Overview of the CMIP6 Historical Experiment Datasets with the Climate System Model CAS FGOALS-f3-L

Guo, Yikun; Yu, Yongqiang; Lin, Pengfei; Liu, Hailong; He, Bian; Bao, Qing; Zhao, Shuwen; Wang, Xiaowei

doi:10.1007/s00376-020-2004-4

Cited by 29 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This improvement is mainly due to the changes in the radiation and microphysics schemes in the atmospheric model, such that the unrealistic greenhouse effect over the upper tropical troposphere can be reasonably handled (He 2016). The model's reasonable climate sensitivity also contributes to the realistic simulations of the historical run as documented in Guo et al (2020).…”

Section: Basic Performance Of Model Resultsmentioning

confidence: 99%

See 1 more Smart Citation

CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments

Bao

et al. 2020

Atmospheric and Oceanic Science Letters

Self Cite

View full text Add to dashboard Cite

The datasets of the Chinese Academy of Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L) model for the baseline experiment of the fully coupled runs in the Diagnostic, Evaluation and Characterization of Klima (DECK) common experiments of phase 6 of the Coupled Model Intercomparison Project (CMIP6) are described in this study. The CAS FGOALS-f3-L model team submitted the piControl run with a near equilibrium ocean state for 561 model years, and 160-year integrations for three ensemble members of abrupt-4× CO2 and 1pctCO2, respectively. The ensemble members restart from the 600, 650 and 700 model years in the piControl run, respectively. The baseline performances of the model are validated in this article. The preliminary evaluation suggests that the CAS FGOALS-f3-L model can preserve the long-term stability well for a mean net radiation flux of 0.31 W m −2 at the top of the atmosphere, and a limited decreasing trend of −0.03 W m −2 /100 yr. The global annual mean SST is 16.45°C for the 561-year mean, with an increase of 0.03°C/100 yr. The model captures the basic spatial patterns of climate-mean SST and precipitation, but still underestimates the SST over the warm pool. The coupled model mitigates the precipitation bias in the ITCZ compared with the results from CMIP5. Moreover, the model's climate sensitivity represented by the equilibrium climate sensitivity has been reduced from 4.5°C in CMIP5 to 3.0°C in CMIP6. All these datasets contribute to the benchmark of model behaviors for the desired continuity of CMIP.

show abstract

Section: Basic Performance Of Model Resultsmentioning

confidence: 99%

“…Version 3 of the LASG/IAP Climate System Ocean Model (LICOM3)(Liu et al 2012;Li et al 2017). The updates from LICOM2 and the baseline performance of the model for the historical runs are presented inGuo et al (2020) (3) Version 4.0 of the Community Land Model (CLM4)(Oleson et al 2010). (4) Version 4 of the Los Alamos Sea Ice Model (CICE4)(Hunke et al 2010).…”

mentioning

confidence: 99%

CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments

Bao

et al. 2020

Atmospheric and Oceanic Science Letters

Self Cite

View full text Add to dashboard Cite

show abstract

“…CC BY 4.0 License. topography and uncertainties in the observational data (e.g., Guo et al, 2020). The right panel of Fig.…”

Section: Temperature and Windsmentioning

confidence: 99%

Atmosphere-Ocean-Aerosol-Chemistry-Climate Model SOCOLv4.0: description and evaluation

Sukhodolov¹,

Egorova²,

Stenke³

et al. 2021

Preprint

View full text Add to dashboard Cite

Abstract. This paper features the new Atmosphere-Ocean-Aerosol-Chemistry-Climate Model SOCOLv4.0 and its validation. The new model was built by interactively coupling the MPI-ESM1.2 Earth System Model (T63, L47) with the chemistry (99 species) and size-resolving (40 bins) sulfate aerosol microphysics modules from the Aerosol-Chemistry-Climate Model SOCOL-AERv2. We evaluate its performance against reanalysis products and observations of atmospheric circulation, temperature, and trace gases distribution, with a focus on stratospheric processes. We show that SOCOLv4.0 captures the low- and mid-latitude stratospheric ozone well in terms of the climatological state, variability and evolution. The model provides an accurate representation of climate change, showing a global surface warming trend consistent with observations as well as realistic cooling in the stratosphere caused by greenhouse gas emissions, although, as in previous model versions, a too fast residual circulation and exaggerated mixing in the surf zone are still present. The stratospheric sulfur budget for moderate volcanic activity is well represented by the model, albeit with slightly underestimated aerosol lifetime after major eruptions. The presence of the interactive ocean and a successful representation of recent climate and ozone layer trends make SOCOLv4.0 ideal for studies devoted to future ozone evolution and effects of greenhouse gases and ozone-destroying substances, as well as the evaluation of potential solar geoengineering measures through sulfur injections. Potential further model improvements could be to increase the vertical resolution, which is expected to allow better meridional transport in the stratosphere, as well as to update the photolysis calculation module and budget of mesospheric odd nitrogen. In summary, this paper demonstrates that SOCOLv4.0 is well suited for applications related to the stratospheric ozone and sulfate aerosol evolution, including its participation in ongoing and future model intercomparison projects.

show abstract

“…Most notably, advances in SHiELD can migrate into UFS models slated for operational implementation at NCEP, including the FV3‐based GFSv15. NASA GEOS (National Aeronautics and Space Administration Goddard Earth Observing System; Putman & Suárez, 2011), NASA/Harvard GEOS‐Chem High‐Performance, The Community Earth System Model version using the FV3 dynamical core, and the Chinese Academy of Sciences' FGOALS (Flexible Global Ocean‐Atmosphere‐Land System Model; Guo et al, 2020) all also use FV3 as their dynamical core and can benefit from the advances described below. This diversity of FV3‐based models shows the advantages of using common components to leverage advances in the dynamical core but while still allowing centers to tailor their models to their own needs, the freedom to innovate new model designs, and to encourage the development of models as holistic‐integrated systems, rather than clumsily joining independent components.…”

Section: Unified Modeling At Gfdlmentioning

confidence: 99%

GFDL SHiELD: A Unified System for Weather‐to‐Seasonal Prediction

Harris

Zhou

Lin

et al. 2020

J Adv Model Earth Syst

View full text Add to dashboard Cite

We present the System for High-resolution prediction on Earth-to-Local Domains (SHiELD), an atmosphere model developed by the Geophysical Fluid Dynamics Laboratory (GFDL) coupling the nonhydrostatic FV3 Dynamical Core to a physics suite originally taken from the Global Forecast System. SHiELD is designed to demonstrate new capabilities within its components, explore new model applications, and to answer scientific questions through these new functionalities. A variety of configurations are presented, including short-to-medium-range and subseasonal-to-seasonal prediction, global-to-regional convective-scale hurricane and contiguous U.S. precipitation forecasts, and global cloud-resolving modeling. Advances within SHiELD can be seamlessly transitioned into other Unified Forecast System or FV3-based models, including operational implementations of the Unified Forecast System. Continued development of SHiELD has shown improvement upon existing models. The flagship 13-km SHiELD demonstrates steadily improved large-scale prediction skill and precipitation prediction skill. SHiELD and the coarser-resolution S-SHiELD demonstrate a superior diurnal cycle compared to existing climate models; the latter also demonstrates 28 days of useful prediction skill for the Madden-Julian Oscillation. The global-to-regional nested configurations T-SHiELD (tropical Atlantic) and C-SHiELD (contiguous United States) show significant improvement in hurricane structure from a new tracer advection scheme and promise for medium-range prediction of convective storms. Plain Language Summary At many weather forecasting centers where computer weather models are run, different models are run for different applications. However, each separate model multiplies the effort needed to maintain and upgrade each model and makes it difficult to move improvements between models. We present a new "unified" weather modeling system, System for High-resolution prediction on Earth-to-Local Domains, able to be configured for a variety of applications. This system uses a powerful computer code, FV3, to compute the fluid motion of the atmosphere at any scale and also able to zoom in on areas of interest to better "see" severe storms or intense hurricanes. We show how we started from a quickly assembled model for testing FV3 and then gradually improved the representation of different atmospheric processes and expanded into new uses for the system, including short-range severe thunderstorm prediction, hurricane forecasting, and forecasts out to as long as 6 weeks. We address some of the challenges that we faced and discuss prospects for future model improvements. Since many of the parts of System for High-resolution prediction on Earth-to-Local Domains are used by models being developed by the National Weather Service for use by weather forecasters, the advances described here can be rapidly introduced into those models, eventually improving official forecasts. 1. Unified Modeling at GFDL As computing power increases, global atmosphere models are now capable of regul...

show abstract

Overview of the CMIP6 Historical Experiment Datasets with the Climate System Model CAS FGOALS-f3-L

Cited by 29 publications

References 34 publications

CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments

CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments

Atmosphere-Ocean-Aerosol-Chemistry-Climate Model SOCOLv4.0: description and evaluation

GFDL SHiELD: A Unified System for Weather‐to‐Seasonal Prediction

Contact Info

Product

Resources

About