CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6

Bao, Qing; Liu, Yimin; Wu, Guoxiong; He, Bian; Li, Jinxiao; Wang, Lei; Wu, Xiaofei; Chen, Kangjun; Wang, Xiaocong; Yang, Jing; Zhang, Xiaoqi

doi:10.1080/16742834.2020.1814675

Cited by 22 publications

(7 citation statements)

References 16 publications

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“…The global dust simulations are conducted using the SPRINTARS (Spectral Radiation Transport Model for Aerosol Species) aerosol model (Takemura et al, 2005(Takemura et al, , 2009, which is coupled online with the CAS-FGOALS-f3 (the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System) GCM (Bao et al, 2013(Bao et al, , 2020Wang et al, 2020;Zhao et al, 2022). The size distribution of dust particles in the SPRINTARS model is categorized into 10 bins, ranging from 0.2 to 20 μm in diameter (Takemura et al, 2000).…”

Section: Cas-fgoals-sprintarsmentioning

confidence: 99%

Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices

Wang,

Liu,

et al. 2024

Geophysical Research Letters

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The dust direct radiative effect (DRE) depends strongly on the dust particle size distribution (PSD) and complex refractive index (CRI). Although recent studies constrained the dust PSD in the models, its CRI uncertainties are still large. As a result, whether dust warms or cools the climate system remains unclear. Here, we estimate the dust DRE by employing the regionally‐dependent dust CRI based on global measurements. We find that new dust CRI significantly enhances the scattering of dust in the shortwave while reduces its absorption in the longwave, which is opposite to that caused by increasing the coarse and giant dust fraction via constraining the PSD. Constraining both PSD and CRI ultimately leads to a net dust DRE of −0.68 W m−2, a cooling stronger than current model estimates.

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Section: Cas-fgoals-sprintarsmentioning

confidence: 99%

Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices

Wang,

Liu,

et al. 2024

Geophysical Research Letters

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“…This enhancement of the atmospheric component results in improved computational efficiency and accuracy. Besides, the key parameterization in FAMIL2 is a Resolved Convection Precipitation scheme (RCP), which is independently developed to calculate the microphysics processes in the convective precipitation for both deep and shallow convection (Bao and Li, 2020). Due to the rapid phase changes occurring within the convective cloud, a sub-time step of 150 seconds is employed for the calculation of microphysical processes within a physical timestep of 30 minutes.…”

Section: Introductionmentioning

confidence: 99%

Dynamic MJO forecasts using an ensemble subseasonal-to-seasonal forecast system of IAP-CAS model

Liu,

Bao,

et al. 2024

Preprint

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Abstract. The Madden-Julian Oscillation (MJO) is a crucial predictability source on a sub-seasonal to seasonal (S2S) timescale. Therefore, the models participating in the WWRP/WCRP S2S prediction project focus on accurately predicting and analyzing the MJO. This study provided a detailed description of the configuration within the IAP-CAS S2S forecast system. We assessed the accuracy of the IAP-CAS model's MJO forecast using traditional RMM analysis and cluster analysis. Then, we explained the reasons behind any bias observed in the MJO forecast. Comparing the 20-year hindcast with observations, we found that the IAP-CAS ensemble mean has a skill of 24 days. However, there is still room for improvement in the ensemble spread. To examine the MJO structure in detail, we used cluster analysis to classify the MJO events during boreal winter into four types: fast-propagating, slow-propagating, standing, and jumping patterns of MJO. The model exhibits biases of overestimated amplitude and faster propagation speed in the propagating MJO events. Upon further analysis, it was found that the model forecasted a wetter background state. This leads to more intense forecasted convection and stronger coupled winds, especially in the fast MJO events. However, the horizontal moisture advection effect for eastward propagation is overestimated in IAP-CAS due to the wetter state and more substantial MJO circulations, which results in a faster MJO mode. These findings show that the IAP-CAS skilfully forecasts signals of MJO and its propagation, and they also provide valuable guidance for improving the current MJO forecast by developing the ensemble system and moisture forecast.

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“…Simulations involving the finer resolution model of HighResMIP may shed more lights on climate change. Recently, related works based on HighResMIP models have reported that the enhancement of horizontal resolution can significantly improve the performance of models for the diurnal variation of tropical cyclones and the resulting precipitation (Bao et al, 2020;Zhang et al, 2021). However, there is a lack of studies on evaluation of precipitation simulation over the complex terrain by using CMIP6 HighResMIP models.…”

Section: Introductionmentioning

confidence: 99%

To what extent horizontal resolution improves the simulation of precipitation in CMIP6 HighResMIP models over Southwest China?

Jin

Chen

et al. 2023

Front. Earth Sci.

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Southwest China (SWC) is located in the eastern part of Tibetan Plateau (TP) with large elevation differences and complex topography, which has always been a challenge to the simulation of precipitation in climate modeling community. In this study, the differences in the simulation of precipitation over the SWC are evaluated using the lower and higher resolution models (LR and HR) from the High–Resolution Model Intercomparison Project (HighResMIP) protocol in Coupled Model Intercomparison Project Phase 6 (CMIP6). Our results indicate that the spatial patterns of annual precipitation over the SWC for the period 1985–2014 are well reproduced in most of the HR and LR models, with an increasing tendency from the northwest to southeast. Compared with LR models, the wet biases over the eastern TP and the dry biases over the Sichuan Basin are significantly reduced in HR models. The bias for annual precipitation of the multi–model ensemble mean (MME) has been reduced from 0.97 mm/day (LR) to 0.72 mm/day (HR). In addition, the simulation of extreme precipitation is significantly improved in the finer horizontal resolution models, showing effectively reduced simulation biases in the Sichuan Basin compared with the LR models. The frequency and intensity of extremes are represented by heavy precipitation days (R10 mm) and maximum consecutive 5 days precipitation (Rx5day), which the relative changes have been decreased from 66% (LR) to 47% (HR) in R10 mm and decreased from 23% (LR) to 19% (HR) in Rx5day. We further examine the possible reasons for the difference between LR and HR models in precipitation simulation, showing that the HR models could generate “additional” cyclonic circulation and promote more upward motion with the water vapor convergence, thus correcting the dry biases of precipitation simulation over the Sichuan Basin. This indicates that atmospheric circulation and moisture conditions could be simulated more realistically in climate model with a finer resolution, further improving precipitation simulation performance.

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CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6

Cited by 22 publications

References 16 publications

Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices

Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices

Dynamic MJO forecasts using an ensemble subseasonal-to-seasonal forecast system of IAP-CAS model

To what extent horizontal resolution improves the simulation of precipitation in CMIP6 HighResMIP models over Southwest China?

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