f3-H (25 km resolution) simulated more realistic distributions of the formation, movement and intensity of the climatology of tropical cyclones than FGOALS-f3-L at 100 km resolution. The seasonal cycles of the number of tropical cyclones increased by about 50 % at the higher resolution and better matched the observed values in the peak month, especially in the eastern Pacific, northern Atlantic, southern Indian and southern Pacific oceans. The simulated variabilities of the number of tropical cyclones and the accumulated cyclone energy were both significantly improved from FGOALS-f3-L to FGOALS-f3-H over most of the ocean basins on the interannual timescale. The characteristics of the tropical cyclones (e.g., the average lifetime, the wind–pressure relationship and the horizontal structure) were more realistic in the simulation using the high-resolution model. The possible physical linkage between the performance of the tropical cyclone simulation and the horizontal resolution were revealed by further analyses. The improvement in the Madden–Julian oscillation from FGOALS-f3-H contributed to the realistic simulation of tropical cyclones. The genesis potential index and the vorticity, relative humidity, maximum potential intensity and the wind shear terms were used to diagnose the effects of the resolution. The current insufficiencies and future directions of improvement for the simulation of tropical cyclones and the potential applications of the FGOALS-f3-H model in the sub-seasonal to seasonal prediction of tropical cyclones are discussed.

show abstract

Section: The Physical Parameterization and Its Impact On The Simulatementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Horizontal Resolution on the Simulation of Tropical Cyclones in the Chinese Academy of Sciences FGOALS-f3 Climate System Model

Qing

Liu

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The hybrid σ-p coordinates have 32 layers, with the model top being at 2.16 hPa. A detailed physical configuration of the model was presented by He et al (2019He et al ( , 2020.…”

Section: Modelmentioning

confidence: 99%

Characteristics of the potential vorticity and its budget in the surface layer over the Tibetan plateau

Chen

Tang

et al. 2020

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

The variability of interior atmospheric potential vorticity (PV) is linked with PV generation at the Earth's surface. The present paper reveals the features of the surface PV and provides a stepping stone to investigate the surface PV budget. In this study, the formats of the PV and PV budget adopting a generalized vertical coordinate were theoretically examined to facilitate the calculation of the surface PV and its budget. Results show that the formats of the PV and PV budget equations are independent of the vertical coordinate. While the vertical component of the surface PV dominates over the platform of the Tibetan Plateau, the horizontal component plays an important role over the slopes of the Tibetan Plateau, especially the southern slope owing to the strong in-situ meridional gradient of the potential temperature. These results indicate that the employment of complete surface PV not only provides a finer PV structure but also more appropriately reveals its effect on atmospheric circulation. Diagnosis based on reanalysis and model output demonstrates that the surface PV budget equation is well balanced both in terms of the climate mean and synoptic process, and the surface PV budget in June has a prominent diurnal cycle. The diabatic heating with a minimum in the early morning and a maximum from evening to midnight contributes dominantly to this diurnal cycle. It is further indicated that positive PV generation due to diabatic heating is essential for the formation, development, and movement of the Tibetan Plateau vortex.

show abstract

“…Two sets of simulations, GMMIP Tier-1 and historical experiments, are carried out by CAS FGOALS-f3-L climate system model. The detailed experimental design and model configuration for the two experiments can be found in He et al (2019He et al ( , 2020, respectively. Table 1 shows the main differences between the two sets of experiments.…”

Section: Datasetsmentioning

confidence: 99%

“…The Chinese Academy of Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L) climate system model, which was developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)/Institute of Atmospheric Physics (IAP) (Zhou et al 2012(Zhou et al , 2015Bao et al 2019;He et al 2019), recently finished GMMIP and historical simulations and released related datasets (He et al 2019(He et al , 2020. It is worth evaluating its performance in precipitation simulations for further model improvement.…”

Section: Introductionmentioning

confidence: 99%

The climate variability in global land precipitation in FGOALS-f3-L: A comparison between GMMIP and historical simulations

Tang

Bao

et al. 2020

Atmospheric and Oceanic Science Letters

Self Cite

View full text Add to dashboard Cite

The climate variability in global land precipitation is important for the global hydrological cycle. Based on the Coupled Model Intercomparison Project Phase 6 (CMIP6) historical experiments and the Global Monsoons Model Intercomparison Project (GMMIP) Tier-1 experiments, the spatialtemporal characteristics of global and regional land precipitation long-term climate changes in CAS FGOALS-f3-L are evaluated in this study. By comparing these two kinds of experiments, the precipitation biases related to the SSTs are also discussed. The results show that the two experiments could capture the precipitation trend and amplitude to a certain degree compared with observations. The GMMIP simulations show a higher skill than the historical runs verified by correlation coefficients partly because the observed monthly mean SST was prescribed. For the Northern Hemisphere, GMMIP can reproduce the trend and variability in global precipitation, while historical simulations cannot reproduce the trend and variability. However, both experiments fail to simulate the amplitude of the southern hemisphere summer precipitation anomalies. Ensemble empirical mode decomposition (EEMD) was applied to compare the simulated precipitation on different time scales. The sea surface temperature anomaly (SSTA) bias, especially the La Niña-type SSTA, is the dominant source of the model bias for simulating interannual precipitation anomalies. The authors also emphasize that the response of precipitation anomalies to the ENSO effect varies regionally. This study highlights the importance of the multiannual variability in SSTAs in global and hemispheric precipitation simulations. The ways to improve the simulation of global precipitation for CAS FGOALS-f3-L are also discussed.

show abstract

CAS FGOALS-f3-L Model Datasets for CMIP6 GMMIP Tier-1 and Tier-3 Experiments

Cited by 32 publications

References 64 publications

Effect of Horizontal Resolution on the Simulation of Tropical Cyclones in the Chinese Academy of Sciences FGOALS-f3 Climate System Model

Effect of Horizontal Resolution on the Simulation of Tropical Cyclones in the Chinese Academy of Sciences FGOALS-f3 Climate System Model

Characteristics of the potential vorticity and its budget in the surface layer over the Tibetan plateau

The climate variability in global land precipitation in FGOALS-f3-L: A comparison between GMMIP and historical simulations

Contact Info

Product

Resources

About